## Software for masking + explainability ## (c) Vicenç Torra ## Current version: 20230316 ## ## References: ## ## L. Jiang, V. Torra, Data Protection and Multi-Database Data-Driven Models ## Future Internet 2023, 15(3), 93; https://doi.org/10.3390/fi15030093 ## ## This software describes the experiments we perform in the paper ## about masking, database integration, and ML models ## ## Main function: integration and analysis ## dbTestGenericMP (trOX, trOY, teOX, teOY, n1, ncv, nv, mmethod, params, modelRegression, erOrDiff = True) ## Other functions: ## dbIntegration (db1, db2, lol, fromDB1, whereDB1inDB, fromDB2, whereDB2inDB) ## database integration ## Computation of results: ## ## exec(open("prog.vectors.matrices.web.txt").read()) ## exec(open("prog.choquet.web.txt").read()) ## exec(open("prog.sdc.web.txt").read()) ## exec(open("prog.me.def.web.txt").read()) ## ------------------------------------------------------------- ## Main functions ## ------------------------------------------------------------- ## Function: ## Integration of two given databases with some common variables (vCommon). ## Parameters: ## db1/db2: databases ## fromDB1, fromDB2: attributes to be copied in the integrated DB ## whereDB1inDB, whereDB2inDB: where to put these attributes in DB ## Examples: ## dbIntegration(iris_fRows[1:10],irisp[1:10], list(range(0,10)), [0,1],[0,1],[2,3],[2,3]) def dbIntegration (db1, db2, lol, fromDB1, whereDB1inDB, fromDB2, whereDB2inDB): """ Example: # mat1 = [[11,12,13],[21,22,23],[31,32,33]] # mat2 = [[13,14,15,16],[23,24,25,26],[33,34,35,36]] # dbIntegration(mat1,mat2,[1,2,3],[0,1,2],[0,1,2],[1,2,3],[3,4,5]) """ db = [] for i in range(0,len(db2)): rec = [0]*(len(whereDB1inDB)+len(whereDB2inDB)) for j in range(len(whereDB1inDB)): rec[whereDB1inDB[j]]=db1[lol[i]][fromDB1[j]] for j in range(len(whereDB2inDB)): rec[whereDB2inDB[j]]=db2[i][fromDB2[j]] db.append(rec) return(db) ## Function: ## compute MSE for a ML model for the integrated database, explicit list of variables ## Parameters: ## trainX, trainY, testX, testY: training and testing in databases X and Y ## vOnlyDB1, vCommon, vOnlyDB2: variables only in DB1, in common DB1 and DB2, only in DB2 ## mmethod, params: masking method and parameters (a list of parameters) ## modelRegression: model for regression ## erOrDiff = True: error in absolute terms, or the difference of the error of the ML with the original file ## Example: ## dbSplitIntegrateDBs (trIX, trIY, teIX, teIY, [0,1], [2], [3], noiseAddition, [0.001,0.01,0.1,1], sklearn.linear_model.LinearRegression) ## dbSplitIntegrateDBs (trIX, trIY, teIX, teIY, [0,1], [2], [3], noiseAddition, [0.001,0.01,0.1,1], sklearn.linear_model.LinearRegression) ## dbSplitIntegrateDBs (trIX, trIY, teIX, teIY, [0], [1,2], [3], noiseAddition, [0.001,0.01,0.1,1], sklearn.linear_model.LinearRegression) ## dbSplitIntegrateDBs (trOX, trOY, teOX, teOY, [0], [1,2], [3,4,5,6,7], noiseAddition, [0.001,0.01,0.1,1], sklearn.linear_model.LinearRegression) def dbSplitIntegrateDBs (trainX, trainY, testX, testY, vOnlyDB1, vCommon, vOnlyDB2, mmethod, params, # nPoints, modelRegression, erOrDiff = True): # vOnlyDB1 = [0,1,2,3] # vCommon = [4,5] # vOnlyDB2 = [6,7,8,9,10] # # Variables in dbI for DB1 and DB2 vDB1 = vOnlyDB1 + vCommon vDB2 = vCommon + vOnlyDB2 # Variables in DB1 and DB2 corresponding to dbI ownPositionsA = list(range(0,len(vOnlyDB1))) ownPositionsB = list(range(len(vCommon),len(vCommon)+len(vOnlyDB2))) commonPositionsA = list(range(len(vOnlyDB1), len(vOnlyDB1)+len(vCommon))) commonPositionsB = list(range(0,len(vCommon))) # # nRecords = len(dbI) #print(trainX) #print(vDB1) #print(vDB2) dadA, otherA = matrixColumnSelection(trainX, vDB1) dadB, otherB = matrixColumnSelection(trainX, vDB2) ## ## errorOriginal = sdcRegressionError (trainX, trainY, testX, testY, modelRegression)[0] if erOrDiff: allErrors = [errorOriginal] allMatchs = [len(trainX)] myError = 0 else: allErrors = [] allMatchs = [] myError = errorOriginal for param in params: mskA = mmethod(dadA, param) mskB = mmethod(dadB, param) ## mskA_fMean, maskA_fSD, maskA_fNorm = normalizeMatrixByColumn(mskA) mskB_fMean, maskB_fSD, maskB_fNorm = normalizeMatrixByColumn(mskB) ## lol, nmatch, lenf = sdcRecordLinkageLoL (maskA_fNorm, maskB_fNorm, commonPositionsA, commonPositionsB) ## # print(fromLoL2RLr(lol)) ## def dbIntegration (db1, db2, fromDB1, whereDB1inDB, fromDB2, whereDB2inDB): dbInt = dbIntegration (dadA, dadB, lol, ownPositionsA+commonPositionsA, vDB1, ownPositionsB, vOnlyDB2) ## ## return(dbInt) diffMErrOErr = sdcIL_mlRE_GivenOErr (myError, dbInt, trainY, testX, testY, modelRegression) ## result = c(fromLoL2RLr(lol), errorSS2) ## print(errorOriginal) #print("(nMatch "+str(nmatch)+" error "+str(diffMErrOErr)) allErrors.append(diffMErrOErr) allMatchs.append(nmatch) return (allErrors,allMatchs) ## Function: ## Creates lists of variables from integer values, for the database integration ## Parameters: ## n1: variables only in 1st file ## ncv: number of common variables ## nv: total number of variables (all variables) ## Note: Function used in dbTestGenericMP def dbPar (n1, ncv, nv): return(list(range(0,n1)), list(range(n1,n1+ncv)), list(range(n1+ncv, nv))) ## Function: ## compute MSE for a ML model for the integrated database, implicit list of variables ## Example: ## dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, [0.001,0.01,0.1,1], sklearn.linear_model.LinearRegression) def dbTestGenericMP (trOX, trOY, teOX, teOY, n1, ncv, nv, mmethod, params, modelRegression, erOrDiff = True): vOnlyDB1, vCommon, vOnlyDB2 = dbPar(n1,ncv,nv) return(dbSplitIntegrateDBs (trOX, trOY, teOX, teOY, vOnlyDB1, vCommon, vOnlyDB2, mmethod, params, modelRegression,erOrDiff)) ## ------------------------------------------------------------- ## Other functions: plotting and experiments ## ------------------------------------------------------------- ## Function: ## to plot the results of the experiments. ## Parameters: ## lox: list of curves to plot ## mmethod: masking method (title of the figure) ## loLoParams: list of list of parameters ## which=[0,1,2,3], myFileName="", whichCurves=[], wLeg=[], pltYLim=[]: additional parameters ## Example: ## see below in the experiments def dbPlotLoResults (lox, mmethod, loLoParams, which=[0,1,2,3], myFileName="", whichCurves=[], wLeg=[], pltYLim=[]): plt.close() plt.show() # plt.clf() plt.ion() if wLeg == []: wLeg = [""]*len(lox) if whichCurves == []: whichCurves = list(range(0,len(lox))) if (1 in which): plt.ylim([0,1000]) if (pltYLim!=[]): plt.ylim(pltYLim) #print(wLeg) #print(wLeg[1]) #print("Curves="+str(whichCurves)) for i in whichCurves: #print("Here:") #print(i) if 0 in which: plt.plot(loLoParams[i],lox[i][0], label=wLeg[i]+"_e") # "d(m(S),m(S'))") if 1 in which: plt.plot(loLoParams[i],lox[i][1], label=wLeg[i]+"_r") # "d(m(S),m(S'))") plt.legend() plt.xlabel('parameters') plt.ylabel('distances') plt.title(mmethod) if myFileName!="": plt.savefig(myFileName, format='eps') ## Function: ## Compute the average of "it" executions for (mdav, lr, d) for nC = 1, \dots, 6. def testTrAX (it): dbA_d_5_1_8_mdav_lr0 = [] dbA_d_5_2_8_mdav_lr0 = [] dbA_d_4_3_8_mdav_lr0 = [] dbA_d_4_4_8_mdav_lr0 = [] dbA_d_3_5_8_mdav_lr0 = [] dbA_d_2_6_8_mdav_lr0 = [] for i in range(0,it): trAX, trAY, teAX, teAY = meMyTrainTest(list(map(lambda x:x[0:12], f1080_fRows)), list(map(lambda x:x[12], f1080_fRows)), int(0.8*len(f1080_fRows))) dbA_d_5_1_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 5, 1, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_5_2_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 5, 2, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_4_3_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 4, 3, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_4_4_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 4, 4, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_3_5_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 3, 5, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_2_6_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 2, 6, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_5_1_8_mdav_lr0.append(dbA_d_5_1_8_mdav_lr) dbA_d_5_2_8_mdav_lr0.append(dbA_d_5_2_8_mdav_lr) dbA_d_4_3_8_mdav_lr0.append(dbA_d_4_3_8_mdav_lr) dbA_d_4_4_8_mdav_lr0.append(dbA_d_4_4_8_mdav_lr) dbA_d_3_5_8_mdav_lr0.append(dbA_d_3_5_8_mdav_lr) dbA_d_2_6_8_mdav_lr0.append(dbA_d_2_6_8_mdav_lr) return ((testTrAXAverages(dbA_d_5_1_8_mdav_lr0), testTrAXAverages(dbA_d_5_2_8_mdav_lr0), testTrAXAverages(dbA_d_4_3_8_mdav_lr0), testTrAXAverages(dbA_d_4_4_8_mdav_lr0), testTrAXAverages(dbA_d_3_5_8_mdav_lr0), testTrAXAverages(dbA_d_2_6_8_mdav_lr0)), (testTrAXVariances(dbA_d_5_1_8_mdav_lr0), testTrAXVariances(dbA_d_5_2_8_mdav_lr0), testTrAXVariances(dbA_d_4_3_8_mdav_lr0), testTrAXVariances(dbA_d_4_4_8_mdav_lr0), testTrAXVariances(dbA_d_3_5_8_mdav_lr0), testTrAXVariances(dbA_d_2_6_8_mdav_lr0))) ## Auxiliary functions: averages and variances for the experiments testTrAX (it) def testTrAXAverages (lol): return (matrixColumnMeans(list(map(lambda x:x[0], lol))), matrixColumnMeans(list(map(lambda x:x[1], lol)))) def testTrAXVariances (lol): return (matrixColumnVariance(list(map(lambda x:x[0], lol))), matrixColumnVariance(list(map(lambda x:x[1], lol)))) ## --------------------------------------------- ## PREPARING EXPERIMENTS ## --------------------------------------------- ## Experiments Step 1. Reading files ## --------------------------------------------- adult_fHeader, adult_fRows = readNumericalFileWithHeader("adult_num.csv") adult_fMeans, adult_fSD, adult_fRowsNorm = normalizeMatrixByColumn(adult_fRows) concrete_fHeader, concrete_fRows = readNumericalFileWithHeader("Concrete_DataVarsV1V7.csv") concrete_fMeans, concrete_fSD, concrete_fRowsNorm = normalizeMatrixByColumn(concrete_fRows) f1080_fHeader, f1080_fRows = readNumericalFileWithHeader("1080.csv") ## CASC dataset f1080_fMeans, f1080_fSD, f1080_fRowsNorm = normalizeMatrixByColumn(f1080_fRows) abalone_fRows = readNumericalFileWithComments("abalone.data.numeric.csv") abalone_fMeans, abalone_fSD, abalone_fRowsNorm = normalizeMatrixByColumn(abalone_fRows) iris_fRows = readNumericalFileWithComments("iris.data.numeric.csv") iris_fMeans, iris_fSD, iris_fRowsNorm = normalizeMatrixByColumn(iris_fRows) ionosphere_fRows = readNumericalFileWithComments("ionosphere.data.numeric.csv") ionosphere_fMeans, ionosphere_fSD, ionosphere_fRowsNorm = normalizeMatrixByColumn(ionosphere_fRows) tarragona_fHeader, tarragona_fRows = readNumericalFileWithHeader("Tarragona_from_R.csv") tarragona_fMeans, tarragona_fSD, tarragona_fRowsNorm = normalizeMatrixByColumn(tarragona_fRows) from sklearn.datasets import fetch_california_housing california_housing = fetch_california_housing(as_frame=True) diabetes = sklearn.datasets.load_diabetes() ## return_X_y=True) ## --------------------------------------------- ## Experiments Step 2. Dividing train and test ## --------------------------------------------- ## Training and testing for the different datasets. ## Variable names: tr_X, tr_Y, te_X, te_Y (with a capital letter for the file name) ## File names: ## C: California (this takes too much time and it is not computed) ## D: Diabetes ## T: Tarragona ## I: Iris ## ## len(california_housing.target) ## 20640 trCX, trCY, teCX, teCY = meMyTrainTest(california_housing.data.values.tolist(), california_housing.target.values.tolist(), 20600) trDX, trDY, teDX, teDY = meMyTrainTest(diabetes.data.tolist(), diabetes.target.tolist(), 400) ## We used [0:12] and use then x[12]: trTX, trTY, teTX, teTY = meMyTrainTest(list(map(lambda x:x[0:12], tarragona_fRows)), list(map(lambda x:x[12], tarragona_fRows)), 400) ## But we also used before: ## trTX, trTY, teTX, teTY = meMyTrainTest(list(map(lambda x:x[0:11], tarragona_fRows)), list(map(lambda x:x[12], tarragona_fRows)), 400) # trIX, trIY, teIX, teIY = meMyTrainTest(list(map(lambda x:x[0:4], iris_fRows)), list(map(lambda x:x[4], iris_fRows)), 125) trOX, trOY, teOX, teOY = meMyTrainTest(list(map(lambda x:x[0:8], concrete_fRows)), list(map(lambda x:x[8], concrete_fRows)), int(0.8*len(concrete_fRows))) trAX, trAY, teAX, teAY = meMyTrainTest(list(map(lambda x:x[0:12], f1080_fRows)), list(map(lambda x:x[12], f1080_fRows)), int(0.8*len(f1080_fRows))) ## --------------------------------------------- ## Experiments Step 3.D: Experiments with Diabetes ## --------------------------------------------- ## ## - ML models considered: ## - sklearn.linear_model.LinearRegression ## - sklearn.linear_model.SGDRegressor ## - sklearn.kernel_ridge.KernelRidge ## - sklearn.svm.SVR from sklearn.kernel_ridge import KernelRidge ## For each data set and parameterization, there is the call applied ## as well as the results obtained. ## FILE PROCESSED: CASC f1080 --------------------- trAp_mdav = [2,3,4,5,6,7,8,9,10,12,14,15,16,18,20] trAp_mond = [2,3,4,5,6,7,8,9,10,12,14,15,16,18,20] trAp_nAdd = [0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.2,1.4,1.5] trAp_nAdL = [0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.2,1.4,1.5] trAp_nmf = [2,3,4,5,6,7,8] trAp_svd = [2,3,4,5,6,7,8] trAp_pca = [1,2,3] ## Maximum parameter needs to be according to the dimension of the matrix, which is not 13 as it is divided in two ## Experiments with SMALLER k dbA_d_5_1_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 5, 1, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_5_2_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 5, 2, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_4_3_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 4, 3, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_4_4_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 4, 4, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_3_5_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 3, 5, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_2_6_8_mdav_lr = dbTestGenericMP (trAX, trAY, teAX, teAY, 2, 6, 12, mdav, trAp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbA_d_5_1_8_mdav_sv = dbTestGenericMP (trAX, trAY, teAX, teAY, 5, 1, 12, mdav, trAp_mdav, sklearn.svm.SVR, erOrDiff=False) dbA_d_5_2_8_mdav_sv = dbTestGenericMP (trAX, trAY, teAX, teAY, 5, 2, 12, mdav, trAp_mdav, sklearn.svm.SVR, erOrDiff=False) dbA_d_4_3_8_mdav_sv = dbTestGenericMP (trAX, trAY, teAX, teAY, 4, 3, 12, mdav, trAp_mdav, sklearn.svm.SVR, erOrDiff=False) dbA_d_4_4_8_mdav_sv = dbTestGenericMP (trAX, trAY, teAX, teAY, 4, 4, 12, mdav, trAp_mdav, sklearn.svm.SVR, erOrDiff=False) dbA_d_3_5_8_mdav_sv = dbTestGenericMP (trAX, trAY, teAX, teAY, 3, 5, 12, mdav, trAp_mdav, sklearn.svm.SVR, erOrDiff=False) dbA_d_2_6_8_mdav_sv = dbTestGenericMP (trAX, trAY, teAX, teAY, 2, 6, 12, mdav, trAp_mdav, sklearn.svm.SVR, erOrDiff=False) dbA_d_x_x_x_mdav_lr_20 = testTrAX(20) ## Mean of 20 executions dbA_d_5_1_8_mdav_lr20m = dbA_d_x_x_x_mdav_lr_20[0][0] dbA_d_5_2_8_mdav_lr20m = dbA_d_x_x_x_mdav_lr_20[0][1] dbA_d_4_3_8_mdav_lr20m = dbA_d_x_x_x_mdav_lr_20[0][2] dbA_d_4_4_8_mdav_lr20m = dbA_d_x_x_x_mdav_lr_20[0][3] dbA_d_3_5_8_mdav_lr20m = dbA_d_x_x_x_mdav_lr_20[0][4] dbA_d_2_6_8_mdav_lr20m = dbA_d_x_x_x_mdav_lr_20[0][5] ## Variance of 20 executions dbA_d_5_1_8_mdav_lr20v = dbA_d_x_x_x_mdav_lr_20[1][0] dbA_d_5_2_8_mdav_lr20v = dbA_d_x_x_x_mdav_lr_20[1][1] dbA_d_4_3_8_mdav_lr20v = dbA_d_x_x_x_mdav_lr_20[1][2] dbA_d_4_4_8_mdav_lr20v = dbA_d_x_x_x_mdav_lr_20[1][3] dbA_d_3_5_8_mdav_lr20v = dbA_d_x_x_x_mdav_lr_20[1][4] dbA_d_2_6_8_mdav_lr20v = dbA_d_x_x_x_mdav_lr_20[1][5] ## Mean of 20 executions dbA_d_5_1_8_mdav_lr20m = ([-0.017450129324031137, 1.1794268238868326, -0.5454272182055618, 0.037168363248488843, 0.5838240633153191, 0.32288076079397, -0.08601331715879183, -0.1030907799695413, -0.1755718081694681, 0.6155982250475432, 0.5331418881526829, 0.09761275758539512, 1.7708435859566094, 0.8052074493039626, 0.9734334718900456], [5.35, 5.4, 4.7, 3.6, 3.9, 3.9, 3.3, 3.7, 3.75, 3.25, 3.65, 4.0, 3.4, 3.45, 2.75]) dbA_d_5_2_8_mdav_lr20m = ([0.09005989871742201, 0.575882504028361, 0.11367535085494751, 0.31564551715742084, 0.5553986058396774, 1.4290765271150618, 1.6006399834394784, 0.29314786085832056, 0.24829517530578613, 0.3204112958880813, 0.3492259652641863, 0.1082565791980116, 1.1414035004792922, 0.22067504021481313, 1.151263668896408], [17.35, 9.2, 7.65, 6.1, 5.2, 4.5, 4.55, 4.45, 4.4, 3.75, 4.45, 3.6, 3.75, 4.1, 3.95]) dbA_d_4_3_8_mdav_lr20m = ([0.48821877713947825, -0.29987640992901987, 0.3052724708114198, -0.5371792843408272, 0.700675850400512, 0.828478764329563, 0.783166900847786, 0.12641802708345723, -0.38451369422559056, -0.7831899113231515, 0.20646815606649796, 0.7602480488331722, 0.8129038181187852, 1.0592525558829196, 2.2776896081690934], [33.25, 17.7, 10.3, 9.85, 7.95, 7.4, 6.4, 6.3, 5.4, 5.15, 5.15, 4.45, 5.25, 4.65, 4.25]) dbA_d_4_4_8_mdav_lr20m = ([0.6024281445214357, 0.574951734860052, 0.7505909867392319, 0.6776748003227311, 1.1956400731384007, 0.6855865421473595, 0.817111761101657, 0.9849356783767718, 1.138270467903554, 0.02930925187254161, 3.3092079784902695, 1.3800467225044244, 1.8759200463289687, 1.8017668278843544, 1.6212976802660548], [41.15, 21.05, 14.2, 10.2, 9.0, 8.45, 6.35, 6.85, 6.95, 5.45, 5.95, 4.65, 4.8, 4.7, 4.2]) dbA_d_3_5_8_mdav_lr20m = ([0.6947722591065002, 0.03455486368011975, 0.7636073166521484, 0.5148201664226988, 0.7631908062887263, -0.8238990758448637, 0.1386811189420115, 1.207431745413794, 1.9464575102357913, 0.6126992357444351, 0.7490500529385784, 0.5573248903490338, 1.6203291222026308, 1.4926160890256057, 0.8382702912193778], [49.9, 22.65, 15.95, 13.1, 10.45, 8.95, 7.95, 7.65, 6.8, 5.35, 5.55, 4.5, 5.45, 4.35, 4.45]) dbA_d_2_6_8_mdav_lr20m = ([0.032118895137729454, 0.3599094839259408, 0.5065768967268951, 0.18838996687697004, 0.9897479066325616, 0.1621360796897207, -0.08914618501131599, 0.6009914142727268, 1.01332611399787, 0.36668061865596824, 1.307133209270961, 0.01933147772562762, 0.7546512589446778, 1.2278640246438386, 1.9800733310938312], [30.6, 14.75, 10.7, 9.1, 8.4, 8.3, 6.35, 6.2, 6.2, 5.95, 5.7, 5.4, 5.25, 4.15, 4.35]) ## Variance of 20 executions dbA_d_5_1_8_mdav_lr20v = ([14.02148934344064, 28.915337947416727, 6.455641901394575, 48.59281819469307, 20.755502346829235, 57.55097113048666, 10.952718893900874, 80.19227340639405, 39.00846202588895, 53.78501465616653, 27.242827860746406, 44.62056128616832, 22.83465114649098, 123.91516201994504, 294.78504136653027], [20.750422437673134, 11.631689750692523, 13.651080332409968, 1.7037119113573416, 2.459944598337951, 9.254404432132961, 9.382936288088644, 23.548033240997242, 20.36859418282549, 10.5625, 7.649591412742382, 8.686980609418281, 18.084875346260393, 7.766488919667592, 3.9475415512465375]) dbA_d_5_2_8_mdav_lr20v = ([23.353215859469252, 25.723201261624943, 18.51227984531274, 7.311855709041166, 57.999155380753045, 22.645285281516, 7.923155357931737, 51.711452444268815, 52.96641546532129, 20.77753267330145, 94.61935146982171, 51.811683905438485, 101.99400737201215, 53.451529530582874, 177.1677829851126], [356.11662742382276, 40.6909695290859, 45.77590720221607, 25.42282548476455, 12.50925207756233, 17.28808864265928, 8.984217451523543, 10.290588642659282, 13.885429362880886, 15.06665512465374, 10.290588642659277, 7.722548476454293, 8.609591412742382, 35.87379501385041, 23.93269390581717]) dbA_d_4_3_8_mdav_lr20v = ([18.927733800800887, 32.04755661376791, 73.87782701178237, 29.053669131109892, 54.93670681959522, 198.81101530475777, 63.788225089377164, 43.06821075191683, 19.257052192762615, 71.656081779061, 54.14883434638141, 71.69723138307457, 80.71541249931386, 115.65753766763201, 1219.411310885462], [1043.4600069252078, 57.600110803324114, 72.87767313019388, 176.6800623268698, 10.290588642659282, 32.790692520775636, 8.93695290858726, 41.365207756232664, 27.040000000000003, 31.448483379501386, 16.232416897506923, 22.913857340720217, 9.889369806094184, 25.822444598337952, 17.617901662049864]) dbA_d_4_4_8_mdav_lr20v = ([6.327598812383891, 74.60284664872614, 92.50313390070353, 122.13773857139276, 85.81583014898345, 80.47265414767752, 42.16006592259446, 56.813652438341165, 132.3290557680437, 152.38414628614333, 327.425197783855, 106.19574326638377, 35.86776856392029, 487.2061066201501, 256.0374561436121], [453.3537465373962, 414.7653808864267, 101.26714681440441, 81.18958448753469, 28.819944598337948, 40.523275623268695, 6.529369806094185, 88.31053324099726, 21.917181440443212, 24.973691135734065, 19.060117728531864, 9.496128808864265, 9.063268698060941, 12.139722991689746, 5.1696398891966755]) dbA_d_3_5_8_mdav_lr20v = ([33.808734992124776, 42.54535984066688, 67.83772342788724, 38.593974923044726, 86.89934663178626, 69.71845556142455, 73.64091804441702, 21.581425113492855, 129.19938077809468, 52.13261562806742, 32.820815404325025, 39.405764025896254, 44.385210693181484, 256.2438160266733, 96.3559012956095], [912.04, 190.94876038781166, 150.32050554016624, 74.32254847645427, 44.643497229916875, 103.12936980609419, 118.63795706371191, 57.88006232686981, 21.063268698060966, 17.091696675900277, 5.596959833795015, 9.642659279778393, 26.03684903047092, 25.82244459833797, 22.913857340720234]) dbA_d_2_6_8_mdav_lr20v = ([31.024589577886786, 12.568669344293129, 141.59130158399262, 16.206983642725362, 93.58395193435578, 90.70294409350144, 53.78481924817325, 104.5355990113352, 100.96639201493913, 84.74061660058106, 109.63148031792687, 79.18518970095471, 20.165485577279796, 45.63860012554626, 335.3926976954324], [538.2400000000001, 216.78687673130193, 62.49318559556789, 181.256620498615, 88.55800554016623, 62.49318559556786, 17.973137119113584, 38.049418282548494, 109.91867036011074, 8.984217451523547, 48.41229916897505, 19.9197783933518, 8.0029432132964, 10.155962603878118, 24.763718836565108]) ## FILE PROCESSED: CONCRETE --------------------- trOp_mdav_00 = [3,4,5,6,8,10,12,15] trOp_mdav = [2,3,4,5,6,7,8,9,10,12,14,15,16,18,20] trOp_mond = [2,3,4,5,6,7,8,9,10,12,14,15,16,18,20] trOp_nAdd = [0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.2,1.4,1.5] trOp_nAdL = [0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.2,1.4,1.5] trOp_nmf = [2,3,4,5,6,7,8] trOp_svd = [2,3,4,5,6,7,8] trOp_pca = [1,2,3] ## Maximum parameter needs to be according to the dimension of the matrix, which is not 8 as it is divided in two trOp_mdavL = [2,4,6,8,10,15,20,25,30,40,50,60,70,100,200,300,400,500] dbO_d_5_1_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_e_5_1_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_mdavL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdavL, sklearn.linear_model.LinearRegression, erOrDiff=True) ## SMALLER k dbO_d_5_1_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_2_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_3_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_4_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_3_5_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_2_6_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_1_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_2_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_3_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_4_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_3_5_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_2_6_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_1_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=False) dbO_d_5_2_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_3_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_4_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=False) dbO_d_3_5_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=False) dbO_d_2_6_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=False) dbO_e_5_1_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_mdav_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_1_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_2_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_3_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_4_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_3_5_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_2_6_8_mdav_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_1_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_2_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_3_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_4_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_3_5_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_2_6_8_mdav_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_1_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=True) dbO_e_5_2_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_3_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_4_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=True) dbO_e_3_5_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=True) dbO_e_2_6_8_mdav_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mdav, trOp_mdav, sklearn.svm.SVR, erOrDiff=True) ### MONDRIAN EXPERIMENTS trOp_mondL = [2,4,6,8,10,15,20,25,30,40,50,60,70,100,200,300,400,500] dbO_d_5_1_8_mondL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mondL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_mondL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mondL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_mondL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mondL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_mondL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mondL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_mondL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mondL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_mondL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mondL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_2_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_3_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_4_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_3_5_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_2_6_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_1_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_2_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_3_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_4_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_3_5_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_2_6_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_1_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=False) dbO_d_5_2_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_3_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_4_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=False) dbO_d_3_5_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=False) dbO_d_2_6_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=False) dbO_e_5_1_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_mond_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_1_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_2_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_3_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_4_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_3_5_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_2_6_8_mond_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_1_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_2_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_3_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_4_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_3_5_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_2_6_8_mond_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_1_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=True) dbO_e_5_2_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_3_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_4_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=True) dbO_e_3_5_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=True) dbO_e_2_6_8_mond_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, mondrian, trOp_mond, sklearn.svm.SVR, erOrDiff=True) ## NOISE ADDITION dbO_d_5_1_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_2_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_3_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_4_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_3_5_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_2_6_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_1_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_2_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_3_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_4_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_3_5_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_2_6_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_1_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbO_d_5_2_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_3_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_4_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbO_d_3_5_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbO_d_2_6_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbO_e_5_1_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_nAdd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_1_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_2_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_3_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_4_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_3_5_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_2_6_8_nAdd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_1_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_2_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_3_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_4_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_3_5_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_2_6_8_nAdd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_1_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbO_e_5_2_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_3_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_4_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbO_e_3_5_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbO_e_2_6_8_nAdd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAddition, trOp_nAdd, sklearn.svm.SVR, erOrDiff=True) ## NOISE ADDITION Laplace dbO_d_5_1_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_2_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_3_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_4_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_3_5_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_2_6_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_1_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_2_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_3_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_4_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_3_5_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_2_6_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_1_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbO_d_5_2_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_3_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_4_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbO_d_3_5_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbO_d_2_6_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbO_e_5_1_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_nAdL_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_1_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_2_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_3_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_4_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_3_5_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_2_6_8_nAdL_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_1_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_2_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_3_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_4_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_3_5_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_2_6_8_nAdL_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_1_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbO_e_5_2_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_3_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_4_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbO_e_3_5_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbO_e_2_6_8_nAdL_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, noiseAdditionLaplace, trOp_nAdL, sklearn.svm.SVR, erOrDiff=True) ## NMF dbO_d_5_1_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_2_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_3_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_4_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_3_5_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_2_6_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_1_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_2_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_3_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_4_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_3_5_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_2_6_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_1_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=False) dbO_d_5_2_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_3_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_4_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=False) dbO_d_3_5_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=False) dbO_d_2_6_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=False) dbO_e_5_1_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_nmf_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_1_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_2_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_3_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_4_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_3_5_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_2_6_8_nmf_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_1_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_2_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_3_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_4_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_3_5_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_2_6_8_nmf_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_1_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=True) dbO_e_5_2_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_3_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_4_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=True) dbO_e_3_5_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=True) dbO_e_2_6_8_nmf_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, lambda x,k: maskingNMF(x,k,scale=True), trOp_nmf, sklearn.svm.SVR, erOrDiff=True) ## SVD dbO_d_5_1_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_2_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_3_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_4_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_3_5_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_2_6_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_1_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_2_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_3_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_4_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_3_5_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_2_6_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_1_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=False) dbO_d_5_2_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_3_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_4_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=False) dbO_d_3_5_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=False) dbO_d_2_6_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=False) dbO_e_5_1_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_svd_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_1_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_2_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_3_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_4_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_3_5_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_2_6_8_svd_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_1_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_2_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_3_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_4_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_3_5_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_2_6_8_svd_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_1_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=True) dbO_e_5_2_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_3_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_4_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=True) dbO_e_3_5_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=True) dbO_e_2_6_8_svd_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingSVD, trOp_svd, sklearn.svm.SVR, erOrDiff=True) ## PCA dbO_d_5_1_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_2_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_3_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_4_4_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_3_5_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_2_6_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbO_d_5_1_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_2_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_3_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_4_4_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_3_5_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_2_6_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbO_d_5_1_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_2_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_3_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_4_4_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_3_5_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_2_6_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbO_d_5_1_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=False) dbO_d_5_2_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_3_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=False) dbO_d_4_4_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=False) dbO_d_3_5_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=False) dbO_d_2_6_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=False) dbO_e_5_1_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_2_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_3_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_4_4_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_3_5_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_2_6_8_pca_lr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbO_e_5_1_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_2_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_3_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_4_4_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_3_5_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_2_6_8_pca_sg = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbO_e_5_1_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_2_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_3_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_4_4_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_3_5_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_2_6_8_pca_kr = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbO_e_5_1_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 1, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=True) dbO_e_5_2_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 5, 2, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_3_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 3, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=True) dbO_e_4_4_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 4, 4, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=True) dbO_e_3_5_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 3, 5, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=True) dbO_e_2_6_8_pca_sv = dbTestGenericMP (trOX, trOY, teOX, teOY, 2, 6, 8, maskingPCA, trOp_pca, sklearn.svm.SVR, erOrDiff=True) ## FILE PROCESSED: TARRAGONA --------------------- trTp_mdav = [2,3,4,5,6,7,8,9,10,12,14,15,16,18,20] trTp_mond = [2,3,4,5,6,7,8,9,10,12,14,15,16,18,20] trTp_nAdd = [0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.2,1.4,1.5] trTp_nAdL = [0.2,0.3,0.4,0.5,0.6,0.7,0.8,0.9,1.0,1.2,1.4,1.5] trTp_nmf = [2,3,4,5,6,7,8] trTp_svd = [2,3,4,5,6,7,8] trTp_pca = [1,2,3] ## Maximum parameter needs to be according to the dimension of the matrix, which is not 8 as it is divided in two dbT_d_5_1_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_2_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_3_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_4_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_3_5_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_2_6_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_1_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_2_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_3_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_4_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_3_5_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_2_6_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_1_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_2_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_3_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_4_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_3_5_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_2_6_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_1_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=False) dbT_d_5_2_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_3_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_4_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=False) dbT_d_3_5_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=False) dbT_d_2_6_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=False) dbT_e_5_1_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_mdav_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_2_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_3_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_4_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_3_5_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_2_6_12_mdav_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_1_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_2_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_3_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_4_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_3_5_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_2_6_12_mdav_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_1_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_2_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_3_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_4_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=True) dbT_e_3_5_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=True) dbT_e_2_6_12_mdav_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mdav, trTp_mdav, sklearn.svm.SVR, erOrDiff=True) ### MONDRIAN EXPERIMENTS dbT_d_5_1_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_2_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_3_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_4_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_3_5_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_2_6_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_1_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_2_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_3_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_4_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_3_5_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_2_6_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_1_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_2_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_3_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_4_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_3_5_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_2_6_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_1_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=False) dbT_d_5_2_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_3_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_4_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=False) dbT_d_3_5_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=False) dbT_d_2_6_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=False) dbT_e_5_1_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_mond_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_2_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_3_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_4_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_3_5_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_2_6_12_mond_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_1_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_2_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_3_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_4_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_3_5_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_2_6_12_mond_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_1_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_2_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_3_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_4_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=True) dbT_e_3_5_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=True) dbT_e_2_6_12_mond_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, mondrian, trTp_mond, sklearn.svm.SVR, erOrDiff=True) ## NOISE ADDITION dbT_d_5_1_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_2_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_3_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_4_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_3_5_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_2_6_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_1_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_2_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_3_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_4_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_3_5_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_2_6_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_1_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_2_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_3_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_4_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_3_5_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_2_6_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_1_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbT_d_5_2_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_3_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_4_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbT_d_3_5_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbT_d_2_6_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=False) dbT_e_5_1_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_2_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_3_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_4_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_3_5_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_2_6_12_nAdd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_1_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_2_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_3_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_4_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_3_5_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_2_6_12_nAdd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_1_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_2_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_3_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_4_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbT_e_3_5_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=True) dbT_e_2_6_12_nAdd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.svm.SVR, erOrDiff=True) ## NOISE ADDITION Laplace dbT_d_5_1_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_2_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_3_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_4_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_3_5_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_2_6_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_1_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_2_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_3_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_4_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_3_5_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_2_6_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_1_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_2_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_3_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_4_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_3_5_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_2_6_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_1_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbT_d_5_2_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_3_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_4_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbT_d_3_5_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbT_d_2_6_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=False) dbT_e_5_1_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdL_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_2_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_3_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_4_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_3_5_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_2_6_12_nAdL_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_1_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_2_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_3_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_4_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_3_5_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_2_6_12_nAdL_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_1_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_2_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_3_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_4_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbT_e_3_5_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=True) dbT_e_2_6_12_nAdL_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAdditionLaplace, trTp_nAdL, sklearn.svm.SVR, erOrDiff=True) ## NMF dbT_d_5_1_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_2_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_3_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_4_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_3_5_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_2_6_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_1_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_2_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_3_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_4_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_3_5_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_2_6_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_1_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_2_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_3_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_4_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_3_5_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_2_6_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_1_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=False) dbT_d_5_2_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_3_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_4_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=False) dbT_d_3_5_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=False) dbT_d_2_6_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=False) dbT_e_5_1_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nmf_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_2_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_3_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_4_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_3_5_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_2_6_12_nmf_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_1_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_2_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_3_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_4_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_3_5_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_2_6_12_nmf_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_1_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_2_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_3_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_4_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=True) dbT_e_3_5_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=True) dbT_e_2_6_12_nmf_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, lambda x,k: maskingNMF(x,k,scale=True), trTp_nmf, sklearn.svm.SVR, erOrDiff=True) ## SVD dbT_d_5_1_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_2_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_3_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_4_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_3_5_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_2_6_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_1_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_2_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_3_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_4_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_3_5_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_2_6_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_1_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_2_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_3_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_4_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_3_5_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_2_6_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_1_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=False) dbT_d_5_2_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_3_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_4_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=False) dbT_d_3_5_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=False) dbT_d_2_6_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=False) dbT_e_5_1_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_svd_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_2_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_3_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_4_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_3_5_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_2_6_12_svd_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_1_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_2_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_3_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_4_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_3_5_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_2_6_12_svd_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_1_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_2_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_3_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_4_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=True) dbT_e_3_5_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=True) dbT_e_2_6_12_svd_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingSVD, trTp_svd, sklearn.svm.SVR, erOrDiff=True) ## PCA dbT_d_5_1_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_2_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_3_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_4_4_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_3_5_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_2_6_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=False) dbT_d_5_1_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_2_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_3_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_4_4_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_3_5_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_2_6_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=False) dbT_d_5_1_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_2_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_3_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_4_4_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_3_5_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_2_6_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=False) dbT_d_5_1_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=False) dbT_d_5_2_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_3_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=False) dbT_d_4_4_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=False) dbT_d_3_5_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=False) dbT_d_2_6_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=False) dbT_e_5_1_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_pca_lr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_2_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_3_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_4_4_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_3_5_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_2_6_12_pca_sg = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.linear_model.SGDRegressor, erOrDiff=True) dbT_e_5_1_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_2_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_3_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_4_4_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_3_5_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_2_6_12_pca_kr = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.kernel_ridge.KernelRidge, erOrDiff=True) dbT_e_5_1_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_2_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_3_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=True) dbT_e_4_4_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=True) dbT_e_3_5_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=True) dbT_e_2_6_12_pca_sv = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, maskingPCA, trTp_pca, sklearn.svm.SVR, erOrDiff=True) dbT_e_5_1_12_nAdd_lr0 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr1 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr2 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr3 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr4 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr5 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr6 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr7 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr8 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lr9 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 1, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr0 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr1 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr2 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr3 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr4 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr5 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr6 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr7 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr8 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_2_12_nAdd_lr9 = dbTestGenericMP (trTX, trTY, teTX, teTY, 5, 2, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr0 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr1 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr2 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr3 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr4 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr5 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr6 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr7 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr8 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_3_12_nAdd_lr9 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 3, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr0 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr1 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr2 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr3 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr4 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr5 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr6 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr7 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr8 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_4_4_12_nAdd_lr9 = dbTestGenericMP (trTX, trTY, teTX, teTY, 4, 4, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr0 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr1 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr2 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr3 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr4 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr5 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr6 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr7 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr8 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_3_5_12_nAdd_lr9 = dbTestGenericMP (trTX, trTY, teTX, teTY, 3, 5, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr0 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr1 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr2 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr3 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr4 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr5 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr6 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr7 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr8 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_2_6_12_nAdd_lr9 = dbTestGenericMP (trTX, trTY, teTX, teTY, 2, 6, 12, noiseAddition, trTp_nAdd, sklearn.linear_model.LinearRegression, erOrDiff=True) dbT_e_5_1_12_nAdd_lrX10 = [list(map(lambda x:sum(x)/10, zip(dbT_e_5_1_12_nAdd_lr0[0], dbT_e_5_1_12_nAdd_lr1[0], dbT_e_5_1_12_nAdd_lr2[0], dbT_e_5_1_12_nAdd_lr3[0], dbT_e_5_1_12_nAdd_lr4[0], dbT_e_5_1_12_nAdd_lr5[0], dbT_e_5_1_12_nAdd_lr6[0], dbT_e_5_1_12_nAdd_lr7[0], dbT_e_5_1_12_nAdd_lr8[0], dbT_e_5_1_12_nAdd_lr9[0]))), list(map(lambda x:sum(x)/10, zip(dbT_e_5_1_12_nAdd_lr0[1], dbT_e_5_1_12_nAdd_lr1[1], dbT_e_5_1_12_nAdd_lr2[1], dbT_e_5_1_12_nAdd_lr3[1], dbT_e_5_1_12_nAdd_lr4[1], dbT_e_5_1_12_nAdd_lr5[1], dbT_e_5_1_12_nAdd_lr6[1], dbT_e_5_1_12_nAdd_lr7[1], dbT_e_5_1_12_nAdd_lr8[1], dbT_e_5_1_12_nAdd_lr9[1])))] dbT_e_2_6_12_nAdd_lrX10 = [list(map(lambda x:sum(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[0],dbT_e_2_6_12_nAdd_lr1[0],dbT_e_2_6_12_nAdd_lr2[0],dbT_e_2_6_12_nAdd_lr3[0],dbT_e_2_6_12_nAdd_lr4[0],dbT_e_2_6_12_nAdd_lr5[0],dbT_e_2_6_12_nAdd_lr6[0],dbT_e_2_6_12_nAdd_lr7[0],dbT_e_2_6_12_nAdd_lr8[0],dbT_e_2_6_12_nAdd_lr9[0]))), list(map(lambda x:sum(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[1],dbT_e_2_6_12_nAdd_lr1[1],dbT_e_2_6_12_nAdd_lr2[1],dbT_e_2_6_12_nAdd_lr3[1],dbT_e_2_6_12_nAdd_lr4[1],dbT_e_2_6_12_nAdd_lr5[1],dbT_e_2_6_12_nAdd_lr6[1],dbT_e_2_6_12_nAdd_lr7[1],dbT_e_2_6_12_nAdd_lr8[1],dbT_e_2_6_12_nAdd_lr9[1])))] dbT_e_5_2_12_nAdd_lrX10 = [list(map(lambda x:sum(x)/10, zip(dbT_e_5_2_12_nAdd_lr0[0],dbT_e_5_2_12_nAdd_lr1[0],dbT_e_5_2_12_nAdd_lr2[0],dbT_e_5_2_12_nAdd_lr3[0],dbT_e_5_2_12_nAdd_lr4[0],dbT_e_5_2_12_nAdd_lr5[0],dbT_e_5_2_12_nAdd_lr6[0],dbT_e_5_2_12_nAdd_lr7[0],dbT_e_5_2_12_nAdd_lr8[0],dbT_e_5_2_12_nAdd_lr9[0]))), list(map(lambda x:sum(x)/10, zip(dbT_e_5_2_12_nAdd_lr0[1],dbT_e_5_2_12_nAdd_lr1[1],dbT_e_5_2_12_nAdd_lr2[1],dbT_e_5_2_12_nAdd_lr3[1],dbT_e_5_2_12_nAdd_lr4[1],dbT_e_5_2_12_nAdd_lr5[1],dbT_e_5_2_12_nAdd_lr6[1],dbT_e_5_2_12_nAdd_lr7[1],dbT_e_5_2_12_nAdd_lr8[1],dbT_e_5_2_12_nAdd_lr9[1])))] dbT_e_4_3_12_nAdd_lrX10 = [list(map(lambda x:sum(x)/10, zip(dbT_e_4_3_12_nAdd_lr0[0],dbT_e_4_3_12_nAdd_lr1[0],dbT_e_4_3_12_nAdd_lr2[0],dbT_e_4_3_12_nAdd_lr3[0],dbT_e_4_3_12_nAdd_lr4[0],dbT_e_4_3_12_nAdd_lr5[0],dbT_e_4_3_12_nAdd_lr6[0],dbT_e_4_3_12_nAdd_lr7[0],dbT_e_4_3_12_nAdd_lr8[0],dbT_e_4_3_12_nAdd_lr9[0]))), list(map(lambda x:sum(x)/10, zip(dbT_e_4_3_12_nAdd_lr0[1],dbT_e_4_3_12_nAdd_lr1[1],dbT_e_4_3_12_nAdd_lr2[1],dbT_e_4_3_12_nAdd_lr3[1],dbT_e_4_3_12_nAdd_lr4[1],dbT_e_4_3_12_nAdd_lr5[1],dbT_e_4_3_12_nAdd_lr6[1],dbT_e_4_3_12_nAdd_lr7[1],dbT_e_4_3_12_nAdd_lr8[1],dbT_e_4_3_12_nAdd_lr9[1])))] dbT_e_4_4_12_nAdd_lrX10 = [list(map(lambda x:sum(x)/10, zip(dbT_e_4_4_12_nAdd_lr0[0],dbT_e_4_4_12_nAdd_lr1[0],dbT_e_4_4_12_nAdd_lr2[0],dbT_e_4_4_12_nAdd_lr3[0],dbT_e_4_4_12_nAdd_lr4[0],dbT_e_4_4_12_nAdd_lr5[0],dbT_e_4_4_12_nAdd_lr6[0],dbT_e_4_4_12_nAdd_lr7[0],dbT_e_4_4_12_nAdd_lr8[0],dbT_e_4_4_12_nAdd_lr9[0]))), list(map(lambda x:sum(x)/10, zip(dbT_e_4_4_12_nAdd_lr0[1],dbT_e_4_4_12_nAdd_lr1[1],dbT_e_4_4_12_nAdd_lr2[1],dbT_e_4_4_12_nAdd_lr3[1],dbT_e_4_4_12_nAdd_lr4[1],dbT_e_4_4_12_nAdd_lr5[1],dbT_e_4_4_12_nAdd_lr6[1],dbT_e_4_4_12_nAdd_lr7[1],dbT_e_4_4_12_nAdd_lr8[1],dbT_e_4_4_12_nAdd_lr9[1])))] dbT_e_3_5_12_nAdd_lrX10 = [list(map(lambda x:sum(x)/10, zip(dbT_e_3_5_12_nAdd_lr0[0],dbT_e_3_5_12_nAdd_lr1[0],dbT_e_3_5_12_nAdd_lr2[0],dbT_e_3_5_12_nAdd_lr3[0],dbT_e_3_5_12_nAdd_lr4[0],dbT_e_3_5_12_nAdd_lr5[0],dbT_e_3_5_12_nAdd_lr6[0],dbT_e_3_5_12_nAdd_lr7[0],dbT_e_3_5_12_nAdd_lr8[0],dbT_e_3_5_12_nAdd_lr9[0]))), list(map(lambda x:sum(x)/10, zip(dbT_e_3_5_12_nAdd_lr0[1],dbT_e_3_5_12_nAdd_lr1[1],dbT_e_3_5_12_nAdd_lr2[1],dbT_e_3_5_12_nAdd_lr3[1],dbT_e_3_5_12_nAdd_lr4[1],dbT_e_3_5_12_nAdd_lr5[1],dbT_e_3_5_12_nAdd_lr6[1],dbT_e_3_5_12_nAdd_lr7[1],dbT_e_3_5_12_nAdd_lr8[1],dbT_e_3_5_12_nAdd_lr9[1])))] dbT_e_2_6_12_nAdd_lrX10 = [list(map(lambda x:sum(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[0],dbT_e_2_6_12_nAdd_lr1[0],dbT_e_2_6_12_nAdd_lr2[0],dbT_e_2_6_12_nAdd_lr3[0],dbT_e_2_6_12_nAdd_lr4[0],dbT_e_2_6_12_nAdd_lr5[0],dbT_e_2_6_12_nAdd_lr6[0],dbT_e_2_6_12_nAdd_lr7[0],dbT_e_2_6_12_nAdd_lr8[0],dbT_e_2_6_12_nAdd_lr9[0]))), list(map(lambda x:sum(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[1],dbT_e_2_6_12_nAdd_lr1[1],dbT_e_2_6_12_nAdd_lr2[1],dbT_e_2_6_12_nAdd_lr3[1],dbT_e_2_6_12_nAdd_lr4[1],dbT_e_2_6_12_nAdd_lr5[1],dbT_e_2_6_12_nAdd_lr6[1],dbT_e_2_6_12_nAdd_lr7[1],dbT_e_2_6_12_nAdd_lr8[1],dbT_e_2_6_12_nAdd_lr9[1])))] ## Standard deviation of 10 executions dbT_e_5_1_12_nAdd_sd_lrX10 = [list(map(lambda x:np.std(x)/10, zip(dbT_e_5_1_12_nAdd_lr0[0], dbT_e_5_1_12_nAdd_lr1[0], dbT_e_5_1_12_nAdd_lr2[0], dbT_e_5_1_12_nAdd_lr3[0], dbT_e_5_1_12_nAdd_lr4[0], dbT_e_5_1_12_nAdd_lr5[0], dbT_e_5_1_12_nAdd_lr6[0], dbT_e_5_1_12_nAdd_lr7[0], dbT_e_5_1_12_nAdd_lr8[0], dbT_e_5_1_12_nAdd_lr9[0]))), list(map(lambda x:np.std(x)/10, zip(dbT_e_5_1_12_nAdd_lr0[1], dbT_e_5_1_12_nAdd_lr1[1], dbT_e_5_1_12_nAdd_lr2[1], dbT_e_5_1_12_nAdd_lr3[1], dbT_e_5_1_12_nAdd_lr4[1], dbT_e_5_1_12_nAdd_lr5[1], dbT_e_5_1_12_nAdd_lr6[1], dbT_e_5_1_12_nAdd_lr7[1], dbT_e_5_1_12_nAdd_lr8[1], dbT_e_5_1_12_nAdd_lr9[1])))] dbT_e_2_6_12_nAdd_sd_lrX10 = [list(map(lambda x:np.std(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[0],dbT_e_2_6_12_nAdd_lr1[0],dbT_e_2_6_12_nAdd_lr2[0],dbT_e_2_6_12_nAdd_lr3[0],dbT_e_2_6_12_nAdd_lr4[0],dbT_e_2_6_12_nAdd_lr5[0],dbT_e_2_6_12_nAdd_lr6[0],dbT_e_2_6_12_nAdd_lr7[0],dbT_e_2_6_12_nAdd_lr8[0],dbT_e_2_6_12_nAdd_lr9[0]))), list(map(lambda x:np.std(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[1],dbT_e_2_6_12_nAdd_lr1[1],dbT_e_2_6_12_nAdd_lr2[1],dbT_e_2_6_12_nAdd_lr3[1],dbT_e_2_6_12_nAdd_lr4[1],dbT_e_2_6_12_nAdd_lr5[1],dbT_e_2_6_12_nAdd_lr6[1],dbT_e_2_6_12_nAdd_lr7[1],dbT_e_2_6_12_nAdd_lr8[1],dbT_e_2_6_12_nAdd_lr9[1])))] dbT_e_5_2_12_nAdd_sd_lrX10 = [list(map(lambda x:np.std(x)/10, zip(dbT_e_5_2_12_nAdd_lr0[0],dbT_e_5_2_12_nAdd_lr1[0],dbT_e_5_2_12_nAdd_lr2[0],dbT_e_5_2_12_nAdd_lr3[0],dbT_e_5_2_12_nAdd_lr4[0],dbT_e_5_2_12_nAdd_lr5[0],dbT_e_5_2_12_nAdd_lr6[0],dbT_e_5_2_12_nAdd_lr7[0],dbT_e_5_2_12_nAdd_lr8[0],dbT_e_5_2_12_nAdd_lr9[0]))), list(map(lambda x:np.std(x)/10, zip(dbT_e_5_2_12_nAdd_lr0[1],dbT_e_5_2_12_nAdd_lr1[1],dbT_e_5_2_12_nAdd_lr2[1],dbT_e_5_2_12_nAdd_lr3[1],dbT_e_5_2_12_nAdd_lr4[1],dbT_e_5_2_12_nAdd_lr5[1],dbT_e_5_2_12_nAdd_lr6[1],dbT_e_5_2_12_nAdd_lr7[1],dbT_e_5_2_12_nAdd_lr8[1],dbT_e_5_2_12_nAdd_lr9[1])))] dbT_e_4_3_12_nAdd_sd_lrX10 = [list(map(lambda x:np.std(x)/10, zip(dbT_e_4_3_12_nAdd_lr0[0],dbT_e_4_3_12_nAdd_lr1[0],dbT_e_4_3_12_nAdd_lr2[0],dbT_e_4_3_12_nAdd_lr3[0],dbT_e_4_3_12_nAdd_lr4[0],dbT_e_4_3_12_nAdd_lr5[0],dbT_e_4_3_12_nAdd_lr6[0],dbT_e_4_3_12_nAdd_lr7[0],dbT_e_4_3_12_nAdd_lr8[0],dbT_e_4_3_12_nAdd_lr9[0]))), list(map(lambda x:np.std(x)/10, zip(dbT_e_4_3_12_nAdd_lr0[1],dbT_e_4_3_12_nAdd_lr1[1],dbT_e_4_3_12_nAdd_lr2[1],dbT_e_4_3_12_nAdd_lr3[1],dbT_e_4_3_12_nAdd_lr4[1],dbT_e_4_3_12_nAdd_lr5[1],dbT_e_4_3_12_nAdd_lr6[1],dbT_e_4_3_12_nAdd_lr7[1],dbT_e_4_3_12_nAdd_lr8[1],dbT_e_4_3_12_nAdd_lr9[1])))] dbT_e_4_4_12_nAdd_sd_lrX10 = [list(map(lambda x:np.std(x)/10, zip(dbT_e_4_4_12_nAdd_lr0[0],dbT_e_4_4_12_nAdd_lr1[0],dbT_e_4_4_12_nAdd_lr2[0],dbT_e_4_4_12_nAdd_lr3[0],dbT_e_4_4_12_nAdd_lr4[0],dbT_e_4_4_12_nAdd_lr5[0],dbT_e_4_4_12_nAdd_lr6[0],dbT_e_4_4_12_nAdd_lr7[0],dbT_e_4_4_12_nAdd_lr8[0],dbT_e_4_4_12_nAdd_lr9[0]))), list(map(lambda x:np.std(x)/10, zip(dbT_e_4_4_12_nAdd_lr0[1],dbT_e_4_4_12_nAdd_lr1[1],dbT_e_4_4_12_nAdd_lr2[1],dbT_e_4_4_12_nAdd_lr3[1],dbT_e_4_4_12_nAdd_lr4[1],dbT_e_4_4_12_nAdd_lr5[1],dbT_e_4_4_12_nAdd_lr6[1],dbT_e_4_4_12_nAdd_lr7[1],dbT_e_4_4_12_nAdd_lr8[1],dbT_e_4_4_12_nAdd_lr9[1])))] dbT_e_3_5_12_nAdd_sd_lrX10 = [list(map(lambda x:np.std(x)/10, zip(dbT_e_3_5_12_nAdd_lr0[0],dbT_e_3_5_12_nAdd_lr1[0],dbT_e_3_5_12_nAdd_lr2[0],dbT_e_3_5_12_nAdd_lr3[0],dbT_e_3_5_12_nAdd_lr4[0],dbT_e_3_5_12_nAdd_lr5[0],dbT_e_3_5_12_nAdd_lr6[0],dbT_e_3_5_12_nAdd_lr7[0],dbT_e_3_5_12_nAdd_lr8[0],dbT_e_3_5_12_nAdd_lr9[0]))), list(map(lambda x:np.std(x)/10, zip(dbT_e_3_5_12_nAdd_lr0[1],dbT_e_3_5_12_nAdd_lr1[1],dbT_e_3_5_12_nAdd_lr2[1],dbT_e_3_5_12_nAdd_lr3[1],dbT_e_3_5_12_nAdd_lr4[1],dbT_e_3_5_12_nAdd_lr5[1],dbT_e_3_5_12_nAdd_lr6[1],dbT_e_3_5_12_nAdd_lr7[1],dbT_e_3_5_12_nAdd_lr8[1],dbT_e_3_5_12_nAdd_lr9[1])))] dbT_e_2_6_12_nAdd_sd_lrX10 = [list(map(lambda x:np.std(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[0],dbT_e_2_6_12_nAdd_lr1[0],dbT_e_2_6_12_nAdd_lr2[0],dbT_e_2_6_12_nAdd_lr3[0],dbT_e_2_6_12_nAdd_lr4[0],dbT_e_2_6_12_nAdd_lr5[0],dbT_e_2_6_12_nAdd_lr6[0],dbT_e_2_6_12_nAdd_lr7[0],dbT_e_2_6_12_nAdd_lr8[0],dbT_e_2_6_12_nAdd_lr9[0]))), list(map(lambda x:np.std(x)/10, zip(dbT_e_2_6_12_nAdd_lr0[1],dbT_e_2_6_12_nAdd_lr1[1],dbT_e_2_6_12_nAdd_lr2[1],dbT_e_2_6_12_nAdd_lr3[1],dbT_e_2_6_12_nAdd_lr4[1],dbT_e_2_6_12_nAdd_lr5[1],dbT_e_2_6_12_nAdd_lr6[1],dbT_e_2_6_12_nAdd_lr7[1],dbT_e_2_6_12_nAdd_lr8[1],dbT_e_2_6_12_nAdd_lr9[1])))] # DXErrorMDAV_LR = testSdcIL_mlRE (trDX, trDY, teDX, teDY,sklearn.linear_model.LinearRegression, mdav, lp_mdav) # DXErrorMDAV_SG = testSdcIL_mlRE (trDX, trDY, teDX, teDY,sklearn.linear_model.SGDRegressor, mdav, lp_mdav) # DXErrorMDAV_KR = testSdcIL_mlRE (trDX, trDY, teDX, teDY,sklearn.kernel_ridge.KernelRidge, mdav, lp_mdav) # DXErrorMDAV_SV = testSdcIL_mlRE (trDX, trDY, teDX, teDY,sklearn.svm.SVR, mdav, lp_mdav) ## CASC dbA_d_5_1_8_mdav_lr = ([0.11577726329039706, 0.1743469490547227, -0.22341988894811493, 3.887915973121551, 0.7497089862137045, 0.3584420082713109, 1.7197341787746723, -0.5179510719281666, 0.003280035319505714, -0.1676072865730589, 0.5463930316084316, -0.525784930843372, 0.2278388311081585, -0.5118252211711933, -0.6147081101719323], [7, 6, 4, 5, 5, 0, 0, 6, 3, 5, 5, 4, 3, 2, 3]) dbA_d_5_2_8_mdav_lr = ([0.25122617353372334, -0.36003009610493564, 1.2804294316887876, -0.02118754399481304, 0.9360477310621604, 1.4895142820342926, 1.0347729692171583, 1.377122271612734, 0.3675654510864774, -1.001351793688002, 0.7157251816187227, 2.8400866154606206, 0.7419037442140848, -0.1756209571819909, -1.0116997900560136], [25, 14, 12, 4, 4, 3, 3, 3, 3, 4, 3, 3, 3, 2, 2]) dbA_d_4_3_8_mdav_lr = ([0.8157376972044403, 0.2840587736909015, 0.5932220084015967, 0.25285750259024553, 0.1783337286805704, 0.0881335735640505, -0.615595494177569, -0.5960361571513317, -0.36338997057748657, 2.324816199291547, 1.0701655647662278, -0.2593634904869191, -0.34266308676706103, -0.7001485717311766, -1.054942954879607], [34, 15, 10, 7, 7, 5, 8, 3, 4, 6, 5, 4, 4, 4, 4]) dbA_d_4_4_8_mdav_lr = ([0.3668491247989323, -1.4521724433761847, 0.544334123396311, 1.6945226563955202, -0.5729067235632783, 0.31271476732621295, 0.3600100857584607, 0.03823769072482719, 1.6436193014761216, 0.2943175563607383, -1.5414746611867827, -0.6119833081984893, 0.7593378189348527, -1.0389137711931085, 1.2096155574892578], [34, 14, 13, 16, 9, 9, 7, 3, 8, 5, 4, 2, 5, 7, 6]) dbA_d_3_5_8_mdav_lr = ([1.4313756137846099, -0.9573237560784946, -0.05706380603811567, 0.9072846297557362, 0.47007102477010676, 0.9866812432355232, 1.0537847335750143, -0.675247115420575, -0.2298872881948455, 0.2971646273346664, 2.5035568620830873, 0.3121216709554915, 1.9537743705329262, -1.0951756135024198, 1.2698804671018138], [42, 28, 15, 13, 8, 6, 11, 5, 12, 4, 5, 3, 6, 9, 2]) dbA_d_2_6_8_mdav_lr = ([-0.032223047804052385, 1.0801725998274492, 1.9530108673857285, 0.19031386802066663, -0.2356571811447452, 1.2775975848627468, -0.08649851260719288, 1.6032312919385276, 1.1605052348459708, 0.9706088418118384, 1.6886625018968289, 2.387653361934724, 0.42040849176146367, -1.2707638642942243, 1.044838231302549], [29, 14, 12, 9, 4, 4, 5, 7, 5, 7, 6, 4, 4, 5, 0]) dbA_d_5_1_8_mdav_sv = ([0.5204635045779469, 0.15310522756840328, 0.11905035172480893, 0.11058714708201478, 0.1403757762193436, 0.13847019471063504, 0.3670361772171873, 0.12506907861256877, 0.11441924787732205, 0.5445848497017778, 0.3026592078017529, 0.18374482802573766, 0.14210294818849434, 0.05386383018367269, 0.6183773234931778], [7, 6, 4, 5, 5, 0, 0, 6, 3, 5, 5, 4, 3, 2, 3]) dbA_d_5_2_8_mdav_sv = ([0.22802224969336748, 0.11098643447894574, 0.069133282230041, 0.03839211131662523, 0.23821489695478704, 0.4005817955010116, 0.0001306216554439743, 0.015829201513497537, 0.2119879764641155, 0.4755253505065866, 0.21115299798611886, 0.40539310747612944, 0.2614171946947863, 0.2801265596981466, 0.1885933884195765], [25, 14, 12, 4, 4, 3, 3, 3, 3, 4, 3, 3, 3, 2, 2]) dbA_d_4_3_8_mdav_sv = ([-0.028793216258463872, 0.06758947848311436, 0.07782634303794111, -0.10409363048711384, 0.016271833733071617, 0.12774124107909302, 0.2933457331612317, 0.13152047026323999, 0.61784422547953, 0.22311633386357244, 0.26526386680052383, -0.012977792920992215, 0.5011418301651247, -0.18761981975762865, -0.5801745815726917], [34, 15, 10, 7, 7, 5, 8, 3, 4, 6, 5, 4, 4, 4, 4]) dbA_d_4_4_8_mdav_sv = ([0.05315048444231252, 0.20515466961523998, -0.10366946001659016, 0.184035053755224, 0.29058101546365833, 0.15311821623913602, 0.48734125893088276, -0.15428459583108634, 0.2807426188151112, 0.2978355270670363, 0.0016928378800002974, 0.3314378445584225, 0.3638718478521241, -0.23903483606977716, -0.4301334201213649], [34, 14, 13, 16, 9, 9, 7, 3, 8, 5, 4, 2, 5, 7, 6]) dbA_d_3_5_8_mdav_sv = ([0.36723638980856776, -0.09691476526836595, -0.07510475546291673, 0.08751537377247587, 0.046367891196723576, 0.20669344961038405, 0.01644333536933118, -0.01651128492699172, 0.2358038390893853, 0.17572491138139412, 0.08253834358720269, 0.4354444923558276, -0.09800357894164335, -0.07270742616969983, -0.30776687004299674], [42, 28, 15, 13, 8, 6, 11, 5, 12, 4, 5, 3, 6, 9, 2]) dbA_d_2_6_8_mdav_sv = ([0.052834657196854096, 0.06684838668866178, 0.004810265777450695, 0.2147986086790752, 0.19271237010934783, -0.02473530858878803, 0.3449310444339062, 0.020346400610378623, 0.2558097905446175, 0.8076446097149983, 0.00638384438320827, 0.07856522636711816, 0.21649263793779028, 0.5295134697935282, -0.2996200237737412], [29, 14, 12, 9, 4, 4, 5, 7, 5, 7, 6, 4, 4, 5, 0]) ## CONCRETE DATABASE ## RESULTS ADDITIONAL PARAMETERS dbO_d_5_1_8_mdavL_lr = ([0.0867721651326816, 0.1432561512787004, 0.26144411691255254, 0.12201155668230668, 0.1550452241641338, 0.34757897976283303, 0.28056910613568475, 0.35401493613353874, 0.38745828307381847, 0.314322324426795, 0.5209445942019699, 0.36234281070046426, 0.6564676954602289, 9787859893.51604, 80361662219613.3, 4866671.879623058, 188231804298084.0, 4866671.879623058], [42, 20, 8, 6, 7, 6, 3, 2, 1, 3, 3, 3, 3, 2, 2, 1, 0, 1]) dbO_d_5_2_8_mdavL_lr = ([0.003505189949224108, 0.09646928658992282, 0.06790992987243305, 0.19061837900689693, 0.30340716169767656, 0.36328220632292707, 0.3383388805511456, 0.1760670737115183, 0.21949914122107061, 0.3239729327889316, 0.31932728793419995, 2.1771764292745184, 3.3455842783815513, 2229792678.9467154, 44322400247667.08, 173417.19195895104, 8344785667.015461, 173417.19195895104], [102, 47, 28, 19, 14, 9, 8, 4, 4, 4, 2, 3, 2, 2, 2, 1, 0, 1]) dbO_d_4_3_8_mdavL_lr = ([0.02089922872482708, 0.16429872000835366, 0.11544499100362882, 0.3107675279505533, 0.3748350294406262, 0.29395464324875165, 0.49101941085408796, 0.41860153275594336, 0.7054018450422854, 0.46498761169855474, 2.775683763813299, 22.68980742357611, 86127641328.30617, 19332455077178.0, 27124595655217.97, 72172661673689.89, 80794089892627.06, 173417.19195895104], [85, 13, 11, 9, 8, 3, 2, 1, 5, 2, 0, 2, 2, 1, 1, 2, 1, 1]) dbO_d_4_4_8_mdavL_lr = ([0.029461171706474, 0.16092244099674358, 0.20474554309020232, 0.24651738473829043, 0.4486003363639437, 0.3262916881054452, 0.722826562393529, 0.7148126855519368, 0.8149166341318297, 1.177198057791726, 13284585327.447634, 973709720047.7487, 12455500736.288004, 69068912999613.4, 173400086649365.03, 41717178039530.3, 34814677895055.86, 4.63790108379812e+26], [133, 12, 6, 5, 7, 4, 1, 1, 2, 2, 3, 0, 1, 0, 3, 2, 1, 1]) dbO_d_3_5_8_mdavL_lr = ([0.00030361803575140733, 0.05071740496628563, 0.04990137575768194, 0.08900068939677197, 0.06471895372528513, 0.13984195976421865, 0.8765218235850734, 1.2968258278281617, 0.7823190149030141, 1.1389392829541758, 9.364796201693206, 8009938849.897638, 27049053723.700924, 12079792307472.604, 173400086649365.03, 41717178039530.3, 12937685628085.516, 4.63790108379812e+26], [183, 38, 21, 10, 9, 6, 2, 3, 2, 1, 2, 0, 1, 3, 3, 2, 1, 1]) dbO_d_2_6_8_mdavL_lr = ([-0.015965407204480364, 0.01777379631906084, 0.04748494403744785, 0.1636280965264879, 0.17925079467787863, 0.24536643426365123, 0.4389132298776224, 0.371028740892275, 0.30173054249484466, 1.274985983386348, 1.6763323263814978, 1005664851644.3779, 46449647041.81839, 56293603309603.805, 81847915424361.22, 41717178039530.3, 34814677895055.86, 4.63790108379812e+26], [197, 59, 25, 16, 15, 6, 5, 4, 3, 3, 4, 5, 2, 3, 2, 2, 1, 1]) dbO_e_5_1_8_mdavL_lr = ([0.764387704179792, 0.8511598693124736, 0.9076438554584924, 1.0258318210923445, 0.8863992608620986, 0.9194329283439258, 1.111966683942625, 1.0449568103154767, 1.1184026403133307, 1.1518459872536104, 1.078710028606587, 1.2853322983817619, 1.1267305148802562, 1.4208553996400208, 9787859894.280428, 80361662219614.06, 4866672.644010763, 188231804298084.75, 4866672.644010763], [824, 42, 20, 8, 6, 7, 6, 3, 2, 1, 3, 3, 3, 3, 2, 2, 1, 0, 1]) dbO_e_5_2_8_mdavL_lr = ([0.764387704179792, 0.7678928941290161, 0.8608569907697148, 0.832297634052225, 0.9550060831866889, 1.0677948658774685, 1.127669910502719, 1.1027265847309375, 0.9404547778913103, 0.9838868454008626, 1.0883606369687235, 1.083714992113992, 2.9415641334543103, 4.109971982561343, 2229792679.711103, 44322400247667.84, 173417.9563466552, 8344785667.779849, 173417.9563466552], [824, 102, 47, 28, 19, 14, 9, 8, 4, 4, 4, 2, 3, 2, 2, 2, 1, 0, 1]) dbO_e_4_3_8_mdavL_lr = ([0.764387704179792, 0.785286932904619, 0.9286864241881456, 0.8798326951834208, 1.0751552321303453, 1.1392227336204181, 1.0583423474285436, 1.25540711503388, 1.1829892369357353, 1.4697895492220774, 1.2293753158783467, 3.540071467993091, 23.454195127755902, 86127641329.07056, 19332455077178.766, 27124595655218.734, 72172661673690.66, 80794089892627.83, 173417.9563466552], [824, 85, 13, 11, 9, 8, 3, 2, 1, 5, 2, 0, 2, 2, 1, 1, 2, 1, 1]) dbO_e_4_4_8_mdavL_lr = ([0.764387704179792, 0.793848875886266, 0.9253101451765355, 0.9691332472699943, 1.0109050889180824, 1.2129880405437357, 1.0906793922852371, 1.487214266573321, 1.4792003897317287, 1.5793043383116216, 1.941585761971518, 13284585328.21202, 973709720048.5131, 12455500737.052391, 69068912999614.164, 173400086649365.78, 41717178039531.06, 34814677895056.625, 4.63790108379812e+26], [824, 133, 12, 6, 5, 7, 4, 1, 1, 2, 2, 3, 0, 1, 0, 3, 2, 1, 1]) dbO_e_3_5_8_mdavL_lr = ([0.764387704179792, 0.7646913222155434, 0.8151051091460776, 0.8142890799374739, 0.8533883935765639, 0.8291066579050771, 0.9042296639440106, 1.6409095277648653, 2.0612135320079537, 1.546706719082806, 1.9033269871339678, 10.129183905872999, 8009938850.662026, 27049053724.465313, 12079792307473.367, 173400086649365.78, 41717178039531.06, 12937685628086.28, 4.63790108379812e+26], [824, 183, 38, 21, 10, 9, 6, 2, 3, 2, 1, 2, 0, 1, 3, 3, 2, 1, 1]) dbO_e_2_6_8_mdavL_lr = ([0.764387704179792, 0.7484222969753116, 0.7821615004988528, 0.8118726482172398, 0.9280158007062799, 0.9436384988576706, 1.0097541384434432, 1.2033009340574143, 1.135416445072067, 1.0661182466746366, 2.03937368756614, 2.4407200305612897, 1005664851645.1423, 46449647042.58278, 56293603309604.57, 81847915424361.98, 41717178039531.06, 34814677895056.625, 4.63790108379812e+26], [824, 197, 59, 25, 16, 15, 6, 5, 4, 3, 3, 4, 5, 2, 3, 2, 2, 1, 1]) dbO_d_5_1_8_mondL_lr = ([0.0884690256379792, 0.22951313120444328, 0.22951313120444328, 0.2971229389297958, 0.2971229389297958, 0.22143890388675458, 0.22143890388675458, 0.22143890388675458, 2.4963242367705885, 2.4963242367705885, 2.4963242367705885, 13380929141.434372, 13380929141.434372, 13380929141.434372, 1022066.1422709067, 27465490152425.168, 27465490152425.168, 4866671.879623058], [26, 5, 5, 6, 6, 3, 3, 3, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]) dbO_d_5_2_8_mondL_lr = ([0.09551284311435582, 0.11355426205893715, 0.11355426205893715, 0.326192852757373, 0.326192852757373, 0.376695599405485, 0.376695599405485, 0.376695599405485, 35.130268984726015, 35.130268984726015, 35.130268984726015, 17712589839.746395, 17712589839.746395, 17712589839.746395, 30841658692068.574, 33228957866900.293, 33228957866900.293, 173417.19195895104], [54, 25, 25, 10, 10, 5, 5, 5, 2, 2, 2, 1, 1, 1, 2, 1, 1, 1]) dbO_d_4_3_8_mondL_lr = ([0.15441184658504714, 0.1651686970106695, 0.1651686970106695, 0.5295451970152893, 0.5295451970152893, 0.26704385216423776, 0.26704385216423776, 0.26704385216423776, 0.45920986252102103, 0.45920986252102103, 0.45920986252102103, 8627479562990.909, 8627479562990.909, 8627479562990.909, 43562448416975.46, 33228957866900.293, 33228957866900.293, 173417.19195895104], [13, 2, 2, 3, 3, 5, 5, 5, 2, 2, 2, 1, 1, 1, 1, 1, 1, 1]) dbO_d_4_4_8_mondL_lr = ([0.1186684360557636, 0.20240729073310249, 0.20240729073310249, 0.40905724440429236, 0.40905724440429236, 0.8944695185851268, 0.8944695185851268, 0.8944695185851268, 0.8321616985258857, 0.8321616985258857, 0.8321616985258857, 170155922645750.75, 170155922645750.75, 170155922645750.75, 20461741714352.242, 30121358092260.176, 30121358092260.176, 4.63790108379812e+26], [20, 9, 9, 3, 3, 5, 5, 5, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1]) dbO_d_3_5_8_mondL_lr = ([0.06119121407071304, 0.10950490959748527, 0.10950490959748527, 0.3681975937973858, 0.3681975937973858, 0.35084776270128915, 0.35084776270128915, 0.35084776270128915, 0.9108239768889379, 0.9108239768889379, 0.9108239768889379, 93605609622404.66, 93605609622404.66, 93605609622404.66, 20461741714352.242, 30121358092260.176, 30121358092260.176, 4.63790108379812e+26], [40, 11, 11, 4, 4, 4, 4, 4, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1]) dbO_d_2_6_8_mondL_lr = ([0.070097788745624, 0.12050989263767642, 0.12050989263767642, 0.19120008149520284, 0.19120008149520284, 0.6741589063427373, 0.6741589063427373, 0.6741589063427373, 1.6967874434186516, 1.6967874434186516, 1.6967874434186516, 93605609622404.66, 93605609622404.66, 93605609622404.66, 20461741714352.242, 30121358092260.176, 30121358092260.176, 4.63790108379812e+26], [46, 11, 11, 3, 3, 1, 1, 1, 2, 2, 2, 0, 0, 0, 1, 1, 1, 1]) ## RESULTS: MDAV dbO_d_5_1_8_mdav_lr = ([0.10836795092420082, 0.13834436483835932, 0.17021415478268775, 0.24953328632652838, 0.32100832069301055, 0.12220135857217984, 0.22056156102005497, 0.27721675054785877, 0.27085287916995593, 0.18912798137407627, 0.31536913199119265, 0.1474812928188972, 0.1628620454090638, 0.3361692636476601, 0.28761355509920106], [56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_d_5_2_8_mdav_lr = ([0.032182056401730996, 0.041852213526065496, 0.09747817916340062, 0.11884339694605106, 0.09834954855649058, 0.13885843107213602, 0.1395979915086658, 0.0950556321619811, 0.156829614408192, 0.16918133617612363, 0.2892742885146128, 0.21090009360032735, 0.2233114657931129, 0.03492505432309623, 0.19669459810686896], [114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_d_4_3_8_mdav_lr = ([0.05996853031352167, 0.13436793250768564, 0.24608505296044547, 0.2709024242802899, 0.1899872534342003, 0.23149083729247089, 0.16108555962827142, 0.3496093094481627, 0.3100421632567032, 0.20553686374139823, 0.1935113866597391, 0.42315176781365005, 0.38089715398218305, 0.16541579956102592, 0.41349713461193716], [92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_d_4_4_8_mdav_lr = ([0.08806790400831843, 0.11743388959274137, 0.12580557462369446, 0.1500671167666645, 0.19516329632029805, 0.2539881173748295, 0.3348518214049594, 0.3587284998485163, 0.3910991051896211, 0.1810339546330051, 0.43800632289438646, 0.43367288264690584, 0.604530276526313, 0.640862343002955, 0.4554935966379763], [130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_d_3_5_8_mdav_lr = ([0.016425648684842975, 0.07893396774822936, 0.1321498540927154, 0.08000898576663495, 0.12108717052325235, 0.10689259173169607, 0.17311150998280278, 0.14973218613880346, 0.13776955306981276, 0.1829188551108466, 0.2988466852783582, 0.12104453624198486, 0.17601213589546838, 0.35941113573557315, 0.35613375454329055], [185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_d_2_6_8_mdav_lr = ([0.0017611538189059583, 0.029824791397084716, 0.039942329578104396, 0.072356505209478, 0.12001952382416159, 0.13287300705693317, 0.10902859390809172, 0.24058344320242542, 0.19766883784085798, 0.17682252598275727, 0.3776135025269851, 0.13317928015447766, 0.513206686960251, 0.4194925832966523, 0.25045400212952096], [188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) dbO_d_5_1_8_mdav_sg = ([16238581126040.176, -12392778427221.922, -8212379061180.414, 56898742460873.44, 35475146515804.14, 42680681406354.69, -478952821568.8281, 49897934762381.31, 2175965831521.6953, 57004826703754.44, 5912883679703.645, 48465113964552.86, -4850644188981.352, -7140487301571.756, 31442851235265.3], [56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_d_5_2_8_mdav_sg = ([51924333863916.945, 58599317068827.43, 44316688719217.56, 42722856046180.125, 434539755214.4883, -7004901033601.379, 24455557602245.83, -625390466179.4297, -8399213463738.584, -4909325549047.359, 5009492869930.574, 57298619881180.586, 58065888017170.13, 67795265346599.805, 5229028242904.676], [114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_d_4_3_8_mdav_sg = ([-60918531670806.586, -62102491972959.31, -19269530219587.32, -70150756328415.56, -20406944480803.47, -50335913908637.56, -57996815011984.7, -18591062450699.805, -47594696260760.11, -768899066598.0156, -5162810716364.078, -21357933471675.242, -48277373345962.11, -22129845770532.273, -5068097725772.484], [92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_d_4_4_8_mdav_sg = ([-56579071796989.13, 14786210874213.945, -20941396130787.086, -36732278371384.47, -5851776286483.164, -18227290348831.594, -7643721763361.273, -49465954639956.055, -16980149836887.719, -37582586183653.45, -43303856706534.53, 16281878615106.773, -52745418176869.38, -2590546368940.992, -50728605475463.53], [130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_d_3_5_8_mdav_sg = ([16707947210089.117, 8259002277445.836, 10168363015552.32, 8234701727734.883, 7118571609604.477, -51907755121798.234, 22252462248571.71, -6188546947050.086, 1352543503565.8594, 20661229557234.336, -12273147705326.555, -33003453987242.41, 769569842166.7969, 14921608528477.555, -42577630810169.74], [185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_d_2_6_8_mdav_sg = ([10095888337036.375, 3236496967675.6133, 34083064065959.01, -12157724072360.74, -14063896529493.465, -9648874474179.883, -12248281002860.0, 38142573079580.59, 28400991054905.91, 32103888551705.37, 38549542900765.16, -6199850175239.773, -2472577615239.1055, 22652763321788.94, 14250247630963.043], [188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) dbO_d_5_1_8_mdav_kr = ([0.1197516636321706, 0.14414893857033317, 0.17978994170763907, 0.2780899361096306, 0.3348979528664142, 0.16522403957091736, 0.2501689977004914, 0.28247549498837043, 0.2854038562980237, 0.18906477629298046, 0.3515283003384433, 0.18836050005174831, 0.17187717354605958, 0.3413034572108731, 0.31189145450084244], [56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_d_5_2_8_mdav_kr = ([0.03206337777943791, 0.04137827033332486, 0.0956354979867573, 0.11078187814538676, 0.09873313904927139, 0.1339526156253018, 0.15204549775515652, 0.10773616139045183, 0.16102309338735465, 0.17661383128641772, 0.28846087514478425, 0.19804865241248848, 0.19036024509589256, 0.030574660514727126, 0.19640152276116452], [114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_d_4_3_8_mdav_kr = ([0.059614330701962426, 0.12275355110613706, 0.18263690491411866, 0.2674009518950988, 0.17822700405172864, 0.22654695249938217, 0.13475310703817478, 0.3614228103082511, 0.3356031739487775, 0.2084763630267218, 0.1891566590190945, 0.42013510676326526, 0.32255159996044935, 0.1421298651952967, 0.41521823225675436], [92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_d_4_4_8_mdav_kr = ([0.08402365571851722, 0.11310151991372286, 0.1253754594495311, 0.15271412216363556, 0.1924837646363522, 0.2471259025574546, 0.29484972970350953, 0.34886125021300396, 0.367997382816438, 0.1585238877870787, 0.41460921095269665, 0.42345794510898815, 0.6041108967559863, 0.5832545120000592, 0.3768921208775784], [130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_d_3_5_8_mdav_kr = ([0.015785586024316234, 0.07437909578104362, 0.12513484267785502, 0.08584252017173677, 0.11313929132982892, 0.09440701526540662, 0.1228763803358961, 0.1447569328345315, 0.13965190694698226, 0.18178200018144963, 0.2985720588557843, 0.12125370381604628, 0.14095356583615115, 0.21719181066903348, 0.3380967087262623], [185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_d_2_6_8_mdav_kr = ([0.0014531553710778189, 0.027343074297153325, 0.04256219197494904, 0.07521555383077572, 0.11384465126629861, 0.13393754206160424, 0.11034910887377536, 0.21518924821107488, 0.19721719677150362, 0.1732742096891351, 0.3984696620235886, 0.17673026544528336, 0.34096035384200807, 0.35144227722586985, 0.23326612956279769], [188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) dbO_d_5_1_8_mdav_sv = ([0.04103929759093783, 0.04993482209033939, 0.06506398397753077, 0.09606546000528204, 0.10550822018705375, 0.056061454484784945, 0.08553308127175374, 0.09657993647916985, 0.10057834879517491, 0.09210612988639244, 0.12224177542083303, 0.0813669971226535, 0.04975562259885524, 0.11075076886603108, 0.05642688309997379], [56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_d_5_2_8_mdav_sv = ([0.026944488216351536, 0.04614656746056289, 0.05430266014769536, 0.04593435532684176, 0.05544470265838852, 0.062210103078656265, 0.0676947847846815, 0.04731320426899999, 0.05467577095426435, 0.0661774692900915, 0.08410665835729281, 0.07771397428669624, 0.08628038909101121, 0.03650113702485791, 0.07072030777830263], [114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_d_4_3_8_mdav_sv = ([0.04569907125494732, 0.06704445790674496, 0.08700314527511466, 0.08692501473701852, 0.07293178047625204, 0.08252026521267031, 0.04140544969875826, 0.11482303989716514, 0.05413956628095862, 0.05291015540162769, 0.06365337442699881, 0.09225680333680641, 0.08534084834235978, 0.0486194373634391, 0.07621804516391328], [92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_d_4_4_8_mdav_sv = ([0.05374338392847722, 0.06440258881398198, 0.07957223527550872, 0.06762708440998988, 0.07149921959848571, 0.12205767072663865, 0.07792986627173659, 0.10643267772592713, 0.07659878759729988, 0.0990721123872359, 0.14405662751098147, 0.09018227346549146, 0.10265332027358853, 0.11012848991287305, 0.08069786251738276], [130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_d_3_5_8_mdav_sv = ([0.0402295254969226, 0.05340713710614586, 0.07434042817315756, 0.06542253240076767, 0.07674445963316068, 0.06443501843325017, 0.0671841824218734, 0.07590488980104515, 0.06710244801069998, 0.07324038547983347, 0.11480464881672348, 0.08848111615742027, 0.0896039985495044, 0.1307106742352263, 0.15385744926210443], [185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_d_2_6_8_mdav_sv = ([0.014987171796489784, 0.028064708820005335, 0.04644421009798594, 0.05006516066481004, 0.06122542980683143, 0.06717276476102774, 0.05440927958685016, 0.11054562424691194, 0.07932623977400366, 0.11580189730844459, 0.1375705812771032, 0.07369603359824517, 0.11642855476192471, 0.09313194735338504, 0.0693372877559838], [188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) dbO_e_5_1_8_mdav_lr = ([0.7085218557110045, 0.8168898066352053, 0.8468662205493638, 0.8787360104936922, 0.9580551420375328, 1.029530176404015, 0.8307232142831843, 0.9290834167310594, 0.9857386062588632, 0.9793747348809604, 0.8976498370850807, 1.023890987702197, 0.8560031485299017, 0.8713839011200682, 1.0446911193586645, 0.9961354108102055], [824, 56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_e_5_2_8_mdav_lr = ([0.7085218557110045, 0.7407039121127355, 0.75037406923707, 0.8060000348744051, 0.8273652526570555, 0.806871404267495, 0.8473802867831405, 0.8481198472196703, 0.8035774878729856, 0.8653514701191964, 0.8777031918871281, 0.9977961442256172, 0.9194219493113318, 0.9318333215041174, 0.7434469100341007, 0.9052164538178734], [824, 114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_e_4_3_8_mdav_lr = ([0.7085218557110045, 0.7684903860245261, 0.8428897882186901, 0.9546069086714499, 0.9794242799912943, 0.8985091091452048, 0.9400126930034753, 0.8696074153392759, 1.0581311651591672, 1.0185640189677077, 0.9140587194524027, 0.9020332423707436, 1.1316736235246545, 1.0894190096931875, 0.8739376552720304, 1.1220189903229416], [824, 92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_e_4_4_8_mdav_lr = ([0.7085218557110045, 0.7965897597193229, 0.8259557453037458, 0.8343274303346989, 0.858588972477669, 0.9036851520313025, 0.962509973085834, 1.0433736771159638, 1.0672503555595207, 1.0996209609006256, 0.8895558103440095, 1.146528178605391, 1.1421947383579103, 1.3130521322373174, 1.3493841987139594, 1.1640154523489807], [824, 130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_e_3_5_8_mdav_lr = ([0.7085218557110045, 0.7249475043958474, 0.7874558234592338, 0.8406717098037199, 0.7885308414776394, 0.8296090262342568, 0.8154144474427005, 0.8816333656938072, 0.8582540418498079, 0.8462914087808172, 0.8914407108218511, 1.0073685409893627, 0.8295663919529893, 0.8845339916064728, 1.0679329914465776, 1.064655610254295], [824, 185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_e_2_6_8_mdav_lr = ([0.7085218557110045, 0.7102830095299104, 0.7383466471080892, 0.7484641852891089, 0.7808783609204825, 0.828541379535166, 0.8413948627679376, 0.8175504496190962, 0.9491052989134299, 0.9061906935518624, 0.8853443816937617, 1.0861353582379896, 0.8417011358654821, 1.2217285426712554, 1.1280144390076567, 0.9589758578405254], [824, 188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) dbO_e_5_1_8_mdav_sg = ([38399048003605.31, 52181252683561.24, 56435484066210.85, 28694443405238.508, 34893940833993.418, 60388237729932.875, 59043311777573.25, 64273052354785.375, 9835577457391.531, 66319280680347.49, 84279298952682.4, 62624863286368.164, 4868032330915.333, 32162727435902.875, 35856670628067.0, 20114447393306.703], [824, 56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_e_5_2_8_mdav_sg = ([30549738973011.88, 8633627065454.22, 8449309724916.865, 55924004490532.96, 10307016928661.033, 12741351552232.736, 23623862640795.848, 38729218140679.34, 73203071409600.89, 28372375862227.363, 66916801009758.13, 35448830917354.28, 36343029619849.34, 30890019823112.62, 84516365761001.4, 53241987004955.39], [824, 114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_e_4_3_8_mdav_sg = ([42263018848381.18, 44199325367869.24, 66537474251208.305, 78158086869640.23, 48367766761721.445, 67338435929424.945, 77441249151160.34, 52093090053561.2, 45030406256052.055, 17887910766658.457, 55555321873329.71, 35306588304548.97, 88110813532883.55, 52961612257069.35, 83597918627368.6, 52276311103599.96], [824, 92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_e_4_4_8_mdav_sg = ([8019498108526.915, 28481474304586.22, 70146448542743.49, 38003215081688.055, 24141224336457.387, 24309039439011.133, 47824665077307.305, 13679388363609.43, 31916816433626.746, 77457240236370.3, 68894338688958.875, 17911270301842.965, 76104923419863.28, 8947488221651.807, 90086285806547.42, 23253656715508.887], [824, 130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_e_3_5_8_mdav_sg = ([22439940217768.773, 78303716026103.86, 89358887983438.33, 12946333816755.684, 77443592206620.61, 60817676480323.49, 10951643844434.42, 82998200046550.97, 46426304304648.016, 17445384245105.764, 86263157717538.17, 59353553584601.27, 7514933788622.75, 49411565385414.55, 25079223185954.023, 51090522021065.25], [824, 185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_e_2_6_8_mdav_sg = ([72018856126576.38, 44734209017233.39, 10504912292390.992, 44729366372128.25, 42954292026999.95, 11225789494943.43, 82702251029404.44, 40239292162126.91, 76822023655376.14, 84795245773942.45, 7406282022161.998, 16621605116573.498, 33754862229637.375, 69989934984211.21, 26222913368090.617, 79540486029347.97], [824, 188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) dbO_e_5_1_8_mdav_kr = ([0.7089279375546549, 0.8286796011868255, 0.8530768761249881, 0.888717879262294, 0.9870178736642855, 1.043825890421069, 0.8741519771255722, 0.9590969352551463, 0.9914034325430253, 0.9943317938526786, 0.8979927138476353, 1.0604562378930982, 0.8972884376064032, 0.8808051111007145, 1.050231394765528, 1.0208193920554973], [824, 56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_e_5_2_8_mdav_kr = ([0.7089279375546549, 0.7409913153340928, 0.7503062078879797, 0.8045634355414122, 0.8197098157000416, 0.8076610766039263, 0.8428805531799567, 0.8609734353098114, 0.8166640989451067, 0.8699510309420095, 0.8855417688410726, 0.9973888126994391, 0.9069765899671434, 0.8992881826505474, 0.739502598069382, 0.9053294603158194], [824, 114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_e_4_3_8_mdav_kr = ([0.7089279375546549, 0.7685422682566173, 0.831681488660792, 0.8915648424687735, 0.9763288894497537, 0.8871549416063835, 0.9354748900540371, 0.8436810445928297, 1.070350747862906, 1.0445311115034324, 0.9174043005813767, 0.8980845965737494, 1.1290630443179202, 1.0314795375151042, 0.8510578027499516, 1.1241461698114092], [824, 92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_e_4_4_8_mdav_kr = ([0.7089279375546549, 0.7929515932731721, 0.8220294574683777, 0.834303397004186, 0.8616420597182904, 0.9014117021910071, 0.9560538401121095, 1.0037776672581644, 1.0577891877676588, 1.076925320371093, 0.8674518253417336, 1.1235371485073515, 1.132385882663643, 1.3130388343106412, 1.292182449554714, 1.0858200584322333], [824, 130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_e_3_5_8_mdav_kr = ([0.7089279375546549, 0.7247135235789711, 0.7833070333356985, 0.8340627802325099, 0.7947704577263917, 0.8220672288844838, 0.8033349528200615, 0.831804317890551, 0.8536848703891864, 0.8485798445016371, 0.8907099377361045, 1.0074999964104392, 0.8301816413707012, 0.849881503390806, 0.9261197482236884, 1.0470246462809172], [824, 185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_e_2_6_8_mdav_kr = ([0.7089279375546549, 0.7103810929257327, 0.7362710118518082, 0.7514901295296039, 0.7841434913854306, 0.8227725888209535, 0.8428654796162591, 0.8192770464284302, 0.9241171857657298, 0.9061451343261585, 0.88220214724379, 1.1073975995782435, 0.8856582029999382, 1.049888291396663, 1.0603702147805247, 0.9421940671174526], [824, 188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) dbO_e_5_1_8_mdav_sv = ([0.9806998148180447, 1.0217391124089825, 1.030634636908384, 1.0457637987955755, 1.0767652748233267, 1.0862080350050984, 1.0367612693028296, 1.0662328960897984, 1.0772797512972145, 1.0812781636132196, 1.0728059447044371, 1.1029415902388777, 1.0620668119406982, 1.0304554374169, 1.0914505836840758, 1.0371266979180185], [824, 56, 29, 17, 11, 8, 12, 12, 6, 6, 8, 7, 8, 8, 5, 8]) dbO_e_5_2_8_mdav_sv = ([0.9806998148180447, 1.0076443030343962, 1.0268463822786076, 1.03500247496574, 1.0266341701448864, 1.0361445174764332, 1.042909917896701, 1.0483945996027262, 1.0280130190870447, 1.035375585772309, 1.0468772841081362, 1.0648064731753375, 1.058413789104741, 1.066980203909056, 1.0172009518429026, 1.0514201225963473], [824, 114, 65, 48, 32, 30, 25, 22, 19, 21, 19, 15, 15, 13, 10, 4]) dbO_e_4_3_8_mdav_sv = ([0.9806998148180447, 1.026398886072992, 1.0477442727247896, 1.0677029600931593, 1.0676248295550632, 1.0536315952942967, 1.063220080030715, 1.022105264516803, 1.0955228547152098, 1.0348393810990033, 1.0336099702196724, 1.0443531892450435, 1.072956618154851, 1.0660406631604045, 1.0293192521814838, 1.056917859981958], [824, 92, 24, 12, 18, 13, 8, 2, 5, 4, 3, 1, 5, 5, 4, 5]) dbO_e_4_4_8_mdav_sv = ([0.9806998148180447, 1.034443198746522, 1.0451024036320267, 1.0602720500935534, 1.0483268992280346, 1.0521990344165304, 1.1027574855446833, 1.0586296810897813, 1.0871324925439718, 1.0572986024153446, 1.0797719272052806, 1.1247564423290262, 1.0708820882835361, 1.0833531350916332, 1.0908283047309177, 1.0613976773354274], [824, 130, 36, 21, 15, 17, 5, 4, 5, 6, 2, 6, 4, 7, 2, 7]) dbO_e_3_5_8_mdav_sv = ([0.9806998148180447, 1.0209293403149673, 1.0341069519241906, 1.0550402429912022, 1.0461223472188124, 1.0574442744512054, 1.0451348332512949, 1.047883997239918, 1.0566047046190898, 1.0478022628287447, 1.0539402002978782, 1.0955044636347682, 1.069180930975465, 1.070303813367549, 1.111410489053271, 1.1345572640801491], [824, 185, 74, 27, 20, 15, 20, 13, 11, 9, 4, 5, 6, 7, 2, 5]) dbO_e_2_6_8_mdav_sv = ([0.9806998148180447, 0.9956869866145345, 1.00876452363805, 1.0271440249160306, 1.0307649754828547, 1.0419252446248761, 1.0478725795790724, 1.0351090944048948, 1.0912454390649566, 1.0600260545920484, 1.0965017121264893, 1.118270396095148, 1.0543958484162899, 1.0971283695799694, 1.0738317621714297, 1.0500371025740285], [824, 188, 94, 46, 35, 28, 26, 25, 14, 15, 8, 6, 9, 6, 7, 6]) ## RESULTS MONDRIAN dbO_d_5_1_8_mond_lr = ([0.11605661086798214, 0.17674179554979774, 0.2404018630474699, 0.2404018630474699, 0.2404018630474699, 0.32141229136485117, 0.32141229136485117, 0.32141229136485117, 0.32141229136485117, 0.32141229136485117, 0.42811296524418574, 0.42811296524418574, 0.42811296524418574, 0.42811296524418574, 0.42811296524418574], [24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_d_5_2_8_mond_lr = ([0.07660154339053127, 0.08538135011546899, 0.17168031227072222, 0.17168031227072222, 0.17168031227072222, 0.25038801831561097, 0.25038801831561097, 0.25038801831561097, 0.25038801831561097, 0.25038801831561097, 0.4652160537306256, 0.4652160537306256, 0.4652160537306256, 0.4652160537306256, 0.4652160537306256], [61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_d_4_3_8_mond_lr = ([0.18320250516428405, 0.18115489315303324, 0.2052749247559773, 0.2052749247559773, 0.2052749247559773, 0.20365686483739598, 0.20365686483739598, 0.20365686483739598, 0.20365686483739598, 0.20365686483739598, 0.1623317731289472, 0.1623317731289472, 0.1623317731289472, 0.1623317731289472, 0.1623317731289472], [11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_d_4_4_8_mond_lr = ([0.222898892803849, 0.1905361766539272, 0.17166920777756178, 0.17166920777756178, 0.17166920777756178, 0.28768360644044055, 0.28768360644044055, 0.28768360644044055, 0.28768360644044055, 0.28768360644044055, 0.3859994622378804, 0.3859994622378804, 0.3859994622378804, 0.3859994622378804, 0.3859994622378804], [36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_d_3_5_8_mond_lr = ([0.09750543202537654, 0.1118169785583466, 0.35469775908983103, 0.35469775908983103, 0.35469775908983103, 0.22999293101867546, 0.22999293101867546, 0.22999293101867546, 0.22999293101867546, 0.22999293101867546, 0.24694579374904824, 0.24694579374904824, 0.24694579374904824, 0.24694579374904824, 0.24694579374904824], [57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_d_2_6_8_mond_lr = ([0.05718973985781972, 0.10266444511822848, 0.1845130892971203, 0.1845130892971203, 0.1845130892971203, 0.21207610084426443, 0.21207610084426443, 0.21207610084426443, 0.21207610084426443, 0.21207610084426443, 0.38425262666071247, 0.38425262666071247, 0.38425262666071247, 0.38425262666071247, 0.38425262666071247], [51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) dbO_d_5_1_8_mond_sg = ([20843977266516.664, -39248639174779.89, -39436280454965.8, -43095028262693.97, -18660038370165.617, -46770933616984.2, -10128626964595.64, -395106690513.9219, -34934036937739.676, -45371548378969.36, -33846642127173.26, -5405289885448.078, -9352344215246.797, -58459301294773.91, -53074954997128.81], [24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_d_5_2_8_mond_sg = ([-28240382730588.18, -37489848705538.68, -54266140175748.73, 15826496741992.469, -14271416880469.523, -34606827784808.375, -10624061013739.117, -34916461319523.14, -60356846847268.21, -47277640228943.06, -59659252888495.41, -7561516458292.445, 31553236012008.83, 10852743084595.39, -7829996947767.008], [61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_d_4_3_8_mond_sg = ([-54820241011467.125, -31204643763726.96, -16655566974537.96, -30990119909114.656, -63672578904882.625, -52065715835401.56, -55830324822891.61, 2421150127701.328, -65083917416415.38, 9614792332050.734, -5539910101414.805, 874540084061.4062, -32035361838602.156, -45560503982746.45, -16462852178868.43], [11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_d_4_4_8_mond_sg = ([-73828710837791.38, -21378239341236.97, -76207149819492.64, -77301149655814.86, -39669948206690.0, -47770436973471.586, -1986890288710.8438, -79931042100640.69, -22400542801816.11, -31118829002145.15, -26101017270712.758, -67301233330400.85, -5936937005761.75, -44107842496715.82, -28157877495980.984], [36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_d_3_5_8_mond_sg = ([46577709615433.19, 59703440205658.22, -2533169869772.0195, 28869726187743.414, 24933171998676.21, -3289132288336.6094, 3992622658410.7285, 47162388710207.73, 48639502175259.05, 57926592208461.34, 50739298441242.59, 38259680719339.414, 51138333157202.055, 4232554128593.826, 40472627835025.305], [57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_d_2_6_8_mond_sg = ([28106988969307.332, 9637479797139.262, 46177587697553.11, 11072068739391.793, 20052223722360.668, 5576701715799.252, 4314393911693.8457, 17005586365822.227, 10017428043238.863, 8593884630156.766, 38310301699266.0, 47403349005782.11, 39613216008221.0, -926115951138.8096, 71280272245416.14], [51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) dbO_d_5_1_8_mond_kr = ([0.14503336216886864, 0.2175661655835751, 0.23606653872930294, 0.23606653872930294, 0.23606653872930294, 0.3213176457793059, 0.3213176457793059, 0.3213176457793059, 0.3213176457793059, 0.3213176457793059, 0.4262940784011213, 0.4262940784011213, 0.4262940784011213, 0.4262940784011213, 0.4262940784011213], [24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_d_5_2_8_mond_kr = ([0.07518118503751414, 0.08189961098147491, 0.16593346858753721, 0.16593346858753721, 0.16593346858753721, 0.2489438595609489, 0.2489438595609489, 0.2489438595609489, 0.2489438595609489, 0.2489438595609489, 0.41611365401635636, 0.41611365401635636, 0.41611365401635636, 0.41611365401635636, 0.41611365401635636], [61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_d_4_3_8_mond_kr = ([0.17126600292659777, 0.16684578272062134, 0.20073098025901515, 0.20073098025901515, 0.20073098025901515, 0.19857281419224304, 0.19857281419224304, 0.19857281419224304, 0.19857281419224304, 0.19857281419224304, 0.12661252899047792, 0.12661252899047792, 0.12661252899047792, 0.12661252899047792, 0.12661252899047792], [11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_d_4_4_8_mond_kr = ([0.22625566232076622, 0.18973435403008576, 0.1718063088898344, 0.1718063088898344, 0.1718063088898344, 0.290894601190829, 0.290894601190829, 0.290894601190829, 0.290894601190829, 0.290894601190829, 0.3920297356153246, 0.3920297356153246, 0.3920297356153246, 0.3920297356153246, 0.3920297356153246], [36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_d_3_5_8_mond_kr = ([0.0984705571672384, 0.11136878872222189, 0.34231327515881826, 0.34231327515881826, 0.34231327515881826, 0.20814388619000057, 0.20814388619000057, 0.20814388619000057, 0.20814388619000057, 0.20814388619000057, 0.25635133146565914, 0.25635133146565914, 0.25635133146565914, 0.25635133146565914, 0.25635133146565914], [57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_d_2_6_8_mond_kr = ([0.05515422555314109, 0.10129373907587114, 0.18713941990441751, 0.18713941990441751, 0.18713941990441751, 0.18334709022476603, 0.18334709022476603, 0.18334709022476603, 0.18334709022476603, 0.18334709022476603, 0.4023138155044388, 0.4023138155044388, 0.4023138155044388, 0.4023138155044388, 0.4023138155044388], [51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) dbO_d_5_1_8_mond_sv = ([0.061338560518052865, 0.07246234370625337, 0.083131049096559, 0.083131049096559, 0.083131049096559, 0.0882577292297656, 0.0882577292297656, 0.0882577292297656, 0.0882577292297656, 0.0882577292297656, 0.07483280722398111, 0.07483280722398111, 0.07483280722398111, 0.07483280722398111, 0.07483280722398111], [24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_d_5_2_8_mond_sv = ([0.04899785533439316, 0.05106083460763988, 0.04507429440450539, 0.04507429440450539, 0.04507429440450539, 0.09049758074336778, 0.09049758074336778, 0.09049758074336778, 0.09049758074336778, 0.09049758074336778, 0.10404094682968446, 0.10404094682968446, 0.10404094682968446, 0.10404094682968446, 0.10404094682968446], [61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_d_4_3_8_mond_sv = ([0.03051092649252729, 0.05156430973412751, 0.09135088912784972, 0.09135088912784972, 0.09135088912784972, 0.06170586299419678, 0.06170586299419678, 0.06170586299419678, 0.06170586299419678, 0.06170586299419678, 0.10414838684195449, 0.10414838684195449, 0.10414838684195449, 0.10414838684195449, 0.10414838684195449], [11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_d_4_4_8_mond_sv = ([0.07411999687433102, 0.07031528490286243, 0.05365343714866133, 0.05365343714866133, 0.05365343714866133, 0.0811258229941626, 0.0811258229941626, 0.0811258229941626, 0.0811258229941626, 0.0811258229941626, 0.0906689227593277, 0.0906689227593277, 0.0906689227593277, 0.0906689227593277, 0.0906689227593277], [36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_d_3_5_8_mond_sv = ([0.06947630431910412, 0.07798210046529996, 0.1271888707400769, 0.1271888707400769, 0.1271888707400769, 0.09426789420912052, 0.09426789420912052, 0.09426789420912052, 0.09426789420912052, 0.09426789420912052, 0.1448282450232713, 0.1448282450232713, 0.1448282450232713, 0.1448282450232713, 0.1448282450232713], [57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_d_2_6_8_mond_sv = ([0.05414704854512842, 0.07492517406740007, 0.08325709639773804, 0.08325709639773804, 0.08325709639773804, 0.06530307913585964, 0.06530307913585964, 0.06530307913585964, 0.06530307913585964, 0.06530307913585964, 0.11844611803656047, 0.11844611803656047, 0.11844611803656047, 0.11844611803656047, 0.11844611803656047], [51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) dbO_e_5_1_8_mond_lr = ([0.7085218557110045, 0.8245784665789866, 0.8852636512608022, 0.9489237187584744, 0.9489237187584744, 0.9489237187584744, 1.0299341470758556, 1.0299341470758556, 1.0299341470758556, 1.0299341470758556, 1.0299341470758556, 1.1366348209551902, 1.1366348209551902, 1.1366348209551902, 1.1366348209551902, 1.1366348209551902], [824, 24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_e_5_2_8_mond_lr = ([0.7085218557110045, 0.7851233991015357, 0.7939032058264734, 0.8802021679817267, 0.8802021679817267, 0.8802021679817267, 0.9589098740266154, 0.9589098740266154, 0.9589098740266154, 0.9589098740266154, 0.9589098740266154, 1.17373790944163, 1.17373790944163, 1.17373790944163, 1.17373790944163, 1.17373790944163], [824, 61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_e_4_3_8_mond_lr = ([0.7085218557110045, 0.8917243608752885, 0.8896767488640377, 0.9137967804669818, 0.9137967804669818, 0.9137967804669818, 0.9121787205484004, 0.9121787205484004, 0.9121787205484004, 0.9121787205484004, 0.9121787205484004, 0.8708536288399517, 0.8708536288399517, 0.8708536288399517, 0.8708536288399517, 0.8708536288399517], [824, 11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_e_4_4_8_mond_lr = ([0.7085218557110045, 0.9314207485148535, 0.8990580323649316, 0.8801910634885662, 0.8801910634885662, 0.8801910634885662, 0.996205462151445, 0.996205462151445, 0.996205462151445, 0.996205462151445, 0.996205462151445, 1.0945213179488849, 1.0945213179488849, 1.0945213179488849, 1.0945213179488849, 1.0945213179488849], [824, 36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_e_3_5_8_mond_lr = ([0.7085218557110045, 0.806027287736381, 0.8203388342693511, 1.0632196148008355, 1.0632196148008355, 1.0632196148008355, 0.9385147867296799, 0.9385147867296799, 0.9385147867296799, 0.9385147867296799, 0.9385147867296799, 0.9554676494600527, 0.9554676494600527, 0.9554676494600527, 0.9554676494600527, 0.9554676494600527], [824, 57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_e_2_6_8_mond_lr = ([0.7085218557110045, 0.7657115955688242, 0.8111863008292329, 0.8930349450081247, 0.8930349450081247, 0.8930349450081247, 0.9205979565552689, 0.9205979565552689, 0.9205979565552689, 0.9205979565552689, 0.9205979565552689, 1.092774482371717, 1.092774482371717, 1.092774482371717, 1.092774482371717, 1.092774482371717], [824, 51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) dbO_e_5_1_8_mond_sg = ([72901151518966.25, 32592112292045.195, 7296163600631.075, 15177791711055.92, 17535882856314.598, 69606925197005.96, 54373517114839.11, 36447247615797.695, 15954066275351.543, 58379038294219.164, 43883620999793.08, 63901765362965.61, 5051769624229.892, 13300483169754.76, 60957321230518.88, 60965827687764.57], [824, 24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_e_5_2_8_mond_sg = ([57199490296098.984, 13702520553618.303, 26497805636774.453, 17563306257173.062, 55847768795403.04, 51494285711662.055, 13330504421575.22, 6171951935083.671, 40533167140173.664, 49745859592266.43, 47017171917039.555, 67043999942549.11, 6551990862955.361, 73281251203522.92, 76426665263162.17, 64397938659598.664], [824, 61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_e_4_3_8_mond_sg = ([76739480758107.22, 13180922161069.648, 70415177769011.75, 75650836961705.66, 63588219931500.734, 21978444221027.688, 6817167232550.826, 36882776280678.67, 105796884434029.58, 45241953628941.33, 42632794496496.164, 53986741125783.375, 45877368973161.12, 49540443564504.914, 65705815078270.2, 65290142585340.44], [824, 11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_e_4_4_8_mond_sg = ([21513044256999.668, 72047242924403.66, 52004259522591.64, 47431598947708.445, 64971659345864.875, 24205914004701.312, 89152159378128.83, 7897297424242.745, 11610938607047.113, 6553244382570.93, 54709117935065.695, 81031397730050.11, 37408785893947.37, 69739318817738.92, 49173246394711.31, 16405503519292.889], [824, 36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_e_3_5_8_mond_sg = ([86445751623511.2, 5197999508851.122, 22171040957680.164, 20005678434428.773, 63414902480672.85, 47052989622453.36, 32544445150820.12, 53900467011175.32, 79514061284213.62, 5678399568898.962, 38910985771818.41, 45236453389022.85, 26586846273532.293, 60405617939616.76, 12631321509536.637, 33212092138210.367], [824, 57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_e_2_6_8_mond_sg = ([19522759744357.285, 75792567033981.0, 5325578076426.232, 35276887064569.63, 52184107654698.586, 109387753695422.47, 85561786609711.77, 90544186162528.94, 16470638838195.707, 52650280634882.57, 66639701139972.195, 28843234908602.586, 35900599486905.805, 6868592171687.86, 56956634600594.086, 6638010742436.161], [824, 51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) dbO_e_5_1_8_mond_kr = ([0.7089279375546549, 0.8539612997235235, 0.92649410313823, 0.9449944762839578, 0.9449944762839578, 0.9449944762839578, 1.0302455833339608, 1.0302455833339608, 1.0302455833339608, 1.0302455833339608, 1.0302455833339608, 1.1352220159557762, 1.1352220159557762, 1.1352220159557762, 1.1352220159557762, 1.1352220159557762], [824, 24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_e_5_2_8_mond_kr = ([0.7089279375546549, 0.784109122592169, 0.7908275485361298, 0.8748614061421921, 0.8748614061421921, 0.8748614061421921, 0.9578717971156038, 0.9578717971156038, 0.9578717971156038, 0.9578717971156038, 0.9578717971156038, 1.1250415915710112, 1.1250415915710112, 1.1250415915710112, 1.1250415915710112, 1.1250415915710112], [824, 61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_e_4_3_8_mond_kr = ([0.7089279375546549, 0.8801939404812527, 0.8757737202752762, 0.90965891781367, 0.90965891781367, 0.90965891781367, 0.9075007517468979, 0.9075007517468979, 0.9075007517468979, 0.9075007517468979, 0.9075007517468979, 0.8355404665451328, 0.8355404665451328, 0.8355404665451328, 0.8355404665451328, 0.8355404665451328], [824, 11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_e_4_4_8_mond_kr = ([0.7089279375546549, 0.9351835998754211, 0.8986622915847406, 0.8807342464444893, 0.8807342464444893, 0.8807342464444893, 0.9998225387454839, 0.9998225387454839, 0.9998225387454839, 0.9998225387454839, 0.9998225387454839, 1.1009576731699795, 1.1009576731699795, 1.1009576731699795, 1.1009576731699795, 1.1009576731699795], [824, 36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_e_3_5_8_mond_kr = ([0.7089279375546549, 0.8073984947218933, 0.8202967262768768, 1.0512412127134731, 1.0512412127134731, 1.0512412127134731, 0.9170718237446555, 0.9170718237446555, 0.9170718237446555, 0.9170718237446555, 0.9170718237446555, 0.965279269020314, 0.965279269020314, 0.965279269020314, 0.965279269020314, 0.965279269020314], [824, 57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_e_2_6_8_mond_kr = ([0.7089279375546549, 0.764082163107796, 0.810221676630526, 0.8960673574590724, 0.8960673574590724, 0.8960673574590724, 0.8922750277794209, 0.8922750277794209, 0.8922750277794209, 0.8922750277794209, 0.8922750277794209, 1.1112417530590937, 1.1112417530590937, 1.1112417530590937, 1.1112417530590937, 1.1112417530590937], [824, 51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) dbO_e_5_1_8_mond_sv = ([0.9806998148180447, 1.0420383753360976, 1.053162158524298, 1.0638308639146037, 1.0638308639146037, 1.0638308639146037, 1.0689575440478103, 1.0689575440478103, 1.0689575440478103, 1.0689575440478103, 1.0689575440478103, 1.0555326220420258, 1.0555326220420258, 1.0555326220420258, 1.0555326220420258, 1.0555326220420258], [824, 24, 21, 8, 8, 8, 8, 8, 8, 8, 8, 1, 1, 1, 1, 1]) dbO_e_5_2_8_mond_sv = ([0.9806998148180447, 1.0296976701524378, 1.0317606494256846, 1.02577410922255, 1.02577410922255, 1.02577410922255, 1.0711973955614125, 1.0711973955614125, 1.0711973955614125, 1.0711973955614125, 1.0711973955614125, 1.0847407616477291, 1.0847407616477291, 1.0847407616477291, 1.0847407616477291, 1.0847407616477291], [824, 61, 49, 17, 17, 17, 10, 10, 10, 10, 10, 5, 5, 5, 5, 5]) dbO_e_4_3_8_mond_sv = ([0.9806998148180447, 1.011210741310572, 1.0322641245521722, 1.0720507039458944, 1.0720507039458944, 1.0720507039458944, 1.0424056778122415, 1.0424056778122415, 1.0424056778122415, 1.0424056778122415, 1.0424056778122415, 1.0848482016599992, 1.0848482016599992, 1.0848482016599992, 1.0848482016599992, 1.0848482016599992], [824, 11, 12, 6, 6, 6, 2, 2, 2, 2, 2, 1, 1, 1, 1, 1]) dbO_e_4_4_8_mond_sv = ([0.9806998148180447, 1.0548198116923757, 1.0510150997209071, 1.034353251966706, 1.034353251966706, 1.034353251966706, 1.0618256378122073, 1.0618256378122073, 1.0618256378122073, 1.0618256378122073, 1.0618256378122073, 1.0713687375773724, 1.0713687375773724, 1.0713687375773724, 1.0713687375773724, 1.0713687375773724], [824, 36, 22, 7, 7, 7, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3]) dbO_e_3_5_8_mond_sv = ([0.9806998148180447, 1.0501761191371488, 1.0586819152833447, 1.1078886855581216, 1.1078886855581216, 1.1078886855581216, 1.0749677090271652, 1.0749677090271652, 1.0749677090271652, 1.0749677090271652, 1.0749677090271652, 1.125528059841316, 1.125528059841316, 1.125528059841316, 1.125528059841316, 1.125528059841316], [824, 57, 43, 7, 7, 7, 3, 3, 3, 3, 3, 5, 5, 5, 5, 5]) dbO_e_2_6_8_mond_sv = ([0.9806998148180447, 1.034846863363173, 1.0556249888854448, 1.0639569112157827, 1.0639569112157827, 1.0639569112157827, 1.0460028939539043, 1.0460028939539043, 1.0460028939539043, 1.0460028939539043, 1.0460028939539043, 1.0991459328546052, 1.0991459328546052, 1.0991459328546052, 1.0991459328546052, 1.0991459328546052], [824, 51, 30, 11, 11, 11, 5, 5, 5, 5, 5, 2, 2, 2, 2, 2]) ## RESULTS NOISE ADDITION dbO_d_5_1_8_nAdd_lr = ([0.4256101976999289, 0.3421383085093386, 0.3652296691809378, 0.35845860511478067, 0.3146053325665932, 0.32086949263808795, 0.3717608086530435, 0.35106400730002396, 0.3315157450195474, 0.3658365657293545, 0.3753303712283256, 0.3587982751599552], [0, 1, 0, 1, 2, 1, 1, 0, 0, 1, 0, 2]) dbO_d_5_2_8_nAdd_lr = ([0.41075034997546633, 0.36149088160649145, 0.3237599540254892, 0.31781104650738334, 0.36768236100720775, 0.36678227392706764, 0.35578605111395323, 0.39117402945158575, 0.3768490998859737, 0.3810491071391471, 0.3147249677169315, 0.3513509245029234], [1, 1, 1, 0, 1, 1, 1, 2, 1, 1, 1, 1]) dbO_d_4_3_8_nAdd_lr = ([0.34640148540661575, 0.37730617780974796, 0.33308682399856915, 0.36221322754189145, 0.35524008010706276, 0.31560723293586634, 0.34229515625087714, 0.36055297164688893, 0.3448948635619884, 0.4309833896886208, 0.4536786522293419, 0.392916896379915], [1, 1, 0, 3, 1, 0, 2, 1, 0, 7, 1, 2]) dbO_d_4_4_8_nAdd_lr = ([0.4258638755813837, 0.5341294747829508, 0.42118292685138914, 0.41869790837422194, 0.4379332399026956, 0.41815839721020476, 0.4541044276330066, 0.511166217856226, 0.5013402406835565, 0.4193960807565069, 0.44228040318964523, 0.4279482125456435], [0, 1, 1, 0, 1, 1, 1, 1, 0, 0, 1, 3]) dbO_d_3_5_8_nAdd_lr = ([0.39123716813099985, 0.41670575344787286, 0.3606823832621844, 0.4000442483332438, 0.4683782678592374, 0.4287554802841369, 0.41894225971444743, 0.5007320204395249, 0.41595708055228364, 0.4442715246707367, 0.3899429531629417, 0.4723910210067295], [0, 1, 1, 1, 1, 2, 1, 1, 1, 0, 0, 2]) dbO_d_2_6_8_nAdd_lr = ([0.4130797193096194, 0.41677335269491356, 0.43129440713979617, 0.37950503626544463, 0.43428160220575474, 0.42119568185599254, 0.3997779873848435, 0.4271176691349923, 0.4393320854709688, 0.4370334705255492, 0.38601866360449355, 0.404828484628301], [1, 1, 0, 1, 1, 1, 0, 0, 0, 4, 0, 0]) dbO_d_5_1_8_nAdd_sg = ([-41119439907743.625, -30347735574142.79, -16978390987891.32, 6517690347380.008, 6289167473354.805, -43941363545115.66, -3591175470358.375, -59842263949614.65, -47698379930760.625, -35546391315342.375, -23646761660069.047, -9707642831072.96], [0, 1, 0, 0, 4, 0, 1, 1, 1, 2, 0, 1]) dbO_d_5_2_8_nAdd_sg = ([1786184985258.336, -40656111626429.57, 15504662475465.023, -9468913858712.648, -18811308264081.97, 1512043933547.3906, -43858568141985.39, -44082433264286.58, -42073662039903.32, -23699771937009.67, -43889640611140.7, -27354917429873.28], [3, 0, 2, 0, 0, 1, 3, 1, 1, 1, 0, 0]) dbO_d_4_3_8_nAdd_sg = ([-16529408522910.242, -26836472085217.516, -6854685483078.055, 27205275357665.977, 5272564266080.023, -26990902116684.625, -12240184777535.945, 22148901730078.695, -55088035932398.984, 12537849058618.023, -48469238579157.61, -14141727993568.562], [2, 2, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0]) dbO_d_4_4_8_nAdd_sg = ([-8922722111106.555, 14471370962831.586, -46349380736738.9, -11297902141771.625, 17085741974751.414, -17044748633933.438, -18156733891715.297, -10572559763404.21, -17885302360607.688, -15642174704391.54, 13927219910838.273, 31411859626044.65], [2, 0, 0, 0, 0, 1, 2, 0, 0, 1, 0, 0]) dbO_d_3_5_8_nAdd_sg = ([54454669751230.42, 69605168633005.83, 9649608180707.23, 22630207702258.996, 19062498869348.73, 20457873678752.27, 22278216610266.035, 3536215002907.169, 9336962932337.203, 57105104083151.76, 6472850125541.884, 23059419756988.367], [0, 0, 1, 1, 0, 2, 0, 3, 1, 2, 2, 3]) dbO_d_2_6_8_nAdd_sg = ([-46064628874209.09, 7322942673452.8125, -28789289707725.836, -36022917676239.17, -51697891401092.05, -49918088193703.16, -61419548724169.516, 24718278284347.33, -9333705369846.438, -19930058761148.227, 3460368539327.422, -21516632060306.234], [1, 3, 0, 0, 0, 1, 3, 3, 2, 3, 0, 0]) dbO_d_5_1_8_nAdd_kr = ([0.3538825102927534, 0.3536689467268499, 0.4050737885240119, 0.3648558312674457, 0.3619369621212589, 0.32203435279732373, 0.32615673842645543, 0.40809659036044255, 0.3748134864018027, 0.37237024789989026, 0.324067280243318, 0.3334282699478779], [1, 0, 1, 0, 0, 0, 1, 2, 3, 0, 1, 0]) dbO_d_5_2_8_nAdd_kr = ([0.43071924042832177, 0.34724940780859037, 0.33045705812168347, 0.39012492081996597, 0.39226587839704874, 0.36698456950578406, 0.3838823048551345, 0.35072821905965057, 0.3854618122586684, 0.3495103074070458, 0.3415783141130122, 0.3745792988374217], [2, 2, 1, 0, 2, 1, 1, 1, 2, 0, 1, 3]) dbO_d_4_3_8_nAdd_kr = ([0.3926138564665489, 0.3651240694560456, 0.34268105767122825, 0.40947618512015116, 0.3681015799683285, 0.36947691978369157, 0.3464295698647957, 0.37628881940146885, 0.3511364582999872, 0.37531760564830874, 0.29253973875922257, 0.332087303658406], [2, 0, 3, 4, 1, 1, 1, 1, 0, 1, 1, 1]) dbO_d_4_4_8_nAdd_kr = ([0.3832838957670981, 0.44649227606019926, 0.4206968904566637, 0.4097231987029657, 0.44976229823062663, 0.4208028075728234, 0.46806092948153366, 0.43543054307329654, 0.35503710701587865, 0.39401647722963995, 0.411997864349426, 0.42259846065636775], [1, 1, 0, 3, 1, 0, 0, 1, 0, 1, 2, 0]) dbO_d_3_5_8_nAdd_kr = ([0.3919009814841572, 0.4167631604042712, 0.45000488632487845, 0.40223763872793583, 0.47079706294401835, 0.47180298956118305, 0.37517094224114445, 0.5176293421296474, 0.48011577748521606, 0.40685947925130894, 0.4017892300733361, 0.43470571226575383], [1, 0, 1, 1, 2, 0, 0, 0, 0, 1, 4, 1]) dbO_d_2_6_8_nAdd_kr = ([0.37304323521653293, 0.4230140404694913, 0.42003865903342086, 0.4022982112984437, 0.4363755116783812, 0.4114624140829941, 0.42642168570025074, 0.44340531286540874, 0.4528707343766418, 0.3486011717402886, 0.45213825402278074, 0.41325142377333335], [1, 0, 1, 0, 0, 1, 0, 1, 0, 2, 3, 0]) dbO_d_5_1_8_nAdd_sv = ([0.1265690830401104, 0.10068503254262484, 0.1116998503237091, 0.13399794658808017, 0.11209803105095684, 0.11611405330709734, 0.15111162364231212, 0.12174235777083686, 0.12241999870866482, 0.10799101100032893, 0.11866385077956287, 0.10582295719176804], [1, 1, 1, 1, 0, 0, 2, 0, 1, 1, 1, 0]) dbO_d_5_2_8_nAdd_sv = ([0.11694391156449313, 0.14144628748466237, 0.1316296162091678, 0.13008070929210758, 0.13024473484067955, 0.15423234395911656, 0.12289560898842022, 0.12482556764978192, 0.13349690242797363, 0.1298256884776915, 0.13995861250174635, 0.1308248958383721], [4, 1, 1, 1, 2, 0, 0, 5, 1, 1, 0, 0]) dbO_d_4_3_8_nAdd_sv = ([0.13431997276475516, 0.12994301330393399, 0.12196643646396532, 0.12637068093044912, 0.11448735149639344, 0.12910133432756454, 0.13894831565267884, 0.11209517711706296, 0.13927635739931576, 0.14852981503217866, 0.10288254096111993, 0.12281616935185025], [0, 1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 0]) dbO_d_4_4_8_nAdd_sv = ([0.16438455041975863, 0.15490382201004038, 0.15731330453903702, 0.16643046262865868, 0.1692121425802805, 0.15017514186276515, 0.15775620406217306, 0.16993539897538013, 0.16340516622682533, 0.15743171986155213, 0.1293437117126367, 0.16938844907945316], [2, 2, 1, 0, 0, 0, 0, 0, 2, 1, 1, 1]) dbO_d_3_5_8_nAdd_sv = ([0.1423431170203756, 0.16029132893373987, 0.12034456785154546, 0.15770088727735965, 0.17398139786853417, 0.16267862585409898, 0.12144127103936941, 0.162871021996852, 0.15726545905121359, 0.1492908309574813, 0.1770336070800579, 0.1437028454519581], [1, 1, 2, 0, 0, 1, 2, 4, 0, 2, 1, 4]) dbO_d_2_6_8_nAdd_sv = ([0.1604459268563615, 0.13680704540382205, 0.14264091582386496, 0.1445962701629836, 0.15489247882545387, 0.18392075384499995, 0.15796651355629676, 0.1597689851861993, 0.14687109366975515, 0.16315043203103674, 0.15286902876065567, 0.1716733749784537], [1, 1, 1, 0, 0, 2, 3, 3, 0, 2, 1, 1]) dbO_e_5_1_8_nAdd_lr = ([0.7085218557110045, 1.0362781844136217, 1.0279888984248964, 0.9887267994588748, 1.046022388665082, 1.0878895103271728, 1.041656503722125, 1.0994672868629658, 1.0171382628945673, 1.0649128872575433, 0.9933816432578292, 1.0824558192296185, 1.0556694550111618], [824, 0, 2, 0, 1, 0, 1, 0, 1, 1, 1, 0, 2]) dbO_e_5_2_8_nAdd_lr = ([0.7085218557110045, 1.0815172014240315, 1.0439828001808225, 1.0844839667858106, 1.1062829784611143, 1.03598837878095, 1.0540753108300507, 1.0911745999428757, 1.059460867128619, 1.0835794664119105, 1.0592040505119702, 1.0578076310953464, 1.0578568397920103], [824, 4, 2, 2, 1, 1, 0, 2, 0, 0, 2, 0, 1]) dbO_e_4_3_8_nAdd_lr = ([0.7085218557110045, 1.1126445180171471, 1.0079110986763193, 1.0677981465351056, 1.1133989143843013, 1.0661059316308894, 1.0777468319713384, 1.1220490141424166, 1.100601083721347, 1.036924446946018, 1.0899335643089794, 1.0605800107814132, 1.0563595096975926], [824, 3, 3, 3, 0, 0, 0, 1, 2, 1, 1, 0, 0]) dbO_e_4_4_8_nAdd_lr = ([0.7085218557110045, 1.1253861175794233, 1.1460266333071079, 1.147883286377582, 1.1210743255843512, 1.1485294382976403, 1.1194318004173978, 1.1011821098884331, 1.1340168208845565, 1.14273176409349, 1.1613119765000022, 1.1597041851229504, 1.1460774283281538], [824, 0, 2, 1, 0, 0, 0, 2, 1, 1, 3, 3, 0]) dbO_e_3_5_8_nAdd_lr = ([0.7085218557110045, 1.1046814716188857, 1.1519766777608194, 1.181829336759824, 1.141274218306389, 1.154429589038027, 1.123518003150626, 1.1176457746692419, 1.1065268558928953, 1.1825796620233562, 1.109552521369478, 1.1130933780565748, 1.1417655972069007], [824, 2, 2, 0, 1, 1, 1, 4, 0, 1, 1, 1, 1]) dbO_e_2_6_8_nAdd_lr = ([0.7085218557110045, 1.1181558363086312, 1.1203454731424125, 1.1442432302920034, 1.1331891070169149, 1.1659008476979889, 1.0913907176241746, 1.06779316165961, 1.1891588300256721, 1.1557348775991876, 1.118010360708992, 1.123708537666267, 1.1743935187430865], [824, 0, 0, 1, 1, 1, 2, 3, 1, 0, 1, 0, 1]) dbO_e_5_1_8_nAdd_sg = ([46536251493557.69, 57186489223962.88, 47978954841846.99, 25069020856190.133, 30900094995177.004, 72398367142590.38, 10341088294584.262, 55948953788419.305, 13914564263223.672, 31278441532407.48, 45458516198086.87, 9362123908481.277, 20044171494231.38], [824, 0, 0, 2, 3, 2, 1, 0, 2, 0, 1, 1, 1]) dbO_e_5_2_8_nAdd_sg = ([26698649697378.562, 61353270774953.695, 71701084188904.06, 48896373047129.0, 84407422651725.83, 38282117597490.89, 73524549635497.83, 38974523759436.56, 22166230604186.64, 49975989534544.24, 88944889021336.0, 56692016495662.016, 6617941314211.235], [824, 0, 2, 0, 0, 0, 0, 4, 1, 0, 5, 2, 1]) dbO_e_4_3_8_nAdd_sg = ([56728557099019.6, 69893559496880.35, 86292914653937.5, 72927262934507.83, 59312058254362.03, 40304893403493.13, 45475630923550.96, 66946115698099.53, 34254236704470.34, 62189421488378.695, 21700706790455.965, 54232419734712.21, 71602616341048.45], [824, 1, 2, 1, 0, 2, 2, 0, 2, 0, 1, 1, 0]) dbO_e_4_4_8_nAdd_sg = ([26712380006699.2, 25349540991004.848, 18479469494293.594, 7900577864857.8545, 41229040476296.95, 37723478089031.3, 60202549637879.88, 63266451156267.375, 84233164336142.34, 16698966984520.709, 74490683145483.02, 47772453709703.76, 28941696805539.992], [824, 0, 1, 1, 2, 0, 0, 0, 2, 0, 0, 1, 2]) dbO_e_3_5_8_nAdd_sg = ([17780051088653.797, 32657726812805.125, 52207696493505.93, 40765913391223.6, 77545923969468.78, 33428481088900.734, 69726149964171.95, 17059091371884.88, 13497711486649.416, 44766893072656.49, 73477963208377.0, 63885289196505.56, 44718890174931.55], [824, 0, 2, 2, 1, 0, 0, 1, 1, 3, 0, 1, 0]) dbO_e_2_6_8_nAdd_sg = ([54534510824983.586, 67913486674685.36, 15862208446098.498, 57082522795842.97, 49325722273056.28, 9250672559146.209, 51750118956201.36, 61529917465355.07, 46635567914634.65, 60501303422060.49, 45849332471205.28, 30228550191567.28, 90138840170602.5], [824, 4, 0, 0, 0, 2, 0, 3, 2, 1, 0, 1, 0]) dbO_e_5_1_8_nAdd_kr = ([0.7089279375546549, 1.0532841600340128, 1.0744743993696004, 1.0991492990192446, 1.056149809368822, 1.103380491569432, 1.08983567807638, 1.0845320972900292, 1.0857920546396422, 1.0762184668670995, 1.099514915150382, 1.0696174539694745, 1.0595041760400148], [824, 0, 1, 0, 1, 1, 0, 1, 1, 0, 1, 4, 1]) dbO_e_5_2_8_nAdd_kr = ([0.7089279375546549, 1.0555613144704703, 1.0995575282992358, 1.1421912909362923, 1.0797143999359835, 1.0685567190809195, 1.079791138364453, 1.0142916689759742, 1.0631609889330755, 1.1067097303029547, 1.1202360491947403, 1.0630001312974942, 1.0823346685073856], [824, 0, 2, 1, 0, 2, 1, 0, 1, 0, 0, 2, 0]) dbO_e_4_3_8_nAdd_kr = ([0.7089279375546549, 1.039210735136735, 1.077111536597441, 1.0728550083304795, 1.0763233047361398, 1.0502087217528466, 1.0927522765191828, 1.0196522768319578, 1.0541540134573522, 1.107940218302568, 1.08257778277982, 1.0560048093630647, 1.1002745669598504], [824, 1, 2, 0, 1, 0, 2, 1, 1, 1, 0, 0, 0]) dbO_e_4_4_8_nAdd_kr = ([0.7089279375546549, 1.1278228741015166, 1.1482680713315754, 1.1171244301636294, 1.0935813045220069, 1.2092649408456901, 1.1390596705527423, 1.1410641053470192, 1.130486094121617, 1.184058320871672, 1.0919799952970344, 1.1147841066383612, 1.1289959248605255], [824, 4, 2, 1, 0, 1, 1, 1, 2, 2, 1, 2, 1]) dbO_e_3_5_8_nAdd_kr = ([0.7089279375546549, 1.1323033013641455, 1.10373461393427, 1.065400444729951, 1.1103984712812451, 1.1000148197759323, 1.1540934248748065, 1.1166286618529389, 1.128860868174208, 1.1275740622529409, 1.1625526071014525, 1.0869927681323142, 1.116766688673792], [824, 1, 0, 1, 3, 1, 1, 2, 1, 1, 0, 3, 1]) dbO_e_2_6_8_nAdd_kr = ([0.7089279375546549, 1.128338083278034, 1.0664428394182057, 1.1159151550959305, 1.1751562325099962, 1.1482449176830438, 1.1302318038600612, 1.153640432328281, 1.1919594782708223, 1.171733111352122, 1.1032407776772768, 1.1150067038179927, 1.11974607997098], [824, 1, 1, 2, 2, 1, 0, 1, 1, 0, 1, 1, 1]) dbO_e_5_1_8_nAdd_sv = ([0.9806998148180447, 1.107463709378434, 1.0990313713165696, 1.1064242312454005, 1.1031541240101164, 1.1180185378647898, 1.105011600477228, 1.125260740369927, 1.119103936711845, 1.1052485551363382, 1.1023476037436173, 1.117060122738802, 1.101962358528365], [824, 1, 0, 3, 1, 1, 2, 1, 1, 0, 2, 0, 2]) dbO_e_5_2_8_nAdd_sv = ([0.9806998148180447, 1.1294661861756814, 1.1136548543350144, 1.1293261711418827, 1.1313003437187565, 1.0888414979821976, 1.1050384722765816, 1.1256031221723184, 1.1135904029994401, 1.1179249031112541, 1.1089234872295566, 1.0929595342972103, 1.1404319022951113], [824, 1, 1, 0, 0, 2, 3, 0, 0, 3, 0, 0, 0]) dbO_e_4_3_8_nAdd_sv = ([0.9806998148180447, 1.1024139084677234, 1.1328080686116888, 1.102669127676993, 1.0999199780933553, 1.1047967512719759, 1.1062990209556804, 1.1121114555324922, 1.1274940235028934, 1.1078094630363167, 1.100018341553163, 1.096192172498131, 1.0944746673429389], [824, 1, 0, 2, 1, 0, 0, 2, 1, 0, 0, 0, 1]) dbO_e_4_4_8_nAdd_sv = ([0.9806998148180447, 1.1490275899697702, 1.1364066834647124, 1.1265702565455404, 1.141721707698086, 1.171882366896304, 1.1245180770444394, 1.1476987458118633, 1.136191704029305, 1.1296452308063538, 1.1372636572406671, 1.121698517261394, 1.1530089637483403], [824, 2, 2, 0, 1, 1, 1, 3, 2, 1, 1, 1, 0]) dbO_e_3_5_8_nAdd_sv = ([0.9806998148180447, 1.1557736205930764, 1.1311442865996466, 1.1528823155283958, 1.1346511724819754, 1.156120775133236, 1.123844977506251, 1.1266372052094782, 1.1383355747118393, 1.141616660287026, 1.1330376225986327, 1.1229734332801833, 1.1375231206860805], [824, 0, 1, 1, 1, 1, 2, 0, 0, 0, 1, 1, 1]) dbO_e_2_6_8_nAdd_sv = ([0.9806998148180447, 1.1334133624597658, 1.137940472565742, 1.1460646383099813, 1.147664551448359, 1.1489369601206914, 1.145190728665598, 1.1589312182289173, 1.1271123720400287, 1.1337216736622537, 1.156410026322492, 1.1155705341845836, 1.1286022508834965], [824, 1, 0, 1, 1, 0, 1, 1, 2, 1, 1, 2, 0]) ## nAdL dbO_d_5_1_8_nAdL_lr = ([0.429605071645757, 0.3615347086297168, 0.3973982590397366, 0.3783625638025879, 0.3920220197410754, 0.4089887962515436, 0.44430615713671895, 0.3917675070718384, 0.390239773090718, 0.4257228015795437, 0.4100387327784477, 0.39525731958083454], [2, 1, 1, 1, 1, 2, 0, 0, 0, 0, 1, 2]) dbO_d_5_2_8_nAdL_lr = ([0.41832375796525423, 0.43566048334194096, 0.3670025185711637, 0.4105377678082721, 0.4422063825530832, 0.36105139009330844, 0.4484169070842611, 0.383707550074431, 0.4088342937379713, 0.413679547858394, 0.3635190783699219, 0.40401888312557543], [4, 0, 0, 0, 1, 1, 1, 1, 1, 2, 4, 1]) dbO_d_4_3_8_nAdL_lr = ([0.32706466776732157, 0.449100540607008, 0.3950418517091526, 0.3944561719267822, 0.4305612248377738, 0.4063766907592744, 0.3593955540600967, 0.41015861357704175, 0.40708602153328866, 0.4687217431680458, 0.414826049966068, 0.4042372077885815], [1, 1, 1, 0, 2, 1, 1, 1, 2, 2, 1, 2]) dbO_d_4_4_8_nAdL_lr = ([0.39057410910484924, 0.42922947871017725, 0.4086057899941181, 0.40077817945446326, 0.456398872999603, 0.4287954707504581, 0.44160405531121605, 0.4491213559777453, 0.44536783255019097, 0.46247166958220143, 0.41734663527682614, 0.467006753258015], [1, 0, 3, 2, 1, 0, 2, 1, 2, 0, 0, 0]) dbO_d_3_5_8_nAdL_lr = ([0.4482729597919116, 0.3906692317235093, 0.4626606884978445, 0.42698676235460475, 0.4541327205495965, 0.4576675387253756, 0.40303937847930216, 0.4345971173825399, 0.42582996352963376, 0.428132251758356, 0.4289746816413956, 0.39030078796207246], [0, 0, 3, 2, 2, 2, 1, 1, 3, 0, 1, 0]) dbO_d_2_6_8_nAdL_lr = ([0.37179261413065234, 0.425633087348804, 0.43683388696362313, 0.4095414276158015, 0.47067492404901035, 0.38631049025566166, 0.4189753738863836, 0.43851575501553597, 0.4155530175354488, 0.41797273326126805, 0.42427080078189017, 0.4617125370223313], [0, 0, 2, 0, 1, 5, 0, 0, 0, 2, 0, 0]) dbO_d_5_1_8_nAdL_sg = ([-23039241000861.242, -3210558449041.633, -20562409818667.312, -44761192928551.88, -42991110745910.45, -7400481141719.75, 14070660000695.445, 3051186214327.164, -14731001290337.078, 11288477903214.414, -63295589165492.44, -57377357211080.23], [0, 1, 0, 0, 2, 1, 1, 3, 0, 0, 2, 0]) dbO_d_5_2_8_nAdL_sg = ([36249798245887.92, 49075341744445.516, 47215695185923.42, 6160120418596.65, 22999676209741.316, 22578248239138.895, 30103958855723.56, 1684357344842.791, 60610130115774.25, 69679946409498.984, 30944484126962.69, 69191747492736.06], [1, 1, 2, 1, 2, 0, 2, 0, 0, 1, 0, 5]) dbO_d_4_3_8_nAdL_sg = ([21822563284120.375, -10767753748670.191, 12243134687591.547, -25627332369377.516, 4043325927522.8047, 38391932648936.87, -26624783547128.35, -12687205502709.047, -6838817762359.398, -25636148664298.727, -26613808362752.492, -31478955834771.676], [2, 0, 2, 0, 2, 0, 1, 2, 0, 3, 0, 1]) dbO_d_4_4_8_nAdL_sg = ([-8126100582040.477, -40922796131206.414, 21083548953346.21, -42151068380145.26, -19516376436593.758, -44481021752479.54, -24188769413802.246, -20030656472487.4, -32257362203023.44, -19459175846007.92, -18768011293193.484, -44649098639601.34], [1, 0, 1, 5, 1, 2, 2, 0, 2, 1, 2, 1]) dbO_d_3_5_8_nAdL_sg = ([27368728570023.68, -18345089030677.906, 20735171535849.4, -11084850520064.39, -28115264585505.29, -27512139947299.64, -16510631817100.574, -7679966272419.836, -1824815731218.8438, -37463206764888.72, -14268302181655.328, -21706438120450.363], [0, 3, 5, 0, 1, 0, 0, 0, 2, 1, 0, 1]) dbO_d_2_6_8_nAdL_sg = ([11102682510009.367, 23503215282423.086, 5121436504322.922, -22640525395586.777, 1614404488306.3672, -14752281339064.172, -10387556199436.133, -34229649758091.12, 10785676658806.273, -21456888717215.105, -24899536700913.824, -35213827130857.77], [2, 1, 2, 2, 3, 1, 0, 0, 0, 0, 1, 2]) dbO_d_5_1_8_nAdL_kr = ([0.3630165255714245, 0.4123075377611273, 0.39579781236547096, 0.41366817997614824, 0.4617644072117214, 0.37219522244867165, 0.34699768124407127, 0.40533455708676647, 0.35341476378638903, 0.3874711502663414, 0.4164012651055412, 0.41665871067527627], [0, 2, 1, 0, 1, 1, 1, 1, 1, 1, 0, 0]) dbO_d_5_2_8_nAdL_kr = ([0.41707004470213327, 0.3634663795827707, 0.43780058894567364, 0.3924784868918455, 0.39190413377619804, 0.365501555277037, 0.3703976574130877, 0.3880093002421815, 0.41370512112788027, 0.3276809704151974, 0.41516400362671024, 0.3730138680218392], [0, 1, 0, 3, 0, 2, 0, 1, 2, 0, 0, 0]) dbO_d_4_3_8_nAdL_kr = ([0.37772093292471165, 0.37174705301592426, 0.3623309429783478, 0.3735297793280957, 0.35051693615196233, 0.42207633672901645, 0.35042888947954987, 0.41420416386328507, 0.3671419357425175, 0.37718024315744636, 0.38981676012551947, 0.382276227432775], [1, 0, 2, 0, 0, 1, 1, 0, 3, 2, 2, 0]) dbO_d_4_4_8_nAdL_kr = ([0.430250829368818, 0.4275751908085147, 0.3981244198155304, 0.40940593531402325, 0.35588025706008597, 0.3920213558986284, 0.3487660951166073, 0.40442577044499395, 0.3936503496686937, 0.46978310712975213, 0.36561230072109663, 0.4136992279878654], [1, 3, 0, 3, 1, 2, 1, 0, 0, 1, 1, 1]) dbO_d_3_5_8_nAdL_kr = ([0.4428536605791339, 0.4034392470565519, 0.4478306604194261, 0.43487463372030544, 0.4096219329291092, 0.3985352239551342, 0.4646642275359273, 0.4062315443333443, 0.4874055697822649, 0.39163839482081275, 0.43329402100162084, 0.40300892717723114], [1, 0, 1, 0, 0, 1, 0, 1, 0, 0, 1, 3]) dbO_d_2_6_8_nAdL_kr = ([0.41523320559821897, 0.4267344218942831, 0.4240955274612871, 0.44055376184915473, 0.38578728378820715, 0.41155848369430814, 0.4060383413887999, 0.38594434804928135, 0.4036961245638163, 0.4925128486384459, 0.4246067139429376, 0.4822498503433793], [1, 4, 0, 1, 1, 1, 2, 1, 0, 1, 1, 1]) dbO_d_5_1_8_nAdL_sv = ([0.12913488646889948, 0.14226254284624407, 0.1470925157430596, 0.1296174259461258, 0.14592763978477508, 0.13316481033429795, 0.13000617747412746, 0.12287182430635823, 0.14946497188706798, 0.13819591447576052, 0.14228378150256216, 0.14865223039451614], [2, 1, 0, 2, 0, 2, 3, 0, 0, 0, 1, 2]) dbO_d_5_2_8_nAdL_sv = ([0.16837833498349908, 0.14443186768665517, 0.14777038540768817, 0.14863502037007348, 0.16787882978085467, 0.1274949982992717, 0.14164085927680858, 0.159515563364661, 0.13077140030400614, 0.14910967623935711, 0.1256825398093968, 0.14090678198484574], [0, 2, 1, 1, 3, 3, 0, 0, 1, 0, 0, 2]) dbO_d_4_3_8_nAdL_sv = ([0.13721150289987505, 0.15442562236529156, 0.14976485561417308, 0.13649805612710786, 0.13213182381509947, 0.1432853826124343, 0.1331806329981644, 0.13247350801299795, 0.14831273274547918, 0.1583684972772783, 0.180996485112219, 0.1638998941783265], [2, 2, 1, 2, 1, 1, 0, 1, 0, 2, 1, 0]) dbO_d_4_4_8_nAdL_sv = ([0.16206303598198502, 0.14002477770966704, 0.16220532923483688, 0.15247175659588752, 0.20063290216035323, 0.1655797285671221, 0.14854954545483356, 0.13927909419230144, 0.1584373061106028, 0.17343869594627193, 0.18561561919598768, 0.1571669339621411], [3, 2, 0, 5, 3, 0, 2, 1, 1, 1, 0, 0]) dbO_d_3_5_8_nAdL_sv = ([0.19925714466597633, 0.15174668798310775, 0.1671827645449926, 0.1486779208040374, 0.1502778396035227, 0.13776302992994305, 0.1857687485214976, 0.14084826293790376, 0.17342645361147047, 0.1806682465291798, 0.1704639913181034, 0.16516318408760577], [1, 1, 3, 0, 1, 2, 2, 1, 1, 1, 0, 0]) dbO_d_2_6_8_nAdL_sv = ([0.17751173622170113, 0.17176686978778766, 0.17233155710407377, 0.15763531271493214, 0.19262120162943686, 0.14667614748397795, 0.17524313730751984, 0.17100823944369248, 0.14271349691724522, 0.1583571039517231, 0.1529598092421205, 0.17032420770741785], [0, 1, 3, 1, 1, 0, 2, 1, 2, 0, 1, 0]) dbO_e_5_1_8_nAdL_lr = ([0.7087024769930955, 1.1298997885968756, 1.031362192193314, 1.127136602849507, 1.0820827900107288, 1.119345103410429, 1.084160424111469, 1.0989879590723528, 1.122719104454508, 1.0897276533942342, 1.1098208318135034, 1.0971441723394983, 1.1391693059021124], [824, 2, 0, 2, 2, 0, 1, 2, 0, 1, 2, 2, 1]) dbO_e_5_2_8_nAdL_lr = ([0.7087024769930955, 1.0750168221904322, 1.1266638775557989, 1.1010850899163365, 1.0584928709119352, 1.1071021327228792, 1.0858501565007472, 1.1386515741521561, 1.1058901165501915, 1.0578664122820354, 1.057231333871477, 1.0808371956782268, 1.1749313776544354], [824, 3, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 3]) dbO_e_4_3_8_nAdL_lr = ([0.7087024769930955, 1.1144707434208656, 1.0439798525505064, 1.0659522183990977, 1.0990051544000448, 1.0578868914573196, 1.1188689104883967, 1.0870680464308573, 1.070769172551594, 1.1341413240953901, 1.1131426067488281, 1.1225225827739425, 1.003366338291382], [824, 5, 2, 2, 2, 0, 1, 0, 1, 1, 3, 0, 0]) dbO_e_4_4_8_nAdL_lr = ([0.7087024769930955, 1.0749471289690171, 1.1302549910053739, 1.1546783932803268, 1.0962372619272602, 1.1346722816711978, 1.097777491676551, 1.1450708919377055, 1.135830159171899, 1.133936883626039, 1.106835085232686, 1.1208709812245643, 1.1051095871196204], [824, 0, 2, 1, 1, 2, 1, 2, 0, 3, 0, 1, 1]) dbO_e_3_5_8_nAdL_lr = ([0.7087024769930955, 1.1198635120177791, 1.1510248219039192, 1.1206851042658053, 1.1291939703479328, 1.1408702931712447, 1.128561808458699, 1.179984927781273, 1.1000738353178472, 1.0772629587510072, 1.2004200822895001, 1.1278942279207527, 1.1288208847630827], [824, 2, 2, 1, 1, 2, 0, 2, 1, 0, 2, 1, 1]) dbO_e_2_6_8_nAdL_lr = ([0.7087024769930955, 1.0908965983432202, 1.1062794202431083, 1.1038283234985231, 1.159769209809251, 1.1615113741460152, 1.2090105981547778, 1.142148565726938, 1.0921480815587101, 1.0966909163991743, 1.170963766938361, 1.1651800451515826, 1.1909712315136394], [824, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 0]) dbO_e_5_1_8_nAdL_sg = ([13387647083244.822, 22215213947395.98, 65682882502403.625, 54377379415048.4, 73165265963009.25, 11404019897817.732, 51930771188845.87, 82870647661006.78, 16815124285273.223, 25378442217326.48, 6922185161041.29, 52447057491213.07, 55908042509837.87], [824, 0, 0, 1, 0, 0, 0, 1, 1, 1, 1, 3, 0]) dbO_e_5_2_8_nAdL_sg = ([66858388960286.2, 80913517524119.19, 11071009750670.11, 59919031410037.77, 32636112486684.797, 34246114018524.367, 71913731350192.98, 28347426915112.406, 70314123329274.05, 38880425669919.27, 71666242000722.7, 54690923282298.97, 6857180630392.525], [824, 0, 0, 1, 1, 3, 1, 1, 0, 2, 0, 2, 1]) dbO_e_4_3_8_nAdL_sg = ([14983462937252.033, 38498892380326.32, 9081282420869.744, 50626334664524.055, 78140340636865.66, 21753481772022.73, 16195407620836.143, 21812116550833.977, 50208471539206.71, 58299782261998.4, 53822017605453.05, 22093158647627.5, 72722401650572.16], [824, 0, 1, 2, 1, 2, 1, 1, 0, 2, 2, 0, 0]) dbO_e_4_4_8_nAdL_sg = ([37189490671659.97, 81243919426250.62, 15711935366958.04, 10996257199963.682, 30706820632408.574, 59346216142422.57, 29504261837960.145, 60077845386019.33, 32821993374018.477, 8356803656455.636, 61884456481211.375, 15671687800720.887, 6253241083144.19], [824, 2, 1, 1, 2, 3, 2, 0, 1, 0, 0, 0, 0]) dbO_e_3_5_8_nAdL_sg = ([26275759410559.34, 14372242658960.13, 16549780509529.758, 47067606181280.89, 15297598820663.691, 5034717657794.437, 52676572140661.695, 5551560380940.959, 15473569319119.094, 10558765761516.812, 65845623816299.516, 20530203547311.17, 89319978922482.5], [824, 0, 0, 1, 0, 0, 0, 2, 1, 0, 0, 0, 2]) dbO_e_2_6_8_nAdL_sg = ([74061635680554.66, 67850840864728.21, 21898911124146.926, 68757295339755.29, 12429272138583.496, 29248044904651.445, 12110679473051.129, 63574468314559.945, 9307783136592.633, 6350103535187.341, 62203024359009.95, 6343998361636.829, 34598975611926.098], [824, 2, 1, 1, 1, 0, 1, 1, 0, 1, 2, 1, 2]) dbO_e_5_1_8_nAdL_kr = ([0.709122435618465, 1.124787855664216, 1.099370561262361, 1.137777411390247, 1.0605649339011844, 1.094976659566507, 1.1180145985674816, 1.156587907580823, 1.1543450150460528, 1.1719029014721771, 1.0767499291718894, 1.1218697531001762, 1.0612497060797526], [824, 2, 2, 3, 0, 0, 2, 1, 0, 2, 1, 0, 1]) dbO_e_5_2_8_nAdL_kr = ([0.709122435618465, 1.0974074678071897, 1.1116619222090567, 1.1701203753659966, 1.0617630215735494, 1.1415734481491449, 1.087962415438974, 1.1170401519651543, 1.135401779328633, 1.0892895488269905, 1.099227229176281, 1.0796058456753417, 1.1357434764158871], [824, 1, 0, 3, 0, 0, 1, 0, 0, 0, 3, 2, 1]) dbO_e_4_3_8_nAdL_kr = ([0.709122435618465, 1.0391466128546465, 1.119538990466215, 1.080995112567145, 1.088315535121409, 1.0781484091792204, 1.1318580413906996, 1.1249598651213353, 1.0836388084772968, 1.0870649696584511, 1.1225379941601767, 1.086043833174557, 1.0937843394290518], [824, 0, 0, 2, 1, 0, 3, 3, 2, 2, 1, 1, 0]) dbO_e_4_4_8_nAdL_kr = ([0.709122435618465, 1.1429030868438188, 1.1367200155019799, 1.1878027188741906, 1.1838318044389824, 1.1028240074229099, 1.133759390261871, 1.1310062852494414, 1.1371091444666157, 1.1440693881581865, 1.160316611428481, 1.1184810738825601, 1.1477943175573257], [824, 1, 1, 0, 0, 1, 2, 4, 0, 2, 2, 0, 0]) dbO_e_3_5_8_nAdL_kr = ([0.709122435618465, 1.0860441925671844, 1.1000372548409383, 1.1112569232679865, 1.1082705498579926, 1.0742660417451277, 1.1335589608220027, 1.1750067203826786, 1.135505483738419, 1.2013398023642343, 1.1530798454236089, 1.1442840587948435, 1.077466877861614], [824, 0, 4, 0, 1, 0, 1, 2, 1, 0, 4, 0, 2]) dbO_e_2_6_8_nAdL_kr = ([0.709122435618465, 1.0583226965514323, 1.1560929860420834, 1.1394477465647586, 1.159376474245476, 1.2011126633630438, 1.1320694714739024, 1.1164688172236878, 1.0659769114749842, 1.1197506844922323, 1.1616860717768023, 1.2085922681550605, 1.1236146335562032], [824, 0, 1, 2, 1, 0, 0, 0, 2, 2, 1, 1, 1]) dbO_e_5_1_8_nAdL_sv = ([0.9743404337836312, 1.0954680223735118, 1.1081724667438693, 1.1110299752491564, 1.0970505423928956, 1.095531717578729, 1.1126120537854134, 1.1224242358857832, 1.1105360206047992, 1.102730620032225, 1.118270281202066, 1.123997387514752, 1.124372146760863], [824, 1, 0, 1, 1, 2, 1, 2, 1, 0, 0, 1, 2]) dbO_e_5_2_8_nAdL_sv = ([0.9743404337836312, 1.1092987106525243, 1.1176603670757135, 1.12976572874712, 1.1100751899995682, 1.110514010266318, 1.1171382380684198, 1.1232278246411926, 1.1239261287105884, 1.105246399303858, 1.1255933691575362, 1.0956864312226404, 1.1123285040820339], [824, 3, 1, 0, 1, 1, 1, 0, 1, 0, 0, 1, 0]) dbO_e_4_3_8_nAdL_sv = ([0.9743404337836312, 1.1324044496041612, 1.1356974744577144, 1.1182815324606226, 1.0991971166612688, 1.0758929346232864, 1.1178892657925708, 1.1361397296381768, 1.1285473428061228, 1.116306012841804, 1.1224520559938351, 1.1240601913419195, 1.1198768149041742], [824, 0, 3, 2, 1, 1, 2, 3, 1, 1, 0, 1, 3]) dbO_e_4_4_8_nAdL_sv = ([0.9743404337836312, 1.1283728400612523, 1.1626640746905208, 1.1270175090289845, 1.1324599405646423, 1.1439229742024695, 1.127726228449513, 1.1446691498907196, 1.1385087579522948, 1.130918865034999, 1.1669584765901013, 1.1423854492949854, 1.1276793851189963], [824, 1, 1, 0, 1, 1, 0, 1, 0, 0, 2, 2, 3]) dbO_e_3_5_8_nAdL_sv = ([0.9743404337836312, 1.133401801738899, 1.130846285278532, 1.1376091448377863, 1.148221738929824, 1.1440742619525917, 1.165411884063531, 1.1274386369604528, 1.141863659501311, 1.1400219603310349, 1.1415626551090725, 1.153843474614013, 1.1449570255598636], [824, 1, 0, 1, 2, 1, 2, 0, 0, 1, 1, 0, 0]) dbO_e_2_6_8_nAdL_sv = ([0.9743404337836312, 1.142050992389333, 1.1292607092050648, 1.1610902242405743, 1.127987614363108, 1.1511895405052834, 1.12803761915195, 1.1142093041142245, 1.1451911485787463, 1.131066671299665, 1.125059906782025, 1.1661293923306282, 1.139475050604385], [824, 0, 1, 0, 0, 1, 2, 2, 0, 1, 1, 1, 0]) ## NMF dbO_d_5_1_8_nmf_lr = ([0.3690714033501582, 0.4608941550836875, 0.3938744319720616, 0.012227377084461755, 0.037566110099793715, 0.031026171414561654, 0.04841441489684095], [1, 1, 2, 227, 256, 225, 260]) dbO_d_5_2_8_nmf_lr = ([0.6004946767532863, 0.6362501982525753, 0.4588870503885266, 0.5059656228322863, 0.018058661331976755, 0.008394190918651012, 0.01139445504516956], [2, 3, 5, 15, 177, 328, 313]) dbO_d_4_3_8_nmf_lr = ([0.3567048678964352, 0.5509063653124963, 0.3286928864436235, 0.2437862363280784, 0.20067043227923098, 0.006587344262082961, 0.006151271412200732], [6, 3, 4, 11, 82, 341, 340]) dbO_d_4_4_8_nmf_lr = ([0.39134433923631684, 0.4632828146843554, 0.529944075509237, 0.3213621051718728, 0.27254718704466463, 0.20741841988061183, 0.001530967382510906], [2, 0, 7, 16, 51, 220, 732]) dbO_d_3_5_8_nmf_lr = ([0.560410441573349, 0.5417722054667614, 0.43956673823924464, 0.45553033273763643, 0.3753982416839189, 0.31969802856399643, -0.00028489970052636426], [3, 0, 4, 13, 35, 142, 746]) dbO_d_2_6_8_nmf_lr = ([0.4659715408797066, 0.5731803964198475, 1.179515288659713, 0.8184071670308773, 0.33815880956704636, 0.2701707139170526, 0.0007749523127611457], [6, 2, 2, 8, 42, 154, 749]) dbO_d_5_1_8_nmf_sg = ([47443256573258.3, -16194783226913.992, 29489753366757.785, 73611348612106.2, 38573992384285.42, -11543974527813.057, 50790651960147.83], [2, 1, 2, 241, 255, 250, 252]) dbO_d_5_2_8_nmf_sg = ([29822978963107.3, 15739965539845.05, 1605281797398.9336, 8211169311293.449, -23911674158106.07, 52916614247858.766, 44225599789064.08], [2, 3, 5, 14, 172, 330, 319]) dbO_d_4_3_8_nmf_sg = ([-68606393473071.94, -67288106053445.58, -28337467885372.234, -43349267817482.97, -51196538890314.25, -15302479203514.688, -70999859669945.52], [6, 2, 4, 12, 78, 340, 343]) dbO_d_4_4_8_nmf_sg = ([18798424390308.176, 39012059397160.81, 12583239079995.074, -18217409120001.984, 8885110102616.543, 51136012356198.19, -7224969949975.453], [2, 2, 7, 15, 49, 227, 726]) dbO_d_3_5_8_nmf_sg = ([-14695351272870.273, -16940311136669.438, -41796167533608.45, 44555509460998.1, -23508861753743.824, -23826580244185.773, -38499698836266.84], [3, 0, 4, 13, 36, 130, 749]) dbO_d_2_6_8_nmf_sg = ([49493938158937.52, 29714360771225.08, 3742709656918.717, 42751190628667.164, -4685570481113.811, 10828811551098.588, 36869835286530.664], [5, 2, 2, 20, 42, 153, 754]) dbO_d_5_1_8_nmf_kr = ([0.3804458848963249, 0.41241119998790643, 0.47138671581677405, 0.022288244546323055, 0.03272364413332507, 0.018014657344996188, 0.019340469138040106], [2, 0, 1, 214, 263, 237, 260]) dbO_d_5_2_8_nmf_kr = ([0.5949617129154531, 0.5802727736294021, 0.4478834293246917, 0.48507956193277335, 0.009050054221488857, 0.0016018103654547033, -0.00384814495733532], [2, 3, 7, 16, 204, 328, 324]) dbO_d_4_3_8_nmf_kr = ([0.3512610119242777, 0.4641057061688344, 0.3232738739251627, 0.22241065453847852, 0.20593500403027876, 0.0013918398510628371, 0.0009866292254263609], [6, 2, 4, 12, 83, 340, 340]) dbO_d_4_4_8_nmf_kr = ([0.38902427289520636, 0.46294633458559076, 0.5266217887141692, 0.3175736406680244, 0.27311438235190033, 0.1985399307298028, 0.0005893757549729761], [2, 0, 7, 17, 44, 215, 733]) dbO_d_3_5_8_nmf_kr = ([0.5396756243025999, 0.5432056989916122, 0.4448622372642773, 0.4569785558996563, 0.3558421877525467, 0.3059760420166159, 0.0005257247998939896], [3, 0, 4, 13, 36, 138, 747]) dbO_d_2_6_8_nmf_kr = ([0.45652595054123324, 0.5572164979026327, 1.1137718248733743, 0.3299987453397658, 0.3180435473199775, 0.24289691138852676, 0.00031744599148531005], [6, 2, 2, 20, 42, 151, 747]) dbO_d_5_1_8_nmf_sv = ([0.14560977646943973, 0.17044707347020194, 0.0976784737671248, 0.013946189911841378, 0.013482100064748481, 0.018727601822122186, 0.016886452908027483], [3, 0, 2, 237, 259, 257, 255]) dbO_d_5_2_8_nmf_sv = ([0.1620928913057098, 0.1485123940826416, 0.14488255737479983, 0.13726552515830415, 0.031710174882160214, 0.006540055010777812, 0.0003231739042358628], [2, 3, 5, 15, 182, 322, 329]) dbO_d_4_3_8_nmf_sv = ([0.1477616562052657, 0.1628954758411627, 0.12054758345907568, 0.10666504984510339, 0.08620250823003417, -0.0016651836234393702, 0.005804345966659019], [6, 3, 4, 11, 83, 338, 341]) dbO_d_4_4_8_nmf_sv = ([0.15798586836717932, 0.20835050448698844, 0.17308878888773127, 0.11068255355436252, 0.08389670231721102, 0.08349678887408407, 0.000726223872579923], [2, 0, 7, 15, 48, 226, 727]) dbO_d_3_5_8_nmf_sv = ([0.1857005680610022, 0.19059285747971755, 0.09083876732482454, 0.10337018506511497, 0.10470025393297155, 0.0612280506131726, -0.001185474154514199], [3, 0, 4, 13, 33, 130, 751]) dbO_d_2_6_8_nmf_sv = ([0.15298011419176527, 0.1834131563343615, 0.14543567137711966, 0.08214047490989596, 0.09566984745721085, 0.048888679134896806, -0.0005162838711649798], [5, 2, 2, 21, 42, 155, 749]) dbO_e_5_1_8_nmf_lr = ([0.7087024769930955, 1.0623549167425845, 1.1515052386915905, 1.012377362534915, 0.7407884249127448, 0.7341229929982416, 0.7407117027139781, 0.7397791883880113], [824, 2, 1, 3, 243, 260, 246, 255]) dbO_e_5_2_8_nmf_lr = ([0.7087024769930955, 1.3069693548010983, 1.3467329401990322, 1.1567209316356275, 1.2264467419963698, 0.7241701587620191, 0.7046731181668837, 0.7169326059050217], [824, 2, 3, 5, 18, 176, 330, 332]) dbO_e_4_3_8_nmf_lr = ([0.7087024769930955, 1.0839855677094787, 1.1687417153394657, 1.04003722860863, 0.9225660477135603, 0.9136708497437341, 0.7116760466488021, 0.7090713169795463], [824, 6, 2, 4, 13, 80, 342, 340]) dbO_e_4_4_8_nmf_lr = ([0.7087024769930955, 1.0999756108108383, 1.2631191590735649, 1.238812221331814, 1.0295025491028948, 0.9769746039720741, 0.9125445949171416, 0.7115325744667562], [824, 2, 2, 7, 13, 49, 221, 719]) dbO_e_3_5_8_nmf_lr = ([0.7087024769930955, 1.2697043947779705, 1.2566187211701767, 1.1560023012971088, 1.165402706838061, 1.079078399268901, 1.0256998333907226, 0.7078398646977148], [824, 3, 0, 4, 12, 33, 138, 743]) dbO_e_2_6_8_nmf_lr = ([0.7087024769930955, 1.1699373417130423, 1.2625977906510333, 1.8882177656528085, 1.1072821615955248, 1.0443316066497428, 0.978807809513409, 0.7078756234380542], [824, 5, 2, 2, 21, 42, 153, 748]) dbO_e_5_1_8_nmf_sg = ([84416185268804.38, 31098082628171.977, 18890867651134.945, 40312826433019.34, 80696568980711.67, 74189346455483.22, 24931604255460.773, 44592425149071.52], [824, 2, 0, 1, 257, 257, 235, 258]) dbO_e_5_2_8_nmf_sg = ([6704960011057.829, 58593550212966.28, 54592043119695.91, 21232526611249.066, 28615271716453.508, 56429622935005.41, 44018262605200.72, 30956541188721.934], [824, 2, 3, 5, 16, 178, 326, 327]) dbO_e_4_3_8_nmf_sg = ([17781585295235.504, 12445581419136.566, 63223551132498.945, 26988630273278.08, 73723950478438.67, 65887529097341.56, 66093156370765.65, 81071349479940.22], [824, 6, 2, 4, 12, 79, 341, 342]) dbO_e_4_4_8_nmf_sg = ([78075772227111.33, 28657889366214.36, 75676562774397.75, 70772011890592.62, 81100245305062.53, 17668915781811.113, 84408921294267.42, 25128280032205.332], [824, 2, 2, 7, 13, 51, 214, 732]) dbO_e_3_5_8_nmf_sg = ([51580432186865.77, 8486742575198.479, 24707370541338.402, 58102170741015.77, 20117112466223.062, 33343505351934.285, 86329806064358.67, 80399284364902.56], [824, 3, 0, 4, 12, 35, 142, 743]) dbO_e_2_6_8_nmf_sg = ([55410719779040.45, 26287066958636.234, 14480191067582.348, 34366525344338.184, 55847959005003.09, 30124894155388.234, 29617187371007.527, 45908252222398.23], [824, 5, 2, 2, 8, 41, 154, 751]) dbO_e_5_1_8_nmf_kr = ([0.709122435618465, 1.10904630064308, 1.1055224740255332, 1.1222465461327191, 0.7512658552296052, 0.7207881500449658, 0.7321315161329595, 0.7264281410554899], [824, 2, 0, 1, 229, 242, 256, 257]) dbO_e_5_2_8_nmf_kr = ([0.709122435618465, 1.3283207601009177, 1.2894099018778584, 1.1426497498229609, 1.1955778083240343, 0.72389316981778, 0.7107955331049306, 0.7097346295709922], [824, 2, 3, 5, 16, 182, 328, 330]) dbO_e_4_3_8_nmf_kr = ([0.709122435618465, 1.0603834475427427, 1.1732281417872994, 1.0355518018820256, 0.9363724612390333, 0.9095302379928326, 0.7117422533528348, 0.7108834931254363], [824, 6, 2, 4, 12, 82, 340, 340]) dbO_e_4_4_8_nmf_kr = ([0.709122435618465, 1.1004724105913013, 1.2574251644796823, 1.2373204498285935, 1.025660287120135, 0.9628422100722183, 0.9025900942981646, 0.7111154499283752], [824, 2, 2, 7, 15, 42, 223, 734]) dbO_e_3_5_8_nmf_kr = ([0.709122435618465, 1.2475543915981844, 1.253309944384911, 1.1366931116884298, 1.1649178218842715, 1.0645760710067909, 1.0168750045393105, 0.7092302144792951], [824, 3, 0, 4, 13, 35, 135, 728]) dbO_e_2_6_8_nmf_kr = ([0.709122435618465, 1.160273754052843, 1.2614309077650636, 1.8198534414476288, 1.0946871703590486, 1.0271659829384425, 0.9570368757600121, 0.7086412681782048], [824, 7, 2, 2, 20, 42, 152, 748]) dbO_e_5_1_8_nmf_sv = ([0.9743404337836312, 1.1244522923852418, 1.1472895255542765, 1.0692341968352463, 1.0011473400878552, 0.989961942918291, 0.991175150200366, 0.9857775099527204], [824, 2, 0, 2, 236, 253, 256, 256]) dbO_e_5_2_8_nmf_sv = ([0.9743404337836312, 1.1364339303187145, 1.1225740377718014, 1.1195956317823936, 1.1106385711822717, 0.9972467706094461, 0.9862841373092401, 0.9750423507289321], [824, 2, 3, 5, 16, 180, 328, 323]) dbO_e_4_3_8_nmf_sv = ([0.9743404337836312, 1.1226952889875461, 1.137194189048438, 1.0928333746332837, 1.077217283525468, 1.061052975359908, 0.9716553163407488, 0.9725826657831848], [824, 6, 3, 4, 10, 87, 341, 342]) dbO_e_4_4_8_nmf_sv = ([0.9743404337836312, 1.1323423866903801, 1.1822537255279124, 1.1481828395868194, 1.0815466039938626, 1.0602466399090902, 1.0567189931361656, 0.9749355834471045], [824, 2, 0, 7, 15, 52, 223, 731]) dbO_e_3_5_8_nmf_sv = ([0.9743404337836312, 1.1600410018446334, 1.1662709750400864, 1.0648241160053915, 1.0797077749867086, 1.0822921376178427, 1.042053058911121, 0.9747281808801749], [824, 3, 0, 4, 13, 35, 135, 745]) dbO_e_2_6_8_nmf_sv = ([0.9743404337836312, 1.1315432396657021, 1.1649649377482862, 1.118922498658775, 1.0586673474223878, 1.0713396094507144, 1.0262411272296612, 0.9728591395774161], [824, 8, 2, 2, 20, 41, 152, 750]) dbO_d_5_1_8_svd_lr = ([0.32838630626324383, 0.24010926803172628, 0.4362308224114987, 0.001781940229069523, 0.016391172011019695, 0.016391172011019695, 0.016391172011019695], [19, 33, 34, 262, 259, 259, 259]) dbO_d_5_2_8_svd_lr = ([0.4197237976917726, 0.4428321247527828, 0.1144583984148907, 0.05085604313037917, 0.007135498840469934, -0.0013405739955371088, -0.0013405739955371088], [2, 4, 161, 232, 328, 330, 330]) dbO_d_4_3_8_svd_lr = ([0.4797327483630732, 0.38282496894906093, 0.25142794032967086, 0.1473321198806049, 0.2189420071529392, 0.0023995662862315026, 0.0023995662862315026], [1, 3, 40, 61, 85, 342, 342]) dbO_d_4_4_8_svd_lr = ([0.4158619343514601, 0.40520294377372246, 0.3973026709423423, 0.34130246387425067, 0.13741321530301964, 0.18891889625981684, 0.0002740990260836629], [2, 2, 9, 75, 162, 226, 733]) dbO_d_3_5_8_svd_lr = ([0.4002470143605078, 0.41508625299212676, 0.41890807056427726, 0.38442901751860215, 0.4330526729598244, 0.14062362367315318, -0.0001475960235819418], [2, 4, 5, 10, 33, 255, 747]) dbO_d_2_6_8_svd_lr = ([0.4116702299023073, 0.46633777490385386, 0.38244404768830875, 0.4542257259196151, 0.40448127219621977, 0.1454374668399272, -2.4500630740553753e-05], [2, 5, 7, 6, 33, 268, 752]) dbO_d_5_1_8_svd_sg = ([-33937392317670.082, -13548882097112.832, 43972077770257.15, -33951715967975.695, 29807232372628.477, 7117443881604.922, 5414063246465.234], [19, 33, 34, 262, 259, 259, 259]) dbO_d_5_2_8_svd_sg = ([14389018572960.824, 17614889526341.113, 11101220991387.543, 18037924649808.69, -25885892799271.203, 7909672193132.527, 1649957292888.1836], [2, 4, 161, 232, 328, 330, 330]) dbO_d_4_3_8_svd_sg = ([-52797297099245.1, -16029372990321.656, 11412781427131.602, -45464991656175.95, 20364511594347.227, -27137759041132.383, 6319462758986.523], [1, 3, 40, 61, 85, 342, 342]) dbO_d_4_4_8_svd_sg = ([40656856625218.516, 2036548188237.75, 67856805802700.86, 39300722280242.7, 38187864518114.86, 27210035623840.26, 25704623035549.73], [2, 2, 9, 75, 162, 226, 733]) dbO_d_3_5_8_svd_sg = ([9697753869912.203, -22980907519695.21, -67031269769057.78, -49625089884550.98, 521595736709.3125, -16714162844029.68, -67802633229288.88], [2, 4, 5, 10, 33, 255, 747]) dbO_d_2_6_8_svd_sg = ([35541263481010.44, 66663366311672.266, 22231846827508.777, 66946236918870.72, 28262360801661.94, 72595159779133.58, 20507241495911.336], [2, 5, 7, 6, 33, 268, 752]) dbO_d_5_1_8_svd_kr = ([0.35462743415670406, 0.24854477129666408, 0.4650439633449298, 0.002185913910446091, 0.01592335799781952, 0.01592335799781952, 0.01592335799781952], [19, 33, 34, 262, 259, 259, 259]) dbO_d_5_2_8_svd_kr = ([0.41923219440075676, 0.433782441239296, 0.09351051716778314, 0.04083990711659258, 0.007308015683821223, -0.0011134955352971598, -0.0011134955352971598], [2, 4, 161, 232, 328, 330, 330]) dbO_d_4_3_8_svd_kr = ([0.48804875179919927, 0.3796407428766372, 0.2536336599621828, 0.14563245846955242, 0.21934939650980478, 0.0025889114569690452, 0.0025889114569690452], [1, 3, 40, 61, 85, 342, 342]) dbO_d_4_4_8_svd_kr = ([0.4109808978700521, 0.40461716149813143, 0.41418420108798515, 0.339842908245909, 0.1366567812617221, 0.18745837629074535, 0.00012526618243147158], [2, 2, 9, 75, 162, 226, 733]) dbO_d_3_5_8_svd_kr = ([0.4044926412495472, 0.399502573541061, 0.4129378078333842, 0.375177829950199, 0.4196862883433955, 0.14897203288722372, -0.00027695082674616955], [2, 4, 5, 10, 33, 255, 747]) dbO_d_2_6_8_svd_kr = ([0.420937620786353, 0.4625643195288248, 0.38140622804478663, 0.4575980890304677, 0.39720371896046125, 0.1471446134375145, -0.00017602526533611051], [2, 5, 7, 6, 33, 268, 752]) dbO_d_5_1_8_svd_sv = ([0.10679885551092516, 0.12433044286403883, 0.1310374345679568, 0.011722913897870613, 0.021276472769236388, 0.021276472769236388, 0.021276472769236388], [19, 33, 34, 262, 259, 259, 259]) dbO_d_5_2_8_svd_sv = ([0.1260058974603615, 0.1773211554699592, 0.06154154488028696, 0.036931029544029714, 0.004208065926986415, 0.00013169814835534144, 0.00013169814835534144], [2, 4, 161, 232, 328, 330, 330]) dbO_d_4_3_8_svd_sv = ([0.1477456775491488, 0.12138086420347483, 0.11351615493649314, 0.07270891867369556, 0.06735051321667274, 0.0001271852856411515, 0.0001271852856411515], [1, 3, 40, 61, 85, 342, 342]) dbO_d_4_4_8_svd_sv = ([0.13967337629470156, 0.13305428877680647, 0.14704025067109883, 0.11330809339867387, 0.0666843006797957, 0.07502355144102779, 5.653225384205651e-05], [2, 2, 9, 75, 162, 226, 733]) dbO_d_3_5_8_svd_sv = ([0.15811477669360463, 0.13469039529332782, 0.15769520248329183, 0.12968859574873126, 0.13156259662232062, 0.05570875725678648, -0.0005711783465066622], [2, 4, 5, 10, 33, 255, 747]) dbO_d_2_6_8_svd_sv = ([0.154721080201075, 0.11966691561405796, 0.15982000070040603, 0.1462530014378527, 0.11966609805041362, 0.0427190783164797, -0.0018505415259464364], [2, 5, 7, 6, 33, 268, 752]) dbO_e_5_1_8_svd_lr = ([0.7087024769930955, 1.0370887832563394, 0.9488117450248218, 1.1449332994045942, 0.710484417222165, 0.7250936490041152, 0.7250936490041152, 0.7250936490041152], [824, 19, 33, 34, 262, 259, 259, 259]) dbO_e_5_2_8_svd_lr = ([0.7087024769930955, 1.1284262746848681, 1.1515346017458783, 0.8231608754079862, 0.7595585201234747, 0.7158379758335655, 0.7073619029975584, 0.7073619029975584], [824, 2, 4, 161, 232, 328, 330, 330]) dbO_e_4_3_8_svd_lr = ([0.7087024769930955, 1.1884352253561687, 1.0915274459421564, 0.9601304173227664, 0.8560345968737004, 0.9276444841460347, 0.711102043279327, 0.711102043279327], [824, 1, 3, 40, 61, 85, 342, 342]) dbO_e_4_4_8_svd_lr = ([0.7087024769930955, 1.1245644113445556, 1.113905420766818, 1.1060051479354378, 1.0500049408673462, 0.8461156922961152, 0.8976213732529124, 0.7089765760191792], [824, 2, 2, 9, 75, 162, 226, 733]) dbO_e_3_5_8_svd_lr = ([0.7087024769930955, 1.1089494913536033, 1.1237887299852223, 1.1276105475573728, 1.0931314945116977, 1.14175514995292, 0.8493261006662487, 0.7085548809695136], [824, 2, 4, 5, 10, 33, 255, 747]) dbO_e_2_6_8_svd_lr = ([0.7087024769930955, 1.1203727068954028, 1.1750402518969494, 1.0911465246814043, 1.1629282029127106, 1.1131837491893153, 0.8541399438330227, 0.708677976362355], [824, 2, 5, 7, 6, 33, 268, 752]) dbO_e_5_1_8_svd_sg = ([46890397677482.01, 41606677276146.3, 24550795012323.18, 33686684257776.586, 37617326885561.57, 52419976192351.75, 51422855548128.69, 63115991045817.79], [824, 19, 33, 34, 262, 259, 259, 259]) dbO_e_5_2_8_svd_sg = ([26320519294270.06, 43755163032380.51, 56917303652714.88, 36003047195617.25, 63060175591862.08, 7403074283972.38, 54536576874254.08, 47889695739482.055], [824, 2, 4, 161, 232, 328, 330, 330]) dbO_e_4_3_8_svd_sg = ([60998988146914.56, 54468407364878.79, 20700235408542.965, 11579179410346.29, 29265009855606.168, 5450730845150.814, 7473542463291.295, 12410658929282.568], [824, 1, 3, 40, 61, 85, 342, 342]) dbO_e_4_4_8_svd_sg = ([28079510777086.082, 12934445951479.453, 8598820120618.245, 55705274772436.586, 58936971660306.6, 22905966719153.977, 46706551332948.23, 24184394050269.434], [824, 2, 2, 9, 75, 162, 226, 733]) dbO_e_3_5_8_svd_sg = ([11658350983490.959, 37176155733287.85, 77489389078970.34, 60390471338586.05, 36200307767186.34, 18741974994118.484, 18070926075652.156, 5585405874965.078], [824, 2, 4, 5, 10, 33, 255, 747]) dbO_e_2_6_8_svd_sg = ([20474309001372.81, 67311508819519.516, 12932424838758.041, 69972563242003.35, 49362766882770.37, 86157284634350.45, 81164740398006.47, 25355790251313.562], [824, 2, 5, 7, 6, 33, 268, 752]) dbO_e_5_1_8_svd_kr = ([0.709122435618465, 1.063749869775169, 0.9576672069151291, 1.1741663989633948, 0.7113083495289111, 0.7250457936162845, 0.7250457936162845, 0.7250457936162845], [824, 19, 33, 34, 262, 259, 259, 259]) dbO_e_5_2_8_svd_kr = ([0.709122435618465, 1.1283546300192218, 1.142904876857761, 0.8026329527862481, 0.7499623427350576, 0.7164304513022862, 0.7080089400831678, 0.7080089400831678], [824, 2, 4, 161, 232, 328, 330, 330]) dbO_e_4_3_8_svd_kr = ([0.709122435618465, 1.1971711874176643, 1.0887631784951022, 0.9627560955806478, 0.8547548940880174, 0.9284718321282698, 0.711711347075434, 0.711711347075434], [824, 1, 3, 40, 61, 85, 342, 342]) dbO_e_4_4_8_svd_kr = ([0.709122435618465, 1.120103333488517, 1.1137395971165964, 1.1233066367064501, 1.048965343864374, 0.8457792168801871, 0.8965808119092104, 0.7092477018008965], [824, 2, 2, 9, 75, 162, 226, 733]) dbO_e_3_5_8_svd_kr = ([0.709122435618465, 1.1136150768680122, 1.108625009159526, 1.1220602434518492, 1.084300265568664, 1.1288087239618605, 0.8580944685056887, 0.7088454847917188], [824, 2, 4, 5, 10, 33, 255, 747]) dbO_e_2_6_8_svd_kr = ([0.709122435618465, 1.130060056404818, 1.1716867551472898, 1.0905286636632516, 1.1667205246489327, 1.1063261545789262, 0.8562670490559795, 0.7089464103531289], [824, 2, 5, 7, 6, 33, 268, 752]) dbO_e_5_1_8_svd_sv = ([0.9743404337836312, 1.0811392892945564, 1.09867087664767, 1.105377868351588, 0.9860633476815018, 0.9956169065528676, 0.9956169065528676, 0.9956169065528676], [824, 19, 33, 34, 262, 259, 259, 259]) dbO_e_5_2_8_svd_sv = ([0.9743404337836312, 1.1003463312439927, 1.1516615892535904, 1.0358819786639182, 1.011271463327661, 0.9785484997106176, 0.9744721319319866, 0.9744721319319866], [824, 2, 4, 161, 232, 328, 330, 330]) dbO_e_4_3_8_svd_sv = ([0.9743404337836312, 1.12208611133278, 1.095721297987106, 1.0878565887201244, 1.0470493524573268, 1.041690947000304, 0.9744676190692724, 0.9744676190692724], [824, 1, 3, 40, 61, 85, 342, 342]) dbO_e_4_4_8_svd_sv = ([0.9743404337836312, 1.1140138100783328, 1.1073947225604377, 1.12138068445473, 1.087648527182305, 1.041024734463427, 1.049363985224659, 0.9743969660374733], [824, 2, 2, 9, 75, 162, 226, 733]) dbO_e_3_5_8_svd_sv = ([0.9743404337836312, 1.1324552104772359, 1.109030829076959, 1.132035636266923, 1.1040290295323625, 1.1059030304059518, 1.0300491910404177, 0.9737692554371246], [824, 2, 4, 5, 10, 33, 255, 747]) dbO_e_2_6_8_svd_sv = ([0.9743404337836312, 1.1290615139847062, 1.0940073493976892, 1.1341604344840372, 1.120593435221484, 1.0940065318340448, 1.017059512100111, 0.9724898922576848], [824, 2, 5, 7, 6, 33, 268, 752]) ## ## PCA ## dbO_d_5_1_8_pca_lr = ([0.9843552019623402, 0.29440732049218143, 0.32423337695845655], [1, 5, 10]) dbO_d_5_2_8_pca_lr = ([0.6016404395609053, 0.6241331257418671, 0.36834059923141116], [1, 1, 10]) dbO_d_4_3_8_pca_lr = ([0.42693440990577025, 0.3111256173013214, 0.3835258071755073], [2, 3, 3]) dbO_d_4_4_8_pca_lr = ([0.5571816489391864, 0.3585551941837978, 0.32387463629311786], [1, 1, 10]) dbO_d_3_5_8_pca_lr = ([0.5657990772236791, 0.3652592511540803, 0.3586093135937455], [1, 1, 7]) dbO_d_2_6_8_pca_lr = ([0.40293026617217376, 0.42370057853347987, 0.3124421401627443], [1, 2, 8]) dbO_d_5_1_8_pca_sg = ([-26021542723278.61, -72449322154531.47, -59523173780135.016], [1, 5, 10]) dbO_d_5_2_8_pca_sg = ([-48952110820190.164, -35717261707410.91, -36091557861564.97], [1, 1, 10]) dbO_d_4_3_8_pca_sg = ([79669752116583.9, 43438461812969.76, 44976551646669.81], [2, 3, 3]) dbO_d_4_4_8_pca_sg = ([-2339199850050.1836, 76755209063884.03, -9724225053057.049], [1, 1, 10]) dbO_d_3_5_8_pca_sg = ([4095339236256.0117, 2828446335038.922, 17595010554774.145], [1, 1, 7]) dbO_d_2_6_8_pca_sg = ([24866167477117.65, -37971236514014.25, -7302631047594.734], [1, 2, 8]) dbO_d_5_1_8_pca_kr = ([0.7957244545265255, 0.27563268603273783, 0.3341887755832672], [1, 5, 10]) dbO_d_5_2_8_pca_kr = ([0.6291414759351467, 0.6041829177033108, 0.3516998564561177], [1, 1, 10]) dbO_d_4_3_8_pca_kr = ([0.4175266257738476, 0.3125345781681258, 0.3737248522447222], [2, 3, 3]) dbO_d_4_4_8_pca_kr = ([0.5523085134621338, 0.35824819061030666, 0.3300571035291554], [1, 1, 10]) dbO_d_3_5_8_pca_kr = ([0.5659091070547125, 0.35510705489217587, 0.3512332894066662], [1, 1, 7]) dbO_d_2_6_8_pca_kr = ([0.40236555515770445, 0.414175979677731, 0.31157187361731775], [1, 2, 8]) dbO_d_5_1_8_pca_sv = ([0.14525873542855328, 0.09195463759661537, 0.11311892339669649], [1, 5, 10]) dbO_d_5_2_8_pca_sv = ([0.1727181075703983, 0.1397072312150225, 0.12070942233497717], [1, 1, 10]) dbO_d_4_3_8_pca_sv = ([0.13587268067433445, 0.12021517858729025, 0.14838462899828797], [2, 3, 3]) dbO_d_4_4_8_pca_sv = ([0.16436546607644265, 0.14386564733063145, 0.11453708235687343], [1, 1, 10]) dbO_d_3_5_8_pca_sv = ([0.1780795201493386, 0.13218565976558105, 0.12284543939430259], [1, 1, 7]) dbO_d_2_6_8_pca_sv = ([0.16091769483251683, 0.14363774559376608, 0.08405686060369977], [1, 2, 8]) dbO_e_5_1_8_pca_lr = ([0.7087024769930955, 1.6930576789554357, 1.003109797485277, 1.032935853951552], [824, 1, 5, 10]) dbO_e_5_2_8_pca_lr = ([0.7087024769930955, 1.3103429165540008, 1.3328356027349626, 1.0770430762245067], [824, 1, 1, 10]) dbO_e_4_3_8_pca_lr = ([0.7087024769930955, 1.1356368868988658, 1.019828094294417, 1.0922282841686028], [824, 2, 3, 3]) dbO_e_4_4_8_pca_lr = ([0.7087024769930955, 1.265884125932282, 1.0672576711768933, 1.0325771132862134], [824, 1, 1, 10]) dbO_e_3_5_8_pca_lr = ([0.7087024769930955, 1.2745015542167746, 1.0739617281471758, 1.067311790586841], [824, 1, 1, 7]) dbO_e_2_6_8_pca_lr = ([0.7087024769930955, 1.1116327431652693, 1.1324030555265754, 1.0209849502298578], [824, 1, 2, 8]) dbO_e_5_1_8_pca_sg = ([21059993499527.875, 3976613823829.657, 73199819781299.33, 56692108521563.76], [824, 1, 5, 10]) dbO_e_5_2_8_pca_sg = ([82224963535141.48, 48832251703336.99, 80088346207204.64, 80168063950785.38], [824, 1, 1, 10]) dbO_e_4_3_8_pca_sg = ([15331109039255.21, 109552123960189.25, 68397050641173.32, 20199102269077.652], [824, 2, 3, 3]) dbO_e_4_4_8_pca_sg = ([68392062235338.24, 43618239732315.734, 35234578190188.66, 87089656812826.33], [824, 1, 1, 10]) dbO_e_3_5_8_pca_sg = ([37743425303784.51, 68341393980270.914, 77576209500164.38, 14456672225087.441], [824, 1, 1, 7]) dbO_e_2_6_8_pca_sg = ([18350209368433.426, 70860487758969.28, 65644147799811.16, 22565809783666.76], [824, 1, 2, 8]) dbO_e_5_1_8_pca_kr = ([0.709122435618465, 1.5048468901449905, 0.9847551216512028, 1.0433112112017322], [824, 1, 5, 10]) dbO_e_5_2_8_pca_kr = ([0.709122435618465, 1.3382639115536117, 1.3133053533217758, 1.0608222920745827], [824, 1, 1, 10]) dbO_e_4_3_8_pca_kr = ([0.709122435618465, 1.1266490613923126, 1.0216570137865908, 1.0828472878631872], [824, 2, 3, 3]) dbO_e_4_4_8_pca_kr = ([0.709122435618465, 1.2614309490805988, 1.0673706262287717, 1.0391795391476204], [824, 1, 1, 10]) dbO_e_3_5_8_pca_kr = ([0.709122435618465, 1.2750315426731775, 1.0642294905106409, 1.0617169950240049], [824, 1, 1, 7]) dbO_e_2_6_8_pca_kr = ([0.709122435618465, 1.1114879907761694, 1.123298415296196, 1.0206943092357827], [824, 1, 2, 8]) dbO_e_5_1_8_pca_sv = ([0.9743404337836312, 1.1195991692121845, 1.0662950713802466, 1.0874593571803277], [824, 1, 5, 10]) dbO_e_5_2_8_pca_sv = ([0.9743404337836312, 1.1470585413540295, 1.1140476649986537, 1.0950498561186084], [824, 1, 1, 10]) dbO_e_4_3_8_pca_sv = ([0.9743404337836312, 1.1102131144579657, 1.0945556123709215, 1.1227250627819192], [824, 2, 3, 3]) dbO_e_4_4_8_pca_sv = ([0.9743404337836312, 1.1387058998600739, 1.1182060811142627, 1.0888775161405047], [824, 1, 1, 10]) dbO_e_3_5_8_pca_sv = ([0.9743404337836312, 1.1524199539329698, 1.1065260935492123, 1.0971858731779338], [824, 1, 1, 7]) dbO_e_2_6_8_pca_sv = ([0.9743404337836312, 1.135258128616148, 1.1179781793773973, 1.058397294387331], [824, 1, 2, 8]) ### Database TARRAGONA === dbT_d_5_1_12_mdav_lr = ([-0.1809055248348841, -31.8583478721971, -43.47486349561757, -24.662470519140015, -29.165579080272323, -17.846079054836196, -42.308465258105, 16.262559908240178, -37.250394491269844, -22.6578296165643, -24.95310242882647, -35.077894731888705, 2.2123849167187473, -42.409948087208136, -26.123345440004982], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_lr = ([-37.84135806437973, -26.88610443869777, -53.98861418694332, -27.02289032199735, -23.09011026660221, -34.77076308384346, -18.61496342434748, -8.995165762444799, -9.240993752430768, -21.49570799910623, -5.141859896029473, -31.52831411015063, 65.68465006720544, -34.37533724373566, -17.468222601660045], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_lr = ([-51.498938094792265, -16.702346263587742, 11.935325895094138, 1.9016069928397883, -80.4416572732764, -36.4361136396891, -0.8208324293830174, -17.451069314220263, -30.134732070263226, -30.349525271445714, -5.022449298440733, 9.864021689814649, -35.39613434278101, 9.98528623236848, -20.314564819018074], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_lr = ([-34.28748847935765, -3.3241121454027507, 7.515559897391313, -18.51060020509135, -41.580123014130095, -40.32913589950829, -15.986465822400874, -22.720873978326154, -16.18096215773153, -36.4506919377892, 80.51194251289746, 44.201533267005175, -33.74259393982561, -12.6708414048735, -16.80146617407695], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_lr = ([-26.30495716767473, 7.411783340933084, 2.882976721149589, -6.508568373683261, -43.589308108751425, -39.202225750537195, -30.128292034196875, -42.016173452279986, -36.824269469902106, -16.284635818501442, -8.029916992033577, -8.189042582571346, -20.993565205304094, -9.18038320865503, -21.797630498280682], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_lr = ([-38.26922308008784, 0.04563890467898091, 0.18913224723041822, 4.3301896496083145, -10.561548113471417, -47.84007811183358, -25.54470468379475, -37.10583633148201, -38.33297468621549, -12.568603162312002, -32.28518499414952, 10.16704352401348, -41.70807518805475, -18.496576704672748, 4.03391372092301], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_d_5_1_12_mdav_sg = ([-5.208298140516467e+19, -6.769385472051464e+19, -2.6034576018996666e+19, -5.548642609650801e+19, -1.0344534343329055e+19, -2.054274519246739e+19, -3.290681664661296e+19, -8.010947571822677e+19, 9.183836142343553e+18, -7.555271036707126e+19, -6.58350658607818e+19, -7.50269198481845e+19, -7.903538897528947e+18, -6.504233412053459e+19, 4.533997154744518e+19], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_sg = ([3.7560062137594446e+20, 1.0805896904495912e+20, 1.0593447326255636e+20, -6.304053614612973e+19, -6.55726944425521e+19, 5.470736040778759e+20, -8.376808457431933e+19, 4.480080840692872e+19, -5.103569573724785e+19, -3.590815146207109e+19, -7.119455592906379e+19, -6.5323633738304864e+19, -6.928403434256771e+19, 2.559296760727973e+19, -8.544883407300067e+19], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_sg = ([-2.8518409381695767e+19, 9.862157541976365e+19, -3.4647645029029073e+19, -2.415679960726681e+19, 6.530679066223995e+19, 2.6793886752529357e+20, 2.371017362267004e+20, -2.5611202571222254e+19, -3.10045630882662e+18, -3.815288371227055e+19, -4.701253015381841e+19, -3.558108478171323e+19, 1.455361267322415e+20, 1.4198284463328092e+19, -3.657326432875684e+19], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_sg = ([-3.2556012824519895e+20, -9.487885059248197e+19, -3.20889390390022e+20, -3.247250750347026e+20, 5.429383121171821e+19, -1.3062053054518673e+20, 1.742917708586609e+20, -3.3351021081647035e+20, -3.3278885544653586e+20, -3.177375192028032e+20, -3.263685716437518e+20, -2.882973705429279e+20, -3.198243836352641e+20, -3.029483691952348e+20, -2.9859480452648554e+20], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_sg = ([-5.328216629410288e+18, 3.9541442407934075e+18, 1.2106382568525603e+19, 4.0357251457238475e+19, -2.2816332199297024e+18, -1.1332511580556104e+19, 4.531691425909625e+19, -1.0824599825288122e+19, -1.2871918229689215e+19, -1.8311351183630746e+19, 1.7854487335798612e+19, -2.122483927877088e+19, -7.263135421432283e+18, 4.446672773031859e+19, -2.0740719104381653e+19], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_sg = ([5.336268111959753e+18, 3.426706126556499e+20, 3.4754879327018697e+19, -4.740761029787324e+19, 3.587727842383406e+20, -5.0187365546946855e+19, 4.482238657237291e+20, -5.233409820094107e+19, -5.428278156083043e+19, -5.925611602843406e+19, 2.30760420532254e+20, -6.773822800589199e+19, -4.4299003114448355e+19, -5.9537407980131434e+19, -6.894719951273251e+19], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_d_5_1_12_mdav_kr = ([-6.406463520991906, -42.53149907161571, -46.76398422836519, -20.518616356410007, -31.10908718854023, -23.57538575673459, -43.335839266334006, 13.299593195192188, -40.463641572785605, -31.0326847005025, -28.489260842202043, -43.00165733485551, -6.87466690625422, -58.71953508151921, -52.27621003300658], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_kr = ([-43.6086166335424, -32.28840733137474, -60.32413135402521, -31.226738713985924, -29.883248515992136, -41.13476116404729, -27.089876206998042, -14.555439135599727, -19.723619143684687, -26.196435938944546, -21.995036429427273, -36.87890312329955, 29.609623874401677, -38.404434467482474, -12.869502087147225], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_kr = ([-58.81826536500171, -21.251963894603023, 3.7285093137276135, -15.213131954480104, -81.71216555265744, -42.60494719459814, -1.3728500880392858, -21.936275539551843, -36.79209811973135, -32.52910483554058, -7.480584299792895, -3.152304818147968, -39.08232914382495, -1.422666192933093, -20.92722370139643], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_kr = ([-43.24022802071556, -4.464043562355187, -1.7190036469278311, -25.445295920148283, -41.14463759748298, -48.38324211818622, -18.86059813906604, -35.10328070618209, -23.908770079905594, -34.654748497945775, 74.17466422577729, 20.00060470000892, -36.211287978521, -15.252200707176485, -24.20313492892751], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_kr = ([-32.10519015773377, -1.2422689569365275, -9.669411555500119, -13.628653623898458, -46.738752919552894, -45.74962006820954, -35.984059545132595, -46.37737353233979, -44.53034028523416, -23.406712814841285, -14.869245614490069, -18.272005273074456, -43.421294725803364, -42.35042478143771, -25.183278997197817], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_kr = ([-45.03651774163416, -2.924505544981912, -12.503555788050676, -3.8922812466739742, -19.344712837461316, -53.40755112486056, -36.60856767905875, -42.18176062177429, -40.46456091223206, -19.073146972020254, -42.66908366225664, -5.588361840911148, -47.40566350540121, -25.77265785674149, -16.72165054644279], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_d_5_1_12_mdav_sv = ([0.02525816654542723, 0.043188404083139176, 0.02687384160435613, 0.045721939605755324, 0.048860521979804616, 0.044009690099301224, 0.05241571760689112, 0.009920176139985415, 0.010622698719544132, -5.160775253898464e-05, 0.048408628776087426, 0.0038699645401720772, 0.03131388258407242, 0.011933576071442076, -0.015992664889381558], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_sv = ([0.024118986511894036, 0.0014177487701090286, 0.04610906975949547, 0.047227602926341206, 0.03166609937989051, 0.05653194194792377, 0.04977145878456213, -0.0420817473286661, -0.014085841858559434, 0.07233445569909236, -0.03728908554876398, -0.014194823096204345, -0.020992493763060338, -0.04119291790220814, -0.017283521812714753], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_sv = ([0.06902704727281161, 0.05447355800288278, 0.06197659297458813, 0.08284968861062225, 0.06769465692104859, 0.08508020535100513, 0.0186927042464049, -0.005694288855920604, -0.013959478644665069, -0.001743480573168199, -0.012370953601021029, -0.059642970853019506, -0.022357104775892367, -0.09438813977612881, -0.032731571056956454], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_sv = ([0.02777456250760224, 0.0168500512436367, 0.06978601710852672, 0.07084200164263166, 0.024742614015394793, 0.03657620152034724, 0.03420214546395073, -0.06037791776861923, 0.0021082046941955923, 0.014659482409570046, -0.009166340198135003, -0.04708429294532834, -0.057442170921603974, 0.016430152530119813, -0.03943555517753339], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_sv = ([0.05026437327114763, 0.04195624607427817, 0.09924524298548931, 0.04525253205883928, 0.04955450603256395, 0.04222432209553517, 0.025173054877086543, -0.018923355680726672, -0.015448380116595217, -0.029395833640592173, 0.015220121587390167, -0.017227198723503534, 0.05301626276514071, -0.05000075943826232, -0.02321100833660239], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_sv = ([0.03345600002739957, -0.01803973245796442, 0.06476546997009791, -0.002793667773858033, 0.04633856833788741, 0.04526909434025583, 0.05828452658261085, -0.08594628616720001, -0.0615399346288541, -0.06690726382430512, 0.03200684368675866, -0.07048961915961627, 0.00245943019126571, -0.10697021075293378, -0.013083846782592445], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_lr = ([766.7174638302495, 766.5365583054146, 734.8591159580524, 723.2426003346319, 742.0549933111095, 737.5518847499771, 748.8713847754133, 724.4089985721445, 782.9800237384896, 729.4670693389796, 744.0596342136852, 741.764361401423, 731.6395690983608, 768.9298487469682, 724.3075157430413, 740.5941183902445], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_lr = ([766.7174638302495, 728.8761057658697, 739.8313593915517, 712.7288496433061, 739.6945735082521, 743.6273535636473, 731.946700746406, 748.102500405902, 757.7222980678047, 757.4764700778187, 745.2217558311432, 761.57560393422, 735.1891497200988, 832.4021138974549, 732.3421265865138, 749.2492412285894], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_lr = ([766.7174638302495, 715.2185257354572, 750.0151175666617, 778.6527897253436, 768.6190708230893, 686.2758065569731, 730.2813501905604, 765.8966314008665, 749.2663945160292, 736.5827317599862, 736.3679385588038, 761.6950145318087, 776.5814855200641, 731.3213294874685, 776.702750062618, 746.4028990112314], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_lr = ([766.7174638302495, 732.4299753508918, 763.3933516848467, 774.2330237276408, 748.2068636251581, 725.1373408161194, 726.3883279307412, 750.7309980078486, 743.9965898519233, 750.5365016725179, 730.2667718924603, 847.2294063431469, 810.9189970972546, 732.9748698904239, 754.046622425376, 749.9159976561725], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_lr = ([766.7174638302495, 740.4125066625747, 774.1292471711826, 769.6004405513991, 760.2088954565662, 723.128155721498, 727.5152380797123, 736.5891717960526, 724.7012903779695, 729.8931943603474, 750.432828011748, 758.6875468382159, 758.5284212476781, 745.7238986249454, 757.5370806215944, 744.9198333319688], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_lr = ([766.7174638302495, 728.4482407501616, 766.7631027349285, 766.9065960774799, 771.0476534798578, 756.155915716778, 718.8773857184159, 741.1727591464547, 729.6116274987675, 728.384489144034, 754.1488606679375, 734.4322788361, 776.884507354263, 725.0093886421947, 748.2208871255767, 770.7513775511725], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_sg = ([1.3503657629553633e+20, 3.914482789992753e+20, 1.5517653755976962e+19, 2.0783133885241744e+20, 1.5572631544973463e+20, 3.728454651478338e+19, 7.907057991968606e+19, 9.847286228347562e+19, 5.509100898475532e+19, 6.562669716217255e+19, 3.479584627986087e+20, 2.853960240754309e+19, 7.0776152930678874e+19, 2.4651951827060143e+20, 2.213971700183011e+19, 7.2744341812565795e+19], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_sg = ([5.670139047715659e+19, 2.462673769900898e+19, 3.3124583790494564e+19, 8.432136563882072e+19, 2.95871299930101e+20, 4.7451111040860815e+19, 3.165984947180682e+19, 9.118728432594151e+19, 1.3992818002473755e+19, 8.968506426496913e+19, 1.9334213577193726e+19, 2.8314647014956577e+19, 3.914948136685583e+19, 4.330744389072921e+19, 4.391459035925751e+19, 1.3308089920323396e+19], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_sg = ([6.0533338693238915e+19, 1.92589341254133e+20, 6.092486123909107e+19, 4.0998612303234425e+19, 7.0374769842325545e+19, 3.2761363011331174e+19, 1.1113727185991995e+20, 2.1520439133456803e+20, 6.252920146525973e+19, 1.9901486711533445e+19, 1.9410004999000334e+19, 2.3074286651762643e+19, 4.542024460361429e+19, 3.978964086919988e+19, 2.035714528442781e+19, 9.406537682937135e+18], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_sg = ([5.4652779266695635e+19, 5.024619746908704e+19, 6.203708379231561e+19, 5.296948878637884e+19, 1.9143570832713765e+19, 3.853161191893025e+19, 2.7817944205233512e+19, 6.326749711036969e+19, 2.0578659949425627e+19, 3.7278652923221475e+19, 5.197625286847027e+19, 8.498817004373875e+19, 1.5571169849846209e+19, 2.479804419467425e+19, 1.523088183614217e+19, 5.323045357004919e+18], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_sg = ([3.5153703875799413e+19, 5.505799730617109e+19, 7.60442738826247e+19, 5.352794115368089e+20, 5.152022987578937e+19, 1.2511910025856552e+20, 4.556729017000147e+19, 2.6949757675477783e+19, 2.69895705966271e+19, 7.48443197349802e+19, 2.0254913688116687e+19, 1.5891517252673436e+19, 5.00110785352386e+19, 1.3412797049299285e+20, 2.459104750284383e+19, 1.3524664400577223e+19], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_sg = ([8.477352640472357e+19, 3.717880119641832e+19, 1.323167225920546e+19, 2.72282319341461e+19, 2.0517175058699308e+20, 6.603999949430263e+19, 1.5661241703814906e+20, 1.3399903734463275e+19, 3.553575338208065e+19, 1.0289945210274972e+19, 4.472615341706262e+19, 6.357878254636145e+19, 1.4557536359650184e+20, 6.015265544567898e+19, 6.496706193313659e+18, 3.2350094469768565e+19], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_kr = ([770.5552302692274, 764.1487667482355, 728.0237311976117, 723.7912460408622, 750.0366139128174, 739.4461430806872, 746.9798445124928, 727.2193910028934, 783.8548234644196, 730.0915886964418, 739.5225455687249, 742.0659694270254, 727.5535729343719, 763.6805633629732, 711.8356951877082, 718.2790202362208], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_kr = ([770.5552302692274, 726.946613635685, 738.2668229378527, 710.2310989152022, 739.3284915552415, 740.6719817532353, 729.4204691051801, 743.4653540622294, 755.9997911336277, 750.8316111255427, 744.3587943302829, 748.5601938398001, 733.6763271459279, 800.1648541436291, 732.150795801745, 757.6857281820802], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_kr = ([770.5552302692274, 711.7369649042257, 749.3032663746244, 774.283739582955, 755.3420983147473, 688.84306471657, 727.9502830746293, 769.1823801811881, 748.6189547296756, 733.7631321494961, 738.0261254336868, 763.0746459694345, 767.4029254510795, 731.4729011254025, 769.1325640762943, 749.628006567831], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_kr = ([770.5552302692274, 727.3150022485119, 766.0911867068722, 768.8362266222996, 745.1099343490791, 729.4105926717444, 722.1719881510412, 751.6946321301614, 735.4519495630453, 746.6464601893218, 735.9004817712816, 844.7298944950047, 790.5558349692363, 734.3439422907064, 755.3030295620509, 746.3520953402999], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_kr = ([770.5552302692274, 738.4500401114936, 769.3129613122909, 760.8858187137273, 756.926576645329, 723.8164773496745, 724.8056102010179, 734.5711707240948, 724.1778567368876, 726.0248899839933, 747.1485174543861, 755.6859846547374, 752.283224996153, 727.1339355434241, 728.2048054877897, 745.3719512720296], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_kr = ([770.5552302692274, 725.5187125275933, 767.6307247242455, 758.0516744811767, 766.6629490225534, 751.2105174317661, 717.1476791443669, 733.9466625901687, 728.3734696474531, 730.0906693569954, 751.4820832972072, 727.8861466069708, 764.9668684283163, 723.1495667638262, 744.7825724124859, 753.8335797227846], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_sv = ([2309.8144585818313, 2309.8397167483768, 2309.8576469859145, 2309.8413324234357, 2309.860180521437, 2309.863319103811, 2309.8584682719306, 2309.866874299438, 2309.8243787579713, 2309.825081280551, 2309.814406974079, 2309.8628672106074, 2309.8183285463715, 2309.8457724644154, 2309.826392157903, 2309.798465916942], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_sv = ([2309.8144585818313, 2309.838577568343, 2309.8158763306014, 2309.860567651591, 2309.8616861847577, 2309.846124681211, 2309.8709905237793, 2309.864230040616, 2309.7723768345027, 2309.8003727399728, 2309.8867930375304, 2309.7771694962826, 2309.800263758735, 2309.7934660880683, 2309.773265663929, 2309.7971750600186], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_sv = ([2309.8144585818313, 2309.883485629104, 2309.868932139834, 2309.876435174806, 2309.897308270442, 2309.8821532387524, 2309.8995387871823, 2309.8331512860777, 2309.8087642929754, 2309.8004991031867, 2309.812715101258, 2309.8020876282303, 2309.7548156109783, 2309.7921014770554, 2309.720070442055, 2309.7817270107744], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_sv = ([2309.8144585818313, 2309.842233144339, 2309.831308633075, 2309.88424459894, 2309.885300583474, 2309.8392011958467, 2309.8510347833517, 2309.8486607272953, 2309.7540806640627, 2309.8165667865255, 2309.829118064241, 2309.805292241633, 2309.767374288886, 2309.7570164109097, 2309.8308887343615, 2309.775023026654], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_sv = ([2309.8144585818313, 2309.8647229551025, 2309.8564148279056, 2309.913703824817, 2309.85971111389, 2309.864013087864, 2309.856682903927, 2309.8396316367084, 2309.7955352261506, 2309.7990102017147, 2309.7850627481907, 2309.8296787034187, 2309.797231383108, 2309.8674748445965, 2309.764457822393, 2309.7912475734947], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_sv = ([2309.8144585818313, 2309.8479145818587, 2309.7964188493734, 2309.8792240518014, 2309.8116649140575, 2309.860797150169, 2309.8597276761716, 2309.872743108414, 2309.728512295664, 2309.7529186472025, 2309.747551318007, 2309.846465425518, 2309.7439689626717, 2309.8169180120226, 2309.7074883710784, 2309.8013747350487], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) ### MONDRIAN EXPERIMENTS dbT_d_5_1_12_mond_lr = ([-28.62803378715921, 19.819590187984545, -51.5191714651628, -51.5191714651628, -51.5191714651628, -30.021136570353747, -30.021136570353747, -30.021136570353747, -30.021136570353747, -30.021136570353747, -6.803548923811036, -6.803548923811036, -6.803548923811036, -6.803548923811036, -6.803548923811036], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_lr = ([-15.694328503787347, -13.52090068932148, -23.932360358219853, -23.932360358219853, -23.932360358219853, -23.326701993731945, -23.326701993731945, -23.326701993731945, -23.326701993731945, -23.326701993731945, 48.966879976313294, 48.966879976313294, 48.966879976313294, 48.966879976313294, 48.966879976313294], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_lr = ([-14.497805961118047, -3.5498603628838055, -27.277441015573004, -27.277441015573004, -27.277441015573004, 7.271141122048789, 7.271141122048789, 7.271141122048789, 7.271141122048789, 7.271141122048789, 25.97834741585166, 25.97834741585166, 25.97834741585166, 25.97834741585166, 25.97834741585166], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_lr = ([-3.371486091185375, -14.233306347505163, -7.071332717213522, -7.071332717213522, -7.071332717213522, -25.470220075014367, -25.470220075014367, -25.470220075014367, -25.470220075014367, -25.470220075014367, 51.96121891046198, 51.96121891046198, 51.96121891046198, 51.96121891046198, 51.96121891046198], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_lr = ([9.952934709211604, 0.8032549185862763, -35.305740724910606, -35.305740724910606, -35.305740724910606, -44.656757214700974, -44.656757214700974, -44.656757214700974, -44.656757214700974, -44.656757214700974, 1.7370340133388709, 1.7370340133388709, 1.7370340133388709, 1.7370340133388709, 1.7370340133388709], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_lr = ([3.958298623354949, 1.569573706744336, -30.05285003743711, -30.05285003743711, -30.05285003743711, -18.599137320126147, -18.599137320126147, -18.599137320126147, -18.599137320126147, -18.599137320126147, 42.718149578725615, 42.718149578725615, 42.718149578725615, 42.718149578725615, 42.718149578725615], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_d_5_1_12_mond_sg = ([-1.150822918858197e+19, -6.239748902779585e+18, 1.0812123431893e+20, -1.4672845995625103e+19, 1.592000312257522e+19, -6.015831912760058e+18, -1.6241807993415133e+19, -1.660661574529386e+19, 6.135172615266178e+20, -6.702400963621241e+18, 1.6887035452906643e+19, 1.3666763820233677e+20, -1.2805460143735972e+19, 1.1620493651578654e+20, 6.322751313221515e+20], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_sg = ([5.4794742650440555e+20, -1.1702570230888381e+20, -1.0228634538153329e+20, -9.331568575131078e+19, -1.2821642926233436e+20, -1.2109371214920525e+20, -2.5624904850600493e+19, -1.1883182058736822e+20, 1.7565662439704687e+20, -1.2975122818800694e+20, -1.0281995878502757e+20, -1.2481034572747473e+20, -5.522956469966453e+19, -5.998341946788282e+18, -1.2857974046949615e+20], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_sg = ([-2.4605282851065446e+18, 2.074608201293494e+19, 1.5277044201129034e+19, 4.872080208449323e+19, 2.8920096961002583e+20, 3.1109139459144555e+20, 1.625080948300264e+20, 1.082242909219147e+19, -1.1795025383082394e+17, 2.8597237720643625e+19, -1.2865360705099248e+19, -7.198473607844635e+18, 9.823311951457878e+19, -7.626618562408149e+18, -3.6498040370589245e+18], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_sg = ([1.1214522094732195e+20, 2.070198644065206e+19, 4.757095533560614e+20, 5.2821347099632475e+20, 2.0566802058147836e+19, 1.4694279147400688e+20, 1.0836269923282205e+20, 1.5611196623755955e+20, 2.7208843108191656e+20, 3.693197815096594e+19, 5.3639738869058765e+19, 1.6073457904567898e+19, -1.1476422696498784e+19, -1.3895752247096377e+19, -1.6772398905939214e+19], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_sg = ([1.0208800396111803e+20, 4.7588442318862066e+19, 3.09942606019427e+20, -5.505113705757663e+19, -5.242454684455176e+19, -6.876318034903516e+19, -6.692036240155091e+18, -3.5403553078390112e+19, -3.678895863121026e+19, 2.5301946551570276e+19, -6.556696066332234e+19, -6.894344714942888e+19, -4.809100516121312e+19, -5.82877034619737e+19, -6.168271156337826e+19], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_sg = ([-1.996945476899761e+20, -1.9214035200743837e+20, 8.91946202576663e+19, -1.961416448387307e+20, -1.2585798803979069e+20, -9.106750712109012e+19, -2.22130745368641e+20, -2.2661125107548137e+20, -2.149650809497399e+20, -2.0601484166273014e+20, -2.1908775387678235e+20, -2.1335143226006864e+20, -2.2511735186222318e+20, -2.2798376103970688e+20, -2.0251086118346644e+20], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_d_5_1_12_mond_kr = ([-37.37725516490275, 16.631167895192334, -60.197302937263885, -60.197302937263885, -60.197302937263885, -31.919942049734686, -31.919942049734686, -31.919942049734686, -31.919942049734686, -31.919942049734686, -6.1080415499220635, -6.1080415499220635, -6.1080415499220635, -6.1080415499220635, -6.1080415499220635], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_kr = ([-24.41594593746595, -20.82207663621375, -31.62256307148857, -31.62256307148857, -31.62256307148857, -25.284555020630478, -25.284555020630478, -25.284555020630478, -25.284555020630478, -25.284555020630478, 39.589553406303025, 39.589553406303025, 39.589553406303025, 39.589553406303025, 39.589553406303025], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_kr = ([-17.70035036381546, -7.251356725388746, -35.81463015888323, -35.81463015888323, -35.81463015888323, 7.43114794018004, 7.43114794018004, 7.43114794018004, 7.43114794018004, 7.43114794018004, 24.374280305291336, 24.374280305291336, 24.374280305291336, 24.374280305291336, 24.374280305291336], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_kr = ([-17.332244943626847, -24.739264089294693, -13.658696110478445, -13.658696110478445, -13.658696110478445, -27.097003664898352, -27.097003664898352, -27.097003664898352, -27.097003664898352, -27.097003664898352, 49.50289804716613, 49.50289804716613, 49.50289804716613, 49.50289804716613, 49.50289804716613], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_kr = ([6.738422513201954, -10.051743301784995, -42.281654169485705, -42.281654169485705, -42.281654169485705, -53.69303358283321, -53.69303358283321, -53.69303358283321, -53.69303358283321, -53.69303358283321, 14.61639446795698, 14.61639446795698, 14.61639446795698, 14.61639446795698, 14.61639446795698], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_kr = ([-4.330734744183019, -7.787265717752348, -39.279054597672484, -39.279054597672484, -39.279054597672484, -27.84950024172042, -27.84950024172042, -27.84950024172042, -27.84950024172042, -27.84950024172042, -16.76327790170467, -16.76327790170467, -16.76327790170467, -16.76327790170467, -16.76327790170467], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_d_5_1_12_mond_sv = ([0.020219223362346384, 0.01549368566065823, 0.013978881791899767, 0.013978881791899767, 0.013978881791899767, -0.048787947818254906, -0.048787947818254906, -0.048787947818254906, -0.048787947818254906, -0.048787947818254906, -0.0030965367213866557, -0.0030965367213866557, -0.0030965367213866557, -0.0030965367213866557, -0.0030965367213866557], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_sv = ([0.027210059162825928, 0.01557973810531621, 0.12424517586578077, 0.12424517586578077, 0.12424517586578077, 0.01878162796356264, 0.01878162796356264, 0.01878162796356264, 0.01878162796356264, 0.01878162796356264, -0.0734188748865563, -0.0734188748865563, -0.0734188748865563, -0.0734188748865563, -0.0734188748865563], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_sv = ([0.020290889223360864, -0.004478159310110641, 0.005716756834772241, 0.005716756834772241, 0.005716756834772241, -0.09731663971933813, -0.09731663971933813, -0.09731663971933813, -0.09731663971933813, -0.09731663971933813, -0.04453007595702729, -0.04453007595702729, -0.04453007595702729, -0.04453007595702729, -0.04453007595702729], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_sv = ([0.016074762072548765, -0.008415852841608285, -0.015867897692714905, -0.015867897692714905, -0.015867897692714905, -0.04946196260607394, -0.04946196260607394, -0.04946196260607394, -0.04946196260607394, -0.04946196260607394, -0.015647507970697916, -0.015647507970697916, -0.015647507970697916, -0.015647507970697916, -0.015647507970697916], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_sv = ([0.018037329110029532, 0.0011560676075532683, 0.0009426169744983781, 0.0009426169744983781, 0.0009426169744983781, -0.08038265235609288, -0.08038265235609288, -0.08038265235609288, -0.08038265235609288, -0.08038265235609288, -0.08233893340275245, -0.08233893340275245, -0.08233893340275245, -0.08233893340275245, -0.08233893340275245], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_sv = ([0.03299857401771078, 0.01929336386046998, 0.054650079729526624, 0.054650079729526624, 0.054650079729526624, 0.05392095612751291, 0.05392095612751291, 0.05392095612751291, 0.05392095612751291, 0.05392095612751291, -0.03051778324834231, -0.03051778324834231, -0.03051778324834231, -0.03051778324834231, -0.03051778324834231], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_lr = ([766.7174638302495, 738.0894300430903, 786.537054018234, 715.1982923650867, 715.1982923650867, 715.1982923650867, 736.6963272598957, 736.6963272598957, 736.6963272598957, 736.6963272598957, 736.6963272598957, 759.9139149064384, 759.9139149064384, 759.9139149064384, 759.9139149064384, 759.9139149064384], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_lr = ([766.7174638302495, 751.0231353264621, 753.196563140928, 742.7851034720296, 742.7851034720296, 742.7851034720296, 743.3907618365175, 743.3907618365175, 743.3907618365175, 743.3907618365175, 743.3907618365175, 815.6843438065628, 815.6843438065628, 815.6843438065628, 815.6843438065628, 815.6843438065628], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_lr = ([766.7174638302495, 752.2196578691314, 763.1676034673657, 739.4400228146765, 739.4400228146765, 739.4400228146765, 773.9886049522983, 773.9886049522983, 773.9886049522983, 773.9886049522983, 773.9886049522983, 792.6958112461011, 792.6958112461011, 792.6958112461011, 792.6958112461011, 792.6958112461011], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_lr = ([766.7174638302495, 763.3459777390641, 752.4841574827443, 759.646131113036, 759.646131113036, 759.646131113036, 741.2472437552351, 741.2472437552351, 741.2472437552351, 741.2472437552351, 741.2472437552351, 818.6786827407115, 818.6786827407115, 818.6786827407115, 818.6786827407115, 818.6786827407115], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_lr = ([766.7174638302495, 776.6703985394611, 767.5207187488357, 731.4117231053389, 731.4117231053389, 731.4117231053389, 722.0607066155485, 722.0607066155485, 722.0607066155485, 722.0607066155485, 722.0607066155485, 768.4544978435883, 768.4544978435883, 768.4544978435883, 768.4544978435883, 768.4544978435883], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_lr = ([766.7174638302495, 770.6757624536044, 768.2870375369938, 736.6646137928124, 736.6646137928124, 736.6646137928124, 748.1183265101233, 748.1183265101233, 748.1183265101233, 748.1183265101233, 748.1183265101233, 809.4356134089751, 809.4356134089751, 809.4356134089751, 809.4356134089751, 809.4356134089751], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_sg = ([9.465126727424003e+19, 1.1938195777675164e+20, 4.1394591021644415e+19, 2.778980259391352e+19, 3.046602408308655e+20, 1.1538963739654216e+20, 6.169648516213958e+19, 5.477032092689207e+19, 2.933465956836315e+19, 5.531504788470902e+19, 9.013275279679297e+20, 1.8282433004323572e+19, 4.60210142186728e+19, 3.85492171188492e+19, 1.197862654962393e+19, 3.6567960611465593e+19], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_sg = ([5.5611533258829496e+20, 4.910050798484485e+19, 2.846533845216169e+19, 3.0072447579771096e+20, 2.198384045554738e+19, 1.5015049491764098e+20, 1.6226323931250917e+20, 2.330787440960641e+19, 2.0145448238225285e+19, 3.977980999109341e+19, 2.7697412914953e+19, 1.2768497812390857e+19, 5.447169614850429e+19, 2.1682172336486576e+19, 2.1537602852866736e+19, 3.1023286512876483e+19], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_sg = ([1.4133353741838469e+20, 3.810352376299124e+19, 2.921935759403807e+20, 8.360175039358337e+19, 3.5083644676094796e+19, 1.4064557994066405e+19, 4.847860348681141e+19, 4.5347499368736784e+19, 2.419236367086249e+19, 2.7905097349521297e+19, 1.2940178788901244e+20, 1.2192230577783038e+19, 7.083249697659516e+19, 1.1077802132212632e+19, 8.397283225039528e+19, 1.786140562219006e+19], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_sg = ([1.0118863004613154e+20, 3.1120848613911155e+19, 2.9297825707126043e+19, 2.6109387555249148e+19, 3.0422081979733496e+19, 2.697511312632369e+19, 3.5012085950546854e+19, 3.2538435774235193e+19, 5.783567306781935e+19, 2.2278991855033135e+19, 1.2317443111954137e+20, 6.901909892326818e+18, 9.811073490429147e+18, 1.7537947463131744e+19, 1.4412167838159974e+19, 2.8479336574051934e+19], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_sg = ([3.8092985449886015e+19, 1.0434122344733514e+20, 1.2420885470119299e+20, 2.9076729259738507e+20, 2.0327853662005936e+19, 3.5749432539860644e+19, 3.427311041783638e+19, 1.8286476250937606e+20, 8.337614795466962e+19, 3.4174892893179097e+19, 1.0726665595539692e+20, 3.535417716554169e+19, 5.216521295077271e+19, 9.724003068770136e+18, 3.2203510405922996e+19, 1.608340263636656e+19], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_sg = ([3.4178929158379856e+19, 1.500296973093525e+20, 4.005421734068191e+20, 4.4269458614192334e+20, 1.759218128587866e+20, 2.7300173929780945e+19, 9.428306093210994e+19, 3.305664367336597e+19, 1.4977812801739977e+19, 5.538948785143883e+18, 1.0705471604495368e+20, 1.1094648638365034e+19, 1.0408545498924059e+19, 4.620951089434048e+19, 8.774796090378152e+18, 2.6962819564975776e+19], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_kr = ([770.5552302692274, 733.1779751043247, 787.1863981644198, 710.3579273319635, 710.3579273319635, 710.3579273319635, 738.6352882194927, 738.6352882194927, 738.6352882194927, 738.6352882194927, 738.6352882194927, 764.4471887193054, 764.4471887193054, 764.4471887193054, 764.4471887193054, 764.4471887193054], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_kr = ([770.5552302692274, 746.1392843317615, 749.7331536330137, 738.9326671977389, 738.9326671977389, 738.9326671977389, 745.270675248597, 745.270675248597, 745.270675248597, 745.270675248597, 745.270675248597, 810.1447836755304, 810.1447836755304, 810.1447836755304, 810.1447836755304, 810.1447836755304], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_kr = ([770.5552302692274, 752.854879905412, 763.3038735438387, 734.7406001103442, 734.7406001103442, 734.7406001103442, 777.9863782094075, 777.9863782094075, 777.9863782094075, 777.9863782094075, 777.9863782094075, 794.9295105745188, 794.9295105745188, 794.9295105745188, 794.9295105745188, 794.9295105745188], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_kr = ([770.5552302692274, 753.2229853256006, 745.8159661799327, 756.896534158749, 756.896534158749, 756.896534158749, 743.4582266043291, 743.4582266043291, 743.4582266043291, 743.4582266043291, 743.4582266043291, 820.0581283163935, 820.0581283163935, 820.0581283163935, 820.0581283163935, 820.0581283163935], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_kr = ([770.5552302692274, 777.2936527824294, 760.5034869674424, 728.2735760997417, 728.2735760997417, 728.2735760997417, 716.8621966863942, 716.8621966863942, 716.8621966863942, 716.8621966863942, 716.8621966863942, 785.1716247371844, 785.1716247371844, 785.1716247371844, 785.1716247371844, 785.1716247371844], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_kr = ([770.5552302692274, 766.2244955250444, 762.7679645514751, 731.2761756715549, 731.2761756715549, 731.2761756715549, 742.705730027507, 742.705730027507, 742.705730027507, 742.705730027507, 742.705730027507, 753.7919523675228, 753.7919523675228, 753.7919523675228, 753.7919523675228, 753.7919523675228], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_sv = ([2309.8144585818313, 2309.8346778051937, 2309.829952267492, 2309.8284374636232, 2309.8284374636232, 2309.8284374636232, 2309.765670634013, 2309.765670634013, 2309.765670634013, 2309.765670634013, 2309.765670634013, 2309.81136204511, 2309.81136204511, 2309.81136204511, 2309.81136204511, 2309.81136204511], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_sv = ([2309.8144585818313, 2309.841668640994, 2309.8300383199366, 2309.938703757697, 2309.938703757697, 2309.938703757697, 2309.833240209795, 2309.833240209795, 2309.833240209795, 2309.833240209795, 2309.833240209795, 2309.741039706945, 2309.741039706945, 2309.741039706945, 2309.741039706945, 2309.741039706945], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_sv = ([2309.8144585818313, 2309.8347494710547, 2309.809980422521, 2309.820175338666, 2309.820175338666, 2309.820175338666, 2309.717141942112, 2309.717141942112, 2309.717141942112, 2309.717141942112, 2309.717141942112, 2309.7699285058743, 2309.7699285058743, 2309.7699285058743, 2309.7699285058743, 2309.7699285058743], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_sv = ([2309.8144585818313, 2309.830533343904, 2309.8060427289897, 2309.7985906841386, 2309.7985906841386, 2309.7985906841386, 2309.7649966192253, 2309.7649966192253, 2309.7649966192253, 2309.7649966192253, 2309.7649966192253, 2309.7988110738606, 2309.7988110738606, 2309.7988110738606, 2309.7988110738606, 2309.7988110738606], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_sv = ([2309.8144585818313, 2309.8324959109414, 2309.815614649439, 2309.815401198806, 2309.815401198806, 2309.815401198806, 2309.7340759294752, 2309.7340759294752, 2309.7340759294752, 2309.7340759294752, 2309.7340759294752, 2309.7321196484286, 2309.7321196484286, 2309.7321196484286, 2309.7321196484286, 2309.7321196484286], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_sv = ([2309.8144585818313, 2309.847457155849, 2309.833751945692, 2309.869108661561, 2309.869108661561, 2309.869108661561, 2309.868379537959, 2309.868379537959, 2309.868379537959, 2309.868379537959, 2309.868379537959, 2309.783940798583, 2309.783940798583, 2309.783940798583, 2309.783940798583, 2309.783940798583], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) ## NOISE ADDITION dbT_d_5_1_12_nAdd_lr = ([-35.882598107610875, -21.745993098028748, -1.6435257671879526, -23.0149791433239, -44.25507707984366, -38.28064643543519, -45.24735663685283, -39.27179546977368, -44.49704141585039, -38.68940179935555, -41.52238401582679, -42.977456885925335], [1, 0, 1, 1, 1, 0, 2, 2, 2, 1, 2, 0]) dbT_d_5_2_12_nAdd_lr = ([-34.182041877106144, -55.74666004218204, -48.389755026344346, -52.609281686387476, -37.826967577771484, -29.778180622639184, -37.155771360180665, -38.53035005713093, -39.2407075881448, -51.5805347853136, -36.41302655463687, -46.55421522262452], [2, 3, 0, 1, 1, 2, 0, 0, 1, 0, 0, 3]) dbT_d_4_3_12_nAdd_lr = ([-41.35667856440898, -30.37380981503179, -32.136847743663566, -40.40339392154374, -38.10147786962091, -50.30995095640367, -9.202379724135085, -19.751197955324642, -40.8195965926343, -49.402310274251136, -43.499722960827285, -31.750057095211673], [1, 1, 2, 0, 3, 1, 0, 2, 0, 0, 1, 0]) dbT_d_4_4_12_nAdd_lr = ([-29.26655957150649, -43.59315732634013, -29.746478860264915, -40.675266712392386, -30.70407149128755, -25.718684539099627, -49.89279915061729, -36.85180413945909, -45.53674758439274, -28.133524879576157, -68.31585431182384, -28.021729746130518], [2, 3, 3, 1, 1, 0, 1, 2, 4, 1, 2, 1]) dbT_d_3_5_12_nAdd_lr = ([-35.20391047069609, -29.139798781932086, -33.8212629159101, -46.44087513314457, -39.16058213285771, -24.108778505685223, 3.7494242838210994, -21.57296763593422, -51.00654413502434, -36.26656559882008, -38.11677705474574, -38.02666923120046], [1, 1, 1, 2, 1, 0, 3, 2, 0, 1, 1, 0]) dbT_d_2_6_12_nAdd_lr = ([-27.087308402739836, -7.3658078053920235, -29.751572352432845, -33.8676204065149, -51.76100678658497, -33.984937430486866, -33.287809048258055, -31.77710483125179, -28.71856407339658, -56.3587234617969, -46.29609928842069, -29.52491123100333], [0, 1, 0, 4, 2, 0, 1, 1, 1, 1, 1, 2]) dbT_d_5_1_12_nAdd_sg = ([1.601003868980898e+20, -6.170810208678528e+19, 2.2738308119425778e+19, -8.678706017184671e+19, 2.5093549200525066e+18, 1.0296779228598338e+19, -8.384854297691868e+19, -5.543073038003242e+19, -7.3777806439692845e+19, -7.273152251529116e+19, 1.3583352595491286e+20, -4.678983138990378e+19], [1, 3, 3, 2, 2, 0, 1, 1, 1, 2, 1, 2]) dbT_d_5_2_12_nAdd_sg = ([-5.1056362102232875e+20, -1.9651683166357422e+18, -5.280515756869659e+20, -5.1241781175508546e+20, -5.023820509388184e+20, -4.315898184214289e+20, -4.955211262396643e+20, -4.6995286964460454e+20, -1.0482020244847224e+20, -5.2760527162682986e+20, -5.18326254436544e+20, -2.7530916543595728e+20], [0, 2, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0]) dbT_d_4_3_12_nAdd_sg = ([-1.0177939178911898e+20, -7.904336828784968e+19, 4.1734392494705895e+20, -9.848034194430001e+19, -1.3837008668284066e+20, -1.2766178731451538e+20, -1.209815080036036e+20, -5.180959122211483e+19, -8.96629283300932e+19, -1.1815026452577734e+20, -1.3035334586587215e+20, -1.2995940739169098e+20], [0, 0, 0, 1, 0, 2, 1, 2, 3, 0, 0, 3]) dbT_d_4_4_12_nAdd_sg = ([-4.960655007377947e+19, 1.8035148839228703e+18, -7.705954075900314e+18, -5.938005934935893e+19, -5.791482170178789e+19, -6.170284539960048e+19, -3.661003547353505e+19, -4.580645680308459e+19, 3.455724401108293e+20, 2.3394371599028185e+20, 5.820644023778516e+20, -5.844467784720443e+19], [1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 2, 0]) dbT_d_3_5_12_nAdd_sg = ([-2.4614357460017817e+20, -2.744430186150256e+20, -1.5375202081578438e+20, -2.4987068909308445e+20, -2.6210481183616588e+20, -2.26217754917319e+20, -2.1546294392440658e+20, -2.0563764295420825e+20, -9.09072791321636e+19, -2.29056882651955e+20, -2.4470968013566863e+20, -2.4222264543507684e+20], [0, 0, 2, 1, 2, 2, 2, 1, 1, 0, 0, 1]) dbT_d_2_6_12_nAdd_sg = ([-2.9876260426878714e+19, 2.543763925171678e+20, 1.5176564030434646e+20, 2.0466903516372255e+19, -5.697571742651714e+19, -3.5855639307696316e+19, -5.889762432438229e+19, -5.659184071050015e+19, -9.936370707431645e+18, -5.666757140197937e+19, -2.7023062938662257e+19, -4.903667588443454e+19], [2, 1, 1, 0, 0, 1, 2, 1, 0, 0, 2, 3]) dbT_d_5_1_12_nAdd_kr = ([-50.7564148775009, -46.90080810588711, -40.0562625588766, -34.90586417140139, -55.121281678529385, -44.32155570767088, -48.962576795734435, -40.44453955496533, -22.725205053631726, -46.22892533124343, -31.026744924162244, -42.35177429426096], [2, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0]) dbT_d_5_2_12_nAdd_kr = ([-29.521416990815737, -37.00265922991787, -58.68436722343745, -45.186733152468264, -44.36219064087379, -51.3431756341389, -49.08669491591047, -29.649503174792017, -41.38188468550629, -45.17743786145968, -44.26190349811077, -41.49946444910779], [1, 1, 0, 1, 4, 0, 0, 1, 4, 0, 2, 0]) dbT_d_4_3_12_nAdd_kr = ([-35.278880331111736, -41.50239582010215, -49.40308313405103, -39.78410564574051, -40.86567251717281, -41.425923204157584, -45.270841724644924, -21.660686296319, -62.608058695340105, -46.350437432887475, -27.182082708551206, -37.405431628619795], [3, 2, 1, 3, 0, 1, 1, 1, 0, 1, 1, 0]) dbT_d_4_4_12_nAdd_kr = ([-19.20324088403561, -51.02519730975155, -47.013708099656355, -37.02881569767533, -35.06376200668467, -40.01760300868898, -37.669981811957086, -33.021639063375005, -36.17717602469884, -30.338739591054832, -46.3754882060241, -44.28492766552017], [1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 0, 0]) dbT_d_3_5_12_nAdd_kr = ([-35.33110454621499, -25.014925767705563, -34.841106493616735, -46.677327973760725, -31.743169545502155, -47.184919378386894, -30.93399891867, -58.36500291734842, -46.71395631078917, -42.7100884779893, -41.379314065275025, -55.74059952786865], [2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0]) dbT_d_2_6_12_nAdd_kr = ([-21.705690213362686, -39.558138510409094, -57.07779839516763, -40.05241407876815, -36.19360660675841, -34.748168609292065, -38.31633861632213, -41.792793642756806, -33.31951952690349, -18.35747202271898, -48.07255221730918, -52.39299103386156], [0, 4, 0, 0, 0, 2, 1, 1, 0, 2, 2, 0]) dbT_d_5_1_12_nAdd_sv = ([0.06148359610415355, 0.05011064188238379, 0.09690253872122412, 0.07740799053271985, 0.0772318154840832, 0.09626171400668682, 0.08758915420230551, 0.07247263294084405, 0.07728817275119582, 0.06806769471950247, 0.03722722161001002, 0.07080138188393903], [1, 0, 2, 3, 1, 2, 0, 0, 3, 0, 1, 0]) dbT_d_5_2_12_nAdd_sv = ([0.23328089790675222, 0.2439818635739357, 0.23888537074026317, 0.2136781261856413, 0.1695702352421904, 0.17374049203635877, 0.2354194604172335, 0.18776459292803338, 0.1920270379619069, 0.21254298303165342, 0.19012251091271537, 0.19468918271786606], [1, 0, 2, 0, 0, 1, 2, 1, 0, 0, 1, 1]) dbT_d_4_3_12_nAdd_sv = ([0.22893961354384373, 0.22201111823324027, 0.14872804276319584, 0.23753300899034002, 0.14081006369269744, 0.2184668529494047, 0.16129642921578125, 0.22823945519621702, 0.20983345133481635, 0.25437128723569913, 0.17685236339548283, 0.21673805256796186], [2, 0, 1, 0, 2, 0, 2, 1, 0, 2, 0, 0]) dbT_d_4_4_12_nAdd_sv = ([0.17982666916850576, 0.17628585976945033, 0.2725381388677306, 0.2005559036761042, 0.23091211591690808, 0.20406076369317816, 0.22809700450261516, 0.19706490205953742, 0.2660841144106598, 0.22784229245826282, 0.2063944420488042, 0.1960620882700823], [2, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1]) dbT_d_3_5_12_nAdd_sv = ([0.25537405802333524, 0.18316569827538842, 0.2302635968726463, 0.2157039802627878, 0.22633095337369014, 0.23218956949312997, 0.21795045822136672, 0.22128571563644073, 0.2328233437056042, 0.24742608560472945, 0.2540437480147375, 0.23037498173061977], [0, 0, 2, 1, 0, 2, 1, 2, 0, 0, 2, 1]) dbT_d_2_6_12_nAdd_sv = ([0.24050454194184567, 0.24215855863485558, 0.22208368022756986, 0.1995486665032331, 0.2348326556975735, 0.2362636471393671, 0.22634133994915828, 0.21347564723055257, 0.22845726687410206, 0.23421911967261622, 0.23057258629751232, 0.23493928582638546], [1, 2, 3, 3, 1, 1, 0, 2, 2, 1, 1, 1]) dbT_e_5_1_12_nAdd_lr = ([766.7174638302495, 725.9863052912332, 737.3294205469689, 714.5833926782882, 727.5536168304541, 725.5200743604105, 725.998306044446, 731.6961086775433, 758.3633387484967, 717.2972461084823, 719.5617866468706, 731.9426332258022, 714.1067347516486], [400, 0, 2, 1, 1, 0, 2, 3, 0, 2, 3, 0, 0]) dbT_e_5_2_12_nAdd_lr = ([766.7174638302495, 747.5963275857727, 748.0975182705105, 727.1088767180834, 717.5395730449357, 725.1948059638834, 729.7006523832467, 726.3499023805101, 723.326625394417, 723.0663715745557, 738.1678879960223, 745.8367900326905, 724.8746215617358], [400, 1, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 3]) dbT_e_4_3_12_nAdd_lr = ([766.7174638302495, 728.9905217806165, 734.6563374073376, 742.8851284359267, 737.0823547923585, 729.6289756527204, 734.041712013898, 711.1117154029595, 757.5912604306294, 732.4637570298679, 732.6256955330974, 750.0862997338821, 755.894438728617], [400, 1, 0, 1, 0, 1, 1, 1, 2, 0, 1, 2, 0]) dbT_e_4_4_12_nAdd_lr = ([766.7174638302495, 757.295533178827, 734.1785915283562, 745.0111919842475, 730.8074995990348, 723.9164463955758, 714.6719674972992, 762.5816001112299, 732.8550013313068, 725.7088212902933, 746.771530018506, 719.7602154942364, 744.7221729942507], [400, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0]) dbT_e_3_5_12_nAdd_lr = ([766.7174638302495, 760.2114637274324, 749.4848165309411, 735.031879555961, 710.0905952834628, 726.0951301980342, 714.1684814014992, 736.9261909249166, 735.7436181904175, 729.616789924548, 731.59962647618, 734.0378840147315, 737.9941913808997], [400, 2, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0]) dbT_e_2_6_12_nAdd_lr = ([766.7174638302495, 732.3272813648911, 754.0937670728067, 752.7440435602051, 738.4255790948436, 734.8996902550856, 714.9534429347713, 738.5871100242417, 731.7000311479841, 732.5984729081447, 721.8978106393369, 730.1430037249443, 719.2683644197556], [400, 0, 1, 1, 2, 2, 2, 0, 0, 5, 2, 0, 0]) dbT_e_5_1_12_nAdd_sg = ([8.82342871545615e+20, 4.846643120455808e+19, 8.930642143903878e+19, 3.915729252768301e+19, 2.2177961474425707e+20, 3.0573005894861305e+20, 1.194315279209667e+20, 2.016130787194889e+19, 2.0166606863575495e+19, 4.686806470763657e+19, 1.0578718416435098e+20, 9.279954581986927e+19, 6.986470773873808e+19], [400, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0]) dbT_e_5_2_12_nAdd_sg = ([4.2683020506869845e+20, 6.777430050962592e+20, 8.766625135597938e+19, 8.131692886112865e+19, 4.029502809549206e+19, 1.0432525583900914e+19, 1.3361173751828613e+19, 3.211617843194596e+19, 6.281247787356012e+19, 6.608531945846812e+19, 2.0356583428712514e+20, 7.265674552511159e+19, 3.010989229907392e+19], [400, 3, 0, 1, 0, 0, 0, 2, 1, 0, 3, 1, 1]) dbT_e_4_3_12_nAdd_sg = ([4.267547119553967e+19, 7.850698302500523e+19, 3.1588301617973625e+20, 9.38238910803492e+19, 8.468726577858082e+19, 3.4966007857953997e+19, 6.330111153672693e+20, 1.9507108810756755e+19, 2.679252262359712e+19, 1.5415160808646744e+20, 3.6319069707704484e+19, 2.365582509307539e+19, 1.6169722758904607e+19], [400, 0, 2, 1, 0, 2, 4, 2, 2, 0, 0, 0, 1]) dbT_e_4_4_12_nAdd_sg = ([8.22026930935818e+19, 4.4573173727083635e+19, 2.9984932801264136e+19, 4.119814580626039e+19, 6.8247691951752995e+19, 6.057608903731556e+19, 4.159427368710977e+19, 2.4172968973135766e+19, 1.7843667068235838e+20, 1.6898847673082556e+19, 4.594803770041609e+19, 3.1667688057524224e+20, 3.4964671832629993e+19], [400, 1, 1, 1, 2, 0, 2, 0, 1, 0, 0, 1, 0]) dbT_e_3_5_12_nAdd_sg = ([5.483880198668781e+20, 3.354756028664267e+19, 8.248265990868887e+19, 2.9955933799391547e+19, 1.5776053801507514e+20, 7.473729269675786e+19, 1.363105735251383e+19, 3.742879477136065e+19, 1.91692263568328e+20, 4.051380201606814e+19, 2.7359164051591125e+20, 4.42296004935932e+19, 4.709752737024889e+19], [400, 2, 3, 1, 1, 3, 0, 0, 1, 2, 2, 2, 0]) dbT_e_2_6_12_nAdd_sg = ([1.7528414608421818e+20, 1.8817070842918414e+20, 4.010312836138513e+19, 3.712231276579749e+19, 3.8350289006948116e+20, 1.5876325735743396e+19, 2.939234786479868e+19, 5.869928281621597e+19, 1.9523119331828095e+20, 2.643623114331029e+19, 4.673123662446404e+20, 2.715593233709025e+20, 3.228459313042114e+20], [400, 0, 0, 2, 1, 0, 0, 1, 2, 1, 0, 3, 4]) dbT_e_5_1_12_nAdd_kr = ([770.5552302692274, 719.245346660555, 719.8271307153475, 716.8321520763783, 722.132427325928, 721.674904326375, 714.6201724720261, 718.9814797906851, 727.9036841315599, 754.5769582571893, 724.0870915804081, 736.7537925988017, 728.6916586647378], [400, 1, 1, 0, 3, 1, 0, 1, 0, 1, 0, 1, 0]) dbT_e_5_2_12_nAdd_kr = ([770.5552302692274, 761.0901051186366, 716.6123995721938, 726.6367365989701, 720.8399524044936, 710.9981866533772, 736.1687640067548, 733.7687844920289, 729.1119745049144, 734.9172735223606, 728.7350828932496, 729.7027853558569, 739.238325927174], [400, 2, 0, 0, 2, 0, 0, 3, 1, 1, 2, 1, 1]) dbT_e_4_3_12_nAdd_kr = ([770.5552302692274, 708.2917055466526, 732.9139732684667, 722.0428172830241, 726.5605063467146, 734.9816411621155, 739.783965516972, 724.9654214546767, 725.6210105436074, 722.5506124749087, 737.7326176303816, 725.0832864842259, 721.9434050240893], [400, 0, 2, 2, 0, 1, 0, 0, 1, 1, 0, 0, 1]) dbT_e_4_4_12_nAdd_kr = ([770.5552302692274, 728.2184541944736, 722.7458667709335, 720.4053454372809, 746.701474151888, 746.9648209191228, 727.3284709788916, 746.527326421002, 733.0757366710392, 733.2833936831554, 757.3282032703897, 726.3779255563151, 734.7228981810129], [400, 3, 1, 2, 2, 3, 0, 2, 3, 3, 1, 1, 2]) dbT_e_3_5_12_nAdd_kr = ([770.5552302692274, 724.8132460736779, 740.066539164505, 754.0292025407371, 722.7305276454634, 718.2479628044777, 713.5040903377454, 762.7880354939543, 719.3955236622809, 797.1150372799464, 712.4298270734064, 730.993348836661, 731.6601380513424], [400, 2, 3, 0, 1, 3, 0, 1, 2, 2, 1, 2, 2]) dbT_e_2_6_12_nAdd_kr = ([770.5552302692274, 747.8012857210052, 723.1122616373217, 731.0285946332032, 735.840464531873, 720.6516032209441, 731.5896037145977, 735.4667840493994, 719.8463900901935, 719.122614112453, 740.7595445786923, 736.9929021508635, 725.5518877060391], [400, 0, 2, 0, 1, 3, 1, 0, 1, 0, 0, 0, 1]) dbT_e_5_1_12_nAdd_sv = ([2309.8144585818313, 2309.917430020546, 2309.973572463456, 2309.9211482121104, 2309.906259784001, 2309.97528042827, 2309.9099876806317, 2309.9078426413557, 2309.9093214065597, 2309.865207369902, 2309.89369434894, 2309.8741730081215, 2309.8717782618655], [400, 2, 1, 2, 0, 0, 5, 1, 1, 0, 0, 2, 0]) dbT_e_5_2_12_nAdd_sv = ([2309.8144585818313, 2310.0452619835364, 2310.0591245178657, 2309.968663685232, 2309.9907556512003, 2310.008867816982, 2310.0064398335094, 2310.1141627378934, 2310.001451548579, 2310.0614616504513, 2309.998582980875, 2309.994308305542, 2310.080061246209], [400, 1, 0, 0, 0, 1, 0, 3, 1, 4, 1, 1, 0]) dbT_e_4_3_12_nAdd_sv = ([2309.8144585818313, 2310.04541381371, 2310.0675340454154, 2310.0729380014523, 2310.0556700277884, 2310.0282202672824, 2310.020052393351, 2310.015957919544, 2309.998339659086, 2310.0579738089064, 2310.001791174011, 2310.0151589777242, 2310.051509440031], [400, 2, 3, 0, 1, 0, 0, 1, 1, 3, 1, 1, 2]) dbT_e_4_4_12_nAdd_sv = ([2309.8144585818313, 2310.038262525885, 2310.0247109268353, 2310.0256806456755, 2310.0431487104183, 2310.050854656526, 2310.0603859755147, 2310.0569798618712, 2310.030440461834, 2310.0035452778816, 2310.06561005293, 2310.041561960205, 2310.0757077363864], [400, 0, 2, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0]) dbT_e_3_5_12_nAdd_sv = ([2309.8144585818313, 2310.100117011635, 2310.0191448836545, 2310.0850704612226, 2310.035795603124, 2310.0514156696067, 2310.08707016394, 2310.011639825245, 2310.0056876796853, 2309.9921769227326, 2310.06129618332, 2310.053616119029, 2310.0391302060066], [400, 2, 2, 0, 2, 2, 1, 1, 1, 2, 1, 0, 0]) dbT_e_2_6_12_nAdd_sv = ([2309.8144585818313, 2310.048844984583, 2310.016800628331, 2309.9929456478067, 2310.057610173411, 2310.0822976105787, 2310.0401998260663, 2310.04600834079, 2310.0310145455014, 2310.0819649159425, 2310.0371260890474, 2310.0624136719766, 2310.0587987677513], [400, 1, 2, 3, 1, 1, 1, 0, 3, 0, 4, 1, 4]) ## NOISE ADDITION Laplace dbT_d_5_1_12_nAdL_lr = ([-41.97176185902208, -59.66468244993496, -34.86683974353775, -42.755608915388166, -44.61532551970345, -44.78893840702517, -23.45005418029723, -38.667462699987254, -51.81433627222202, -51.78012474557431, -33.86408212487265, -37.95499396743014], [3, 1, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1]) dbT_d_5_2_12_nAdL_lr = ([-40.48793237863299, -37.64611828064801, -30.602436602597095, -43.5251390778717, -41.55698783177138, -35.59459836591702, -33.254948685754925, -49.29657693225363, -33.72349285172777, -42.202683555481485, -35.353839276096096, -18.827227169422827], [1, 1, 1, 2, 1, 1, 0, 2, 0, 3, 4, 0]) dbT_d_4_3_12_nAdL_lr = ([-28.729337965482614, -50.00707837971197, -46.32637533540117, -48.67067814420204, -33.83211434059183, -51.549680227555655, -13.152707381415667, -31.40824582034338, -40.44073949981157, -35.077148034015636, -20.95398930808733, -30.457204492166625], [0, 0, 1, 1, 2, 2, 1, 1, 1, 4, 1, 2]) dbT_d_4_4_12_nAdL_lr = ([-26.303292406545097, -49.84593147784062, -35.29176642325251, -50.11608139064458, -19.92973279314367, -38.40243868280879, -47.833876204506964, -2.852844253553826, -27.68231999207501, -31.343779006585805, -29.739859019760615, -32.42857770445028], [1, 0, 2, 1, 1, 1, 0, 1, 2, 1, 0, 3]) dbT_d_3_5_12_nAdL_lr = ([12.111788918941102, -36.177310761506874, -44.23255553894137, -25.94067580439844, -44.448705671275206, -31.37400882963584, -40.66141732396352, -5.029450204685531, -41.360225643213994, -43.58376193771801, -35.025710385864954, -35.96045014119147], [1, 3, 0, 2, 1, 3, 2, 2, 2, 0, 2, 0]) dbT_d_2_6_12_nAdL_lr = ([-46.12454364968187, -37.33248584817454, -25.87793811125107, -26.00965855500681, -32.223181754779944, -51.22690603111903, -13.140058042823625, -32.3438869623742, -48.635429674473585, -41.47864774172001, -23.730336115545015, -32.613873118981815], [1, 3, 0, 2, 2, 1, 1, 1, 2, 2, 1, 2]) dbT_d_5_1_12_nAdL_sg = ([-9.67647841099669e+19, -1.4879355579437187e+20, -1.4931119630438495e+20, -1.455193144789351e+20, -1.2682988640381569e+20, 9.523627486456028e+19, -9.494962357568923e+19, -1.6017832914536563e+20, -8.147443477977329e+19, -1.585560061986707e+20, 1.3887937341385284e+20, -1.1892839269474946e+20], [0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2]) dbT_d_5_2_12_nAdL_sg = ([-8.29044881416133e+18, 4.665801264241058e+18, -2.6145090770005115e+18, -2.779084163871957e+18, 2.4888523646513373e+19, -1.902413469476283e+19, 1.3788457139864543e+19, 3.0354163396331053e+19, 2.6695144620136014e+19, -3.5331861967955292e+19, -3.4776543317941965e+19, 9.682586080806748e+19], [2, 1, 2, 2, 1, 0, 2, 2, 2, 1, 0, 3]) dbT_d_4_3_12_nAdL_sg = ([9.693848140239045e+18, 4.2068871085554975e+19, 8.433419132947825e+17, -2.080811798904044e+19, 1.2325687583327355e+18, -2.242005391350868e+19, 4.2921366639211866e+20, 1.0785395644367828e+20, -1.7213195814983901e+19, -2.7304956082386706e+19, 1.6967794664979212e+20, 1.2551283515551638e+19], [2, 2, 2, 1, 3, 1, 1, 3, 2, 1, 1, 0]) dbT_d_4_4_12_nAdL_sg = ([-1.4780595204212926e+20, -1.2772499141137013e+20, -8.764368468296181e+19, -2.0300520795090026e+19, 5.3433492952034e+20, -1.0340857671105937e+20, -1.0316990119379157e+20, -5.590024257999926e+19, -1.1391850029596682e+20, -1.0335863735408968e+20, -1.3056417289133176e+20, 2.7645320179231696e+20], [1, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 0]) dbT_d_3_5_12_nAdL_sg = ([-1.0237817744196433e+20, 2.305893105448583e+18, -1.2828591578513559e+20, 3.0748120270778447e+20, -1.338955030996375e+20, -1.752532215102503e+20, 7.466686096692452e+20, -8.254185457812167e+19, -1.6071200399074283e+20, -8.572193245448353e+19, 7.07770436574496e+19, -1.793699247733133e+20], [1, 0, 1, 1, 0, 3, 1, 1, 1, 2, 4, 2]) dbT_d_2_6_12_nAdL_sg = ([4.408365137908921e+19, 2.6748323642636442e+20, 6.763950247665025e+19, 2.5785715850213126e+19, -7.176169354904183e+18, 3.37158240485967e+19, 5.688222593335079e+18, -6.748105915459232e+18, 7.826913526799997e+19, -4.3569445627987046e+18, 6.20654345326099e+19, -4.1246333568116285e+18], [0, 3, 2, 0, 2, 1, 0, 1, 0, 2, 1, 3]) dbT_d_5_1_12_nAdL_kr = ([-37.30020049644736, -41.870431684086384, -40.513204202723045, -44.96095686785691, -51.240484966838494, -42.09105784477822, -42.00708427919176, -56.21769755125683, -63.37830456801112, -41.91230981012643, -60.537178158286565, -50.85260485392905], [1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1]) dbT_d_5_2_12_nAdL_kr ([-30.72008595693842, -48.6327981550844, -40.49929135605407, -53.35139362092434, -40.846800391414604, -52.074236224465835, -35.96555274211414, -39.178225254070185, -42.523781313411405, -39.48871338119068, -38.788926107582824, -36.8588900869056], [2, 1, 1, 1, 2, 0, 1, 1, 1, 1, 1, 1]) dbT_d_4_3_12_nAdL_kr = ([-42.12515009110086, -53.077387075485944, -36.67072485702772, -42.084526777643305, -36.73931179183626, -53.28844268389935, -42.314714433470385, -49.00575882436317, -49.29859294719063, -38.07221976894289, -46.00544005425104, -42.40652209739369], [0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 1]) dbT_d_4_4_12_nAdL_kr = ([-54.16622938197929, -53.913448429545724, -40.39920635892247, -45.94108847907535, -42.085422454529976, -31.592275708811144, -47.00390692280075, -48.300798718610054, -38.90579776698496, -42.20819814477477, -42.87982139275175, -42.022649289337096], [2, 3, 1, 1, 3, 2, 1, 1, 1, 0, 2, 2]) dbT_d_3_5_12_nAdL_kr = ([-28.72803922481762, -48.981626915219636, -41.83889756980477, -33.09611295293075, -34.94141870820283, -38.89758488226289, -48.13532806295996, -45.43695211933084, -32.83781825148458, -45.7699584012023, -41.166345454437305, -40.94979194369671], [1, 0, 1, 0, 0, 0, 3, 0, 0, 1, 0, 2]) dbT_d_2_6_12_nAdL_kr = ([-38.31897208031182, -53.0713604354745, -28.349823546466382, -36.691111587057776, -43.642955405753355, -43.195905106469695, -56.128072093032756, -27.678323167986377, -31.932227633021967, -54.275705004928795, -48.0894885103404, -43.48344370279824], [2, 0, 1, 1, 1, 1, 3, 0, 2, 1, 0, 3]) dbT_d_5_1_12_nAdL_sv = ([0.07810003199301718, 0.04874298299273505, 0.0464140180170034, 0.08310562009501155, 0.0490786984787519, 0.052561876810614194, 0.15929309011653459, 0.06039490802868386, 0.07628791917977651, 0.07503649890304587, 0.13158408645631425, 0.08396808698898894], [0, 0, 0, 1, 1, 1, 1, 0, 1, 2, 3, 0]) dbT_d_5_2_12_nAdL_sv = ([0.22158591041215914, 0.21945458576919918, 0.10673971919595715, 0.21568889106265487, 0.23235672278087804, 0.22051361924559387, 0.17934722803829573, 0.16391907128536332, 0.20363586666417177, 0.2367335856702084, 0.19361191545976908, 0.18922822813237872], [2, 0, 1, 1, 1, 1, 0, 0, 0, 2, 0, 2]) dbT_d_4_3_12_nAdL_sv = ([0.22285401792623816, 0.1805497598884358, 0.2040659305534973, 0.18665010884205913, 0.2059634540632942, 0.23062040960166996, 0.18819974991583877, 0.17314501347254918, 0.25646263270255076, 0.1764383229683517, 0.21809478385557668, 0.2162015684148173], [2, 0, 0, 0, 3, 0, 0, 0, 2, 1, 3, 3]) dbT_d_4_4_12_nAdL_sv = ([0.21743774448759723, 0.2174367548304872, 0.21485528538096332, 0.18713429300396456, 0.1932620900574875, 0.23614489611236422, 0.18701029599424146, 0.2365894355925775, 0.21825361782566688, 0.218589675041585, 0.19030009977859663, 0.24199349013179017], [2, 1, 2, 2, 1, 3, 4, 1, 2, 2, 1, 1]) dbT_d_3_5_12_nAdL_sv = ([0.27507395551901936, 0.19465494270389172, 0.23583689022325416, 0.1461759352032459, 0.2555361769709634, 0.24423691257561586, 0.22361118229309795, 0.27200436554585394, 0.2773634877958102, 0.15801204047374995, 0.23345781056286796, 0.2196517922775456], [1, 1, 0, 2, 1, 1, 0, 0, 0, 1, 0, 0]) dbT_d_2_6_12_nAdL_sv = ([0.24108249264099868, 0.20489004759701857, 0.2369435551481729, 0.25241249611235617, 0.1746434200163094, 0.25601288341795225, 0.2271144669448404, 0.22157230422362773, 0.21603079009219073, 0.2629961412912962, 0.23216085290141564, 0.22281750651200127], [3, 1, 2, 1, 1, 0, 3, 1, 1, 0, 1, 0]) dbT_e_5_1_12_nAdL_lr = ([766.7174638302495, 737.6705886818331, 730.8215707688821, 727.9452086648442, 724.9626995151144, 720.4384151614513, 719.2435961644022, 746.5634605446031, 727.8114240682672, 728.6633755004832, 722.1437829302048, 721.9661850617005, 725.4413374478971], [400, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1]) dbT_e_5_2_12_nAdL_lr = ([766.7174638302495, 728.7060508700777, 740.7170052563624, 739.7544835462539, 731.989774305798, 732.4491723105083, 733.0061193658503, 739.4913489531028, 737.2681434566564, 735.354515700931, 737.7903022010869, 713.6740167192912, 727.6043756162964], [400, 1, 2, 0, 1, 2, 1, 2, 1, 2, 1, 1, 1]) dbT_e_4_3_12_nAdL_lr = ([766.7174638302495, 724.492612378833, 741.7485441902154, 720.2529258133736, 720.5991135070996, 740.1106432301439, 729.3677970045233, 728.8798528483544, 734.4777014295117, 732.1997707793989, 716.5935591280232, 737.7884972927976, 724.0989855662984], [400, 1, 1, 0, 0, 2, 1, 0, 2, 0, 0, 2, 1]) dbT_e_4_4_12_nAdL_lr = ([766.7174638302495, 718.6140007609273, 728.5569842271904, 716.5535265433808, 730.0292881273584, 723.4671646225441, 715.6233705703469, 736.9679515004841, 730.7849107165871, 760.7840665471899, 721.4628698786477, 736.7189493071897, 729.5977957002707], [400, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 0]) dbT_e_3_5_12_nAdL_lr = ([766.7174638302495, 714.978951263198, 725.5642518756498, 727.3721793967071, 723.4815514190155, 755.8091235028326, 725.113612235032, 727.7879519205542, 735.2770751246561, 731.4147024527787, 745.2573848361731, 755.5652925926108, 727.0915385524548], [400, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0]) dbT_e_2_6_12_nAdL_lr = ([766.7174638302495, 746.5189179271606, 726.2890670472211, 738.5834008243585, 725.4712340991556, 743.351758469165, 734.1503457015617, 722.2618750114486, 751.9965228375975, 719.3104474435819, 732.4973480008346, 713.478719430745, 728.8921099704903], [400, 1, 0, 1, 1, 2, 0, 2, 1, 1, 2, 1, 1]) dbT_e_5_1_12_nAdL_sg = ([2.624037951045686e+19, 2.306470884319751e+19, 5.587752892712965e+19, 4.970789651347588e+19, 7.1646014128984785e+19, 1.2485934311221027e+20, 1.8434982625023541e+19, 6.43612051464506e+19, 1.5965369983488995e+19, 8.732882434467889e+19, 6.907222627885242e+19, 2.2559056836816843e+19, 2.323817976205403e+19], [400, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 4]) dbT_e_5_2_12_nAdL_sg = ([6.366152514482523e+19, 6.481207262645448e+19, 9.061116691575434e+19, 5.517566030824498e+19, 7.549189603428635e+19, 1.9402601787085226e+19, 4.6031247490573815e+20, 5.897060274802763e+19, 1.833562036369836e+20, 7.201521365173083e+20, 2.668319127767922e+20, 3.826468597952325e+19, 1.7765208054289447e+19], [400, 0, 1, 0, 0, 1, 0, 3, 4, 0, 1, 1, 0]) dbT_e_4_3_12_nAdL_sg = ([8.957850707864553e+19, 1.0914274972195791e+20, 3.7186105702741836e+19, 5.905428609157131e+20, 5.193005578926248e+19, 9.114875022171267e+19, 9.555357638627589e+19, 4.175240470537484e+19, 7.2513422808389935e+19, 2.4466919749357904e+19, 2.410760057815113e+19, 5.970018103029957e+19, 2.014367043706578e+19], [400, 2, 1, 2, 2, 1, 1, 0, 0, 0, 0, 1, 0]) dbT_e_4_4_12_nAdL_sg = ([2.006066744963597e+19, 3.6216007790632174e+20, 4.9157223896433204e+20, 1.482817711206706e+19, 2.6017200858250195e+19, 7.45063632188219e+19, 3.2254318062887895e+19, 3.141126408266321e+20, 6.97781692217361e+19, 1.7155305700769602e+19, 1.9387784793199464e+19, 9.274116319208004e+19, 6.062619731286001e+19], [400, 2, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 2]) dbT_e_3_5_12_nAdL_sg = ([6.534912591345212e+19, 1.9233067392289417e+20, 2.2619979463790092e+19, 8.605980409439714e+19, 3.3889358655889585e+20, 1.4752353632639372e+20, 2.3504415386864243e+19, 1.3776450662236234e+20, 1.116669491243784e+19, 6.0932407341110534e+19, 1.5376952792100188e+19, 4.264002712084262e+19, 5.582217906565408e+19], [400, 0, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1]) dbT_e_2_6_12_nAdL_sg = ([9.091810334086038e+19, 1.3101411602673312e+19, 2.9542483598127006e+19, 7.096253370267892e+19, 2.3621708049396466e+19, 1.4742978576012824e+20, 5.764296140259876e+19, 8.169945003145437e+19, 4.6245893637539365e+19, 2.2116849612954003e+20, 5.889718394047179e+19, 2.815384694840531e+19, 6.361194458516476e+20], [400, 1, 0, 0, 1, 1, 2, 2, 3, 1, 1, 1, 0]) dbT_e_5_1_12_nAdL_kr = ([770.5552302692274, 724.8407221337167, 739.7991604459149, 734.7552340259182, 699.1901144185643, 761.024678489858, 732.5152741145165, 725.1948844729833, 720.2739714717596, 719.785178963321, 732.6203075375709, 715.633289707827, 716.8732150658838], [400, 1, 3, 2, 2, 2, 1, 2, 2, 1, 0, 1, 2]) dbT_e_5_2_12_nAdL_kr = ([770.5552302692274, 727.2332100633004, 731.350268035549, 725.1419767448655, 713.0204673380697, 712.0669109394778, 734.5280464838498, 776.0750445223479, 744.2407058704867, 737.9516478869765, 718.1923336103055, 707.4656734033844, 722.9011283046715], [400, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 3]) dbT_e_4_3_12_nAdL_kr = ([770.5552302692274, 741.7621463597787, 731.3392554470607, 720.1934913338021, 722.9289838200613, 724.5177202309566, 728.1223187401347, 722.8050173439894, 750.1762082600446, 728.6311274091012, 729.378838802901, 721.7462469397931, 710.0380618021007], [400, 1, 2, 0, 0, 0, 0, 4, 1, 3, 1, 3, 2]) dbT_e_4_4_12_nAdL_kr = ([770.5552302692274, 709.2522515445125, 732.5523894665879, 716.8076674276928, 799.1680546933829, 730.3032370556614, 725.8362585692589, 725.7458700681541, 733.521371134088, 714.0577573233718, 747.9081434075538, 718.2357683563055, 735.312483057374], [400, 0, 3, 2, 2, 2, 1, 1, 1, 2, 0, 0, 1]) dbT_e_3_5_12_nAdL_kr = ([770.5552302692274, 732.8926042399138, 719.0589491212606, 727.5965870395634, 720.9001593626737, 718.158232826497, 734.8296647427045, 734.8395571566302, 742.7851712504612, 692.4757342810858, 735.4192909063559, 744.5693053752298, 739.9582944515591], [400, 1, 2, 1, 2, 0, 2, 2, 0, 0, 1, 0, 1]) dbT_e_2_6_12_nAdL_kr = ([770.5552302692274, 723.658684767579, 719.6692288842048, 728.024071439705, 725.8404493221593, 733.9194025661387, 730.545473524862, 728.6911519011155, 740.920968081976, 717.4543264028061, 729.6888720947626, 735.6340036769757, 733.3013806220457], [400, 2, 2, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1]) dbT_e_5_1_12_nAdL_sv = ([2309.8144585818313, 2309.9090992191655, 2309.898267511749, 2309.914310890772, 2309.876109018407, 2309.8901120426253, 2309.8990264828194, 2309.8887347714467, 2309.8902449533975, 2309.9082106651304, 2309.874578621382, 2309.8947896245218, 2309.9084069222963], [400, 0, 1, 1, 1, 1, 2, 0, 1, 0, 3, 1, 1]) dbT_e_5_2_12_nAdL_sv = ([2309.8144585818313, 2310.0167905172725, 2310.1183273971005, 2310.0523530176333, 2310.020102903555, 2310.034211342559, 2310.045929041126, 2309.9971500010347, 2310.028543506994, 2310.016727269548, 2310.02693073126, 2310.022725660138, 2310.030941810462], [400, 0, 0, 0, 2, 1, 3, 0, 1, 0, 1, 1, 0]) dbT_e_4_3_12_nAdL_sv = ([2309.8144585818313, 2310.0210953777996, 2310.0286385777126, 2310.0708254265533, 2309.9897139841696, 2310.0460728930807, 2310.0255033639996, 2310.040523124793, 2309.967944580509, 2310.0302421920446, 2310.005392385725, 2310.022383228534, 2310.047060586626], [400, 1, 1, 2, 0, 1, 3, 2, 2, 1, 1, 0, 0]) dbT_e_4_4_12_nAdL_sv = ([2309.8144585818313, 2310.018286166803, 2309.996636029638, 2310.042683776685, 2310.077660094453, 2310.0715859967445, 2310.057488082077, 2310.050931007681, 2310.0004361878405, 2310.0648209615215, 2310.0420976135924, 2310.0125542609767, 2310.0694245933714], [400, 1, 2, 2, 1, 1, 0, 1, 0, 2, 0, 6, 2]) dbT_e_3_5_12_nAdL_sv = ([2309.8144585818313, 2310.0801822517687, 2310.031473779729, 2310.0565077471592, 2310.030932596818, 2310.0594663561137, 2309.9810663094986, 2310.006766226577, 2310.0308018632345, 2310.086905716263, 2310.071324202157, 2310.0139210375883, 2310.03122002829], [400, 3, 0, 2, 2, 1, 1, 0, 1, 1, 0, 0, 3]) dbT_e_2_6_12_nAdL_sv = ([2309.8144585818313, 2310.029870113591, 2310.0683566888843, 2310.043919792346, 2310.038589761665, 2310.018080857037, 2309.9973383802835, 2310.0221630478445, 2310.0466557665395, 2310.047503052334, 2309.9902298159363, 2310.0677161100593, 2310.116087173596], [400, 2, 2, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1]) ## NMF dbT_d_5_1_12_nmf_lr = ([1.8314106482406487, -54.07432278063595, -50.30081981123374, -10.351804874234745, 5.91596587076981, 29.452662897645496, 12.177568297252037], [7, 2, 11, 12, 76, 58, 165]) dbT_d_5_2_12_nmf_lr = ([33.5205376225656, 9.40208233260023, -19.849127005929745, 12.334679232207236, 28.801462782146245, 0.3241549477799026, 0.9943906192427221], [7, 2, 23, 32, 79, 391, 381]) dbT_d_4_3_12_nmf_lr = ([-23.35355815306093, -21.81477513270943, 18.23537785813221, 2.57957787302405, 33.10720651755935, -1.9387308591997225, 0.2772032908270603], [2, 10, 14, 59, 122, 361, 390]) dbT_d_4_4_12_nmf_lr = ([-30.65553976711601, -49.861864291690495, -4.5051587688849395, 15.379622439514833, 16.088641727529193, -1.6636865776010836, 0.0], [8, 21, 73, 128, 149, 369, 400]) dbT_d_3_5_12_nmf_lr = ([0.610022488889058, -47.831635462829695, 20.51498762161384, 21.586735674154397, 43.883228717004044, 1.1123140420204436, 0.2881360064571936], [12, 19, 84, 135, 212, 347, 399]) dbT_d_2_6_12_nmf_lr = ([-35.91103540698225, -23.28648459541887, -10.809264842410926, 11.41673651432211, 7.091172437823047, 4.272895145879261, 0.41085644196539306], [3, 10, 56, 145, 201, 375, 392]) dbT_d_5_1_12_nmf_sg = ([3.077463000518917e+20, 4.435445207900499e+20, -1.5854242021834818e+19, -4.4540266214742917e+18, -1.874976897245985e+19, -7.700564550303547e+18, 4.1496869618911027e+18], [7, 3, 15, 12, 70, 166, 112]) dbT_d_5_2_12_nmf_sg = ([-1.3542436376318819e+20, -1.9367867371655758e+20, -1.8838220306686932e+20, -2.0985026662283526e+20, -2.0886785975864918e+20, -2.185269797347473e+20, -1.6037314532454682e+20], [7, 2, 23, 33, 83, 338, 386]) dbT_d_4_3_12_nmf_sg = ([-1.5823041450377503e+18, 1.0912997647516807e+19, 5.5754421687175276e+20, 4.0292461114045006e+19, -9.174183229058623e+18, 2.6309926570527003e+19, 1.7890273999031759e+19], [2, 10, 15, 27, 116, 357, 385]) dbT_d_4_4_12_nmf_sg = ([-8.123696244321063e+18, 1.0563861039177685e+20, -1.273532736601013e+19, 6.68532643724448e+20, 2.6671534948323734e+19, 6.202369888459149e+18, 2.0798229024378008e+19], [9, 20, 81, 127, 146, 371, 397]) dbT_d_3_5_12_nmf_sg = ([2.992491741612765e+20, 6.448917955924048e+20, -1.430913615203344e+19, 6.286172818099866e+20, 3.4252893373819167e+18, 6.653483144501817e+18, -1.915930326296693e+19], [12, 19, 73, 138, 238, 343, 398]) dbT_d_2_6_12_nmf_sg = ([-2.16178660548147e+19, 1.34982672701715e+19, -2.857006150415996e+19, 1.8904517713052192e+20, -3.748534216112571e+19, 1.544890357512323e+18, -1.6424955215063167e+19], [3, 10, 59, 142, 202, 375, 391]) dbT_d_5_1_12_nmf_kr = ([-17.654185511090077, -56.60061106473165, -51.18197637013918, -16.19348588195703, -5.23069571040935, 33.35384972703264, -1.3169991488440473], [6, 3, 12, 11, 76, 97, 181]) dbT_d_5_2_12_nmf_kr = ([19.622714702311328, -5.3953243308108085, -25.55718112388081, -37.58996894183156, 25.551210151584883, -6.178094000041369, -2.773201141443792], [8, 2, 22, 20, 85, 360, 381]) dbT_d_4_3_12_nmf_kr = ([-35.786193307167196, -24.42504448696434, 21.70892655890202, 52.2916606848695, 23.999982887878332, -6.629328811684445, -1.79849199037983], [2, 10, 15, 26, 114, 356, 393]) dbT_d_4_4_12_nmf_kr = ([-39.8356020841087, -54.721457894326136, -5.5687614057070505, 6.140377243794205, 4.347820113058106, -7.586564981448191, 0.0], [8, 21, 73, 126, 146, 370, 400]) dbT_d_3_5_12_nmf_kr = ([-3.121233544438496, -56.59084393450382, -6.973301653826297, 13.312072705575588, 18.49147506091913, -1.1046594647004895, -2.2748079426734193], [12, 18, 89, 141, 163, 334, 398]) dbT_d_2_6_12_nmf_kr = ([-40.98362952562354, -23.596866583497103, -19.218535266362323, 2.3272761120665564, 0.6499345184896583, 1.546998524130231, -1.0484000687818025], [3, 10, 56, 140, 263, 377, 391]) dbT_d_5_1_12_nmf_sv = ([0.006943320787286211, 0.03167240105676683, 0.022383080073268502, 0.017873772298571566, 0.03429814999071823, 0.02871499073035011, 0.02274390827096795], [6, 3, 15, 12, 70, 69, 144]) dbT_d_5_2_12_nmf_sv = ([0.07106343702616869, 0.03005139628157849, 0.017819923874867527, 0.003900305761362688, 0.014085627100030251, 0.0065573620818213385, 0.001174072132926085], [7, 2, 21, 20, 78, 351, 390]) dbT_d_4_3_12_nmf_sv = ([0.0364477730586259, 0.06759323219239377, 0.06044618418900427, 0.009563011225964146, 0.03904328952648939, 0.009847663946402463, 0.0011720915022124245], [2, 10, 14, 57, 120, 270, 389]) dbT_d_4_4_12_nmf_sv = ([0.05465642951003247, 0.011835735660497448, 0.02544210072619535, 0.027087975469385128, 0.04496380428690827, 0.009735328172155278, -0.0004920727342323516], [9, 21, 83, 128, 145, 370, 397]) dbT_d_3_5_12_nmf_sv = ([0.0072871930410656205, 0.05500966387126027, 0.06445792018485008, 0.02583032785287287, -0.003099462142927223, -0.002458822191783838, -0.00017828602312874864], [12, 19, 74, 137, 163, 344, 399]) dbT_d_2_6_12_nmf_sv = ([0.07167858679395067, 0.08224450809984774, -0.025705872135404206, -0.00252974236582304, 0.015896302085366187, -0.005521488094018423, -0.003480733625110588], [3, 10, 56, 140, 202, 375, 391]) dbT_e_5_1_12_nmf_lr = ([766.7174638302495, 767.2365314327782, 713.2114858935006, 701.0886026753387, 757.0329345934629, 768.4828673375351, 811.9659785304983, 773.2974067733794], [400, 6, 3, 16, 14, 84, 103, 189]) dbT_e_5_2_12_nmf_lr = ([766.7174638302495, 801.0520233158109, 779.5035733519469, 746.2294209449399, 776.973523784441, 797.1472379020377, 770.8588053455476, 769.1089083876923], [400, 7, 2, 22, 33, 86, 317, 389]) dbT_e_4_3_12_nmf_lr = ([766.7174638302495, 739.9883528066408, 744.7446482364754, 796.5385593681472, 831.469882444674, 797.9307839583506, 764.9914881499038, 767.3118421021259], [400, 2, 10, 15, 24, 123, 358, 383]) dbT_e_4_4_12_nmf_lr = ([766.7174638302495, 736.507929752768, 714.5033824297115, 763.5019344276948, 779.0235394528113, 782.6509587608458, 765.3611257033908, 766.6572177081646], [400, 9, 21, 72, 125, 145, 325, 399]) dbT_e_3_5_12_nmf_lr = ([766.7174638302495, 767.2645766602138, 718.1810459757802, 762.5031052792805, 788.4393772357255, 789.524810282257, 771.793468809016, 767.0045110675323], [400, 12, 18, 90, 141, 163, 344, 398]) dbT_e_2_6_12_nmf_lr = ([766.7174638302495, 730.7618142292823, 743.4664062687286, 755.9468420878385, 777.3391733682566, 772.9413782109585, 770.8261212764147, 767.2131339834748], [400, 3, 10, 56, 141, 263, 375, 391]) dbT_e_5_1_12_nmf_sg = ([1.5427173458932384e+20, 5.047027225990894e+20, 6.429047382730961e+19, 1.7754452158899828e+20, 6.375571042002208e+19, 1.514008572255298e+20, 4.870793243417453e+19, 3.092223192659986e+19], [400, 7, 3, 14, 12, 80, 89, 101]) dbT_e_5_2_12_nmf_sg = ([3.759931763722654e+19, 8.308393248526834e+20, 6.635848962953365e+19, 1.1097037077487311e+20, 3.5881805074240758e+19, 4.333070731372911e+20, 7.846289575015653e+18, 4.0893874794760454e+19], [400, 7, 2, 23, 20, 83, 300, 356]) dbT_e_4_3_12_nmf_sg = ([5.489494039454562e+19, 3.6989374520787665e+20, 4.067006379896292e+19, 2.2610840259187073e+19, 3.4508738180359483e+19, 4.885910030612533e+19, 1.5929790415171133e+19, 1.6847148409109928e+20], [400, 2, 10, 15, 27, 128, 357, 323]) dbT_e_4_4_12_nmf_sg = ([2.336986383555779e+19, 3.826163674554987e+19, 7.810381355846264e+19, 5.746322692701529e+19, 4.2422532010683605e+19, 4.0426524975789466e+19, 8.447579716006931e+20, 3.574289397775228e+19], [400, 8, 21, 71, 124, 145, 369, 399]) dbT_e_3_5_12_nmf_sg = ([4.205674172251084e+19, 3.0702290937779175e+19, 1.2495190969154149e+20, 7.064872242036744e+19, 2.6645274210435387e+19, 3.426951252102202e+19, 2.1431701051259576e+19, 2.4244585953309934e+20], [400, 12, 19, 74, 139, 170, 340, 399]) dbT_e_2_6_12_nmf_sg = ([1.4042868400031474e+19, 5.218636332190214e+19, 2.9108689604213e+20, 2.7661096714570187e+19, 5.1434113228198035e+19, 7.276953937141135e+19, 1.3923513626688203e+19, 3.4634788723253567e+19], [400, 3, 10, 55, 140, 262, 376, 391]) dbT_e_5_1_12_nmf_kr = ([770.5552302692274, 757.7082336907835, 710.7859909236304, 713.9668233192036, 750.2430929996538, 771.2715383257816, 782.8008550508357, 771.0577133730579], [400, 7, 3, 12, 15, 82, 105, 344]) dbT_e_5_2_12_nmf_kr = ([770.5552302692274, 788.1948405917054, 761.0184976441884, 751.154615334272, 776.8522345831743, 798.0428176848233, 772.1395907184763, 770.5880612213233], [400, 7, 2, 23, 33, 82, 370, 393]) dbT_e_4_3_12_nmf_kr = ([770.5552302692274, 736.763902934331, 741.9752782874008, 780.8126544594248, 823.0408957145467, 785.8151295509194, 762.8152454290112, 767.8146959653452], [400, 2, 11, 14, 26, 120, 361, 368]) dbT_e_4_4_12_nmf_kr = ([770.5552302692274, 731.4728071311853, 715.6546393739452, 768.9395496773202, 781.410992647353, 776.3389235077675, 763.1601480804401, 770.5552302692274], [400, 8, 21, 73, 125, 145, 371, 400]) dbT_e_3_5_12_nmf_kr = ([770.5552302692274, 765.5548130870988, 714.6961982298617, 784.8583861141383, 789.0135855742344, 788.5651000091705, 770.0843115436676, 769.2796515527397], [400, 12, 18, 74, 138, 163, 342, 398]) dbT_e_2_6_12_nmf_kr = ([770.5552302692274, 730.3217207174213, 748.3842045000019, 753.2474396380691, 776.4643286257494, 769.7177443504563, 774.355348922161, 766.6699776304015], [400, 3, 10, 55, 141, 266, 374, 387]) dbT_e_5_1_12_nmf_sv = ([2309.8144585818313, 2309.8214097355067, 2309.8460800721027, 2309.83506020509, 2309.8819100582455, 2309.8530287382587, 2309.851025864415, 2309.8248764562036], [400, 6, 2, 14, 8, 77, 47, 199]) dbT_e_5_2_12_nmf_sv = ([2309.8144585818313, 2309.8849503721503, 2309.8427405008088, 2309.8330333191243, 2309.8386284823086, 2309.826683286917, 2309.818981090482, 2309.8153075778846], [400, 7, 2, 23, 19, 80, 278, 375]) dbT_e_4_3_12_nmf_sv = ([2309.8144585818313, 2309.849624058286, 2309.882172418435, 2309.875504472197, 2309.8774702980645, 2309.8502453688957, 2309.8175773710814, 2309.814883033337], [400, 2, 10, 14, 22, 117, 354, 384]) dbT_e_4_4_12_nmf_sv = ([2309.8144585818313, 2309.869397087635, 2309.8133605971097, 2309.857005582398, 2309.851144302271, 2309.8619047167767, 2309.822718259455, 2309.8144585818313], [400, 8, 21, 73, 100, 146, 371, 400]) dbT_e_3_5_12_nmf_sv = ([2309.8144585818313, 2309.821865085466, 2309.8665861304075, 2309.878006083634, 2309.8409198690492, 2309.8111535107805, 2309.8158819595005, 2309.814280295808], [400, 12, 19, 74, 140, 162, 337, 399]) dbT_e_2_6_12_nmf_sv = ([2309.8144585818313, 2309.8869292696236, 2309.8965047498086, 2309.7932773587527, 2309.8047488418156, 2309.8292477182044, 2309.809226598643, 2309.810977848206], [400, 3, 10, 54, 150, 200, 376, 391]) ## SVD dbT_d_5_1_12_svd_lr = ([7.498096206755008, -39.200867072965025, -33.26716909689458, 6.740942534681835, 1.5563391317220976, 0.050883208119785195, 0.050883208119785195], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_lr = ([-4.800495794941298, -11.146054436584109, -4.281508426298728, 4.981207125984042, 4.739222704788517, 0.0, 0.0], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_lr = ([-56.525311072467275, 62.20982512230398, -13.1260900539678, 16.99732228529956, 2.944735479467795, 0.2663978403099918, 0.0], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_lr = ([-38.85034680340675, -1.7391115806728976, -28.56809488269539, -65.83432562855091, 23.711208756529345, -0.7075320414719499, 0.0], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_lr = ([45.18768244732041, 36.39927552508095, 21.76137099551613, 8.353878162172691, 17.884760414374455, -0.007987136756241853, 0.0], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_lr = ([-47.07335909478911, 80.0658395182752, -7.6944637386436625, 3.6824425832161296, 34.23229468316822, 49.475386265323664, -0.7266550855923697], [29, 32, 12, 20, 53, 43, 395]) dbT_d_5_1_12_svd_sg = ([-2.2153220452904862e+20, -2.7872493920701972e+20, -9.807129301929001e+19, -1.8059123916886596e+20, -2.234969724496846e+20, -1.8683563526415237e+20, -2.448470180000943e+20], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_sg = ([3.7887708527425225e+19, -6.062000241297521e+19, -4.054804032752322e+19, 2.8671467354707457e+20, -7.310119911544047e+19, -4.593647857188468e+19, 5.267435324976042e+20], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_sg = ([-2.652560336213555e+18, 7.477106846019101e+18, 7.963935429863358e+18, 4.701404231188398e+19, 1.967487147542802e+19, 1.8377048142627107e+19, 1.0623098056589292e+19], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_sg = ([-9.342593572175667e+17, 7.780534253271355e+18, -8.351022910892476e+18, 7.540946872607769e+18, -5.786848953893718e+18, 6.787528001033544e+17, 6.575937949451125e+18], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_sg = ([-1.4428500753906316e+20, -1.9897740583578527e+20, -1.9855923506789522e+20, -2.0223697802098377e+20, 6.110953390667209e+19, -2.4150165689155446e+20, -2.3258472681764297e+20], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_sg = ([-5.571392739013632e+18, 5.262284814199518e+20, 1.5234052641973821e+19, -3.1034465728723317e+19, -4.795308736767966e+19, -1.3415817644518285e+19, 3.6366858513283015e+19], [29, 32, 12, 20, 53, 43, 395]) dbT_d_5_1_12_svd_kr = ([4.3879844977223, -47.546106071452414, -36.254755047995104, -1.5405321648746622, -0.978421855582269, 0.6374355761104198, 0.6374355761104198], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_kr = ([-17.8074574061435, -17.31550766728492, -14.540812096189597, -0.0060877748975372015, 0.39228709436281406, 0.0, 0.0], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_kr = ([-57.10978274356614, 42.5349079046797, -21.91477395805134, 11.69997560740319, 1.0300451065253355, -0.04689739254354208, 0.0], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_kr = ([-40.50330273892837, -15.99050071870306, -39.28097510016437, -69.67385491926177, 20.738466608490512, -2.4943179458134637, 0.0], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_kr = ([36.16686415684126, 25.985332315009032, 16.343469850854262, 3.2802351320927983, 12.855269806929186, -1.803700720323377, 0.0], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_kr = ([-49.46514687994909, 58.6094217424793, -17.266594293714775, -1.264394200865695, 35.35881633165627, 34.647225812810234, -0.6660496463770187], [29, 32, 12, 20, 53, 43, 395]) dbT_d_5_1_12_svd_sv = ([0.021053083099559444, 0.04041193927059794, 0.02931636987023012, 0.028692165331904107, -0.0003148704440718575, -0.0001375452311549452, -0.0001375452311549452], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_sv = ([0.010820443119428091, 0.01999167699159443, 0.023491385293709754, 0.018642076158357668, 0.012872936198618845, 0.0, 0.0], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_sv = ([-0.03512887108627183, 0.036846322620021965, 0.02038480417104438, 0.02607363228480608, 0.014967216895001911, 5.200066516408697e-05, 0.0], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_sv = ([-0.006511081274766184, 0.009477981604959496, 0.047137767574895406, -0.012942527657742176, 0.0020327466586422815, 0.0027069229340668244, 0.0], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_sv = ([-0.03624497707141927, -0.0007707158133598568, -0.0018027332171186572, -0.020460366996303492, -0.0035274012248009967, -1.2660943411901826e-05, 0.0], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_sv = ([0.009511771277175285, 0.029526503443776164, 0.032474295484462345, -0.007498545710404869, 0.04017584926577911, 0.06450239598461849, -0.0017899596768984338], [29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_lr = ([766.7174638302495, 774.2155600370045, 727.5165967572844, 733.4502947333549, 773.4584063649313, 768.2738029619716, 766.7683470383693, 766.7683470383693], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_lr = ([766.7174638302495, 761.9169680353082, 755.5714093936654, 762.4359554039507, 771.6986709562335, 771.456686535038, 766.7174638302495, 766.7174638302495], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_lr = ([766.7174638302495, 710.1921527577822, 828.9272889525535, 753.5913737762817, 783.714786115549, 769.6621993097173, 766.9838616705595, 766.7174638302495], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_lr = ([766.7174638302495, 727.8671170268427, 764.9783522495766, 738.1493689475541, 700.8831382016986, 790.4286725867788, 766.0099317887775, 766.7174638302495], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_lr = ([766.7174638302495, 811.9051462775699, 803.1167393553304, 788.4788348257656, 775.0713419924222, 784.6022242446239, 766.7094766934932, 766.7174638302495], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_lr = ([766.7174638302495, 719.6441047354604, 846.7833033485247, 759.0230000916058, 770.3999064134656, 800.9497585134177, 816.1928500955731, 765.9908087446571], [400, 29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_sg = ([1.2619029450774225e+19, 1.2809387173299285e+20, 3.125358669272731e+19, 8.019633724226263e+19, 1.2870656554904381e+19, 7.711895271567062e+19, 6.054320065357134e+19, 2.1106909866387067e+19], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_sg = ([1.8564329672092153e+20, 2.321214990085987e+19, 3.8514227513290056e+19, 1.4042171519786748e+19, 1.7818924343265161e+19, 9.793559914841457e+19, 1.962712943607e+19, 5.073385532634059e+19], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_sg = ([6.196463190982184e+19, 4.0953444796357526e+19, 1.278302386492903e+19, 1.6581992827937923e+19, 3.373189198396233e+20, 5.4626686500285055e+20, 2.8456497925105242e+19, 2.758773982398334e+19], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_sg = ([3.938160983109908e+19, 4.467960447092811e+20, 3.162304126956496e+19, 1.581219311003758e+20, 1.1543705663539616e+19, 2.246326995366041e+19, 2.0849190622572187e+20, 1.2034063391465642e+19], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_sg = ([2.7082929271006724e+19, 1.7030697105192275e+20, 2.916775918881897e+19, 1.1689549746622004e+20, 1.900817520219976e+19, 1.0247145034447644e+20, 6.3124116173655564e+19, 1.5631370361392257e+19], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_sg = ([4.572961991054766e+19, 7.116074536432693e+18, 2.3371829062178263e+19, 9.741538912898757e+18, 7.036608065634208e+19, 1.3911187975177812e+20, 2.7416885416412795e+19, 7.924630973462818e+19], [400, 29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_kr = ([770.5552302692274, 774.9432147669497, 723.009124197775, 734.3004752212323, 769.0146981043528, 769.5768084136452, 771.1926658453378, 771.1926658453378], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_kr = ([770.5552302692274, 752.7477728630839, 753.2397226019425, 756.0144181730378, 770.5491424943299, 770.9475173635902, 770.5552302692274, 770.5552302692274], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_kr = ([770.5552302692274, 713.4454475256613, 813.0901381739071, 748.6404563111761, 782.2552058766306, 771.5852753757528, 770.5083328766839, 770.5552302692274], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_kr = ([770.5552302692274, 730.051927530299, 754.5647295505244, 731.274255169063, 700.8813753499657, 791.2936968777179, 768.060912323414, 770.5552302692274], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_kr = ([770.5552302692274, 806.7220944260687, 796.5405625842365, 786.8987001200817, 773.8354654013202, 783.4105000761566, 768.751529548904, 770.5552302692274], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_kr = ([770.5552302692274, 721.0900833892783, 829.1646520117067, 753.2886359755126, 769.2908360683617, 805.9140466008837, 805.2024560820377, 769.8891806228504], [400, 29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_sv = ([2309.8144585818313, 2309.835511664931, 2309.854870521102, 2309.8437749517016, 2309.8431507471632, 2309.8141437113873, 2309.8143210366, 2309.8143210366], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_sv = ([2309.8144585818313, 2309.8252790249508, 2309.834450258823, 2309.837949967125, 2309.8331006579897, 2309.82733151803, 2309.8144585818313, 2309.8144585818313], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_sv = ([2309.8144585818313, 2309.779329710745, 2309.8513049044514, 2309.8348433860024, 2309.840532214116, 2309.8294257987263, 2309.8145105824965, 2309.8144585818313], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_sv = ([2309.8144585818313, 2309.8079475005566, 2309.8239365634363, 2309.861596349406, 2309.8015160541736, 2309.81649132849, 2309.8171655047654, 2309.8144585818313], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_sv = ([2309.8144585818313, 2309.77821360476, 2309.813687866018, 2309.812655848614, 2309.793998214835, 2309.8109311806065, 2309.814445920888, 2309.8144585818313], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_sv = ([2309.8144585818313, 2309.8239703531085, 2309.843985085275, 2309.846932877316, 2309.806960036121, 2309.854634431097, 2309.878960977816, 2309.8126686221544], [400, 29, 32, 12, 20, 53, 43, 395]) ## PCA dbT_d_5_1_12_pca_lr = ([-47.601101831277674, 23.89835654639853, -29.434458361756015], [4, 10, 25]) dbT_d_5_2_12_pca_lr = ([12.863865623780612, 29.070382985250603, -11.371700111945984], [30, 10, 50]) dbT_d_4_3_12_pca_lr = ([13.299139254794, -56.482588718965985, -7.363892609902109], [33, 2, 20]) dbT_d_4_4_12_pca_lr = ([13.158211926132822, -21.882554251465194, 10.726739365166964], [35, 3, 11]) dbT_d_3_5_12_pca_lr = ([-13.94924092946303, 16.264443641958792, 28.944671014310188], [34, 9, 49]) dbT_d_2_6_12_pca_lr = ([-15.784646036812887, 54.59858967479897, 74.2405957168827], [31, 11, 32]) dbT_d_5_1_12_pca_sg = ([-2.7668913153753862e+19, 3.658630618709351e+19, -2.1309088621511418e+19], [4, 10, 25]) dbT_d_5_2_12_pca_sg = ([4.049962451613893e+19, 4.494519912711338e+20, 4.59532033471864e+19], [30, 10, 50]) dbT_d_4_3_12_pca_sg = ([3.151146720334813e+19, -1.1927610079490134e+19, 2.83193956916377e+19], [33, 2, 20]) dbT_d_4_4_12_pca_sg = ([2.5173954358325477e+19, 2.9036257711096008e+20, -1.3101996035292123e+19], [35, 3, 11]) dbT_d_3_5_12_pca_sg = ([-5.988841214702006e+18, 1.664926196457356e+20, 3.619944602827919e+20], [34, 9, 49]) dbT_d_2_6_12_pca_sg = ([-8.76815428261536e+19, -8.278306431995265e+19, -6.083819769495916e+19], [31, 11, 32]) dbT_d_5_1_12_pca_kr = ([-53.86873674396702, 13.967924590106804, -38.979109561196196], [4, 10, 25]) dbT_d_5_2_12_pca_kr = ([8.308084914089363, 8.672323509681405, -18.130880482458565], [30, 10, 50]) dbT_d_4_3_12_pca_kr = ([4.893627383184366, -60.083480118645866, -21.761366707571256], [33, 2, 20]) dbT_d_4_4_12_pca_kr = ([-1.2369143990113116, -19.843546724799353, -0.606373415467715], [35, 3, 11]) dbT_d_3_5_12_pca_kr = ([-25.377684172556314, 10.884212777018092, 23.662441740268832], [34, 9, 49]) dbT_d_2_6_12_pca_kr = ([-24.20264670332824, 38.394977505357474, 55.091699998789295], [31, 11, 32]) dbT_d_5_1_12_pca_sv = ([0.011137593651255884, 0.026690443381994555, 0.04553763542799061], [4, 10, 25]) dbT_d_5_2_12_pca_sv = ([0.00717397457901825, 0.02609970361845626, 0.020652313064601913], [30, 10, 50]) dbT_d_4_3_12_pca_sv = ([0.010627487412421033, -0.030707366897786414, 0.06094017480290859], [33, 2, 20]) dbT_d_4_4_12_pca_sv = ([0.010337221504869376, -0.01810343114175339, 0.05374800924346346], [35, 3, 11]) dbT_d_3_5_12_pca_sv = ([0.013994417658523162, -0.027283024875487172, 0.00040766774600342615], [34, 9, 49]) dbT_d_2_6_12_pca_sv = ([0.012349386701771436, 0.034842369659145334, 0.033235850362416386], [31, 11, 32]) dbT_e_5_1_12_pca_lr = ([766.7174638302495, 719.1163619989718, 790.615820376648, 737.2830054684935], [400, 4, 10, 25]) dbT_e_5_2_12_pca_lr = ([766.7174638302495, 779.5813294540301, 795.7878468155001, 755.3457637183035], [400, 30, 10, 50]) dbT_e_4_3_12_pca_lr = ([766.7174638302495, 780.0166030850435, 710.2348751112835, 759.3535712203474], [400, 33, 2, 20]) dbT_e_4_4_12_pca_lr = ([766.7174638302495, 779.8756757563823, 744.8349095787843, 777.4442031954164], [400, 35, 3, 11]) dbT_e_3_5_12_pca_lr = ([766.7174638302495, 752.7682229007864, 782.9819074722083, 795.6621348445597], [400, 34, 9, 49]) dbT_e_2_6_12_pca_lr = ([766.7174638302495, 750.9328177934366, 821.3160535050484, 840.9580595471322], [400, 31, 11, 32]) dbT_e_5_1_12_pca_sg = ([6.7948574238370054e+19, 1.864563332148159e+19, 1.0062405484598993e+20, 5.272638318161066e+19], [400, 4, 10, 25]) dbT_e_5_2_12_pca_sg = ([2.6393741180019683e+19, 4.689155015339935e+19, 6.516424991202465e+19, 1.1659681113718184e+20], [400, 30, 10, 50]) dbT_e_4_3_12_pca_sg = ([3.689874599505423e+19, 3.7864532208841425e+19, 2.4315022610416837e+19, 1.7386723628160034e+20], [400, 33, 2, 20]) dbT_e_4_4_12_pca_sg = ([1.1839653881667196e+20, 1.1675298188628494e+20, 1.2837620512483811e+19, 2.3024923972914897e+19], [400, 35, 3, 11]) dbT_e_3_5_12_pca_sg = ([2.101285242798031e+19, 2.8262869670650954e+19, 1.748905921833002e+19, 6.640538026361701e+19], [400, 34, 9, 49]) dbT_e_2_6_12_pca_sg = ([2.164201762849609e+20, 2.247253283988201e+19, 1.766985159633474e+19, 4.871398352393379e+19], [400, 31, 11, 32]) dbT_e_5_1_12_pca_kr = ([770.5552302692274, 716.6864935252604, 784.5231548593342, 731.5761207080312], [400, 4, 10, 25]) dbT_e_5_2_12_pca_kr = ([770.5552302692274, 778.8633151833168, 779.2275537789088, 752.4243497867689], [400, 30, 10, 50]) dbT_e_4_3_12_pca_kr = ([770.5552302692274, 775.4488576524118, 710.4717501505816, 748.7938635616562], [400, 33, 2, 20]) dbT_e_4_4_12_pca_kr = ([770.5552302692274, 769.3183158702161, 750.7116835444281, 769.9488568537597], [400, 35, 3, 11]) dbT_e_3_5_12_pca_kr = ([770.5552302692274, 745.1775460966711, 781.4394430462455, 794.2176720094963], [400, 34, 9, 49]) dbT_e_2_6_12_pca_kr = ([770.5552302692274, 746.3525835658992, 808.9502077745849, 825.6469302680167], [400, 31, 11, 32]) dbT_e_5_1_12_pca_sv = ([2309.8144585818313, 2309.8255961754826, 2309.8411490252133, 2309.8599962172593], [400, 4, 10, 25]) dbT_e_5_2_12_pca_sv = ([2309.8144585818313, 2309.8216325564103, 2309.84055828545, 2309.835110894896], [400, 30, 10, 50]) dbT_e_4_3_12_pca_sv = ([2309.8144585818313, 2309.8250860692438, 2309.7837512149335, 2309.8753987566342], [400, 33, 2, 20]) dbT_e_4_4_12_pca_sv = ([2309.8144585818313, 2309.824795803336, 2309.7963551506896, 2309.868206591075], [400, 35, 3, 11]) dbT_e_3_5_12_pca_sv = ([2309.8144585818313, 2309.82845299949, 2309.787175556956, 2309.8148662495773], [400, 34, 9, 49]) dbT_e_2_6_12_pca_sv = ([2309.8144585818313, 2309.826807968533, 2309.8493009514905, 2309.8476944321937], [400, 31, 11, 32]) ## PCA dbO_d_5_1_8_pca_lr = ([0.9843552019623402, 0.29440732049218143, 0.32423337695845655], [1, 5, 10]) dbO_d_5_2_8_pca_lr = ([0.6016404395609053, 0.6241331257418671, 0.36834059923141116], [1, 1, 10]) dbO_d_4_3_8_pca_lr = ([0.42693440990577025, 0.3111256173013214, 0.3835258071755073], [2, 3, 3]) dbO_d_4_4_8_pca_lr = ([0.5571816489391864, 0.3585551941837978, 0.32387463629311786], [1, 1, 10]) dbO_d_3_5_8_pca_lr = ([0.5657990772236791, 0.3652592511540803, 0.3586093135937455], [1, 1, 7]) dbO_d_2_6_8_pca_lr = ([0.40293026617217376, 0.42370057853347987, 0.3124421401627443], [1, 2, 8]) dbO_d_5_1_8_pca_sg = ([-26021542723278.61, -72449322154531.47, -59523173780135.016], [1, 5, 10]) dbO_d_5_2_8_pca_sg = ([-48952110820190.164, -35717261707410.91, -36091557861564.97], [1, 1, 10]) dbO_d_4_3_8_pca_sg = ([79669752116583.9, 43438461812969.76, 44976551646669.81], [2, 3, 3]) dbO_d_4_4_8_pca_sg = ([-2339199850050.1836, 76755209063884.03, -9724225053057.049], [1, 1, 10]) dbO_d_3_5_8_pca_sg = ([4095339236256.0117, 2828446335038.922, 17595010554774.145], [1, 1, 7]) dbO_d_2_6_8_pca_sg = ([24866167477117.65, -37971236514014.25, -7302631047594.734], [1, 2, 8]) dbO_d_5_1_8_pca_kr = ([0.7957244545265255, 0.27563268603273783, 0.3341887755832672], [1, 5, 10]) dbO_d_5_2_8_pca_kr = ([0.6291414759351467, 0.6041829177033108, 0.3516998564561177], [1, 1, 10]) dbO_d_4_3_8_pca_kr = ([0.4175266257738476, 0.3125345781681258, 0.3737248522447222], [2, 3, 3]) dbO_d_4_4_8_pca_kr = ([0.5523085134621338, 0.35824819061030666, 0.3300571035291554], [1, 1, 10]) dbO_d_3_5_8_pca_kr = ([0.5659091070547125, 0.35510705489217587, 0.3512332894066662], [1, 1, 7]) dbO_d_2_6_8_pca_kr = ([0.40236555515770445, 0.414175979677731, 0.31157187361731775], [1, 2, 8]) dbO_d_5_1_8_pca_sv = ([0.14525873542855328, 0.09195463759661537, 0.11311892339669649], [1, 5, 10]) dbO_d_5_2_8_pca_sv = ([0.1727181075703983, 0.1397072312150225, 0.12070942233497717], [1, 1, 10]) dbO_d_4_3_8_pca_sv = ([0.13587268067433445, 0.12021517858729025, 0.14838462899828797], [2, 3, 3]) dbO_d_4_4_8_pca_sv = ([0.16436546607644265, 0.14386564733063145, 0.11453708235687343], [1, 1, 10]) dbO_d_3_5_8_pca_sv = ([0.1780795201493386, 0.13218565976558105, 0.12284543939430259], [1, 1, 7]) dbO_d_2_6_8_pca_sv = ([0.16091769483251683, 0.14363774559376608, 0.08405686060369977], [1, 2, 8]) dbO_e_5_1_8_pca_lr = ([0.7087024769930955, 1.6930576789554357, 1.003109797485277, 1.032935853951552], [824, 1, 5, 10]) dbO_e_5_2_8_pca_lr = ([0.7087024769930955, 1.3103429165540008, 1.3328356027349626, 1.0770430762245067], [824, 1, 1, 10]) dbO_e_4_3_8_pca_lr = ([0.7087024769930955, 1.1356368868988658, 1.019828094294417, 1.0922282841686028], [824, 2, 3, 3]) dbO_e_4_4_8_pca_lr = ([0.7087024769930955, 1.265884125932282, 1.0672576711768933, 1.0325771132862134], [824, 1, 1, 10]) dbO_e_3_5_8_pca_lr = ([0.7087024769930955, 1.2745015542167746, 1.0739617281471758, 1.067311790586841], [824, 1, 1, 7]) dbO_e_2_6_8_pca_lr = ([0.7087024769930955, 1.1116327431652693, 1.1324030555265754, 1.0209849502298578], [824, 1, 2, 8]) dbO_e_5_1_8_pca_sg = ([21059993499527.875, 3976613823829.657, 73199819781299.33, 56692108521563.76], [824, 1, 5, 10]) dbO_e_5_2_8_pca_sg = ([82224963535141.48, 48832251703336.99, 80088346207204.64, 80168063950785.38], [824, 1, 1, 10]) dbO_e_4_3_8_pca_sg = ([15331109039255.21, 109552123960189.25, 68397050641173.32, 20199102269077.652], [824, 2, 3, 3]) dbO_e_4_4_8_pca_sg = ([68392062235338.24, 43618239732315.734, 35234578190188.66, 87089656812826.33], [824, 1, 1, 10]) dbO_e_3_5_8_pca_sg = ([37743425303784.51, 68341393980270.914, 77576209500164.38, 14456672225087.441], [824, 1, 1, 7]) dbO_e_2_6_8_pca_sg = ([18350209368433.426, 70860487758969.28, 65644147799811.16, 22565809783666.76], [824, 1, 2, 8]) dbO_e_5_1_8_pca_kr = ([0.709122435618465, 1.5048468901449905, 0.9847551216512028, 1.0433112112017322], [824, 1, 5, 10]) dbO_e_5_2_8_pca_kr = ([0.709122435618465, 1.3382639115536117, 1.3133053533217758, 1.0608222920745827], [824, 1, 1, 10]) dbO_e_4_3_8_pca_kr = ([0.709122435618465, 1.1266490613923126, 1.0216570137865908, 1.0828472878631872], [824, 2, 3, 3]) dbO_e_4_4_8_pca_kr = ([0.709122435618465, 1.2614309490805988, 1.0673706262287717, 1.0391795391476204], [824, 1, 1, 10]) dbO_e_3_5_8_pca_kr = ([0.709122435618465, 1.2750315426731775, 1.0642294905106409, 1.0617169950240049], [824, 1, 1, 7]) dbO_e_2_6_8_pca_kr = ([0.709122435618465, 1.1114879907761694, 1.123298415296196, 1.0206943092357827], [824, 1, 2, 8]) dbO_e_5_1_8_pca_sv = ([0.9743404337836312, 1.1195991692121845, 1.0662950713802466, 1.0874593571803277], [824, 1, 5, 10]) dbO_e_5_2_8_pca_sv = ([0.9743404337836312, 1.1470585413540295, 1.1140476649986537, 1.0950498561186084], [824, 1, 1, 10]) dbO_e_4_3_8_pca_sv = ([0.9743404337836312, 1.1102131144579657, 1.0945556123709215, 1.1227250627819192], [824, 2, 3, 3]) dbO_e_4_4_8_pca_sv = ([0.9743404337836312, 1.1387058998600739, 1.1182060811142627, 1.0888775161405047], [824, 1, 1, 10]) dbO_e_3_5_8_pca_sv = ([0.9743404337836312, 1.1524199539329698, 1.1065260935492123, 1.0971858731779338], [824, 1, 1, 7]) dbO_e_2_6_8_pca_sv = ([0.9743404337836312, 1.135258128616148, 1.1179781793773973, 1.058397294387331], [824, 1, 2, 8]) ######################### TARRAGONA dbT_d_5_1_12_mdav_lr = ([-0.1809055248348841, -31.8583478721971, -43.47486349561757, -24.662470519140015, -29.165579080272323, -17.846079054836196, -42.308465258105, 16.262559908240178, -37.250394491269844, -22.6578296165643, -24.95310242882647, -35.077894731888705, 2.2123849167187473, -42.409948087208136, -26.123345440004982], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_lr = ([-37.84135806437973, -26.88610443869777, -53.98861418694332, -27.02289032199735, -23.09011026660221, -34.77076308384346, -18.61496342434748, -8.995165762444799, -9.240993752430768, -21.49570799910623, -5.141859896029473, -31.52831411015063, 65.68465006720544, -34.37533724373566, -17.468222601660045], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_lr = ([-51.498938094792265, -16.702346263587742, 11.935325895094138, 1.9016069928397883, -80.4416572732764, -36.4361136396891, -0.8208324293830174, -17.451069314220263, -30.134732070263226, -30.349525271445714, -5.022449298440733, 9.864021689814649, -35.39613434278101, 9.98528623236848, -20.314564819018074], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_lr = ([-34.28748847935765, -3.3241121454027507, 7.515559897391313, -18.51060020509135, -41.580123014130095, -40.32913589950829, -15.986465822400874, -22.720873978326154, -16.18096215773153, -36.4506919377892, 80.51194251289746, 44.201533267005175, -33.74259393982561, -12.6708414048735, -16.80146617407695], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_lr = ([-26.30495716767473, 7.411783340933084, 2.882976721149589, -6.508568373683261, -43.589308108751425, -39.202225750537195, -30.128292034196875, -42.016173452279986, -36.824269469902106, -16.284635818501442, -8.029916992033577, -8.189042582571346, -20.993565205304094, -9.18038320865503, -21.797630498280682], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_lr = ([-38.26922308008784, 0.04563890467898091, 0.18913224723041822, 4.3301896496083145, -10.561548113471417, -47.84007811183358, -25.54470468379475, -37.10583633148201, -38.33297468621549, -12.568603162312002, -32.28518499414952, 10.16704352401348, -41.70807518805475, -18.496576704672748, 4.03391372092301], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_d_5_1_12_mdav_sg = ([-5.208298140516467e+19, -6.769385472051464e+19, -2.6034576018996666e+19, -5.548642609650801e+19, -1.0344534343329055e+19, -2.054274519246739e+19, -3.290681664661296e+19, -8.010947571822677e+19, 9.183836142343553e+18, -7.555271036707126e+19, -6.58350658607818e+19, -7.50269198481845e+19, -7.903538897528947e+18, -6.504233412053459e+19, 4.533997154744518e+19], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_sg = ([3.7560062137594446e+20, 1.0805896904495912e+20, 1.0593447326255636e+20, -6.304053614612973e+19, -6.55726944425521e+19, 5.470736040778759e+20, -8.376808457431933e+19, 4.480080840692872e+19, -5.103569573724785e+19, -3.590815146207109e+19, -7.119455592906379e+19, -6.5323633738304864e+19, -6.928403434256771e+19, 2.559296760727973e+19, -8.544883407300067e+19], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_sg = ([-2.8518409381695767e+19, 9.862157541976365e+19, -3.4647645029029073e+19, -2.415679960726681e+19, 6.530679066223995e+19, 2.6793886752529357e+20, 2.371017362267004e+20, -2.5611202571222254e+19, -3.10045630882662e+18, -3.815288371227055e+19, -4.701253015381841e+19, -3.558108478171323e+19, 1.455361267322415e+20, 1.4198284463328092e+19, -3.657326432875684e+19], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_sg = ([-3.2556012824519895e+20, -9.487885059248197e+19, -3.20889390390022e+20, -3.247250750347026e+20, 5.429383121171821e+19, -1.3062053054518673e+20, 1.742917708586609e+20, -3.3351021081647035e+20, -3.3278885544653586e+20, -3.177375192028032e+20, -3.263685716437518e+20, -2.882973705429279e+20, -3.198243836352641e+20, -3.029483691952348e+20, -2.9859480452648554e+20], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_sg = ([-5.328216629410288e+18, 3.9541442407934075e+18, 1.2106382568525603e+19, 4.0357251457238475e+19, -2.2816332199297024e+18, -1.1332511580556104e+19, 4.531691425909625e+19, -1.0824599825288122e+19, -1.2871918229689215e+19, -1.8311351183630746e+19, 1.7854487335798612e+19, -2.122483927877088e+19, -7.263135421432283e+18, 4.446672773031859e+19, -2.0740719104381653e+19], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_sg = ([5.336268111959753e+18, 3.426706126556499e+20, 3.4754879327018697e+19, -4.740761029787324e+19, 3.587727842383406e+20, -5.0187365546946855e+19, 4.482238657237291e+20, -5.233409820094107e+19, -5.428278156083043e+19, -5.925611602843406e+19, 2.30760420532254e+20, -6.773822800589199e+19, -4.4299003114448355e+19, -5.9537407980131434e+19, -6.894719951273251e+19], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_d_5_1_12_mdav_kr = ([-6.406463520991906, -42.53149907161571, -46.76398422836519, -20.518616356410007, -31.10908718854023, -23.57538575673459, -43.335839266334006, 13.299593195192188, -40.463641572785605, -31.0326847005025, -28.489260842202043, -43.00165733485551, -6.87466690625422, -58.71953508151921, -52.27621003300658], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_kr = ([-43.6086166335424, -32.28840733137474, -60.32413135402521, -31.226738713985924, -29.883248515992136, -41.13476116404729, -27.089876206998042, -14.555439135599727, -19.723619143684687, -26.196435938944546, -21.995036429427273, -36.87890312329955, 29.609623874401677, -38.404434467482474, -12.869502087147225], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_kr = ([-58.81826536500171, -21.251963894603023, 3.7285093137276135, -15.213131954480104, -81.71216555265744, -42.60494719459814, -1.3728500880392858, -21.936275539551843, -36.79209811973135, -32.52910483554058, -7.480584299792895, -3.152304818147968, -39.08232914382495, -1.422666192933093, -20.92722370139643], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_kr = ([-43.24022802071556, -4.464043562355187, -1.7190036469278311, -25.445295920148283, -41.14463759748298, -48.38324211818622, -18.86059813906604, -35.10328070618209, -23.908770079905594, -34.654748497945775, 74.17466422577729, 20.00060470000892, -36.211287978521, -15.252200707176485, -24.20313492892751], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_kr = ([-32.10519015773377, -1.2422689569365275, -9.669411555500119, -13.628653623898458, -46.738752919552894, -45.74962006820954, -35.984059545132595, -46.37737353233979, -44.53034028523416, -23.406712814841285, -14.869245614490069, -18.272005273074456, -43.421294725803364, -42.35042478143771, -25.183278997197817], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_kr = ([-45.03651774163416, -2.924505544981912, -12.503555788050676, -3.8922812466739742, -19.344712837461316, -53.40755112486056, -36.60856767905875, -42.18176062177429, -40.46456091223206, -19.073146972020254, -42.66908366225664, -5.588361840911148, -47.40566350540121, -25.77265785674149, -16.72165054644279], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_d_5_1_12_mdav_sv = ([0.02525816654542723, 0.043188404083139176, 0.02687384160435613, 0.045721939605755324, 0.048860521979804616, 0.044009690099301224, 0.05241571760689112, 0.009920176139985415, 0.010622698719544132, -5.160775253898464e-05, 0.048408628776087426, 0.0038699645401720772, 0.03131388258407242, 0.011933576071442076, -0.015992664889381558], [12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_d_5_2_12_mdav_sv = ([0.024118986511894036, 0.0014177487701090286, 0.04610906975949547, 0.047227602926341206, 0.03166609937989051, 0.05653194194792377, 0.04977145878456213, -0.0420817473286661, -0.014085841858559434, 0.07233445569909236, -0.03728908554876398, -0.014194823096204345, -0.020992493763060338, -0.04119291790220814, -0.017283521812714753], [21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_d_4_3_12_mdav_sv = ([0.06902704727281161, 0.05447355800288278, 0.06197659297458813, 0.08284968861062225, 0.06769465692104859, 0.08508020535100513, 0.0186927042464049, -0.005694288855920604, -0.013959478644665069, -0.001743480573168199, -0.012370953601021029, -0.059642970853019506, -0.022357104775892367, -0.09438813977612881, -0.032731571056956454], [25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_d_4_4_12_mdav_sv = ([0.02777456250760224, 0.0168500512436367, 0.06978601710852672, 0.07084200164263166, 0.024742614015394793, 0.03657620152034724, 0.03420214546395073, -0.06037791776861923, 0.0021082046941955923, 0.014659482409570046, -0.009166340198135003, -0.04708429294532834, -0.057442170921603974, 0.016430152530119813, -0.03943555517753339], [36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_d_3_5_12_mdav_sv = ([0.05026437327114763, 0.04195624607427817, 0.09924524298548931, 0.04525253205883928, 0.04955450603256395, 0.04222432209553517, 0.025173054877086543, -0.018923355680726672, -0.015448380116595217, -0.029395833640592173, 0.015220121587390167, -0.017227198723503534, 0.05301626276514071, -0.05000075943826232, -0.02321100833660239], [56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_d_2_6_12_mdav_sv = ([0.03345600002739957, -0.01803973245796442, 0.06476546997009791, -0.002793667773858033, 0.04633856833788741, 0.04526909434025583, 0.05828452658261085, -0.08594628616720001, -0.0615399346288541, -0.06690726382430512, 0.03200684368675866, -0.07048961915961627, 0.00245943019126571, -0.10697021075293378, -0.013083846782592445], [42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_lr = ([766.7174638302495, 766.5365583054146, 734.8591159580524, 723.2426003346319, 742.0549933111095, 737.5518847499771, 748.8713847754133, 724.4089985721445, 782.9800237384896, 729.4670693389796, 744.0596342136852, 741.764361401423, 731.6395690983608, 768.9298487469682, 724.3075157430413, 740.5941183902445], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_lr = ([766.7174638302495, 728.8761057658697, 739.8313593915517, 712.7288496433061, 739.6945735082521, 743.6273535636473, 731.946700746406, 748.102500405902, 757.7222980678047, 757.4764700778187, 745.2217558311432, 761.57560393422, 735.1891497200988, 832.4021138974549, 732.3421265865138, 749.2492412285894], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_lr = ([766.7174638302495, 715.2185257354572, 750.0151175666617, 778.6527897253436, 768.6190708230893, 686.2758065569731, 730.2813501905604, 765.8966314008665, 749.2663945160292, 736.5827317599862, 736.3679385588038, 761.6950145318087, 776.5814855200641, 731.3213294874685, 776.702750062618, 746.4028990112314], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_lr = ([766.7174638302495, 732.4299753508918, 763.3933516848467, 774.2330237276408, 748.2068636251581, 725.1373408161194, 726.3883279307412, 750.7309980078486, 743.9965898519233, 750.5365016725179, 730.2667718924603, 847.2294063431469, 810.9189970972546, 732.9748698904239, 754.046622425376, 749.9159976561725], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_lr = ([766.7174638302495, 740.4125066625747, 774.1292471711826, 769.6004405513991, 760.2088954565662, 723.128155721498, 727.5152380797123, 736.5891717960526, 724.7012903779695, 729.8931943603474, 750.432828011748, 758.6875468382159, 758.5284212476781, 745.7238986249454, 757.5370806215944, 744.9198333319688], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_lr = ([766.7174638302495, 728.4482407501616, 766.7631027349285, 766.9065960774799, 771.0476534798578, 756.155915716778, 718.8773857184159, 741.1727591464547, 729.6116274987675, 728.384489144034, 754.1488606679375, 734.4322788361, 776.884507354263, 725.0093886421947, 748.2208871255767, 770.7513775511725], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_sg = ([1.3503657629553633e+20, 3.914482789992753e+20, 1.5517653755976962e+19, 2.0783133885241744e+20, 1.5572631544973463e+20, 3.728454651478338e+19, 7.907057991968606e+19, 9.847286228347562e+19, 5.509100898475532e+19, 6.562669716217255e+19, 3.479584627986087e+20, 2.853960240754309e+19, 7.0776152930678874e+19, 2.4651951827060143e+20, 2.213971700183011e+19, 7.2744341812565795e+19], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_sg = ([5.670139047715659e+19, 2.462673769900898e+19, 3.3124583790494564e+19, 8.432136563882072e+19, 2.95871299930101e+20, 4.7451111040860815e+19, 3.165984947180682e+19, 9.118728432594151e+19, 1.3992818002473755e+19, 8.968506426496913e+19, 1.9334213577193726e+19, 2.8314647014956577e+19, 3.914948136685583e+19, 4.330744389072921e+19, 4.391459035925751e+19, 1.3308089920323396e+19], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_sg = ([6.0533338693238915e+19, 1.92589341254133e+20, 6.092486123909107e+19, 4.0998612303234425e+19, 7.0374769842325545e+19, 3.2761363011331174e+19, 1.1113727185991995e+20, 2.1520439133456803e+20, 6.252920146525973e+19, 1.9901486711533445e+19, 1.9410004999000334e+19, 2.3074286651762643e+19, 4.542024460361429e+19, 3.978964086919988e+19, 2.035714528442781e+19, 9.406537682937135e+18], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_sg = ([5.4652779266695635e+19, 5.024619746908704e+19, 6.203708379231561e+19, 5.296948878637884e+19, 1.9143570832713765e+19, 3.853161191893025e+19, 2.7817944205233512e+19, 6.326749711036969e+19, 2.0578659949425627e+19, 3.7278652923221475e+19, 5.197625286847027e+19, 8.498817004373875e+19, 1.5571169849846209e+19, 2.479804419467425e+19, 1.523088183614217e+19, 5.323045357004919e+18], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_sg = ([3.5153703875799413e+19, 5.505799730617109e+19, 7.60442738826247e+19, 5.352794115368089e+20, 5.152022987578937e+19, 1.2511910025856552e+20, 4.556729017000147e+19, 2.6949757675477783e+19, 2.69895705966271e+19, 7.48443197349802e+19, 2.0254913688116687e+19, 1.5891517252673436e+19, 5.00110785352386e+19, 1.3412797049299285e+20, 2.459104750284383e+19, 1.3524664400577223e+19], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_sg = ([8.477352640472357e+19, 3.717880119641832e+19, 1.323167225920546e+19, 2.72282319341461e+19, 2.0517175058699308e+20, 6.603999949430263e+19, 1.5661241703814906e+20, 1.3399903734463275e+19, 3.553575338208065e+19, 1.0289945210274972e+19, 4.472615341706262e+19, 6.357878254636145e+19, 1.4557536359650184e+20, 6.015265544567898e+19, 6.496706193313659e+18, 3.2350094469768565e+19], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_kr = ([770.5552302692274, 764.1487667482355, 728.0237311976117, 723.7912460408622, 750.0366139128174, 739.4461430806872, 746.9798445124928, 727.2193910028934, 783.8548234644196, 730.0915886964418, 739.5225455687249, 742.0659694270254, 727.5535729343719, 763.6805633629732, 711.8356951877082, 718.2790202362208], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_kr = ([770.5552302692274, 726.946613635685, 738.2668229378527, 710.2310989152022, 739.3284915552415, 740.6719817532353, 729.4204691051801, 743.4653540622294, 755.9997911336277, 750.8316111255427, 744.3587943302829, 748.5601938398001, 733.6763271459279, 800.1648541436291, 732.150795801745, 757.6857281820802], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_kr = ([770.5552302692274, 711.7369649042257, 749.3032663746244, 774.283739582955, 755.3420983147473, 688.84306471657, 727.9502830746293, 769.1823801811881, 748.6189547296756, 733.7631321494961, 738.0261254336868, 763.0746459694345, 767.4029254510795, 731.4729011254025, 769.1325640762943, 749.628006567831], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_kr = ([770.5552302692274, 727.3150022485119, 766.0911867068722, 768.8362266222996, 745.1099343490791, 729.4105926717444, 722.1719881510412, 751.6946321301614, 735.4519495630453, 746.6464601893218, 735.9004817712816, 844.7298944950047, 790.5558349692363, 734.3439422907064, 755.3030295620509, 746.3520953402999], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_kr = ([770.5552302692274, 738.4500401114936, 769.3129613122909, 760.8858187137273, 756.926576645329, 723.8164773496745, 724.8056102010179, 734.5711707240948, 724.1778567368876, 726.0248899839933, 747.1485174543861, 755.6859846547374, 752.283224996153, 727.1339355434241, 728.2048054877897, 745.3719512720296], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_kr = ([770.5552302692274, 725.5187125275933, 767.6307247242455, 758.0516744811767, 766.6629490225534, 751.2105174317661, 717.1476791443669, 733.9466625901687, 728.3734696474531, 730.0906693569954, 751.4820832972072, 727.8861466069708, 764.9668684283163, 723.1495667638262, 744.7825724124859, 753.8335797227846], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) dbT_e_5_1_12_mdav_sv = ([2309.8144585818313, 2309.8397167483768, 2309.8576469859145, 2309.8413324234357, 2309.860180521437, 2309.863319103811, 2309.8584682719306, 2309.866874299438, 2309.8243787579713, 2309.825081280551, 2309.814406974079, 2309.8628672106074, 2309.8183285463715, 2309.8457724644154, 2309.826392157903, 2309.798465916942], [400, 12, 4, 4, 9, 5, 7, 3, 4, 6, 4, 4, 4, 4, 2, 3]) dbT_e_5_2_12_mdav_sv = ([2309.8144585818313, 2309.838577568343, 2309.8158763306014, 2309.860567651591, 2309.8616861847577, 2309.846124681211, 2309.8709905237793, 2309.864230040616, 2309.7723768345027, 2309.8003727399728, 2309.8867930375304, 2309.7771694962826, 2309.800263758735, 2309.7934660880683, 2309.773265663929, 2309.7971750600186], [400, 21, 21, 15, 8, 11, 13, 10, 13, 9, 6, 8, 7, 5, 5, 8]) dbT_e_4_3_12_mdav_sv = ([2309.8144585818313, 2309.883485629104, 2309.868932139834, 2309.876435174806, 2309.897308270442, 2309.8821532387524, 2309.8995387871823, 2309.8331512860777, 2309.8087642929754, 2309.8004991031867, 2309.812715101258, 2309.8020876282303, 2309.7548156109783, 2309.7921014770554, 2309.720070442055, 2309.7817270107744], [400, 25, 17, 11, 9, 7, 9, 7, 8, 5, 6, 7, 4, 8, 6, 7]) dbT_e_4_4_12_mdav_sv = ([2309.8144585818313, 2309.842233144339, 2309.831308633075, 2309.88424459894, 2309.885300583474, 2309.8392011958467, 2309.8510347833517, 2309.8486607272953, 2309.7540806640627, 2309.8165667865255, 2309.829118064241, 2309.805292241633, 2309.767374288886, 2309.7570164109097, 2309.8308887343615, 2309.775023026654], [400, 36, 21, 22, 13, 13, 10, 7, 10, 7, 7, 7, 6, 8, 8, 6]) dbT_e_3_5_12_mdav_sv = ([2309.8144585818313, 2309.8647229551025, 2309.8564148279056, 2309.913703824817, 2309.85971111389, 2309.864013087864, 2309.856682903927, 2309.8396316367084, 2309.7955352261506, 2309.7990102017147, 2309.7850627481907, 2309.8296787034187, 2309.797231383108, 2309.8674748445965, 2309.764457822393, 2309.7912475734947], [400, 56, 29, 16, 26, 17, 9, 10, 9, 11, 15, 6, 8, 5, 5, 3]) dbT_e_2_6_12_mdav_sv = ([2309.8144585818313, 2309.8479145818587, 2309.7964188493734, 2309.8792240518014, 2309.8116649140575, 2309.860797150169, 2309.8597276761716, 2309.872743108414, 2309.728512295664, 2309.7529186472025, 2309.747551318007, 2309.846465425518, 2309.7439689626717, 2309.8169180120226, 2309.7074883710784, 2309.8013747350487], [400, 42, 21, 13, 12, 13, 6, 11, 10, 10, 10, 4, 3, 4, 6, 3]) ### MONDRIAN EXPERIMENTS dbT_d_5_1_12_mond_lr = ([-28.62803378715921, 19.819590187984545, -51.5191714651628, -51.5191714651628, -51.5191714651628, -30.021136570353747, -30.021136570353747, -30.021136570353747, -30.021136570353747, -30.021136570353747, -6.803548923811036, -6.803548923811036, -6.803548923811036, -6.803548923811036, -6.803548923811036], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_lr = ([-15.694328503787347, -13.52090068932148, -23.932360358219853, -23.932360358219853, -23.932360358219853, -23.326701993731945, -23.326701993731945, -23.326701993731945, -23.326701993731945, -23.326701993731945, 48.966879976313294, 48.966879976313294, 48.966879976313294, 48.966879976313294, 48.966879976313294], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_lr = ([-14.497805961118047, -3.5498603628838055, -27.277441015573004, -27.277441015573004, -27.277441015573004, 7.271141122048789, 7.271141122048789, 7.271141122048789, 7.271141122048789, 7.271141122048789, 25.97834741585166, 25.97834741585166, 25.97834741585166, 25.97834741585166, 25.97834741585166], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_lr = ([-3.371486091185375, -14.233306347505163, -7.071332717213522, -7.071332717213522, -7.071332717213522, -25.470220075014367, -25.470220075014367, -25.470220075014367, -25.470220075014367, -25.470220075014367, 51.96121891046198, 51.96121891046198, 51.96121891046198, 51.96121891046198, 51.96121891046198], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_lr = ([9.952934709211604, 0.8032549185862763, -35.305740724910606, -35.305740724910606, -35.305740724910606, -44.656757214700974, -44.656757214700974, -44.656757214700974, -44.656757214700974, -44.656757214700974, 1.7370340133388709, 1.7370340133388709, 1.7370340133388709, 1.7370340133388709, 1.7370340133388709], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_lr = ([3.958298623354949, 1.569573706744336, -30.05285003743711, -30.05285003743711, -30.05285003743711, -18.599137320126147, -18.599137320126147, -18.599137320126147, -18.599137320126147, -18.599137320126147, 42.718149578725615, 42.718149578725615, 42.718149578725615, 42.718149578725615, 42.718149578725615], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_d_5_1_12_mond_sg = ([-1.150822918858197e+19, -6.239748902779585e+18, 1.0812123431893e+20, -1.4672845995625103e+19, 1.592000312257522e+19, -6.015831912760058e+18, -1.6241807993415133e+19, -1.660661574529386e+19, 6.135172615266178e+20, -6.702400963621241e+18, 1.6887035452906643e+19, 1.3666763820233677e+20, -1.2805460143735972e+19, 1.1620493651578654e+20, 6.322751313221515e+20], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_sg = ([5.4794742650440555e+20, -1.1702570230888381e+20, -1.0228634538153329e+20, -9.331568575131078e+19, -1.2821642926233436e+20, -1.2109371214920525e+20, -2.5624904850600493e+19, -1.1883182058736822e+20, 1.7565662439704687e+20, -1.2975122818800694e+20, -1.0281995878502757e+20, -1.2481034572747473e+20, -5.522956469966453e+19, -5.998341946788282e+18, -1.2857974046949615e+20], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_sg = ([-2.4605282851065446e+18, 2.074608201293494e+19, 1.5277044201129034e+19, 4.872080208449323e+19, 2.8920096961002583e+20, 3.1109139459144555e+20, 1.625080948300264e+20, 1.082242909219147e+19, -1.1795025383082394e+17, 2.8597237720643625e+19, -1.2865360705099248e+19, -7.198473607844635e+18, 9.823311951457878e+19, -7.626618562408149e+18, -3.6498040370589245e+18], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_sg = ([1.1214522094732195e+20, 2.070198644065206e+19, 4.757095533560614e+20, 5.2821347099632475e+20, 2.0566802058147836e+19, 1.4694279147400688e+20, 1.0836269923282205e+20, 1.5611196623755955e+20, 2.7208843108191656e+20, 3.693197815096594e+19, 5.3639738869058765e+19, 1.6073457904567898e+19, -1.1476422696498784e+19, -1.3895752247096377e+19, -1.6772398905939214e+19], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_sg = ([1.0208800396111803e+20, 4.7588442318862066e+19, 3.09942606019427e+20, -5.505113705757663e+19, -5.242454684455176e+19, -6.876318034903516e+19, -6.692036240155091e+18, -3.5403553078390112e+19, -3.678895863121026e+19, 2.5301946551570276e+19, -6.556696066332234e+19, -6.894344714942888e+19, -4.809100516121312e+19, -5.82877034619737e+19, -6.168271156337826e+19], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_sg = ([-1.996945476899761e+20, -1.9214035200743837e+20, 8.91946202576663e+19, -1.961416448387307e+20, -1.2585798803979069e+20, -9.106750712109012e+19, -2.22130745368641e+20, -2.2661125107548137e+20, -2.149650809497399e+20, -2.0601484166273014e+20, -2.1908775387678235e+20, -2.1335143226006864e+20, -2.2511735186222318e+20, -2.2798376103970688e+20, -2.0251086118346644e+20], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_d_5_1_12_mond_kr = ([-37.37725516490275, 16.631167895192334, -60.197302937263885, -60.197302937263885, -60.197302937263885, -31.919942049734686, -31.919942049734686, -31.919942049734686, -31.919942049734686, -31.919942049734686, -6.1080415499220635, -6.1080415499220635, -6.1080415499220635, -6.1080415499220635, -6.1080415499220635], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_kr = ([-24.41594593746595, -20.82207663621375, -31.62256307148857, -31.62256307148857, -31.62256307148857, -25.284555020630478, -25.284555020630478, -25.284555020630478, -25.284555020630478, -25.284555020630478, 39.589553406303025, 39.589553406303025, 39.589553406303025, 39.589553406303025, 39.589553406303025], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_kr = ([-17.70035036381546, -7.251356725388746, -35.81463015888323, -35.81463015888323, -35.81463015888323, 7.43114794018004, 7.43114794018004, 7.43114794018004, 7.43114794018004, 7.43114794018004, 24.374280305291336, 24.374280305291336, 24.374280305291336, 24.374280305291336, 24.374280305291336], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_kr = ([-17.332244943626847, -24.739264089294693, -13.658696110478445, -13.658696110478445, -13.658696110478445, -27.097003664898352, -27.097003664898352, -27.097003664898352, -27.097003664898352, -27.097003664898352, 49.50289804716613, 49.50289804716613, 49.50289804716613, 49.50289804716613, 49.50289804716613], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_kr = ([6.738422513201954, -10.051743301784995, -42.281654169485705, -42.281654169485705, -42.281654169485705, -53.69303358283321, -53.69303358283321, -53.69303358283321, -53.69303358283321, -53.69303358283321, 14.61639446795698, 14.61639446795698, 14.61639446795698, 14.61639446795698, 14.61639446795698], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_kr = ([-4.330734744183019, -7.787265717752348, -39.279054597672484, -39.279054597672484, -39.279054597672484, -27.84950024172042, -27.84950024172042, -27.84950024172042, -27.84950024172042, -27.84950024172042, -16.76327790170467, -16.76327790170467, -16.76327790170467, -16.76327790170467, -16.76327790170467], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_d_5_1_12_mond_sv = ([0.020219223362346384, 0.01549368566065823, 0.013978881791899767, 0.013978881791899767, 0.013978881791899767, -0.048787947818254906, -0.048787947818254906, -0.048787947818254906, -0.048787947818254906, -0.048787947818254906, -0.0030965367213866557, -0.0030965367213866557, -0.0030965367213866557, -0.0030965367213866557, -0.0030965367213866557], [6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_d_5_2_12_mond_sv = ([0.027210059162825928, 0.01557973810531621, 0.12424517586578077, 0.12424517586578077, 0.12424517586578077, 0.01878162796356264, 0.01878162796356264, 0.01878162796356264, 0.01878162796356264, 0.01878162796356264, -0.0734188748865563, -0.0734188748865563, -0.0734188748865563, -0.0734188748865563, -0.0734188748865563], [26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_d_4_3_12_mond_sv = ([0.020290889223360864, -0.004478159310110641, 0.005716756834772241, 0.005716756834772241, 0.005716756834772241, -0.09731663971933813, -0.09731663971933813, -0.09731663971933813, -0.09731663971933813, -0.09731663971933813, -0.04453007595702729, -0.04453007595702729, -0.04453007595702729, -0.04453007595702729, -0.04453007595702729], [16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_d_4_4_12_mond_sv = ([0.016074762072548765, -0.008415852841608285, -0.015867897692714905, -0.015867897692714905, -0.015867897692714905, -0.04946196260607394, -0.04946196260607394, -0.04946196260607394, -0.04946196260607394, -0.04946196260607394, -0.015647507970697916, -0.015647507970697916, -0.015647507970697916, -0.015647507970697916, -0.015647507970697916], [17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_d_3_5_12_mond_sv = ([0.018037329110029532, 0.0011560676075532683, 0.0009426169744983781, 0.0009426169744983781, 0.0009426169744983781, -0.08038265235609288, -0.08038265235609288, -0.08038265235609288, -0.08038265235609288, -0.08038265235609288, -0.08233893340275245, -0.08233893340275245, -0.08233893340275245, -0.08233893340275245, -0.08233893340275245], [50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_d_2_6_12_mond_sv = ([0.03299857401771078, 0.01929336386046998, 0.054650079729526624, 0.054650079729526624, 0.054650079729526624, 0.05392095612751291, 0.05392095612751291, 0.05392095612751291, 0.05392095612751291, 0.05392095612751291, -0.03051778324834231, -0.03051778324834231, -0.03051778324834231, -0.03051778324834231, -0.03051778324834231], [43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_lr = ([766.7174638302495, 738.0894300430903, 786.537054018234, 715.1982923650867, 715.1982923650867, 715.1982923650867, 736.6963272598957, 736.6963272598957, 736.6963272598957, 736.6963272598957, 736.6963272598957, 759.9139149064384, 759.9139149064384, 759.9139149064384, 759.9139149064384, 759.9139149064384], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_lr = ([766.7174638302495, 751.0231353264621, 753.196563140928, 742.7851034720296, 742.7851034720296, 742.7851034720296, 743.3907618365175, 743.3907618365175, 743.3907618365175, 743.3907618365175, 743.3907618365175, 815.6843438065628, 815.6843438065628, 815.6843438065628, 815.6843438065628, 815.6843438065628], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_lr = ([766.7174638302495, 752.2196578691314, 763.1676034673657, 739.4400228146765, 739.4400228146765, 739.4400228146765, 773.9886049522983, 773.9886049522983, 773.9886049522983, 773.9886049522983, 773.9886049522983, 792.6958112461011, 792.6958112461011, 792.6958112461011, 792.6958112461011, 792.6958112461011], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_lr = ([766.7174638302495, 763.3459777390641, 752.4841574827443, 759.646131113036, 759.646131113036, 759.646131113036, 741.2472437552351, 741.2472437552351, 741.2472437552351, 741.2472437552351, 741.2472437552351, 818.6786827407115, 818.6786827407115, 818.6786827407115, 818.6786827407115, 818.6786827407115], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_lr = ([766.7174638302495, 776.6703985394611, 767.5207187488357, 731.4117231053389, 731.4117231053389, 731.4117231053389, 722.0607066155485, 722.0607066155485, 722.0607066155485, 722.0607066155485, 722.0607066155485, 768.4544978435883, 768.4544978435883, 768.4544978435883, 768.4544978435883, 768.4544978435883], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_lr = ([766.7174638302495, 770.6757624536044, 768.2870375369938, 736.6646137928124, 736.6646137928124, 736.6646137928124, 748.1183265101233, 748.1183265101233, 748.1183265101233, 748.1183265101233, 748.1183265101233, 809.4356134089751, 809.4356134089751, 809.4356134089751, 809.4356134089751, 809.4356134089751], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_sg = ([9.465126727424003e+19, 1.1938195777675164e+20, 4.1394591021644415e+19, 2.778980259391352e+19, 3.046602408308655e+20, 1.1538963739654216e+20, 6.169648516213958e+19, 5.477032092689207e+19, 2.933465956836315e+19, 5.531504788470902e+19, 9.013275279679297e+20, 1.8282433004323572e+19, 4.60210142186728e+19, 3.85492171188492e+19, 1.197862654962393e+19, 3.6567960611465593e+19], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_sg = ([5.5611533258829496e+20, 4.910050798484485e+19, 2.846533845216169e+19, 3.0072447579771096e+20, 2.198384045554738e+19, 1.5015049491764098e+20, 1.6226323931250917e+20, 2.330787440960641e+19, 2.0145448238225285e+19, 3.977980999109341e+19, 2.7697412914953e+19, 1.2768497812390857e+19, 5.447169614850429e+19, 2.1682172336486576e+19, 2.1537602852866736e+19, 3.1023286512876483e+19], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_sg = ([1.4133353741838469e+20, 3.810352376299124e+19, 2.921935759403807e+20, 8.360175039358337e+19, 3.5083644676094796e+19, 1.4064557994066405e+19, 4.847860348681141e+19, 4.5347499368736784e+19, 2.419236367086249e+19, 2.7905097349521297e+19, 1.2940178788901244e+20, 1.2192230577783038e+19, 7.083249697659516e+19, 1.1077802132212632e+19, 8.397283225039528e+19, 1.786140562219006e+19], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_sg = ([1.0118863004613154e+20, 3.1120848613911155e+19, 2.9297825707126043e+19, 2.6109387555249148e+19, 3.0422081979733496e+19, 2.697511312632369e+19, 3.5012085950546854e+19, 3.2538435774235193e+19, 5.783567306781935e+19, 2.2278991855033135e+19, 1.2317443111954137e+20, 6.901909892326818e+18, 9.811073490429147e+18, 1.7537947463131744e+19, 1.4412167838159974e+19, 2.8479336574051934e+19], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_sg = ([3.8092985449886015e+19, 1.0434122344733514e+20, 1.2420885470119299e+20, 2.9076729259738507e+20, 2.0327853662005936e+19, 3.5749432539860644e+19, 3.427311041783638e+19, 1.8286476250937606e+20, 8.337614795466962e+19, 3.4174892893179097e+19, 1.0726665595539692e+20, 3.535417716554169e+19, 5.216521295077271e+19, 9.724003068770136e+18, 3.2203510405922996e+19, 1.608340263636656e+19], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_sg = ([3.4178929158379856e+19, 1.500296973093525e+20, 4.005421734068191e+20, 4.4269458614192334e+20, 1.759218128587866e+20, 2.7300173929780945e+19, 9.428306093210994e+19, 3.305664367336597e+19, 1.4977812801739977e+19, 5.538948785143883e+18, 1.0705471604495368e+20, 1.1094648638365034e+19, 1.0408545498924059e+19, 4.620951089434048e+19, 8.774796090378152e+18, 2.6962819564975776e+19], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_kr = ([770.5552302692274, 733.1779751043247, 787.1863981644198, 710.3579273319635, 710.3579273319635, 710.3579273319635, 738.6352882194927, 738.6352882194927, 738.6352882194927, 738.6352882194927, 738.6352882194927, 764.4471887193054, 764.4471887193054, 764.4471887193054, 764.4471887193054, 764.4471887193054], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_kr = ([770.5552302692274, 746.1392843317615, 749.7331536330137, 738.9326671977389, 738.9326671977389, 738.9326671977389, 745.270675248597, 745.270675248597, 745.270675248597, 745.270675248597, 745.270675248597, 810.1447836755304, 810.1447836755304, 810.1447836755304, 810.1447836755304, 810.1447836755304], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_kr = ([770.5552302692274, 752.854879905412, 763.3038735438387, 734.7406001103442, 734.7406001103442, 734.7406001103442, 777.9863782094075, 777.9863782094075, 777.9863782094075, 777.9863782094075, 777.9863782094075, 794.9295105745188, 794.9295105745188, 794.9295105745188, 794.9295105745188, 794.9295105745188], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_kr = ([770.5552302692274, 753.2229853256006, 745.8159661799327, 756.896534158749, 756.896534158749, 756.896534158749, 743.4582266043291, 743.4582266043291, 743.4582266043291, 743.4582266043291, 743.4582266043291, 820.0581283163935, 820.0581283163935, 820.0581283163935, 820.0581283163935, 820.0581283163935], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_kr = ([770.5552302692274, 777.2936527824294, 760.5034869674424, 728.2735760997417, 728.2735760997417, 728.2735760997417, 716.8621966863942, 716.8621966863942, 716.8621966863942, 716.8621966863942, 716.8621966863942, 785.1716247371844, 785.1716247371844, 785.1716247371844, 785.1716247371844, 785.1716247371844], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_kr = ([770.5552302692274, 766.2244955250444, 762.7679645514751, 731.2761756715549, 731.2761756715549, 731.2761756715549, 742.705730027507, 742.705730027507, 742.705730027507, 742.705730027507, 742.705730027507, 753.7919523675228, 753.7919523675228, 753.7919523675228, 753.7919523675228, 753.7919523675228], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) dbT_e_5_1_12_mond_sv = ([2309.8144585818313, 2309.8346778051937, 2309.829952267492, 2309.8284374636232, 2309.8284374636232, 2309.8284374636232, 2309.765670634013, 2309.765670634013, 2309.765670634013, 2309.765670634013, 2309.765670634013, 2309.81136204511, 2309.81136204511, 2309.81136204511, 2309.81136204511, 2309.81136204511], [400, 6, 8, 4, 4, 4, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2]) dbT_e_5_2_12_mond_sv = ([2309.8144585818313, 2309.841668640994, 2309.8300383199366, 2309.938703757697, 2309.938703757697, 2309.938703757697, 2309.833240209795, 2309.833240209795, 2309.833240209795, 2309.833240209795, 2309.833240209795, 2309.741039706945, 2309.741039706945, 2309.741039706945, 2309.741039706945, 2309.741039706945], [400, 26, 21, 16, 16, 16, 9, 9, 9, 9, 9, 7, 7, 7, 7, 7]) dbT_e_4_3_12_mond_sv = ([2309.8144585818313, 2309.8347494710547, 2309.809980422521, 2309.820175338666, 2309.820175338666, 2309.820175338666, 2309.717141942112, 2309.717141942112, 2309.717141942112, 2309.717141942112, 2309.717141942112, 2309.7699285058743, 2309.7699285058743, 2309.7699285058743, 2309.7699285058743, 2309.7699285058743], [400, 16, 14, 11, 11, 11, 5, 5, 5, 5, 5, 4, 4, 4, 4, 4]) dbT_e_4_4_12_mond_sv = ([2309.8144585818313, 2309.830533343904, 2309.8060427289897, 2309.7985906841386, 2309.7985906841386, 2309.7985906841386, 2309.7649966192253, 2309.7649966192253, 2309.7649966192253, 2309.7649966192253, 2309.7649966192253, 2309.7988110738606, 2309.7988110738606, 2309.7988110738606, 2309.7988110738606, 2309.7988110738606], [400, 17, 18, 12, 12, 12, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5]) dbT_e_3_5_12_mond_sv = ([2309.8144585818313, 2309.8324959109414, 2309.815614649439, 2309.815401198806, 2309.815401198806, 2309.815401198806, 2309.7340759294752, 2309.7340759294752, 2309.7340759294752, 2309.7340759294752, 2309.7340759294752, 2309.7321196484286, 2309.7321196484286, 2309.7321196484286, 2309.7321196484286, 2309.7321196484286], [400, 50, 41, 27, 27, 27, 16, 16, 16, 16, 16, 13, 13, 13, 13, 13]) dbT_e_2_6_12_mond_sv = ([2309.8144585818313, 2309.847457155849, 2309.833751945692, 2309.869108661561, 2309.869108661561, 2309.869108661561, 2309.868379537959, 2309.868379537959, 2309.868379537959, 2309.868379537959, 2309.868379537959, 2309.783940798583, 2309.783940798583, 2309.783940798583, 2309.783940798583, 2309.783940798583], [400, 43, 37, 19, 19, 19, 15, 15, 15, 15, 15, 11, 11, 11, 11, 11]) ## NOISE ADDITION dbT_d_5_1_12_nAdd_lr = ([-35.882598107610875, -21.745993098028748, -1.6435257671879526, -23.0149791433239, -44.25507707984366, -38.28064643543519, -45.24735663685283, -39.27179546977368, -44.49704141585039, -38.68940179935555, -41.52238401582679, -42.977456885925335], [1, 0, 1, 1, 1, 0, 2, 2, 2, 1, 2, 0]) dbT_d_5_2_12_nAdd_lr = ([-34.182041877106144, -55.74666004218204, -48.389755026344346, -52.609281686387476, -37.826967577771484, -29.778180622639184, -37.155771360180665, -38.53035005713093, -39.2407075881448, -51.5805347853136, -36.41302655463687, -46.55421522262452], [2, 3, 0, 1, 1, 2, 0, 0, 1, 0, 0, 3]) dbT_d_4_3_12_nAdd_lr = ([-41.35667856440898, -30.37380981503179, -32.136847743663566, -40.40339392154374, -38.10147786962091, -50.30995095640367, -9.202379724135085, -19.751197955324642, -40.8195965926343, -49.402310274251136, -43.499722960827285, -31.750057095211673], [1, 1, 2, 0, 3, 1, 0, 2, 0, 0, 1, 0]) dbT_d_4_4_12_nAdd_lr = ([-29.26655957150649, -43.59315732634013, -29.746478860264915, -40.675266712392386, -30.70407149128755, -25.718684539099627, -49.89279915061729, -36.85180413945909, -45.53674758439274, -28.133524879576157, -68.31585431182384, -28.021729746130518], [2, 3, 3, 1, 1, 0, 1, 2, 4, 1, 2, 1]) dbT_d_3_5_12_nAdd_lr = ([-35.20391047069609, -29.139798781932086, -33.8212629159101, -46.44087513314457, -39.16058213285771, -24.108778505685223, 3.7494242838210994, -21.57296763593422, -51.00654413502434, -36.26656559882008, -38.11677705474574, -38.02666923120046], [1, 1, 1, 2, 1, 0, 3, 2, 0, 1, 1, 0]) dbT_d_2_6_12_nAdd_lr = ([-27.087308402739836, -7.3658078053920235, -29.751572352432845, -33.8676204065149, -51.76100678658497, -33.984937430486866, -33.287809048258055, -31.77710483125179, -28.71856407339658, -56.3587234617969, -46.29609928842069, -29.52491123100333], [0, 1, 0, 4, 2, 0, 1, 1, 1, 1, 1, 2]) dbT_d_5_1_12_nAdd_sg = ([1.601003868980898e+20, -6.170810208678528e+19, 2.2738308119425778e+19, -8.678706017184671e+19, 2.5093549200525066e+18, 1.0296779228598338e+19, -8.384854297691868e+19, -5.543073038003242e+19, -7.3777806439692845e+19, -7.273152251529116e+19, 1.3583352595491286e+20, -4.678983138990378e+19], [1, 3, 3, 2, 2, 0, 1, 1, 1, 2, 1, 2]) dbT_d_5_2_12_nAdd_sg = ([-5.1056362102232875e+20, -1.9651683166357422e+18, -5.280515756869659e+20, -5.1241781175508546e+20, -5.023820509388184e+20, -4.315898184214289e+20, -4.955211262396643e+20, -4.6995286964460454e+20, -1.0482020244847224e+20, -5.2760527162682986e+20, -5.18326254436544e+20, -2.7530916543595728e+20], [0, 2, 0, 1, 1, 0, 0, 1, 0, 1, 1, 0]) dbT_d_4_3_12_nAdd_sg = ([-1.0177939178911898e+20, -7.904336828784968e+19, 4.1734392494705895e+20, -9.848034194430001e+19, -1.3837008668284066e+20, -1.2766178731451538e+20, -1.209815080036036e+20, -5.180959122211483e+19, -8.96629283300932e+19, -1.1815026452577734e+20, -1.3035334586587215e+20, -1.2995940739169098e+20], [0, 0, 0, 1, 0, 2, 1, 2, 3, 0, 0, 3]) dbT_d_4_4_12_nAdd_sg = ([-4.960655007377947e+19, 1.8035148839228703e+18, -7.705954075900314e+18, -5.938005934935893e+19, -5.791482170178789e+19, -6.170284539960048e+19, -3.661003547353505e+19, -4.580645680308459e+19, 3.455724401108293e+20, 2.3394371599028185e+20, 5.820644023778516e+20, -5.844467784720443e+19], [1, 1, 1, 1, 0, 0, 1, 1, 0, 0, 2, 0]) dbT_d_3_5_12_nAdd_sg = ([-2.4614357460017817e+20, -2.744430186150256e+20, -1.5375202081578438e+20, -2.4987068909308445e+20, -2.6210481183616588e+20, -2.26217754917319e+20, -2.1546294392440658e+20, -2.0563764295420825e+20, -9.09072791321636e+19, -2.29056882651955e+20, -2.4470968013566863e+20, -2.4222264543507684e+20], [0, 0, 2, 1, 2, 2, 2, 1, 1, 0, 0, 1]) dbT_d_2_6_12_nAdd_sg = ([-2.9876260426878714e+19, 2.543763925171678e+20, 1.5176564030434646e+20, 2.0466903516372255e+19, -5.697571742651714e+19, -3.5855639307696316e+19, -5.889762432438229e+19, -5.659184071050015e+19, -9.936370707431645e+18, -5.666757140197937e+19, -2.7023062938662257e+19, -4.903667588443454e+19], [2, 1, 1, 0, 0, 1, 2, 1, 0, 0, 2, 3]) dbT_d_5_1_12_nAdd_kr = ([-50.7564148775009, -46.90080810588711, -40.0562625588766, -34.90586417140139, -55.121281678529385, -44.32155570767088, -48.962576795734435, -40.44453955496533, -22.725205053631726, -46.22892533124343, -31.026744924162244, -42.35177429426096], [2, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0]) dbT_d_5_2_12_nAdd_kr = ([-29.521416990815737, -37.00265922991787, -58.68436722343745, -45.186733152468264, -44.36219064087379, -51.3431756341389, -49.08669491591047, -29.649503174792017, -41.38188468550629, -45.17743786145968, -44.26190349811077, -41.49946444910779], [1, 1, 0, 1, 4, 0, 0, 1, 4, 0, 2, 0]) dbT_d_4_3_12_nAdd_kr = ([-35.278880331111736, -41.50239582010215, -49.40308313405103, -39.78410564574051, -40.86567251717281, -41.425923204157584, -45.270841724644924, -21.660686296319, -62.608058695340105, -46.350437432887475, -27.182082708551206, -37.405431628619795], [3, 2, 1, 3, 0, 1, 1, 1, 0, 1, 1, 0]) dbT_d_4_4_12_nAdd_kr = ([-19.20324088403561, -51.02519730975155, -47.013708099656355, -37.02881569767533, -35.06376200668467, -40.01760300868898, -37.669981811957086, -33.021639063375005, -36.17717602469884, -30.338739591054832, -46.3754882060241, -44.28492766552017], [1, 2, 2, 1, 1, 1, 2, 1, 1, 1, 0, 0]) dbT_d_3_5_12_nAdd_kr = ([-35.33110454621499, -25.014925767705563, -34.841106493616735, -46.677327973760725, -31.743169545502155, -47.184919378386894, -30.93399891867, -58.36500291734842, -46.71395631078917, -42.7100884779893, -41.379314065275025, -55.74059952786865], [2, 0, 0, 0, 0, 0, 0, 1, 0, 1, 2, 0]) dbT_d_2_6_12_nAdd_kr = ([-21.705690213362686, -39.558138510409094, -57.07779839516763, -40.05241407876815, -36.19360660675841, -34.748168609292065, -38.31633861632213, -41.792793642756806, -33.31951952690349, -18.35747202271898, -48.07255221730918, -52.39299103386156], [0, 4, 0, 0, 0, 2, 1, 1, 0, 2, 2, 0]) dbT_d_5_1_12_nAdd_sv = ([0.06148359610415355, 0.05011064188238379, 0.09690253872122412, 0.07740799053271985, 0.0772318154840832, 0.09626171400668682, 0.08758915420230551, 0.07247263294084405, 0.07728817275119582, 0.06806769471950247, 0.03722722161001002, 0.07080138188393903], [1, 0, 2, 3, 1, 2, 0, 0, 3, 0, 1, 0]) dbT_d_5_2_12_nAdd_sv = ([0.23328089790675222, 0.2439818635739357, 0.23888537074026317, 0.2136781261856413, 0.1695702352421904, 0.17374049203635877, 0.2354194604172335, 0.18776459292803338, 0.1920270379619069, 0.21254298303165342, 0.19012251091271537, 0.19468918271786606], [1, 0, 2, 0, 0, 1, 2, 1, 0, 0, 1, 1]) dbT_d_4_3_12_nAdd_sv = ([0.22893961354384373, 0.22201111823324027, 0.14872804276319584, 0.23753300899034002, 0.14081006369269744, 0.2184668529494047, 0.16129642921578125, 0.22823945519621702, 0.20983345133481635, 0.25437128723569913, 0.17685236339548283, 0.21673805256796186], [2, 0, 1, 0, 2, 0, 2, 1, 0, 2, 0, 0]) dbT_d_4_4_12_nAdd_sv = ([0.17982666916850576, 0.17628585976945033, 0.2725381388677306, 0.2005559036761042, 0.23091211591690808, 0.20406076369317816, 0.22809700450261516, 0.19706490205953742, 0.2660841144106598, 0.22784229245826282, 0.2063944420488042, 0.1960620882700823], [2, 1, 1, 0, 1, 1, 1, 0, 0, 1, 1, 1]) dbT_d_3_5_12_nAdd_sv = ([0.25537405802333524, 0.18316569827538842, 0.2302635968726463, 0.2157039802627878, 0.22633095337369014, 0.23218956949312997, 0.21795045822136672, 0.22128571563644073, 0.2328233437056042, 0.24742608560472945, 0.2540437480147375, 0.23037498173061977], [0, 0, 2, 1, 0, 2, 1, 2, 0, 0, 2, 1]) dbT_d_2_6_12_nAdd_sv = ([0.24050454194184567, 0.24215855863485558, 0.22208368022756986, 0.1995486665032331, 0.2348326556975735, 0.2362636471393671, 0.22634133994915828, 0.21347564723055257, 0.22845726687410206, 0.23421911967261622, 0.23057258629751232, 0.23493928582638546], [1, 2, 3, 3, 1, 1, 0, 2, 2, 1, 1, 1]) dbT_e_5_1_12_nAdd_lr = ([766.7174638302495, 725.9863052912332, 737.3294205469689, 714.5833926782882, 727.5536168304541, 725.5200743604105, 725.998306044446, 731.6961086775433, 758.3633387484967, 717.2972461084823, 719.5617866468706, 731.9426332258022, 714.1067347516486], [400, 0, 2, 1, 1, 0, 2, 3, 0, 2, 3, 0, 0]) dbT_e_5_2_12_nAdd_lr = ([766.7174638302495, 747.5963275857727, 748.0975182705105, 727.1088767180834, 717.5395730449357, 725.1948059638834, 729.7006523832467, 726.3499023805101, 723.326625394417, 723.0663715745557, 738.1678879960223, 745.8367900326905, 724.8746215617358], [400, 1, 0, 1, 0, 0, 0, 2, 0, 0, 0, 2, 3]) dbT_e_4_3_12_nAdd_lr = ([766.7174638302495, 728.9905217806165, 734.6563374073376, 742.8851284359267, 737.0823547923585, 729.6289756527204, 734.041712013898, 711.1117154029595, 757.5912604306294, 732.4637570298679, 732.6256955330974, 750.0862997338821, 755.894438728617], [400, 1, 0, 1, 0, 1, 1, 1, 2, 0, 1, 2, 0]) dbT_e_4_4_12_nAdd_lr = ([766.7174638302495, 757.295533178827, 734.1785915283562, 745.0111919842475, 730.8074995990348, 723.9164463955758, 714.6719674972992, 762.5816001112299, 732.8550013313068, 725.7088212902933, 746.771530018506, 719.7602154942364, 744.7221729942507], [400, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0]) dbT_e_3_5_12_nAdd_lr = ([766.7174638302495, 760.2114637274324, 749.4848165309411, 735.031879555961, 710.0905952834628, 726.0951301980342, 714.1684814014992, 736.9261909249166, 735.7436181904175, 729.616789924548, 731.59962647618, 734.0378840147315, 737.9941913808997], [400, 2, 1, 1, 0, 1, 1, 1, 0, 0, 0, 1, 0]) dbT_e_2_6_12_nAdd_lr = ([766.7174638302495, 732.3272813648911, 754.0937670728067, 752.7440435602051, 738.4255790948436, 734.8996902550856, 714.9534429347713, 738.5871100242417, 731.7000311479841, 732.5984729081447, 721.8978106393369, 730.1430037249443, 719.2683644197556], [400, 0, 1, 1, 2, 2, 2, 0, 0, 5, 2, 0, 0]) dbT_e_5_1_12_nAdd_sg = ([8.82342871545615e+20, 4.846643120455808e+19, 8.930642143903878e+19, 3.915729252768301e+19, 2.2177961474425707e+20, 3.0573005894861305e+20, 1.194315279209667e+20, 2.016130787194889e+19, 2.0166606863575495e+19, 4.686806470763657e+19, 1.0578718416435098e+20, 9.279954581986927e+19, 6.986470773873808e+19], [400, 1, 1, 1, 0, 1, 0, 1, 0, 1, 2, 1, 0]) dbT_e_5_2_12_nAdd_sg = ([4.2683020506869845e+20, 6.777430050962592e+20, 8.766625135597938e+19, 8.131692886112865e+19, 4.029502809549206e+19, 1.0432525583900914e+19, 1.3361173751828613e+19, 3.211617843194596e+19, 6.281247787356012e+19, 6.608531945846812e+19, 2.0356583428712514e+20, 7.265674552511159e+19, 3.010989229907392e+19], [400, 3, 0, 1, 0, 0, 0, 2, 1, 0, 3, 1, 1]) dbT_e_4_3_12_nAdd_sg = ([4.267547119553967e+19, 7.850698302500523e+19, 3.1588301617973625e+20, 9.38238910803492e+19, 8.468726577858082e+19, 3.4966007857953997e+19, 6.330111153672693e+20, 1.9507108810756755e+19, 2.679252262359712e+19, 1.5415160808646744e+20, 3.6319069707704484e+19, 2.365582509307539e+19, 1.6169722758904607e+19], [400, 0, 2, 1, 0, 2, 4, 2, 2, 0, 0, 0, 1]) dbT_e_4_4_12_nAdd_sg = ([8.22026930935818e+19, 4.4573173727083635e+19, 2.9984932801264136e+19, 4.119814580626039e+19, 6.8247691951752995e+19, 6.057608903731556e+19, 4.159427368710977e+19, 2.4172968973135766e+19, 1.7843667068235838e+20, 1.6898847673082556e+19, 4.594803770041609e+19, 3.1667688057524224e+20, 3.4964671832629993e+19], [400, 1, 1, 1, 2, 0, 2, 0, 1, 0, 0, 1, 0]) dbT_e_3_5_12_nAdd_sg = ([5.483880198668781e+20, 3.354756028664267e+19, 8.248265990868887e+19, 2.9955933799391547e+19, 1.5776053801507514e+20, 7.473729269675786e+19, 1.363105735251383e+19, 3.742879477136065e+19, 1.91692263568328e+20, 4.051380201606814e+19, 2.7359164051591125e+20, 4.42296004935932e+19, 4.709752737024889e+19], [400, 2, 3, 1, 1, 3, 0, 0, 1, 2, 2, 2, 0]) dbT_e_2_6_12_nAdd_sg = ([1.7528414608421818e+20, 1.8817070842918414e+20, 4.010312836138513e+19, 3.712231276579749e+19, 3.8350289006948116e+20, 1.5876325735743396e+19, 2.939234786479868e+19, 5.869928281621597e+19, 1.9523119331828095e+20, 2.643623114331029e+19, 4.673123662446404e+20, 2.715593233709025e+20, 3.228459313042114e+20], [400, 0, 0, 2, 1, 0, 0, 1, 2, 1, 0, 3, 4]) dbT_e_5_1_12_nAdd_kr = ([770.5552302692274, 719.245346660555, 719.8271307153475, 716.8321520763783, 722.132427325928, 721.674904326375, 714.6201724720261, 718.9814797906851, 727.9036841315599, 754.5769582571893, 724.0870915804081, 736.7537925988017, 728.6916586647378], [400, 1, 1, 0, 3, 1, 0, 1, 0, 1, 0, 1, 0]) dbT_e_5_2_12_nAdd_kr = ([770.5552302692274, 761.0901051186366, 716.6123995721938, 726.6367365989701, 720.8399524044936, 710.9981866533772, 736.1687640067548, 733.7687844920289, 729.1119745049144, 734.9172735223606, 728.7350828932496, 729.7027853558569, 739.238325927174], [400, 2, 0, 0, 2, 0, 0, 3, 1, 1, 2, 1, 1]) dbT_e_4_3_12_nAdd_kr = ([770.5552302692274, 708.2917055466526, 732.9139732684667, 722.0428172830241, 726.5605063467146, 734.9816411621155, 739.783965516972, 724.9654214546767, 725.6210105436074, 722.5506124749087, 737.7326176303816, 725.0832864842259, 721.9434050240893], [400, 0, 2, 2, 0, 1, 0, 0, 1, 1, 0, 0, 1]) dbT_e_4_4_12_nAdd_kr = ([770.5552302692274, 728.2184541944736, 722.7458667709335, 720.4053454372809, 746.701474151888, 746.9648209191228, 727.3284709788916, 746.527326421002, 733.0757366710392, 733.2833936831554, 757.3282032703897, 726.3779255563151, 734.7228981810129], [400, 3, 1, 2, 2, 3, 0, 2, 3, 3, 1, 1, 2]) dbT_e_3_5_12_nAdd_kr = ([770.5552302692274, 724.8132460736779, 740.066539164505, 754.0292025407371, 722.7305276454634, 718.2479628044777, 713.5040903377454, 762.7880354939543, 719.3955236622809, 797.1150372799464, 712.4298270734064, 730.993348836661, 731.6601380513424], [400, 2, 3, 0, 1, 3, 0, 1, 2, 2, 1, 2, 2]) dbT_e_2_6_12_nAdd_kr = ([770.5552302692274, 747.8012857210052, 723.1122616373217, 731.0285946332032, 735.840464531873, 720.6516032209441, 731.5896037145977, 735.4667840493994, 719.8463900901935, 719.122614112453, 740.7595445786923, 736.9929021508635, 725.5518877060391], [400, 0, 2, 0, 1, 3, 1, 0, 1, 0, 0, 0, 1]) dbT_e_5_1_12_nAdd_sv = ([2309.8144585818313, 2309.917430020546, 2309.973572463456, 2309.9211482121104, 2309.906259784001, 2309.97528042827, 2309.9099876806317, 2309.9078426413557, 2309.9093214065597, 2309.865207369902, 2309.89369434894, 2309.8741730081215, 2309.8717782618655], [400, 2, 1, 2, 0, 0, 5, 1, 1, 0, 0, 2, 0]) dbT_e_5_2_12_nAdd_sv = ([2309.8144585818313, 2310.0452619835364, 2310.0591245178657, 2309.968663685232, 2309.9907556512003, 2310.008867816982, 2310.0064398335094, 2310.1141627378934, 2310.001451548579, 2310.0614616504513, 2309.998582980875, 2309.994308305542, 2310.080061246209], [400, 1, 0, 0, 0, 1, 0, 3, 1, 4, 1, 1, 0]) dbT_e_4_3_12_nAdd_sv = ([2309.8144585818313, 2310.04541381371, 2310.0675340454154, 2310.0729380014523, 2310.0556700277884, 2310.0282202672824, 2310.020052393351, 2310.015957919544, 2309.998339659086, 2310.0579738089064, 2310.001791174011, 2310.0151589777242, 2310.051509440031], [400, 2, 3, 0, 1, 0, 0, 1, 1, 3, 1, 1, 2]) dbT_e_4_4_12_nAdd_sv = ([2309.8144585818313, 2310.038262525885, 2310.0247109268353, 2310.0256806456755, 2310.0431487104183, 2310.050854656526, 2310.0603859755147, 2310.0569798618712, 2310.030440461834, 2310.0035452778816, 2310.06561005293, 2310.041561960205, 2310.0757077363864], [400, 0, 2, 1, 1, 1, 1, 1, 0, 0, 0, 1, 0]) dbT_e_3_5_12_nAdd_sv = ([2309.8144585818313, 2310.100117011635, 2310.0191448836545, 2310.0850704612226, 2310.035795603124, 2310.0514156696067, 2310.08707016394, 2310.011639825245, 2310.0056876796853, 2309.9921769227326, 2310.06129618332, 2310.053616119029, 2310.0391302060066], [400, 2, 2, 0, 2, 2, 1, 1, 1, 2, 1, 0, 0]) dbT_e_2_6_12_nAdd_sv = ([2309.8144585818313, 2310.048844984583, 2310.016800628331, 2309.9929456478067, 2310.057610173411, 2310.0822976105787, 2310.0401998260663, 2310.04600834079, 2310.0310145455014, 2310.0819649159425, 2310.0371260890474, 2310.0624136719766, 2310.0587987677513], [400, 1, 2, 3, 1, 1, 1, 0, 3, 0, 4, 1, 4]) ## NOISE ADDITION Laplace dbT_d_5_1_12_nAdL_lr = ([-41.97176185902208, -59.66468244993496, -34.86683974353775, -42.755608915388166, -44.61532551970345, -44.78893840702517, -23.45005418029723, -38.667462699987254, -51.81433627222202, -51.78012474557431, -33.86408212487265, -37.95499396743014], [3, 1, 1, 1, 0, 1, 0, 0, 2, 1, 0, 1]) dbT_d_5_2_12_nAdL_lr = ([-40.48793237863299, -37.64611828064801, -30.602436602597095, -43.5251390778717, -41.55698783177138, -35.59459836591702, -33.254948685754925, -49.29657693225363, -33.72349285172777, -42.202683555481485, -35.353839276096096, -18.827227169422827], [1, 1, 1, 2, 1, 1, 0, 2, 0, 3, 4, 0]) dbT_d_4_3_12_nAdL_lr = ([-28.729337965482614, -50.00707837971197, -46.32637533540117, -48.67067814420204, -33.83211434059183, -51.549680227555655, -13.152707381415667, -31.40824582034338, -40.44073949981157, -35.077148034015636, -20.95398930808733, -30.457204492166625], [0, 0, 1, 1, 2, 2, 1, 1, 1, 4, 1, 2]) dbT_d_4_4_12_nAdL_lr = ([-26.303292406545097, -49.84593147784062, -35.29176642325251, -50.11608139064458, -19.92973279314367, -38.40243868280879, -47.833876204506964, -2.852844253553826, -27.68231999207501, -31.343779006585805, -29.739859019760615, -32.42857770445028], [1, 0, 2, 1, 1, 1, 0, 1, 2, 1, 0, 3]) dbT_d_3_5_12_nAdL_lr = ([12.111788918941102, -36.177310761506874, -44.23255553894137, -25.94067580439844, -44.448705671275206, -31.37400882963584, -40.66141732396352, -5.029450204685531, -41.360225643213994, -43.58376193771801, -35.025710385864954, -35.96045014119147], [1, 3, 0, 2, 1, 3, 2, 2, 2, 0, 2, 0]) dbT_d_2_6_12_nAdL_lr = ([-46.12454364968187, -37.33248584817454, -25.87793811125107, -26.00965855500681, -32.223181754779944, -51.22690603111903, -13.140058042823625, -32.3438869623742, -48.635429674473585, -41.47864774172001, -23.730336115545015, -32.613873118981815], [1, 3, 0, 2, 2, 1, 1, 1, 2, 2, 1, 2]) dbT_d_5_1_12_nAdL_sg = ([-9.67647841099669e+19, -1.4879355579437187e+20, -1.4931119630438495e+20, -1.455193144789351e+20, -1.2682988640381569e+20, 9.523627486456028e+19, -9.494962357568923e+19, -1.6017832914536563e+20, -8.147443477977329e+19, -1.585560061986707e+20, 1.3887937341385284e+20, -1.1892839269474946e+20], [0, 1, 1, 0, 0, 1, 0, 1, 1, 0, 1, 2]) dbT_d_5_2_12_nAdL_sg = ([-8.29044881416133e+18, 4.665801264241058e+18, -2.6145090770005115e+18, -2.779084163871957e+18, 2.4888523646513373e+19, -1.902413469476283e+19, 1.3788457139864543e+19, 3.0354163396331053e+19, 2.6695144620136014e+19, -3.5331861967955292e+19, -3.4776543317941965e+19, 9.682586080806748e+19], [2, 1, 2, 2, 1, 0, 2, 2, 2, 1, 0, 3]) dbT_d_4_3_12_nAdL_sg = ([9.693848140239045e+18, 4.2068871085554975e+19, 8.433419132947825e+17, -2.080811798904044e+19, 1.2325687583327355e+18, -2.242005391350868e+19, 4.2921366639211866e+20, 1.0785395644367828e+20, -1.7213195814983901e+19, -2.7304956082386706e+19, 1.6967794664979212e+20, 1.2551283515551638e+19], [2, 2, 2, 1, 3, 1, 1, 3, 2, 1, 1, 0]) dbT_d_4_4_12_nAdL_sg = ([-1.4780595204212926e+20, -1.2772499141137013e+20, -8.764368468296181e+19, -2.0300520795090026e+19, 5.3433492952034e+20, -1.0340857671105937e+20, -1.0316990119379157e+20, -5.590024257999926e+19, -1.1391850029596682e+20, -1.0335863735408968e+20, -1.3056417289133176e+20, 2.7645320179231696e+20], [1, 1, 0, 1, 0, 2, 0, 0, 1, 0, 1, 0]) dbT_d_3_5_12_nAdL_sg = ([-1.0237817744196433e+20, 2.305893105448583e+18, -1.2828591578513559e+20, 3.0748120270778447e+20, -1.338955030996375e+20, -1.752532215102503e+20, 7.466686096692452e+20, -8.254185457812167e+19, -1.6071200399074283e+20, -8.572193245448353e+19, 7.07770436574496e+19, -1.793699247733133e+20], [1, 0, 1, 1, 0, 3, 1, 1, 1, 2, 4, 2]) dbT_d_2_6_12_nAdL_sg = ([4.408365137908921e+19, 2.6748323642636442e+20, 6.763950247665025e+19, 2.5785715850213126e+19, -7.176169354904183e+18, 3.37158240485967e+19, 5.688222593335079e+18, -6.748105915459232e+18, 7.826913526799997e+19, -4.3569445627987046e+18, 6.20654345326099e+19, -4.1246333568116285e+18], [0, 3, 2, 0, 2, 1, 0, 1, 0, 2, 1, 3]) dbT_d_5_1_12_nAdL_kr = ([-37.30020049644736, -41.870431684086384, -40.513204202723045, -44.96095686785691, -51.240484966838494, -42.09105784477822, -42.00708427919176, -56.21769755125683, -63.37830456801112, -41.91230981012643, -60.537178158286565, -50.85260485392905], [1, 0, 1, 0, 0, 0, 1, 1, 1, 0, 1, 1]) dbT_d_5_2_12_nAdL_kr = ([-30.72008595693842, -48.6327981550844, -40.49929135605407, -53.35139362092434, -40.846800391414604, -52.074236224465835, -35.96555274211414, -39.178225254070185, -42.523781313411405, -39.48871338119068, -38.788926107582824, -36.8588900869056], [2, 1, 1, 1, 2, 0, 1, 1, 1, 1, 1, 1]) dbT_d_4_3_12_nAdL_kr = ([-42.12515009110086, -53.077387075485944, -36.67072485702772, -42.084526777643305, -36.73931179183626, -53.28844268389935, -42.314714433470385, -49.00575882436317, -49.29859294719063, -38.07221976894289, -46.00544005425104, -42.40652209739369], [0, 0, 1, 0, 0, 1, 1, 1, 1, 0, 2, 1]) dbT_d_4_4_12_nAdL_kr = ([-54.16622938197929, -53.913448429545724, -40.39920635892247, -45.94108847907535, -42.085422454529976, -31.592275708811144, -47.00390692280075, -48.300798718610054, -38.90579776698496, -42.20819814477477, -42.87982139275175, -42.022649289337096], [2, 3, 1, 1, 3, 2, 1, 1, 1, 0, 2, 2]) dbT_d_3_5_12_nAdL_kr = ([-28.72803922481762, -48.981626915219636, -41.83889756980477, -33.09611295293075, -34.94141870820283, -38.89758488226289, -48.13532806295996, -45.43695211933084, -32.83781825148458, -45.7699584012023, -41.166345454437305, -40.94979194369671], [1, 0, 1, 0, 0, 0, 3, 0, 0, 1, 0, 2]) dbT_d_2_6_12_nAdL_kr = ([-38.31897208031182, -53.0713604354745, -28.349823546466382, -36.691111587057776, -43.642955405753355, -43.195905106469695, -56.128072093032756, -27.678323167986377, -31.932227633021967, -54.275705004928795, -48.0894885103404, -43.48344370279824], [2, 0, 1, 1, 1, 1, 3, 0, 2, 1, 0, 3]) dbT_d_5_1_12_nAdL_sv = ([0.07810003199301718, 0.04874298299273505, 0.0464140180170034, 0.08310562009501155, 0.0490786984787519, 0.052561876810614194, 0.15929309011653459, 0.06039490802868386, 0.07628791917977651, 0.07503649890304587, 0.13158408645631425, 0.08396808698898894], [0, 0, 0, 1, 1, 1, 1, 0, 1, 2, 3, 0]) dbT_d_5_2_12_nAdL_sv = ([0.22158591041215914, 0.21945458576919918, 0.10673971919595715, 0.21568889106265487, 0.23235672278087804, 0.22051361924559387, 0.17934722803829573, 0.16391907128536332, 0.20363586666417177, 0.2367335856702084, 0.19361191545976908, 0.18922822813237872], [2, 0, 1, 1, 1, 1, 0, 0, 0, 2, 0, 2]) dbT_d_4_3_12_nAdL_sv = ([0.22285401792623816, 0.1805497598884358, 0.2040659305534973, 0.18665010884205913, 0.2059634540632942, 0.23062040960166996, 0.18819974991583877, 0.17314501347254918, 0.25646263270255076, 0.1764383229683517, 0.21809478385557668, 0.2162015684148173], [2, 0, 0, 0, 3, 0, 0, 0, 2, 1, 3, 3]) dbT_d_4_4_12_nAdL_sv = ([0.21743774448759723, 0.2174367548304872, 0.21485528538096332, 0.18713429300396456, 0.1932620900574875, 0.23614489611236422, 0.18701029599424146, 0.2365894355925775, 0.21825361782566688, 0.218589675041585, 0.19030009977859663, 0.24199349013179017], [2, 1, 2, 2, 1, 3, 4, 1, 2, 2, 1, 1]) dbT_d_3_5_12_nAdL_sv = ([0.27507395551901936, 0.19465494270389172, 0.23583689022325416, 0.1461759352032459, 0.2555361769709634, 0.24423691257561586, 0.22361118229309795, 0.27200436554585394, 0.2773634877958102, 0.15801204047374995, 0.23345781056286796, 0.2196517922775456], [1, 1, 0, 2, 1, 1, 0, 0, 0, 1, 0, 0]) dbT_d_2_6_12_nAdL_sv = ([0.24108249264099868, 0.20489004759701857, 0.2369435551481729, 0.25241249611235617, 0.1746434200163094, 0.25601288341795225, 0.2271144669448404, 0.22157230422362773, 0.21603079009219073, 0.2629961412912962, 0.23216085290141564, 0.22281750651200127], [3, 1, 2, 1, 1, 0, 3, 1, 1, 0, 1, 0]) dbT_e_5_1_12_nAdL_lr = ([766.7174638302495, 737.6705886818331, 730.8215707688821, 727.9452086648442, 724.9626995151144, 720.4384151614513, 719.2435961644022, 746.5634605446031, 727.8114240682672, 728.6633755004832, 722.1437829302048, 721.9661850617005, 725.4413374478971], [400, 0, 0, 1, 0, 1, 0, 0, 1, 1, 2, 1, 1]) dbT_e_5_2_12_nAdL_lr = ([766.7174638302495, 728.7060508700777, 740.7170052563624, 739.7544835462539, 731.989774305798, 732.4491723105083, 733.0061193658503, 739.4913489531028, 737.2681434566564, 735.354515700931, 737.7903022010869, 713.6740167192912, 727.6043756162964], [400, 1, 2, 0, 1, 2, 1, 2, 1, 2, 1, 1, 1]) dbT_e_4_3_12_nAdL_lr = ([766.7174638302495, 724.492612378833, 741.7485441902154, 720.2529258133736, 720.5991135070996, 740.1106432301439, 729.3677970045233, 728.8798528483544, 734.4777014295117, 732.1997707793989, 716.5935591280232, 737.7884972927976, 724.0989855662984], [400, 1, 1, 0, 0, 2, 1, 0, 2, 0, 0, 2, 1]) dbT_e_4_4_12_nAdL_lr = ([766.7174638302495, 718.6140007609273, 728.5569842271904, 716.5535265433808, 730.0292881273584, 723.4671646225441, 715.6233705703469, 736.9679515004841, 730.7849107165871, 760.7840665471899, 721.4628698786477, 736.7189493071897, 729.5977957002707], [400, 1, 0, 1, 0, 0, 1, 2, 1, 0, 1, 1, 0]) dbT_e_3_5_12_nAdL_lr = ([766.7174638302495, 714.978951263198, 725.5642518756498, 727.3721793967071, 723.4815514190155, 755.8091235028326, 725.113612235032, 727.7879519205542, 735.2770751246561, 731.4147024527787, 745.2573848361731, 755.5652925926108, 727.0915385524548], [400, 0, 0, 1, 0, 1, 0, 1, 1, 0, 0, 0, 0]) dbT_e_2_6_12_nAdL_lr = ([766.7174638302495, 746.5189179271606, 726.2890670472211, 738.5834008243585, 725.4712340991556, 743.351758469165, 734.1503457015617, 722.2618750114486, 751.9965228375975, 719.3104474435819, 732.4973480008346, 713.478719430745, 728.8921099704903], [400, 1, 0, 1, 1, 2, 0, 2, 1, 1, 2, 1, 1]) dbT_e_5_1_12_nAdL_sg = ([2.624037951045686e+19, 2.306470884319751e+19, 5.587752892712965e+19, 4.970789651347588e+19, 7.1646014128984785e+19, 1.2485934311221027e+20, 1.8434982625023541e+19, 6.43612051464506e+19, 1.5965369983488995e+19, 8.732882434467889e+19, 6.907222627885242e+19, 2.2559056836816843e+19, 2.323817976205403e+19], [400, 1, 1, 0, 1, 0, 0, 1, 0, 0, 1, 1, 4]) dbT_e_5_2_12_nAdL_sg = ([6.366152514482523e+19, 6.481207262645448e+19, 9.061116691575434e+19, 5.517566030824498e+19, 7.549189603428635e+19, 1.9402601787085226e+19, 4.6031247490573815e+20, 5.897060274802763e+19, 1.833562036369836e+20, 7.201521365173083e+20, 2.668319127767922e+20, 3.826468597952325e+19, 1.7765208054289447e+19], [400, 0, 1, 0, 0, 1, 0, 3, 4, 0, 1, 1, 0]) dbT_e_4_3_12_nAdL_sg = ([8.957850707864553e+19, 1.0914274972195791e+20, 3.7186105702741836e+19, 5.905428609157131e+20, 5.193005578926248e+19, 9.114875022171267e+19, 9.555357638627589e+19, 4.175240470537484e+19, 7.2513422808389935e+19, 2.4466919749357904e+19, 2.410760057815113e+19, 5.970018103029957e+19, 2.014367043706578e+19], [400, 2, 1, 2, 2, 1, 1, 0, 0, 0, 0, 1, 0]) dbT_e_4_4_12_nAdL_sg = ([2.006066744963597e+19, 3.6216007790632174e+20, 4.9157223896433204e+20, 1.482817711206706e+19, 2.6017200858250195e+19, 7.45063632188219e+19, 3.2254318062887895e+19, 3.141126408266321e+20, 6.97781692217361e+19, 1.7155305700769602e+19, 1.9387784793199464e+19, 9.274116319208004e+19, 6.062619731286001e+19], [400, 2, 1, 1, 1, 1, 1, 0, 1, 0, 1, 0, 2]) dbT_e_3_5_12_nAdL_sg = ([6.534912591345212e+19, 1.9233067392289417e+20, 2.2619979463790092e+19, 8.605980409439714e+19, 3.3889358655889585e+20, 1.4752353632639372e+20, 2.3504415386864243e+19, 1.3776450662236234e+20, 1.116669491243784e+19, 6.0932407341110534e+19, 1.5376952792100188e+19, 4.264002712084262e+19, 5.582217906565408e+19], [400, 0, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 1]) dbT_e_2_6_12_nAdL_sg = ([9.091810334086038e+19, 1.3101411602673312e+19, 2.9542483598127006e+19, 7.096253370267892e+19, 2.3621708049396466e+19, 1.4742978576012824e+20, 5.764296140259876e+19, 8.169945003145437e+19, 4.6245893637539365e+19, 2.2116849612954003e+20, 5.889718394047179e+19, 2.815384694840531e+19, 6.361194458516476e+20], [400, 1, 0, 0, 1, 1, 2, 2, 3, 1, 1, 1, 0]) dbT_e_5_1_12_nAdL_kr = ([770.5552302692274, 724.8407221337167, 739.7991604459149, 734.7552340259182, 699.1901144185643, 761.024678489858, 732.5152741145165, 725.1948844729833, 720.2739714717596, 719.785178963321, 732.6203075375709, 715.633289707827, 716.8732150658838], [400, 1, 3, 2, 2, 2, 1, 2, 2, 1, 0, 1, 2]) dbT_e_5_2_12_nAdL_kr = ([770.5552302692274, 727.2332100633004, 731.350268035549, 725.1419767448655, 713.0204673380697, 712.0669109394778, 734.5280464838498, 776.0750445223479, 744.2407058704867, 737.9516478869765, 718.1923336103055, 707.4656734033844, 722.9011283046715], [400, 0, 1, 1, 0, 1, 0, 2, 0, 1, 2, 0, 3]) dbT_e_4_3_12_nAdL_kr = ([770.5552302692274, 741.7621463597787, 731.3392554470607, 720.1934913338021, 722.9289838200613, 724.5177202309566, 728.1223187401347, 722.8050173439894, 750.1762082600446, 728.6311274091012, 729.378838802901, 721.7462469397931, 710.0380618021007], [400, 1, 2, 0, 0, 0, 0, 4, 1, 3, 1, 3, 2]) dbT_e_4_4_12_nAdL_kr = ([770.5552302692274, 709.2522515445125, 732.5523894665879, 716.8076674276928, 799.1680546933829, 730.3032370556614, 725.8362585692589, 725.7458700681541, 733.521371134088, 714.0577573233718, 747.9081434075538, 718.2357683563055, 735.312483057374], [400, 0, 3, 2, 2, 2, 1, 1, 1, 2, 0, 0, 1]) dbT_e_3_5_12_nAdL_kr = ([770.5552302692274, 732.8926042399138, 719.0589491212606, 727.5965870395634, 720.9001593626737, 718.158232826497, 734.8296647427045, 734.8395571566302, 742.7851712504612, 692.4757342810858, 735.4192909063559, 744.5693053752298, 739.9582944515591], [400, 1, 2, 1, 2, 0, 2, 2, 0, 0, 1, 0, 1]) dbT_e_2_6_12_nAdL_kr = ([770.5552302692274, 723.658684767579, 719.6692288842048, 728.024071439705, 725.8404493221593, 733.9194025661387, 730.545473524862, 728.6911519011155, 740.920968081976, 717.4543264028061, 729.6888720947626, 735.6340036769757, 733.3013806220457], [400, 2, 2, 1, 0, 2, 0, 0, 0, 1, 1, 1, 1]) dbT_e_5_1_12_nAdL_sv = ([2309.8144585818313, 2309.9090992191655, 2309.898267511749, 2309.914310890772, 2309.876109018407, 2309.8901120426253, 2309.8990264828194, 2309.8887347714467, 2309.8902449533975, 2309.9082106651304, 2309.874578621382, 2309.8947896245218, 2309.9084069222963], [400, 0, 1, 1, 1, 1, 2, 0, 1, 0, 3, 1, 1]) dbT_e_5_2_12_nAdL_sv = ([2309.8144585818313, 2310.0167905172725, 2310.1183273971005, 2310.0523530176333, 2310.020102903555, 2310.034211342559, 2310.045929041126, 2309.9971500010347, 2310.028543506994, 2310.016727269548, 2310.02693073126, 2310.022725660138, 2310.030941810462], [400, 0, 0, 0, 2, 1, 3, 0, 1, 0, 1, 1, 0]) dbT_e_4_3_12_nAdL_sv = ([2309.8144585818313, 2310.0210953777996, 2310.0286385777126, 2310.0708254265533, 2309.9897139841696, 2310.0460728930807, 2310.0255033639996, 2310.040523124793, 2309.967944580509, 2310.0302421920446, 2310.005392385725, 2310.022383228534, 2310.047060586626], [400, 1, 1, 2, 0, 1, 3, 2, 2, 1, 1, 0, 0]) dbT_e_4_4_12_nAdL_sv = ([2309.8144585818313, 2310.018286166803, 2309.996636029638, 2310.042683776685, 2310.077660094453, 2310.0715859967445, 2310.057488082077, 2310.050931007681, 2310.0004361878405, 2310.0648209615215, 2310.0420976135924, 2310.0125542609767, 2310.0694245933714], [400, 1, 2, 2, 1, 1, 0, 1, 0, 2, 0, 6, 2]) dbT_e_3_5_12_nAdL_sv = ([2309.8144585818313, 2310.0801822517687, 2310.031473779729, 2310.0565077471592, 2310.030932596818, 2310.0594663561137, 2309.9810663094986, 2310.006766226577, 2310.0308018632345, 2310.086905716263, 2310.071324202157, 2310.0139210375883, 2310.03122002829], [400, 3, 0, 2, 2, 1, 1, 0, 1, 1, 0, 0, 3]) dbT_e_2_6_12_nAdL_sv = ([2309.8144585818313, 2310.029870113591, 2310.0683566888843, 2310.043919792346, 2310.038589761665, 2310.018080857037, 2309.9973383802835, 2310.0221630478445, 2310.0466557665395, 2310.047503052334, 2309.9902298159363, 2310.0677161100593, 2310.116087173596], [400, 2, 2, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1]) ## NMF dbT_d_5_1_12_nmf_lr = ([1.8314106482406487, -54.07432278063595, -50.30081981123374, -10.351804874234745, 5.91596587076981, 29.452662897645496, 12.177568297252037], [7, 2, 11, 12, 76, 58, 165]) dbT_d_5_2_12_nmf_lr = ([33.5205376225656, 9.40208233260023, -19.849127005929745, 12.334679232207236, 28.801462782146245, 0.3241549477799026, 0.9943906192427221], [7, 2, 23, 32, 79, 391, 381]) dbT_d_4_3_12_nmf_lr = ([-23.35355815306093, -21.81477513270943, 18.23537785813221, 2.57957787302405, 33.10720651755935, -1.9387308591997225, 0.2772032908270603], [2, 10, 14, 59, 122, 361, 390]) dbT_d_4_4_12_nmf_lr = ([-30.65553976711601, -49.861864291690495, -4.5051587688849395, 15.379622439514833, 16.088641727529193, -1.6636865776010836, 0.0], [8, 21, 73, 128, 149, 369, 400]) dbT_d_3_5_12_nmf_lr = ([0.610022488889058, -47.831635462829695, 20.51498762161384, 21.586735674154397, 43.883228717004044, 1.1123140420204436, 0.2881360064571936], [12, 19, 84, 135, 212, 347, 399]) dbT_d_2_6_12_nmf_lr = ([-35.91103540698225, -23.28648459541887, -10.809264842410926, 11.41673651432211, 7.091172437823047, 4.272895145879261, 0.41085644196539306], [3, 10, 56, 145, 201, 375, 392]) dbT_d_5_1_12_nmf_sg = ([3.077463000518917e+20, 4.435445207900499e+20, -1.5854242021834818e+19, -4.4540266214742917e+18, -1.874976897245985e+19, -7.700564550303547e+18, 4.1496869618911027e+18], [7, 3, 15, 12, 70, 166, 112]) dbT_d_5_2_12_nmf_sg = ([-1.3542436376318819e+20, -1.9367867371655758e+20, -1.8838220306686932e+20, -2.0985026662283526e+20, -2.0886785975864918e+20, -2.185269797347473e+20, -1.6037314532454682e+20], [7, 2, 23, 33, 83, 338, 386]) dbT_d_4_3_12_nmf_sg = ([-1.5823041450377503e+18, 1.0912997647516807e+19, 5.5754421687175276e+20, 4.0292461114045006e+19, -9.174183229058623e+18, 2.6309926570527003e+19, 1.7890273999031759e+19], [2, 10, 15, 27, 116, 357, 385]) dbT_d_4_4_12_nmf_sg = ([-8.123696244321063e+18, 1.0563861039177685e+20, -1.273532736601013e+19, 6.68532643724448e+20, 2.6671534948323734e+19, 6.202369888459149e+18, 2.0798229024378008e+19], [9, 20, 81, 127, 146, 371, 397]) dbT_d_3_5_12_nmf_sg = ([2.992491741612765e+20, 6.448917955924048e+20, -1.430913615203344e+19, 6.286172818099866e+20, 3.4252893373819167e+18, 6.653483144501817e+18, -1.915930326296693e+19], [12, 19, 73, 138, 238, 343, 398]) dbT_d_2_6_12_nmf_sg = ([-2.16178660548147e+19, 1.34982672701715e+19, -2.857006150415996e+19, 1.8904517713052192e+20, -3.748534216112571e+19, 1.544890357512323e+18, -1.6424955215063167e+19], [3, 10, 59, 142, 202, 375, 391]) dbT_d_5_1_12_nmf_kr = ([-17.654185511090077, -56.60061106473165, -51.18197637013918, -16.19348588195703, -5.23069571040935, 33.35384972703264, -1.3169991488440473], [6, 3, 12, 11, 76, 97, 181]) dbT_d_5_2_12_nmf_kr = ([19.622714702311328, -5.3953243308108085, -25.55718112388081, -37.58996894183156, 25.551210151584883, -6.178094000041369, -2.773201141443792], [8, 2, 22, 20, 85, 360, 381]) dbT_d_4_3_12_nmf_kr = ([-35.786193307167196, -24.42504448696434, 21.70892655890202, 52.2916606848695, 23.999982887878332, -6.629328811684445, -1.79849199037983], [2, 10, 15, 26, 114, 356, 393]) dbT_d_4_4_12_nmf_kr = ([-39.8356020841087, -54.721457894326136, -5.5687614057070505, 6.140377243794205, 4.347820113058106, -7.586564981448191, 0.0], [8, 21, 73, 126, 146, 370, 400]) dbT_d_3_5_12_nmf_kr = ([-3.121233544438496, -56.59084393450382, -6.973301653826297, 13.312072705575588, 18.49147506091913, -1.1046594647004895, -2.2748079426734193], [12, 18, 89, 141, 163, 334, 398]) dbT_d_2_6_12_nmf_kr = ([-40.98362952562354, -23.596866583497103, -19.218535266362323, 2.3272761120665564, 0.6499345184896583, 1.546998524130231, -1.0484000687818025], [3, 10, 56, 140, 263, 377, 391]) dbT_d_5_1_12_nmf_sv = ([0.006943320787286211, 0.03167240105676683, 0.022383080073268502, 0.017873772298571566, 0.03429814999071823, 0.02871499073035011, 0.02274390827096795], [6, 3, 15, 12, 70, 69, 144]) dbT_d_5_2_12_nmf_sv = ([0.07106343702616869, 0.03005139628157849, 0.017819923874867527, 0.003900305761362688, 0.014085627100030251, 0.0065573620818213385, 0.001174072132926085], [7, 2, 21, 20, 78, 351, 390]) dbT_d_4_3_12_nmf_sv = ([0.0364477730586259, 0.06759323219239377, 0.06044618418900427, 0.009563011225964146, 0.03904328952648939, 0.009847663946402463, 0.0011720915022124245], [2, 10, 14, 57, 120, 270, 389]) dbT_d_4_4_12_nmf_sv = ([0.05465642951003247, 0.011835735660497448, 0.02544210072619535, 0.027087975469385128, 0.04496380428690827, 0.009735328172155278, -0.0004920727342323516], [9, 21, 83, 128, 145, 370, 397]) dbT_d_3_5_12_nmf_sv = ([0.0072871930410656205, 0.05500966387126027, 0.06445792018485008, 0.02583032785287287, -0.003099462142927223, -0.002458822191783838, -0.00017828602312874864], [12, 19, 74, 137, 163, 344, 399]) dbT_d_2_6_12_nmf_sv = ([0.07167858679395067, 0.08224450809984774, -0.025705872135404206, -0.00252974236582304, 0.015896302085366187, -0.005521488094018423, -0.003480733625110588], [3, 10, 56, 140, 202, 375, 391]) dbT_e_5_1_12_nmf_lr = ([766.7174638302495, 767.2365314327782, 713.2114858935006, 701.0886026753387, 757.0329345934629, 768.4828673375351, 811.9659785304983, 773.2974067733794], [400, 6, 3, 16, 14, 84, 103, 189]) dbT_e_5_2_12_nmf_lr = ([766.7174638302495, 801.0520233158109, 779.5035733519469, 746.2294209449399, 776.973523784441, 797.1472379020377, 770.8588053455476, 769.1089083876923], [400, 7, 2, 22, 33, 86, 317, 389]) dbT_e_4_3_12_nmf_lr = ([766.7174638302495, 739.9883528066408, 744.7446482364754, 796.5385593681472, 831.469882444674, 797.9307839583506, 764.9914881499038, 767.3118421021259], [400, 2, 10, 15, 24, 123, 358, 383]) dbT_e_4_4_12_nmf_lr = ([766.7174638302495, 736.507929752768, 714.5033824297115, 763.5019344276948, 779.0235394528113, 782.6509587608458, 765.3611257033908, 766.6572177081646], [400, 9, 21, 72, 125, 145, 325, 399]) dbT_e_3_5_12_nmf_lr = ([766.7174638302495, 767.2645766602138, 718.1810459757802, 762.5031052792805, 788.4393772357255, 789.524810282257, 771.793468809016, 767.0045110675323], [400, 12, 18, 90, 141, 163, 344, 398]) dbT_e_2_6_12_nmf_lr = ([766.7174638302495, 730.7618142292823, 743.4664062687286, 755.9468420878385, 777.3391733682566, 772.9413782109585, 770.8261212764147, 767.2131339834748], [400, 3, 10, 56, 141, 263, 375, 391]) dbT_e_5_1_12_nmf_sg = ([1.5427173458932384e+20, 5.047027225990894e+20, 6.429047382730961e+19, 1.7754452158899828e+20, 6.375571042002208e+19, 1.514008572255298e+20, 4.870793243417453e+19, 3.092223192659986e+19], [400, 7, 3, 14, 12, 80, 89, 101]) dbT_e_5_2_12_nmf_sg = ([3.759931763722654e+19, 8.308393248526834e+20, 6.635848962953365e+19, 1.1097037077487311e+20, 3.5881805074240758e+19, 4.333070731372911e+20, 7.846289575015653e+18, 4.0893874794760454e+19], [400, 7, 2, 23, 20, 83, 300, 356]) dbT_e_4_3_12_nmf_sg = ([5.489494039454562e+19, 3.6989374520787665e+20, 4.067006379896292e+19, 2.2610840259187073e+19, 3.4508738180359483e+19, 4.885910030612533e+19, 1.5929790415171133e+19, 1.6847148409109928e+20], [400, 2, 10, 15, 27, 128, 357, 323]) dbT_e_4_4_12_nmf_sg = ([2.336986383555779e+19, 3.826163674554987e+19, 7.810381355846264e+19, 5.746322692701529e+19, 4.2422532010683605e+19, 4.0426524975789466e+19, 8.447579716006931e+20, 3.574289397775228e+19], [400, 8, 21, 71, 124, 145, 369, 399]) dbT_e_3_5_12_nmf_sg = ([4.205674172251084e+19, 3.0702290937779175e+19, 1.2495190969154149e+20, 7.064872242036744e+19, 2.6645274210435387e+19, 3.426951252102202e+19, 2.1431701051259576e+19, 2.4244585953309934e+20], [400, 12, 19, 74, 139, 170, 340, 399]) dbT_e_2_6_12_nmf_sg = ([1.4042868400031474e+19, 5.218636332190214e+19, 2.9108689604213e+20, 2.7661096714570187e+19, 5.1434113228198035e+19, 7.276953937141135e+19, 1.3923513626688203e+19, 3.4634788723253567e+19], [400, 3, 10, 55, 140, 262, 376, 391]) dbT_e_5_1_12_nmf_kr = ([770.5552302692274, 757.7082336907835, 710.7859909236304, 713.9668233192036, 750.2430929996538, 771.2715383257816, 782.8008550508357, 771.0577133730579], [400, 7, 3, 12, 15, 82, 105, 344]) dbT_e_5_2_12_nmf_kr = ([770.5552302692274, 788.1948405917054, 761.0184976441884, 751.154615334272, 776.8522345831743, 798.0428176848233, 772.1395907184763, 770.5880612213233], [400, 7, 2, 23, 33, 82, 370, 393]) dbT_e_4_3_12_nmf_kr = ([770.5552302692274, 736.763902934331, 741.9752782874008, 780.8126544594248, 823.0408957145467, 785.8151295509194, 762.8152454290112, 767.8146959653452], [400, 2, 11, 14, 26, 120, 361, 368]) dbT_e_4_4_12_nmf_kr = ([770.5552302692274, 731.4728071311853, 715.6546393739452, 768.9395496773202, 781.410992647353, 776.3389235077675, 763.1601480804401, 770.5552302692274], [400, 8, 21, 73, 125, 145, 371, 400]) dbT_e_3_5_12_nmf_kr = ([770.5552302692274, 765.5548130870988, 714.6961982298617, 784.8583861141383, 789.0135855742344, 788.5651000091705, 770.0843115436676, 769.2796515527397], [400, 12, 18, 74, 138, 163, 342, 398]) dbT_e_2_6_12_nmf_kr = ([770.5552302692274, 730.3217207174213, 748.3842045000019, 753.2474396380691, 776.4643286257494, 769.7177443504563, 774.355348922161, 766.6699776304015], [400, 3, 10, 55, 141, 266, 374, 387]) dbT_e_5_1_12_nmf_sv = ([2309.8144585818313, 2309.8214097355067, 2309.8460800721027, 2309.83506020509, 2309.8819100582455, 2309.8530287382587, 2309.851025864415, 2309.8248764562036], [400, 6, 2, 14, 8, 77, 47, 199]) dbT_e_5_2_12_nmf_sv = ([2309.8144585818313, 2309.8849503721503, 2309.8427405008088, 2309.8330333191243, 2309.8386284823086, 2309.826683286917, 2309.818981090482, 2309.8153075778846], [400, 7, 2, 23, 19, 80, 278, 375]) dbT_e_4_3_12_nmf_sv = ([2309.8144585818313, 2309.849624058286, 2309.882172418435, 2309.875504472197, 2309.8774702980645, 2309.8502453688957, 2309.8175773710814, 2309.814883033337], [400, 2, 10, 14, 22, 117, 354, 384]) dbT_e_4_4_12_nmf_sv = ([2309.8144585818313, 2309.869397087635, 2309.8133605971097, 2309.857005582398, 2309.851144302271, 2309.8619047167767, 2309.822718259455, 2309.8144585818313], [400, 8, 21, 73, 100, 146, 371, 400]) dbT_e_3_5_12_nmf_sv = ([2309.8144585818313, 2309.821865085466, 2309.8665861304075, 2309.878006083634, 2309.8409198690492, 2309.8111535107805, 2309.8158819595005, 2309.814280295808], [400, 12, 19, 74, 140, 162, 337, 399]) dbT_e_2_6_12_nmf_sv = ([2309.8144585818313, 2309.8869292696236, 2309.8965047498086, 2309.7932773587527, 2309.8047488418156, 2309.8292477182044, 2309.809226598643, 2309.810977848206], [400, 3, 10, 54, 150, 200, 376, 391]) ## SVD dbT_d_5_1_12_svd_lr = ([7.498096206755008, -39.200867072965025, -33.26716909689458, 6.740942534681835, 1.5563391317220976, 0.050883208119785195, 0.050883208119785195], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_lr = ([-4.800495794941298, -11.146054436584109, -4.281508426298728, 4.981207125984042, 4.739222704788517, 0.0, 0.0], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_lr = ([-56.525311072467275, 62.20982512230398, -13.1260900539678, 16.99732228529956, 2.944735479467795, 0.2663978403099918, 0.0], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_lr = ([-38.85034680340675, -1.7391115806728976, -28.56809488269539, -65.83432562855091, 23.711208756529345, -0.7075320414719499, 0.0], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_lr = ([45.18768244732041, 36.39927552508095, 21.76137099551613, 8.353878162172691, 17.884760414374455, -0.007987136756241853, 0.0], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_lr = ([-47.07335909478911, 80.0658395182752, -7.6944637386436625, 3.6824425832161296, 34.23229468316822, 49.475386265323664, -0.7266550855923697], [29, 32, 12, 20, 53, 43, 395]) dbT_d_5_1_12_svd_sg = ([-2.2153220452904862e+20, -2.7872493920701972e+20, -9.807129301929001e+19, -1.8059123916886596e+20, -2.234969724496846e+20, -1.8683563526415237e+20, -2.448470180000943e+20], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_sg = ([3.7887708527425225e+19, -6.062000241297521e+19, -4.054804032752322e+19, 2.8671467354707457e+20, -7.310119911544047e+19, -4.593647857188468e+19, 5.267435324976042e+20], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_sg = ([-2.652560336213555e+18, 7.477106846019101e+18, 7.963935429863358e+18, 4.701404231188398e+19, 1.967487147542802e+19, 1.8377048142627107e+19, 1.0623098056589292e+19], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_sg = ([-9.342593572175667e+17, 7.780534253271355e+18, -8.351022910892476e+18, 7.540946872607769e+18, -5.786848953893718e+18, 6.787528001033544e+17, 6.575937949451125e+18], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_sg = ([-1.4428500753906316e+20, -1.9897740583578527e+20, -1.9855923506789522e+20, -2.0223697802098377e+20, 6.110953390667209e+19, -2.4150165689155446e+20, -2.3258472681764297e+20], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_sg = ([-5.571392739013632e+18, 5.262284814199518e+20, 1.5234052641973821e+19, -3.1034465728723317e+19, -4.795308736767966e+19, -1.3415817644518285e+19, 3.6366858513283015e+19], [29, 32, 12, 20, 53, 43, 395]) dbT_d_5_1_12_svd_kr = ([4.3879844977223, -47.546106071452414, -36.254755047995104, -1.5405321648746622, -0.978421855582269, 0.6374355761104198, 0.6374355761104198], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_kr = ([-17.8074574061435, -17.31550766728492, -14.540812096189597, -0.0060877748975372015, 0.39228709436281406, 0.0, 0.0], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_kr = ([-57.10978274356614, 42.5349079046797, -21.91477395805134, 11.69997560740319, 1.0300451065253355, -0.04689739254354208, 0.0], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_kr = ([-40.50330273892837, -15.99050071870306, -39.28097510016437, -69.67385491926177, 20.738466608490512, -2.4943179458134637, 0.0], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_kr = ([36.16686415684126, 25.985332315009032, 16.343469850854262, 3.2802351320927983, 12.855269806929186, -1.803700720323377, 0.0], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_kr = ([-49.46514687994909, 58.6094217424793, -17.266594293714775, -1.264394200865695, 35.35881633165627, 34.647225812810234, -0.6660496463770187], [29, 32, 12, 20, 53, 43, 395]) dbT_d_5_1_12_svd_sv = ([0.021053083099559444, 0.04041193927059794, 0.02931636987023012, 0.028692165331904107, -0.0003148704440718575, -0.0001375452311549452, -0.0001375452311549452], [11, 26, 30, 142, 397, 399, 399]) dbT_d_5_2_12_svd_sv = ([0.010820443119428091, 0.01999167699159443, 0.023491385293709754, 0.018642076158357668, 0.012872936198618845, 0.0, 0.0], [13, 50, 105, 98, 360, 400, 400]) dbT_d_4_3_12_svd_sv = ([-0.03512887108627183, 0.036846322620021965, 0.02038480417104438, 0.02607363228480608, 0.014967216895001911, 5.200066516408697e-05, 0.0], [2, 16, 41, 226, 317, 395, 400]) dbT_d_4_4_12_svd_sv = ([-0.006511081274766184, 0.009477981604959496, 0.047137767574895406, -0.012942527657742176, 0.0020327466586422815, 0.0027069229340668244, 0.0], [4, 12, 23, 58, 307, 395, 400]) dbT_d_3_5_12_svd_sv = ([-0.03624497707141927, -0.0007707158133598568, -0.0018027332171186572, -0.020460366996303492, -0.0035274012248009967, -1.2660943411901826e-05, 0.0], [6, 47, 23, 73, 349, 398, 400]) dbT_d_2_6_12_svd_sv = ([0.009511771277175285, 0.029526503443776164, 0.032474295484462345, -0.007498545710404869, 0.04017584926577911, 0.06450239598461849, -0.0017899596768984338], [29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_lr = ([766.7174638302495, 774.2155600370045, 727.5165967572844, 733.4502947333549, 773.4584063649313, 768.2738029619716, 766.7683470383693, 766.7683470383693], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_lr = ([766.7174638302495, 761.9169680353082, 755.5714093936654, 762.4359554039507, 771.6986709562335, 771.456686535038, 766.7174638302495, 766.7174638302495], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_lr = ([766.7174638302495, 710.1921527577822, 828.9272889525535, 753.5913737762817, 783.714786115549, 769.6621993097173, 766.9838616705595, 766.7174638302495], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_lr = ([766.7174638302495, 727.8671170268427, 764.9783522495766, 738.1493689475541, 700.8831382016986, 790.4286725867788, 766.0099317887775, 766.7174638302495], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_lr = ([766.7174638302495, 811.9051462775699, 803.1167393553304, 788.4788348257656, 775.0713419924222, 784.6022242446239, 766.7094766934932, 766.7174638302495], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_lr = ([766.7174638302495, 719.6441047354604, 846.7833033485247, 759.0230000916058, 770.3999064134656, 800.9497585134177, 816.1928500955731, 765.9908087446571], [400, 29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_sg = ([1.2619029450774225e+19, 1.2809387173299285e+20, 3.125358669272731e+19, 8.019633724226263e+19, 1.2870656554904381e+19, 7.711895271567062e+19, 6.054320065357134e+19, 2.1106909866387067e+19], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_sg = ([1.8564329672092153e+20, 2.321214990085987e+19, 3.8514227513290056e+19, 1.4042171519786748e+19, 1.7818924343265161e+19, 9.793559914841457e+19, 1.962712943607e+19, 5.073385532634059e+19], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_sg = ([6.196463190982184e+19, 4.0953444796357526e+19, 1.278302386492903e+19, 1.6581992827937923e+19, 3.373189198396233e+20, 5.4626686500285055e+20, 2.8456497925105242e+19, 2.758773982398334e+19], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_sg = ([3.938160983109908e+19, 4.467960447092811e+20, 3.162304126956496e+19, 1.581219311003758e+20, 1.1543705663539616e+19, 2.246326995366041e+19, 2.0849190622572187e+20, 1.2034063391465642e+19], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_sg = ([2.7082929271006724e+19, 1.7030697105192275e+20, 2.916775918881897e+19, 1.1689549746622004e+20, 1.900817520219976e+19, 1.0247145034447644e+20, 6.3124116173655564e+19, 1.5631370361392257e+19], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_sg = ([4.572961991054766e+19, 7.116074536432693e+18, 2.3371829062178263e+19, 9.741538912898757e+18, 7.036608065634208e+19, 1.3911187975177812e+20, 2.7416885416412795e+19, 7.924630973462818e+19], [400, 29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_kr = ([770.5552302692274, 774.9432147669497, 723.009124197775, 734.3004752212323, 769.0146981043528, 769.5768084136452, 771.1926658453378, 771.1926658453378], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_kr = ([770.5552302692274, 752.7477728630839, 753.2397226019425, 756.0144181730378, 770.5491424943299, 770.9475173635902, 770.5552302692274, 770.5552302692274], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_kr = ([770.5552302692274, 713.4454475256613, 813.0901381739071, 748.6404563111761, 782.2552058766306, 771.5852753757528, 770.5083328766839, 770.5552302692274], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_kr = ([770.5552302692274, 730.051927530299, 754.5647295505244, 731.274255169063, 700.8813753499657, 791.2936968777179, 768.060912323414, 770.5552302692274], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_kr = ([770.5552302692274, 806.7220944260687, 796.5405625842365, 786.8987001200817, 773.8354654013202, 783.4105000761566, 768.751529548904, 770.5552302692274], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_kr = ([770.5552302692274, 721.0900833892783, 829.1646520117067, 753.2886359755126, 769.2908360683617, 805.9140466008837, 805.2024560820377, 769.8891806228504], [400, 29, 32, 12, 20, 53, 43, 395]) dbT_e_5_1_12_svd_sv = ([2309.8144585818313, 2309.835511664931, 2309.854870521102, 2309.8437749517016, 2309.8431507471632, 2309.8141437113873, 2309.8143210366, 2309.8143210366], [400, 11, 26, 30, 142, 397, 399, 399]) dbT_e_5_2_12_svd_sv = ([2309.8144585818313, 2309.8252790249508, 2309.834450258823, 2309.837949967125, 2309.8331006579897, 2309.82733151803, 2309.8144585818313, 2309.8144585818313], [400, 13, 50, 105, 98, 360, 400, 400]) dbT_e_4_3_12_svd_sv = ([2309.8144585818313, 2309.779329710745, 2309.8513049044514, 2309.8348433860024, 2309.840532214116, 2309.8294257987263, 2309.8145105824965, 2309.8144585818313], [400, 2, 16, 41, 226, 317, 395, 400]) dbT_e_4_4_12_svd_sv = ([2309.8144585818313, 2309.8079475005566, 2309.8239365634363, 2309.861596349406, 2309.8015160541736, 2309.81649132849, 2309.8171655047654, 2309.8144585818313], [400, 4, 12, 23, 58, 307, 395, 400]) dbT_e_3_5_12_svd_sv = ([2309.8144585818313, 2309.77821360476, 2309.813687866018, 2309.812655848614, 2309.793998214835, 2309.8109311806065, 2309.814445920888, 2309.8144585818313], [400, 6, 47, 23, 73, 349, 398, 400]) dbT_e_2_6_12_svd_sv = ([2309.8144585818313, 2309.8239703531085, 2309.843985085275, 2309.846932877316, 2309.806960036121, 2309.854634431097, 2309.878960977816, 2309.8126686221544], [400, 29, 32, 12, 20, 53, 43, 395]) ## PCA dbT_d_5_1_12_pca_lr = ([-47.601101831277674, 23.89835654639853, -29.434458361756015], [4, 10, 25]) dbT_d_5_2_12_pca_lr = ([12.863865623780612, 29.070382985250603, -11.371700111945984], [30, 10, 50]) dbT_d_4_3_12_pca_lr = ([13.299139254794, -56.482588718965985, -7.363892609902109], [33, 2, 20]) dbT_d_4_4_12_pca_lr = ([13.158211926132822, -21.882554251465194, 10.726739365166964], [35, 3, 11]) dbT_d_3_5_12_pca_lr = ([-13.94924092946303, 16.264443641958792, 28.944671014310188], [34, 9, 49]) dbT_d_2_6_12_pca_lr = ([-15.784646036812887, 54.59858967479897, 74.2405957168827], [31, 11, 32]) dbT_d_5_1_12_pca_sg = ([-2.7668913153753862e+19, 3.658630618709351e+19, -2.1309088621511418e+19], [4, 10, 25]) dbT_d_5_2_12_pca_sg = ([4.049962451613893e+19, 4.494519912711338e+20, 4.59532033471864e+19], [30, 10, 50]) dbT_d_4_3_12_pca_sg = ([3.151146720334813e+19, -1.1927610079490134e+19, 2.83193956916377e+19], [33, 2, 20]) dbT_d_4_4_12_pca_sg = ([2.5173954358325477e+19, 2.9036257711096008e+20, -1.3101996035292123e+19], [35, 3, 11]) dbT_d_3_5_12_pca_sg = ([-5.988841214702006e+18, 1.664926196457356e+20, 3.619944602827919e+20], [34, 9, 49]) dbT_d_2_6_12_pca_sg = ([-8.76815428261536e+19, -8.278306431995265e+19, -6.083819769495916e+19], [31, 11, 32]) dbT_d_5_1_12_pca_kr = ([-53.86873674396702, 13.967924590106804, -38.979109561196196], [4, 10, 25]) dbT_d_5_2_12_pca_kr = ([8.308084914089363, 8.672323509681405, -18.130880482458565], [30, 10, 50]) dbT_d_4_3_12_pca_kr = ([4.893627383184366, -60.083480118645866, -21.761366707571256], [33, 2, 20]) dbT_d_4_4_12_pca_kr = ([-1.2369143990113116, -19.843546724799353, -0.606373415467715], [35, 3, 11]) dbT_d_3_5_12_pca_kr = ([-25.377684172556314, 10.884212777018092, 23.662441740268832], [34, 9, 49]) dbT_d_2_6_12_pca_kr = ([-24.20264670332824, 38.394977505357474, 55.091699998789295], [31, 11, 32]) dbT_d_5_1_12_pca_sv = ([0.011137593651255884, 0.026690443381994555, 0.04553763542799061], [4, 10, 25]) dbT_d_5_2_12_pca_sv = ([0.00717397457901825, 0.02609970361845626, 0.020652313064601913], [30, 10, 50]) dbT_d_4_3_12_pca_sv = ([0.010627487412421033, -0.030707366897786414, 0.06094017480290859], [33, 2, 20]) dbT_d_4_4_12_pca_sv = ([0.010337221504869376, -0.01810343114175339, 0.05374800924346346], [35, 3, 11]) dbT_d_3_5_12_pca_sv = ([0.013994417658523162, -0.027283024875487172, 0.00040766774600342615], [34, 9, 49]) dbT_d_2_6_12_pca_sv = ([0.012349386701771436, 0.034842369659145334, 0.033235850362416386], [31, 11, 32]) dbT_e_5_1_12_pca_lr = ([766.7174638302495, 719.1163619989718, 790.615820376648, 737.2830054684935], [400, 4, 10, 25]) dbT_e_5_2_12_pca_lr = ([766.7174638302495, 779.5813294540301, 795.7878468155001, 755.3457637183035], [400, 30, 10, 50]) dbT_e_4_3_12_pca_lr = ([766.7174638302495, 780.0166030850435, 710.2348751112835, 759.3535712203474], [400, 33, 2, 20]) dbT_e_4_4_12_pca_lr = ([766.7174638302495, 779.8756757563823, 744.8349095787843, 777.4442031954164], [400, 35, 3, 11]) dbT_e_3_5_12_pca_lr = ([766.7174638302495, 752.7682229007864, 782.9819074722083, 795.6621348445597], [400, 34, 9, 49]) dbT_e_2_6_12_pca_lr = ([766.7174638302495, 750.9328177934366, 821.3160535050484, 840.9580595471322], [400, 31, 11, 32]) dbT_e_5_1_12_pca_sg = ([6.7948574238370054e+19, 1.864563332148159e+19, 1.0062405484598993e+20, 5.272638318161066e+19], [400, 4, 10, 25]) dbT_e_5_2_12_pca_sg = ([2.6393741180019683e+19, 4.689155015339935e+19, 6.516424991202465e+19, 1.1659681113718184e+20], [400, 30, 10, 50]) dbT_e_4_3_12_pca_sg = ([3.689874599505423e+19, 3.7864532208841425e+19, 2.4315022610416837e+19, 1.7386723628160034e+20], [400, 33, 2, 20]) dbT_e_4_4_12_pca_sg = ([1.1839653881667196e+20, 1.1675298188628494e+20, 1.2837620512483811e+19, 2.3024923972914897e+19], [400, 35, 3, 11]) dbT_e_3_5_12_pca_sg = ([2.101285242798031e+19, 2.8262869670650954e+19, 1.748905921833002e+19, 6.640538026361701e+19], [400, 34, 9, 49]) dbT_e_2_6_12_pca_sg = ([2.164201762849609e+20, 2.247253283988201e+19, 1.766985159633474e+19, 4.871398352393379e+19], [400, 31, 11, 32]) dbT_e_5_1_12_pca_kr = ([770.5552302692274, 716.6864935252604, 784.5231548593342, 731.5761207080312], [400, 4, 10, 25]) dbT_e_5_2_12_pca_kr = ([770.5552302692274, 778.8633151833168, 779.2275537789088, 752.4243497867689], [400, 30, 10, 50]) dbT_e_4_3_12_pca_kr = ([770.5552302692274, 775.4488576524118, 710.4717501505816, 748.7938635616562], [400, 33, 2, 20]) dbT_e_4_4_12_pca_kr = ([770.5552302692274, 769.3183158702161, 750.7116835444281, 769.9488568537597], [400, 35, 3, 11]) dbT_e_3_5_12_pca_kr = ([770.5552302692274, 745.1775460966711, 781.4394430462455, 794.2176720094963], [400, 34, 9, 49]) dbT_e_2_6_12_pca_kr = ([770.5552302692274, 746.3525835658992, 808.9502077745849, 825.6469302680167], [400, 31, 11, 32]) dbT_e_5_1_12_pca_sv = ([2309.8144585818313, 2309.8255961754826, 2309.8411490252133, 2309.8599962172593], [400, 4, 10, 25]) dbT_e_5_2_12_pca_sv = ([2309.8144585818313, 2309.8216325564103, 2309.84055828545, 2309.835110894896], [400, 30, 10, 50]) dbT_e_4_3_12_pca_sv = ([2309.8144585818313, 2309.8250860692438, 2309.7837512149335, 2309.8753987566342], [400, 33, 2, 20]) dbT_e_4_4_12_pca_sv = ([2309.8144585818313, 2309.824795803336, 2309.7963551506896, 2309.868206591075], [400, 35, 3, 11]) dbT_e_3_5_12_pca_sv = ([2309.8144585818313, 2309.82845299949, 2309.787175556956, 2309.8148662495773], [400, 34, 9, 49]) dbT_e_2_6_12_pca_sv = ([2309.8144585818313, 2309.826807968533, 2309.8493009514905, 2309.8476944321937], [400, 31, 11, 32]) ## MULTIPLE EXECUTIONS: dbT_e_5_1_12_nAdd_lr0 = ([744.362529371534, 735.6615028681005, 732.8982116293452, 727.2059551615894, 728.4436647053997, 736.6633630723986, 717.0022877243392, 735.7255204079897, 722.3403924767808, 727.7429803728836, 727.1394390926264, 724.5554524059918, 724.2250747316343], [400, 0, 2, 1, 0, 0, 0, 1, 1, 1, 0, 1, 0]) dbT_e_5_1_12_nAdd_lr1 = ([744.362529371534, 737.1703545579244, 720.6821567947665, 726.3741219001578, 726.8426032625252, 735.8922806504701, 724.0146379508162, 719.6954717579187, 723.6744766484272, 732.8673439757457, 724.8834184458589, 720.6575617614052, 743.0870308419376], [400, 1, 1, 1, 0, 1, 1, 0, 1, 1, 0, 2, 0]) dbT_e_5_1_12_nAdd_lr2 = ([744.362529371534, 734.578459087218, 733.7882237227428, 733.9514781634161, 718.1480548878176, 743.878194849381, 758.0894220388203, 723.6150529648095, 739.2417727702086, 725.2403107334777, 728.0217181197731, 724.9726795918602, 741.4445044022303], [400, 0, 2, 0, 1, 0, 1, 0, 1, 2, 0, 2, 0]) dbT_e_5_1_12_nAdd_lr3 = ([744.362529371534, 740.4493022060421, 737.9672590376978, 722.1299305235291, 728.7756802291581, 730.0917284173274, 729.7586101768104, 716.105713542697, 727.9266547220371, 731.0339131793579, 742.5700563044413, 724.4149861486476, 719.9962554585194], [400, 2, 1, 1, 1, 2, 1, 2, 0, 2, 0, 4, 0]) dbT_e_5_1_12_nAdd_lr4 = ([744.362529371534, 737.847267347664, 721.5912823125876, 730.4236717060363, 726.0867551604425, 726.1506653912121, 720.4365433087008, 727.0541302674391, 728.4667272975292, 732.5534305329685, 745.9731946774783, 728.177941460648, 750.0793870664666], [400, 1, 2, 1, 0, 1, 2, 2, 0, 1, 2, 0, 1]) dbT_e_5_1_12_nAdd_lr5 = ([744.362529371534, 736.3004075612637, 733.3343000487347, 733.0485168510739, 716.3204304874475, 731.807845775998, 727.870880464522, 724.2261288351448, 719.2648601604374, 730.098780092008, 740.5355262960893, 727.5004772328426, 730.8702762046453], [400, 0, 2, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0]) dbT_e_5_1_12_nAdd_lr6 = ([744.362529371534, 725.8165486956045, 723.2793187510142, 734.7616592553866, 734.1390737441508, 723.4191876224029, 730.5265172711695, 723.6675417038158, 730.176302522137, 724.6020541574985, 701.7264873888356, 743.926344327127, 750.5005961808841], [400, 0, 2, 2, 1, 1, 0, 1, 1, 0, 2, 0, 0]) dbT_e_5_1_12_nAdd_lr7 = ([744.362529371534, 724.8653892605084, 741.9152318720113, 729.6577497787582, 730.7499645936997, 731.3750447318946, 706.4220858320039, 750.03133879524, 732.6531422651854, 731.6488487380728, 739.3375404326131, 726.7133340720359, 713.907543504451], [400, 3, 1, 1, 2, 0, 1, 0, 0, 1, 0, 2, 0]) dbT_e_5_1_12_nAdd_lr8 = ([744.362529371534, 731.3333924719924, 727.7345886199494, 736.6253385524523, 726.6345047051407, 722.625401354071, 736.8717741549572, 718.9700804356341, 723.5497999993929, 737.5445681926255, 747.4845134976493, 713.063188709241, 739.105169544862], [400, 1, 0, 0, 3, 1, 2, 0, 1, 0, 1, 0, 0]) dbT_e_5_1_12_nAdd_lr9 = ([744.362529371534, 784.6455590390136, 736.4371673390052, 724.3168742644349, 734.9168102517175, 734.8084307700958, 736.5274502498049, 735.0470264296546, 767.1952540600436, 730.1815073860289, 725.9184226617667, 713.9161117345205, 731.0995802607947], [400, 3, 0, 1, 2, 2, 0, 2, 4, 1, 0, 2, 1]) dbT_e_5_2_12_nAdd_lr0 = ([744.362529371534, 738.1895441873888, 738.6357743229094, 737.9711506086572, 729.0207321578092, 731.7949098179208, 734.1275457554102, 730.8013530602, 718.0503334602504, 729.9214911679269, 729.6146029104143, 734.6962520961637, 734.2729631207966], [400, 0, 0, 1, 0, 2, 0, 2, 0, 2, 2, 1, 2]) dbT_e_5_2_12_nAdd_lr1 = ([744.362529371534, 723.7874083389437, 734.4025853156372, 731.9915417292714, 729.63149036258, 746.4037471525164, 736.5575577175135, 729.734168982308, 735.7606789887145, 744.533342643917, 735.3275274136628, 738.4440582013043, 729.6125370263785], [400, 1, 2, 2, 0, 2, 0, 0, 2, 0, 1, 0, 0]) dbT_e_5_2_12_nAdd_lr2 = ([744.362529371534, 735.7192659779264, 726.2866163686152, 727.2040521636665, 755.5377330510998, 744.068104687025, 740.9332303322899, 738.8993760677065, 735.4738107160799, 730.7523660042302, 720.3751678040893, 766.2737576562755, 727.6664328987262], [400, 0, 1, 1, 1, 1, 0, 0, 0, 3, 0, 2, 1]) dbT_e_5_2_12_nAdd_lr3 = ([744.362529371534, 734.0482249859174, 736.955576585562, 736.5934466528887, 734.6738031894837, 746.7175413468747, 738.8148915777967, 747.3329900157846, 735.4224099008119, 729.6469782334967, 722.2726300717165, 733.7631059468387, 738.0918833349328], [400, 1, 2, 1, 1, 1, 2, 1, 0, 0, 0, 0, 0]) dbT_e_5_2_12_nAdd_lr4 = ([744.362529371534, 729.8050128565385, 732.708253869961, 744.7908453303426, 754.2324053139936, 736.8508709513104, 742.417852512828, 745.721056268757, 732.5206768236344, 739.9863899359303, 741.0946797827812, 722.2638256913807, 734.2442643942444], [400, 0, 0, 2, 1, 1, 1, 0, 1, 0, 0, 1, 0]) dbT_e_5_2_12_nAdd_lr5 = ([744.362529371534, 733.6031934762372, 708.5975063941456, 730.9569681660035, 736.2924971143128, 719.4052665394914, 729.8047130765166, 732.3651644655645, 719.806586875561, 729.0731091765575, 745.3463527296435, 724.7086501615278, 732.1745456008277], [400, 0, 4, 0, 2, 1, 2, 0, 1, 1, 3, 3, 1]) dbT_e_5_2_12_nAdd_lr6 = ([744.362529371534, 740.1107917671148, 730.2445252911248, 735.9751251095373, 729.5034266194094, 725.9511831951401, 728.7158645792748, 739.2884738669409, 725.883994375967, 726.5199094978515, 727.0086048850112, 741.5340858615376, 724.8435794000592], [400, 0, 0, 0, 1, 1, 0, 2, 1, 1, 1, 1, 1]) dbT_e_5_2_12_nAdd_l7r = ([744.362529371534, 731.4385167622571, 726.8185669831636, 742.8136655189649, 742.8807475029021, 729.0857587832859, 736.5564002217089, 732.3427539673297, 748.4106162269702, 736.4429007859881, 742.8953516850872, 731.0327678796001, 730.7343176919221], [400, 0, 2, 1, 0, 0, 3, 1, 1, 0, 1, 2, 3]) dbT_e_5_2_12_nAdd_lr8 = ([744.362529371534, 732.7223571956706, 724.8033968821085, 714.2895662969133, 726.3318565890592, 732.9594429815584, 733.0309202728657, 709.9635700434042, 728.5536570044492, 730.6157847187657, 728.0130383933981, 729.7241863707676, 739.0080466830719], [400, 0, 2, 1, 1, 0, 0, 3, 1, 0, 0, 0, 0]) dbT_e_5_2_12_nAdd_lr9 = ([744.362529371534, 731.7654935704093, 746.8182485771047, 737.7662174092361, 728.3068437707819, 730.2614924016382, 733.8588227006086, 731.9170871932232, 732.0018545748331, 739.3296218980404, 719.0528886312699, 733.9579938997812, 735.9773473590918], [400, 1, 1, 0, 0, 1, 1, 0, 0, 0, 1, 2, 1]) dbT_e_4_3_12_nAdd_lr0 = ([744.362529371534, 725.1943042115195, 735.5061370554082, 707.0288637829636, 735.9097327455004, 729.5439739086665, 728.9092342893279, 730.3880196704345, 733.511063367759, 731.8781492213378, 732.5011074577401, 720.2752315227842, 743.1705444786809], [400, 0, 0, 1, 1, 2, 2, 1, 0, 2, 1, 4, 2]) dbT_e_4_3_12_nAdd_lr1 = ([744.362529371534, 728.8796748589808, 737.1571895136998, 738.4036151986755, 730.261079317108, 724.9564393664339, 728.216874710259, 738.842463751384, 720.140994573065, 737.0618251755127, 734.1192483742922, 724.4645052175946, 732.8435640229309], [400, 1, 0, 0, 2, 3, 0, 1, 1, 1, 1, 1, 3]) dbT_e_4_3_12_nAdd_lr2 = ([744.362529371534, 731.3022505850707, 782.9078497262943, 723.2311881064865, 737.9459983129623, 753.6881415359805, 726.4698740561039, 737.4213518392477, 744.6659312155845, 727.4222946714004, 744.6459822137081, 733.2296028320175, 717.5003222253949], [400, 0, 2, 1, 1, 0, 2, 0, 2, 2, 2, 1, 3]) dbT_e_4_3_12_nAdd_lr3 = ([744.362529371534, 725.1112419044298, 817.2349022791527, 733.9891953595351, 730.7775130603129, 741.9106940369754, 730.7184004087854, 751.9594942992995, 724.2708615973434, 727.819565202888, 736.6872816937087, 723.2244448210678, 726.256243526396], [400, 0, 2, 1, 0, 1, 1, 0, 3, 0, 0, 0, 0]) dbT_e_4_3_12_nAdd_lr4 = ([744.362529371534, 741.4519278428232, 725.7514732152915, 732.661991683076, 741.7086769007288, 731.5981413352453, 742.0738171546996, 729.1679335465926, 737.3745752487013, 709.6902599896318, 740.4629901105711, 724.8528681895413, 720.8001980711342], [400, 1, 0, 1, 4, 1, 0, 0, 0, 0, 0, 0, 1]) dbT_e_4_3_12_nAdd_lr5 = ([744.362529371534, 731.2044487670527, 715.2874640036077, 738.5830551135886, 742.7986481630181, 763.8476662314796, 750.538561391572, 727.6320759028914, 728.8650056481001, 725.4916627943338, 728.7152786266914, 730.337798258399, 728.5745946234766], [400, 0, 1, 0, 0, 2, 3, 0, 0, 1, 1, 0, 1]) dbT_e_4_3_12_nAdd_lr6 = ([744.362529371534, 746.1120753634389, 734.885214031737, 727.6490809439222, 734.9162489311174, 725.1290327492418, 729.0237787111527, 722.3744874718454, 731.1501857208177, 725.4806980246622, 731.9922180308579, 724.7176392291822, 746.8945540710062], [400, 1, 2, 1, 0, 0, 0, 0, 1, 1, 0, 1, 1]) dbT_e_4_3_12_nAdd_lr7 = ([744.362529371534, 725.4780472339002, 717.8058386282161, 730.4187638333116, 738.5124405827659, 731.1489729557184, 738.304894564307, 725.7244817800046, 733.6335040818249, 736.0022053560385, 725.659242127436, 746.8991526348337, 725.3276568949118], [400, 0, 3, 0, 0, 2, 4, 0, 1, 1, 0, 0, 2]) dbT_e_4_3_12_nAdd_lr8 = ([744.362529371534, 733.676313089456, 730.0038849534589, 740.9210840258918, 746.5806262061261, 722.1441295216164, 726.2267624853888, 723.9227341358812, 744.3457972386822, 737.7811238867038, 733.650366894271, 728.8050131139502, 731.049969058601], [400, 1, 0, 0, 2, 2, 1, 0, 1, 0, 0, 0, 1]) dbT_e_4_3_12_nAdd_lr9 = ([744.362529371534, 728.7284500911147, 728.5129215779543, 737.6604449890955, 725.4606215261274, 731.0138437636332, 728.9262977935743, 726.7843564466574, 725.8172449600253, 728.2854042711166, 738.1255381728535, 722.5847229527349, 733.442491906131], [400, 1, 1, 2, 1, 1, 2, 1, 0, 1, 3, 0, 1]) dbT_e_4_4_12_nAdd_lr0 = ([744.362529371534, 739.6933286071015, 745.6413958193997, 747.7624048674701, 731.8762977497255, 744.826952112097, 747.7141933561553, 750.9365529359659, 743.9043997742268, 742.2288685723734, 739.7346410409732, 739.7572669710388, 706.7596871521495], [400, 1, 1, 0, 3, 1, 1, 0, 0, 1, 2, 1, 1]) dbT_e_4_4_12_nAdd_lr1 = ([744.362529371534, 750.3172666682301, 745.0954042629696, 768.1762299533397, 756.7102537436241, 741.307061982201, 740.8682421019599, 761.7952997931951, 738.8714803699069, 747.6082136772985, 749.142689507468, 750.2058673702672, 745.4966981868477], [400, 1, 2, 1, 0, 3, 0, 0, 0, 0, 1, 1, 2]) dbT_e_4_4_12_nAdd_lr2 = ([744.362529371534, 755.7359628388066, 746.4456630250194, 727.8128219790962, 741.3307191140121, 729.1578053979223, 744.5971766973022, 725.7148565263649, 743.8213084114125, 748.9175503533999, 726.696083610049, 742.7314064265371, 738.3284731380925], [400, 2, 0, 2, 1, 2, 1, 0, 0, 1, 1, 2, 0]) dbT_e_4_4_12_nAdd_lr3 = ([744.362529371534, 747.3035503315839, 743.7407739908066, 755.866735345151, 739.3867006686953, 741.3224425418985, 753.3118486393598, 743.3186737586584, 745.985791303469, 750.2431278780795, 741.7052787668947, 736.5212430230721, 742.4199820010192], [400, 1, 1, 0, 0, 2, 0, 1, 3, 1, 1, 1, 1]) dbT_e_4_4_12_nAdd_lr4 = ([744.362529371534, 747.3155809351063, 753.9429622773337, 762.2500350563183, 737.1664583248545, 736.3252308638664, 747.7545025096676, 737.182096865449, 757.0142574897948, 727.6519217053674, 742.0469550531463, 731.4460493502439, 741.0436290547485], [400, 2, 2, 1, 2, 2, 2, 1, 1, 1, 0, 2, 0]) dbT_e_4_4_12_nAdd_lr5 = ([744.362529371534, 761.2937003873393, 743.1207315861628, 741.6857907968088, 726.7845746354072, 747.1091452371761, 735.750978253336, 746.8531133849366, 744.7136848964176, 743.2531858543085, 731.3467402914561, 743.5200064721292, 742.1949162259572], [400, 0, 1, 4, 1, 3, 3, 1, 1, 2, 1, 1, 1]) dbT_e_4_4_12_nAdd_lr6 = ([744.362529371534, 736.792853306877, 744.8527451010591, 770.8050230848999, 747.7929635973163, 741.1761626568356, 730.2341626654552, 744.7054973103558, 750.1598964715098, 747.5590678949569, 747.6638660005517, 758.8339941708145, 755.351187765511], [400, 1, 2, 1, 2, 2, 1, 0, 1, 0, 1, 1, 3]) dbT_e_4_4_12_nAdd_lr7 = ([744.362529371534, 741.6584293656824, 735.8351634756349, 749.1858558764917, 735.8674746696747, 754.296733939508, 746.3376856910032, 743.3824838729595, 738.8039057123638, 751.0499080078772, 746.8624865893258, 751.9295599825062, 749.3215577543498], [400, 0, 0, 1, 0, 1, 2, 0, 1, 1, 2, 0, 0]) dbT_e_4_4_12_nAdd_lr8 = ([744.362529371534, 765.8534317147877, 741.4206122452215, 759.7019388701875, 740.8778855502336, 755.818533257255, 746.8103746167304, 745.9491478770582, 739.1140097632656, 731.5541556023315, 749.9800177087682, 739.5438040429682, 754.5627533572491], [400, 0, 1, 0, 0, 2, 1, 0, 1, 1, 1, 1, 0]) dbT_e_4_4_12_nAdd_lr9 = ([744.362529371534, 744.050319068784, 730.9451674942451, 748.9893043566825, 744.4962790805207, 742.8007617970991, 746.407279254846, 748.6251245993562, 776.9061141422958, 743.7788870952828, 735.8135838366318, 752.3361359523158, 754.546778002476], [400, 1, 0, 1, 1, 0, 0, 3, 1, 3, 0, 0, 1]) dbT_e_3_5_12_nAdd_lr0 = ([744.362529371534, 744.5211537665771, 708.6248335994586, 729.7070698488063, 750.5713719693337, 744.193818758949, 744.4219863582223, 754.5661304212281, 739.6250802037642, 745.3874109023767, 723.0064942497717, 745.2841986965027, 738.3650227092954], [400, 0, 1, 2, 0, 0, 1, 1, 1, 0, 0, 1, 0]) dbT_e_3_5_12_nAdd_lr1 = ([744.362529371534, 751.4562093963578, 744.5832107999481, 734.4484187101652, 757.5986566113647, 757.8620994896166, 768.8765000003982, 757.9039663514852, 728.8667034454232, 735.3012244929876, 747.7463598220081, 719.8776664681424, 740.258882704322], [400, 3, 3, 0, 1, 3, 0, 1, 1, 2, 0, 1, 2]) dbT_e_3_5_12_nAdd_lr2 = ([744.362529371534, 739.1291875235938, 739.0513379143085, 743.1552922502092, 739.6492962926219, 714.4521804983837, 737.4606892974191, 755.1570202318568, 744.870529809947, 738.6729775468443, 738.261821522362, 744.4346325948169, 740.7183803790757], [400, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1]) dbT_e_3_5_12_nAdd_lr3 = ([744.362529371534, 726.1527537456043, 749.1207106966168, 759.4218169727216, 766.6012641469139, 747.1970508306313, 742.1187616814547, 738.090761142452, 743.5458917026908, 732.1275844261144, 755.9601708576248, 739.2283047124704, 743.6236141442901], [400, 0, 0, 2, 2, 1, 1, 0, 1, 1, 1, 0, 0]) dbT_e_3_5_12_nAdd_lr4 = ([744.362529371534, 751.7722617138995, 744.5375001017063, 754.7052128484241, 762.7088323375472, 736.2304955861397, 743.1991689017423, 773.0365264553296, 720.8204840342041, 747.4526318918764, 751.3320750270567, 755.5881419007691, 750.8654427289337], [400, 0, 0, 1, 0, 1, 1, 1, 2, 3, 2, 0, 0]) dbT_e_3_5_12_nAdd_lr5 = ([744.362529371534, 749.2118868555729, 745.8314005938387, 744.6585736330566, 741.4951787971492, 768.4633979755707, 739.4460113908356, 762.1009708341454, 745.8152009281434, 761.8606346812043, 743.5119460074542, 741.3753886155301, 749.0433457202629], [400, 1, 2, 0, 1, 2, 1, 1, 1, 1, 0, 2, 1]) dbT_e_3_5_12_nAdd_lr6 = ([744.362529371534, 738.7957610772371, 745.8741821364155, 737.3404081252219, 742.6041508679001, 746.1312964811661, 744.4012987424562, 734.5279087398407, 751.2892868334156, 745.2955043986907, 743.136445244339, 746.9662743915683, 741.1626430679388], [400, 0, 0, 1, 0, 4, 0, 1, 1, 2, 1, 4, 0]) dbT_e_3_5_12_nAdd_lr7 = ([744.362529371534, 748.979224209338, 733.3651020285876, 739.377969702732, 745.1417795111402, 744.9123533143224, 743.2546712689021, 763.071133506836, 745.0922450892019, 750.4829049859276, 736.0077699136593, 772.2461151375344, 744.5441352191234], [400, 0, 0, 0, 3, 0, 1, 2, 1, 2, 1, 2, 2]) dbT_e_3_5_12_nAdd_lr8 = ([744.362529371534, 740.5750531050445, 736.2334268844359, 748.078641890645, 751.6246361792585, 824.5509774786574, 736.4064397289437, 744.4695424395745, 743.801231943439, 738.7339418828643, 742.0968973933808, 740.0943558372119, 729.980910281853], [400, 3, 0, 3, 3, 1, 0, 1, 0, 0, 1, 1, 0]) dbT_e_3_5_12_nAdd_lr9 = ([744.362529371534, 764.8330505775464, 734.3512528483777, 740.326674918786, 731.0655109648143, 726.923484328175, 745.2626349793272, 744.590996935454, 761.3987661339407, 732.2785605018197, 735.7508719519793, 746.697251347959, 741.0561671108775], [400, 1, 0, 0, 0, 1, 1, 2, 0, 1, 1, 1, 2]) dbT_e_2_6_12_nAdd_lr0 = ([744.362529371534, 775.5416295637185, 752.8476238161204, 745.5808709543261, 739.6334550464301, 745.1463771602631, 741.1749359253831, 734.1181786944461, 734.7932357240611, 749.6891185289825, 745.1519121674487, 745.0892570184424, 748.6212365748332], [400, 2, 2, 1, 2, 0, 2, 0, 0, 1, 2, 1, 2]) dbT_e_2_6_12_nAdd_lr1 = ([744.362529371534, 750.2658300270052, 745.2679525037121, 741.1281877550226, 739.0840065804933, 736.9216750907356, 768.5000940816476, 732.0803234875694, 744.8863340337307, 762.8853537076673, 746.6209714121312, 735.2731768895726, 750.3277859820532], [400, 0, 1, 1, 1, 3, 2, 1, 0, 2, 0, 0, 0]) dbT_e_2_6_12_nAdd_lr2 = ([744.362529371534, 745.3513942984243, 744.4784998515343, 749.2129259172301, 756.5752257831393, 743.1323170963966, 735.8897797590411, 755.8018680166354, 756.5894459926932, 741.337014992396, 751.7344123642065, 756.3987940887403, 737.7254068715924], [400, 2, 2, 0, 1, 1, 0, 1, 0, 0, 0, 1, 2]) dbT_e_2_6_12_nAdd_lr3 = ([744.362529371534, 751.2896413362961, 741.3100247708331, 747.1126758085695, 738.4479697355388, 734.0075910433997, 742.1973886574956, 743.3904399167486, 742.4638020295466, 740.2960839376605, 734.9525610747769, 742.9331848314472, 742.5759948654111], [400, 0, 1, 0, 1, 0, 1, 2, 0, 1, 0, 1, 0]) dbT_e_2_6_12_nAdd_lr4 = ([744.362529371534, 758.482940471263, 740.284812187072, 758.7047496817587, 747.1017233836337, 748.4106908032318, 749.6030279118827, 757.9393936837644, 740.322349044133, 743.02467562076, 743.8560766392233, 745.3935994086316, 739.0239505440915], [400, 0, 1, 1, 0, 2, 1, 1, 1, 1, 3, 1, 0]) dbT_e_2_6_12_nAdd_lr5 = ([744.362529371534, 732.2780431015315, 743.1352316699199, 754.9450053907324, 749.9067308345216, 738.1899236723099, 752.5167339980385, 760.3012864460894, 752.7532504290808, 744.0807859897116, 762.7013700585698, 739.82796195945, 737.6627458872216], [400, 0, 1, 3, 2, 2, 0, 2, 0, 0, 2, 1, 1]) dbT_e_2_6_12_nAdd_lr6 = ([744.362529371534, 726.3968811661983, 745.0948336320328, 734.9686997724867, 747.1906468232738, 749.2196307170884, 753.7000939210973, 739.6811943390385, 750.9321624131238, 756.1519523358966, 751.8783075471728, 744.5759023033825, 744.1857477149663], [400, 0, 1, 0, 0, 1, 0, 1, 5, 1, 1, 0, 0]) dbT_e_2_6_12_nAdd_lr7 = ([744.362529371534, 737.8685934307988, 734.1818568018879, 744.2463739708884, 748.9083723318008, 738.3255409646326, 748.1630567658734, 741.7537673846928, 732.1532235897039, 748.8310876966829, 744.6022023162774, 737.256505668856, 740.2079295160628], [400, 0, 1, 0, 1, 0, 0, 1, 1, 0, 1, 2, 0]) dbT_e_2_6_12_nAdd_lr8 = ([744.362529371534, 742.0733268127539, 749.6228018995362, 732.3818474095984, 739.3795954593907, 735.6798582857219, 741.8655701338907, 740.7188046426205, 747.2337415521582, 749.6919825214312, 724.3903004161886, 759.7018502613158, 745.0210816163918], [400, 4, 0, 1, 1, 3, 2, 1, 0, 0, 0, 0, 1]) dbT_e_2_6_12_nAdd_lr9 = ([744.362529371534, 747.5589748660541, 738.4152694993322, 746.7010725127427, 732.413636025025, 742.8342430237053, 737.545015583809, 754.5229591099433, 740.3166907013181, 731.3471258775955, 751.8395276556394, 749.393697906291, 740.5067669465311], [400, 0, 1, 1, 2, 0, 0, 3, 1, 2, 2, 0, 0]) ## ------------------------------------------------------------ ## FIGURES PLOTS ## ------------------------------------------------------------ dbPlotLoResults ([dbA_d_5_1_8_mdav_lr, dbA_d_5_2_8_mdav_lr,dbA_d_4_3_8_mdav_lr,dbA_d_4_4_8_mdav_lr,dbA_d_3_5_8_mdav_lr,dbA_d_2_6_8_mdav_lr], "mdav", [trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav], which=[0], myFileName="fig.A.mdav_lr.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbA_d_5_1_8_mdav_sv, dbA_d_5_2_8_mdav_sv,dbA_d_4_3_8_mdav_sv,dbA_d_4_4_8_mdav_sv,dbA_d_3_5_8_mdav_sv,dbA_d_2_6_8_mdav_sv], "mdav", [trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav], which=[0], myFileName="fig.A.mdav_sv.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbA_d_5_1_8_mdav_lr20m, dbA_d_5_2_8_mdav_lr20m,dbA_d_4_3_8_mdav_lr20m,dbA_d_4_4_8_mdav_lr20m,dbA_d_3_5_8_mdav_lr20m,dbA_d_2_6_8_mdav_lr20m], "mdav", [trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav], which=[0], myFileName="fig.A.mdav_lr_20m.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbA_d_5_1_8_mdav_lr20v, dbA_d_5_2_8_mdav_lr20v,dbA_d_4_3_8_mdav_lr20v,dbA_d_4_4_8_mdav_lr20v,dbA_d_3_5_8_mdav_lr20v,dbA_d_2_6_8_mdav_lr20v], "mdav", [trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav], which=[0], myFileName="fig.A.mdav_lr_20v.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) #### FIGURES PLOTS 20 executions dbPlotLoResults ([dbA_d_5_1_8_mdav_lr, dbA_d_5_2_8_mdav_lr,dbA_d_4_3_8_mdav_lr,dbA_d_4_4_8_mdav_lr,dbA_d_3_5_8_mdav_lr,dbA_d_2_6_8_mdav_lr], "mdav", [trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav], which=[0], myFileName="fig.A.mdav_lr.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbA_d_5_1_8_mdav_sv, dbA_d_5_2_8_mdav_sv,dbA_d_4_3_8_mdav_sv,dbA_d_4_4_8_mdav_sv,dbA_d_3_5_8_mdav_sv,dbA_d_2_6_8_mdav_sv], "mdav", [trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav], which=[0], myFileName="fig.A.mdav_sv.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbA_d_5_1_8_mdav_lr10, dbA_d_5_2_8_mdav_lr10,dbA_d_4_3_8_mdav_lr10,dbA_d_4_4_8_mdav_lr10,dbA_d_3_5_8_mdav_lr10,dbA_d_2_6_8_mdav_lr10], "mdav", [trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav,trAp_mdav], which=[0], myFileName="fig.A.mdav_lr_10.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) ## Range Output Tarragona: ## 840/(max(trTY) - min(trTY)) ## 0.0009120600396094646 ## Range Output Concrete: ## 1.5/(max(trOY) - min(trOY)) ## 0.018686931605830324 ### Number of reidentifications -- All methods -- O: Concrete dbPlotLoResults ([dbO_e_5_1_8_mdav_lr, dbO_e_5_2_8_mdav_lr,dbO_e_4_3_8_mdav_lr,dbO_e_4_4_8_mdav_lr,dbO_e_3_5_8_mdav_lr,dbO_e_2_6_8_mdav_lr], "mdav", [[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav], which=[1], myFileName="fig.O.mdav.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mond_lr, dbO_e_5_2_8_mond_lr,dbO_e_4_3_8_mond_lr,dbO_e_4_4_8_mond_lr,dbO_e_3_5_8_mond_lr,dbO_e_2_6_8_mond_lr], "mondrian", [[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond], which=[1], myFileName="fig.O.mond.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_nAdL_lr, dbO_e_5_2_8_nAdL_lr,dbO_e_4_3_8_nAdL_lr,dbO_e_4_4_8_nAdL_lr,dbO_e_3_5_8_nAdL_lr,dbO_e_2_6_8_nAdL_lr], "nAdL", [[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL], which=[1], myFileName="fig.O.nAdL.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_nmf_lr, dbO_e_5_2_8_nmf_lr,dbO_e_4_3_8_nmf_lr,dbO_e_4_4_8_nmf_lr,dbO_e_3_5_8_nmf_lr,dbO_e_2_6_8_nmf_lr], "NMF", [[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf], which=[1], myFileName="fig.O.nmf.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_pca_lr, dbO_e_5_2_8_pca_lr,dbO_e_4_3_8_pca_lr,dbO_e_4_4_8_pca_lr,dbO_e_3_5_8_pca_lr,dbO_e_2_6_8_pca_lr], "PCA", [[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca], which=[1], myFileName="fig.O.pca.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_svd_lr, dbO_e_5_2_8_svd_lr,dbO_e_4_3_8_svd_lr,dbO_e_4_4_8_svd_lr,dbO_e_3_5_8_svd_lr,dbO_e_2_6_8_svd_lr], "SVD", [[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd], which=[1], myFileName="fig.O.svd.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) ### Number of reidentifications -- All methods -- T: Tarragona dbPlotLoResults ([dbT_e_5_1_12_mdav_lr, dbT_e_5_2_12_mdav_lr,dbT_e_4_3_12_mdav_lr,dbT_e_4_4_12_mdav_lr,dbT_e_3_5_12_mdav_lr,dbT_e_2_6_12_mdav_lr], "mdav", [[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav], which=[1], myFileName="fig.T.mdav.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[0,450]) dbPlotLoResults ([dbT_e_5_1_12_mond_lr, dbT_e_5_2_12_mond_lr,dbT_e_4_3_12_mond_lr,dbT_e_4_4_12_mond_lr,dbT_e_3_5_12_mond_lr,dbT_e_2_6_12_mond_lr], "mondrian", [[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond], which=[1], myFileName="fig.T.mond.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[0,450]) dbPlotLoResults ([dbT_e_5_1_12_nAdd_lr, dbT_e_5_2_12_nAdd_lr,dbT_e_4_3_12_nAdd_lr,dbT_e_4_4_12_nAdd_lr,dbT_e_3_5_12_nAdd_lr,dbT_e_2_6_12_nAdd_lr], "nAdd", [[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd], which=[1], myFileName="fig.T.nAdd.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[0,450]) dbPlotLoResults ([dbT_e_5_1_12_nAdL_lr, dbT_e_5_2_12_nAdL_lr,dbT_e_4_3_12_nAdL_lr,dbT_e_4_4_12_nAdL_lr,dbT_e_3_5_12_nAdL_lr,dbT_e_2_6_12_nAdL_lr], "nAdL", [[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL], which=[1], myFileName="fig.T.nAdL.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[0,450]) dbPlotLoResults ([dbT_e_5_1_12_nmf_lr, dbT_e_5_2_12_nmf_lr,dbT_e_4_3_12_nmf_lr,dbT_e_4_4_12_nmf_lr,dbT_e_3_5_12_nmf_lr,dbT_e_2_6_12_nmf_lr], "NMF", [[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf], which=[1], myFileName="fig.T.nmf.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[0,450]) dbPlotLoResults ([dbT_e_5_1_12_pca_lr, dbT_e_5_2_12_pca_lr,dbT_e_4_3_12_pca_lr,dbT_e_4_4_12_pca_lr,dbT_e_3_5_12_pca_lr,dbT_e_2_6_12_pca_lr], "PCA", [[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca], which=[1], myFileName="fig.T.pca.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[0,450]) dbPlotLoResults ([dbT_e_5_1_12_svd_lr, dbT_e_5_2_12_svd_lr,dbT_e_4_3_12_svd_lr,dbT_e_4_4_12_svd_lr,dbT_e_3_5_12_svd_lr,dbT_e_2_6_12_svd_lr], "SVD", [[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd], which=[1], myFileName="fig.T.svd.r.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[0,450]) ## MDAV dbPlotLoResults ([dbO_e_5_1_8_mdav_lr, dbO_e_5_2_8_mdav_lr,dbO_e_4_3_8_mdav_lr,dbO_e_4_4_8_mdav_lr,dbO_e_3_5_8_mdav_lr,dbO_e_2_6_8_mdav_lr], "mdav", [[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav], which=[0], myFileName="fig.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) ## BAD: 1e13 dbPlotLoResults ([dbO_e_5_1_8_mdav_sg, dbO_e_5_2_8_mdav_sg,dbO_e_4_3_8_mdav_sg,dbO_e_4_4_8_mdav_sg,dbO_e_3_5_8_mdav_sg,dbO_e_2_6_8_mdav_sg], "mdav", [[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav], which=[0], myFileName="fig.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mdav_sv, dbO_e_5_2_8_mdav_sv,dbO_e_4_3_8_mdav_sv,dbO_e_4_4_8_mdav_sv,dbO_e_3_5_8_mdav_sv,dbO_e_2_6_8_mdav_sv], "mdav", [[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav], which=[0], myFileName="fig.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mdav_kr, dbO_e_5_2_8_mdav_kr,dbO_e_4_3_8_mdav_kr,dbO_e_4_4_8_mdav_kr,dbO_e_3_5_8_mdav_kr,dbO_e_2_6_8_mdav_kr], "mdav", [[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav], which=[0], myFileName="fig.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_d_5_1_8_mdav_lr, dbO_d_5_2_8_mdav_lr,dbO_d_4_3_8_mdav_lr,dbO_d_4_4_8_mdav_lr,dbO_d_3_5_8_mdav_lr,dbO_d_2_6_8_mdav_lr], "mdav", [trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav], which=[0], myFileName="fig.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) # BAD: 1e13 dbPlotLoResults ([dbO_d_5_1_8_mdav_sg, dbO_d_5_2_8_mdav_sg,dbO_d_4_3_8_mdav_sg,dbO_d_4_4_8_mdav_sg,dbO_d_3_5_8_mdav_sg,dbO_d_2_6_8_mdav_sg], "mdav", [trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav], which=[0], myFileName="fig.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_d_5_1_8_mdav_sv, dbO_d_5_2_8_mdav_sv,dbO_d_4_3_8_mdav_sv,dbO_d_4_4_8_mdav_sv,dbO_d_3_5_8_mdav_sv,dbO_d_2_6_8_mdav_sv], "mdav", [trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav], which=[0], myFileName="fig.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_d_5_1_8_mdav_kr, dbO_d_5_2_8_mdav_kr,dbO_d_4_3_8_mdav_kr,dbO_d_4_4_8_mdav_kr,dbO_d_3_5_8_mdav_kr,dbO_d_2_6_8_mdav_kr], "mdav", [trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav,trOp_mdav], which=[0], myFileName="fig.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mond_lr, dbO_e_5_2_8_mond_lr,dbO_e_4_3_8_mond_lr,dbO_e_4_4_8_mond_lr,dbO_e_3_5_8_mond_lr,dbO_e_2_6_8_mond_lr], "mondrian", [[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond], which=[0], myFileName="fig.O.mond.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mond_sg, dbO_e_5_2_8_mond_sg,dbO_e_4_3_8_mond_sg,dbO_e_4_4_8_mond_sg,dbO_e_3_5_8_mond_sg,dbO_e_2_6_8_mond_sg], "mondrian", [[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond], which=[0], myFileName="fig.O.mond.sg.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mond_sv, dbO_e_5_2_8_mond_sv,dbO_e_4_3_8_mond_sv,dbO_e_4_4_8_mond_sv,dbO_e_3_5_8_mond_sv,dbO_e_2_6_8_mond_sv], "mondrian", [[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond], which=[0], myFileName="fig.O.mond.sv.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mond_kr, dbO_e_5_2_8_mond_kr,dbO_e_4_3_8_mond_kr,dbO_e_4_4_8_mond_kr,dbO_e_3_5_8_mond_kr,dbO_e_2_6_8_mond_kr], "mondrian", [[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond], which=[0], myFileName="fig.O.mond.kr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_d_5_1_8_mond_lr, dbO_d_5_2_8_mond_lr,dbO_d_4_3_8_mond_lr,dbO_d_4_4_8_mond_lr,dbO_d_3_5_8_mond_lr,dbO_d_2_6_8_mond_lr], "mondrian", [trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond], which=[0], myFileName="fig.O.mond.lr.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_d_5_1_8_mond_sg, dbO_d_5_2_8_mond_sg,dbO_d_4_3_8_mond_sg,dbO_d_4_4_8_mond_sg,dbO_d_3_5_8_mond_sg,dbO_d_2_6_8_mond_sg], "mondrian", [trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond], which=[0], myFileName="fig.O.mond.sg.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_d_5_1_8_mond_sv, dbO_d_5_2_8_mond_sv,dbO_d_4_3_8_mond_sv,dbO_d_4_4_8_mond_sv,dbO_d_3_5_8_mond_sv,dbO_d_2_6_8_mond_sv], "mondrian", [trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond], which=[0], myFileName="fig.O.mond.sv.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_d_5_1_8_mond_kr, dbO_d_5_2_8_mond_kr,dbO_d_4_3_8_mond_kr,dbO_d_4_4_8_mond_kr,dbO_d_3_5_8_mond_kr,dbO_d_2_6_8_mond_kr], "mondrian", [trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond,trOp_mond], which=[0], myFileName="fig.O.mond.kr.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) #### TARRAGONA PLOTS dbPlotLoResults ([dbT_e_5_1_12_mdav_lr, dbT_e_5_2_12_mdav_lr,dbT_e_4_3_12_mdav_lr,dbT_e_4_4_12_mdav_lr,dbT_e_3_5_12_mdav_lr,dbT_e_2_6_12_mdav_lr], "mdav", [[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav,[0]+trTp_mdav], which=[0], myFileName="fig.T.mdav_lr.e.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_d_5_1_12_mdav_lr, dbT_d_5_2_12_mdav_lr,dbT_d_4_3_12_mdav_lr,dbT_d_4_4_12_mdav_lr,dbT_d_3_5_12_mdav_lr,dbT_d_2_6_12_mdav_lr], "mdav", [trTp_mdav,trTp_mdav,trTp_mdav,trTp_mdav,trTp_mdav,trTp_mdav], which=[0], myFileName="fig.T.mdav_lr.d.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_mond_lr, dbT_e_5_2_12_mond_lr,dbT_e_4_3_12_mond_lr,dbT_e_4_4_12_mond_lr,dbT_e_3_5_12_mond_lr,dbT_e_2_6_12_mond_lr], "mond", [[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond,[0]+trTp_mond], which=[0], myFileName="fig.T.mond_lr.e.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_d_5_1_12_mond_lr, dbT_d_5_2_12_mond_lr,dbT_d_4_3_12_mond_lr,dbT_d_4_4_12_mond_lr,dbT_d_3_5_12_mond_lr,dbT_d_2_6_12_mond_lr], "mond", [trTp_mond,trTp_mond,trTp_mond,trTp_mond,trTp_mond,trTp_mond], which=[0], myFileName="fig.T.mond_lr.d.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_nAdd_lr, dbT_e_5_2_12_nAdd_lr,dbT_e_4_3_12_nAdd_lr,dbT_e_4_4_12_nAdd_lr,dbT_e_3_5_12_nAdd_lr,dbT_e_2_6_12_nAdd_lr], "nAdd", [[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd], which=[0], myFileName="fig.T.nAdd_lr.e.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_d_5_1_12_nAdd_lr, dbT_d_5_2_12_nAdd_lr,dbT_d_4_3_12_nAdd_lr,dbT_d_4_4_12_nAdd_lr,dbT_d_3_5_12_nAdd_lr,dbT_d_2_6_12_nAdd_lr], "nAdd", [trTp_nAdd,trTp_nAdd,trTp_nAdd,trTp_nAdd,trTp_nAdd,trTp_nAdd], which=[0], myFileName="fig.T.nAdd_lr.d.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_nAdL_lr, dbT_e_5_2_12_nAdL_lr,dbT_e_4_3_12_nAdL_lr,dbT_e_4_4_12_nAdL_lr,dbT_e_3_5_12_nAdL_lr,dbT_e_2_6_12_nAdL_lr], "nAdL", [[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL,[0]+trTp_nAdL], which=[0], myFileName="fig.T.nAdL_lr.e.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_d_5_1_12_nAdL_lr, dbT_d_5_2_12_nAdL_lr,dbT_d_4_3_12_nAdL_lr,dbT_d_4_4_12_nAdL_lr,dbT_d_3_5_12_nAdL_lr,dbT_d_2_6_12_nAdL_lr], "nAdL", [trTp_nAdL,trTp_nAdL,trTp_nAdL,trTp_nAdL,trTp_nAdL,trTp_nAdL], which=[0], myFileName="fig.T.nAdL_lr.d.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_pca_lr, dbT_e_5_2_12_pca_lr,dbT_e_4_3_12_pca_lr,dbT_e_4_4_12_pca_lr,dbT_e_3_5_12_pca_lr,dbT_e_2_6_12_pca_lr], "pca", [[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca,[0]+trTp_pca], which=[0], myFileName="fig.T.pca_lr.e.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_d_5_1_12_pca_lr, dbT_d_5_2_12_pca_lr,dbT_d_4_3_12_pca_lr,dbT_d_4_4_12_pca_lr,dbT_d_3_5_12_pca_lr,dbT_d_2_6_12_pca_lr], "pca", [trTp_pca,trTp_pca,trTp_pca,trTp_pca,trTp_pca,trTp_pca], which=[0], myFileName="fig.T.pca_lr.d.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_svd_lr, dbT_e_5_2_12_svd_lr,dbT_e_4_3_12_svd_lr,dbT_e_4_4_12_svd_lr,dbT_e_3_5_12_svd_lr,dbT_e_2_6_12_svd_lr], "svd", [[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd,[0]+trTp_svd], which=[0], myFileName="fig.T.svd_lr.e.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_d_5_1_12_svd_lr, dbT_d_5_2_12_svd_lr,dbT_d_4_3_12_svd_lr,dbT_d_4_4_12_svd_lr,dbT_d_3_5_12_svd_lr,dbT_d_2_6_12_svd_lr], "svd", [trTp_svd,trTp_svd,trTp_svd,trTp_svd,trTp_svd,trTp_svd], which=[0], myFileName="fig.T.svd_lr.d.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_nmf_lr, dbT_e_5_2_12_nmf_lr,dbT_e_4_3_12_nmf_lr,dbT_e_4_4_12_nmf_lr,dbT_e_3_5_12_nmf_lr,dbT_e_2_6_12_nmf_lr], "nmf", [[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf,[0]+trTp_nmf], which=[0], myFileName="fig.T.nmf_lr.e.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_d_5_1_12_nmf_lr, dbT_d_5_2_12_nmf_lr,dbT_d_4_3_12_nmf_lr,dbT_d_4_4_12_nmf_lr,dbT_d_3_5_12_nmf_lr,dbT_d_2_6_12_nmf_lr], "nmf", [trTp_nmf,trTp_nmf,trTp_nmf,trTp_nmf,trTp_nmf,trTp_nmf], which=[0], myFileName="fig.T.nmf_lr.d.ecs", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_nAdd_lrX10, dbT_e_5_2_12_nAdd_lrX10,dbT_e_4_3_12_nAdd_lrX10,dbT_e_4_4_12_nAdd_lrX10,dbT_e_3_5_12_nAdd_lrX10, dbT_e_2_6_12_nAdd_lrX10], "nAdd", [[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd], which=[0], myFileName="fig.T.nAdd_lr.x10.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbT_e_5_1_12_nAdd_sd_lrX10, dbT_e_5_2_12_nAdd_sd_lrX10,dbT_e_4_3_12_nAdd_sd_lrX10,dbT_e_4_4_12_nAdd_sd_lrX10,dbT_e_3_5_12_nAdd_sd_lrX10, dbT_e_2_6_12_nAdd_sd_lrX10], "nAdd", [[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd,[0]+trTp_nAdd], which=[0], myFileName="fig.T.nAdd_lr.sd.x10.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) # fig.T.nAdd_lr.x10.e.eps # fig.T.nAdd_lr.sd.x10.e.eps #### FIGURE ???? dbPlotLoResults ([dbO_e_5_1_8_mond_lr, dbO_e_5_2_8_mond_lr,dbO_e_4_3_8_mond_lr,dbO_e_4_4_8_mond_lr,dbO_e_3_5_8_mond_lr,dbO_e_2_6_8_mond_lr], "mondrian", [[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond,[0]+trOp_mond], which=[0], myFileName="fig.O.mond.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mdav_lr, dbO_e_5_2_8_mdav_lr,dbO_e_4_3_8_mdav_lr,dbO_e_4_4_8_mdav_lr,dbO_e_3_5_8_mdav_lr,dbO_e_2_6_8_mdav_lr], "mdav", [[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav,[0]+trOp_mdav], which=[0], myFileName="fig.O.mdav.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_nAdd_lr, dbO_e_5_2_8_nAdd_lr,dbO_e_4_3_8_nAdd_lr,dbO_e_4_4_8_nAdd_lr,dbO_e_3_5_8_nAdd_lr,dbO_e_2_6_8_nAdd_lr], "nAdd", [[0]+trOp_nAdd,[0]+trOp_nAdd,[0]+trOp_nAdd,[0]+trOp_nAdd,[0]+trOp_nAdd,[0]+trOp_nAdd], which=[0], myFileName="fig.O.nAdd.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_nAdL_lr, dbO_e_5_2_8_nAdL_lr,dbO_e_4_3_8_nAdL_lr,dbO_e_4_4_8_nAdL_lr,dbO_e_3_5_8_nAdL_lr,dbO_e_2_6_8_nAdL_lr], "nAdL", [[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL,[0]+trOp_nAdL], which=[0], myFileName="fig.O.nAdL.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_pca_lr, dbO_e_5_2_8_pca_lr,dbO_e_4_3_8_pca_lr,dbO_e_4_4_8_pca_lr,dbO_e_3_5_8_pca_lr,dbO_e_2_6_8_pca_lr], "pca", [[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca,[0]+trOp_pca], which=[0], myFileName="fig.O.pca.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_nmf_lr, dbO_e_5_2_8_nmf_lr,dbO_e_4_3_8_nmf_lr,dbO_e_4_4_8_nmf_lr,dbO_e_3_5_8_nmf_lr,dbO_e_2_6_8_nmf_lr], "nmf", [[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf,[0]+trOp_nmf], which=[0], myFileName="fig.O.nmf.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_svd_lr, dbO_e_5_2_8_svd_lr,dbO_e_4_3_8_svd_lr,dbO_e_4_4_8_svd_lr,dbO_e_3_5_8_svd_lr,dbO_e_2_6_8_svd_lr], "svd", [[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd,[0]+trOp_svd], which=[0], myFileName="fig.O.svd.lr.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) fig.O.mond.lr.e.eps, fig.O.mdav.lr.e.eps, fig.O.nAdd.lr.e.eps, fig.O.nAdL.lr.e.eps, fig.O.pca.lr.e.eps, fig.O.nmf.lr.e.eps, fig.O.svd.lr.e.eps ## FIGURE 4 -- MDAV and MONDRIAN WITH LARGER PROTECTION def selectFromPair (myPair, i): return (myPair[0][0:i],myPair[1][0:i]) myL=12 dbPlotLoResults ([selectFromPair(dbO_d_5_1_8_mdavL_lr,myL), selectFromPair(dbO_d_5_2_8_mdavL_lr,myL), selectFromPair(dbO_d_4_3_8_mdavL_lr,myL)#, ## selectFromPair(dbO_d_4_4_8_mdavL_lr,myL), ## position 11: very large error here #selectFromPair(dbO_d_3_5_8_mdavL_lr,myL), ## position 12: very large error here #selectFromPair(dbO_d_2_6_8_mdavL_lr,myL) ## position 12: very large error here ], "mdav", [trOp_mdavL[0:myL],trOp_mdavL[0:myL],trOp_mdavL[0:myL] ##, ## trOp_mdavL[0:myL], ##trOp_mdavL[0:myL],trOp_mdavL[0:myL] ], which=[0], myFileName="fig.O.mdavL.d.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[]) myL=11 dbPlotLoResults ([selectFromPair(dbO_d_5_1_8_mondL_lr,myL) , ## position 12: very large error here selectFromPair(dbO_d_5_2_8_mondL_lr,myL) , ## position 11: about 35 selectFromPair(dbO_d_4_3_8_mondL_lr,myL) , ## position 12: very large error here selectFromPair(dbO_d_4_4_8_mondL_lr,myL) , ## position 12: very large error here selectFromPair(dbO_d_3_5_8_mondL_lr,myL) , ## position 12: very large error here selectFromPair(dbO_d_2_6_8_mondL_lr,myL) ## position 12: very large error here ], "mondrian", [trOp_mondL[0:myL], trOp_mondL[0:myL], trOp_mondL[0:myL], trOp_mondL[0:myL], trOp_mondL[0:myL],trOp_mondL[0:myL] ], which=[0], myFileName="fig.O.mondL.d.eps", whichCurves=[], wLeg=["1", "2", "3","4","5","6"], pltYLim=[]) dbPlotLoResults ([dbO_e_5_1_8_mdavL_lr, dbO_e_5_2_8_mdavL_lr,dbO_e_4_3_8_mdavL_lr,dbO_e_4_4_8_mdavL_lr,dbO_e_3_5_8_mdavL_lr,dbO_e_2_6_8_mdavL_lr], "mdav", [[0]+trOp_mdavL,[0]+trOp_mdavL,[0]+trOp_mdavL,[0]+trOp_mdavL,[0]+trOp_mdavL,[0]+trOp_mdavL], which=[0], myFileName="fig.O.mdavL.e.eps", whichCurves=[], wLeg=["1","2","3","4","5","6"], pltYLim=[])