8963405 1 Jan van Rijn 9954 Supervised Classification 8330 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(2) 6899002 axis 0 7104 categorical_features [] 7104 copy true 7104 fill_empty 0 7104 missing_values "NaN" 7104 strategy "median" 7104 strategy_nominal "most_frequent" 7104 verbose 0 7104 categorical_features [] 7105 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7105 handle_unknown "ignore" 7105 n_values "auto" 7105 sparse true 7105 threshold 0.0 7106 C 0.1311241355733757 7107 cache_size 200 7107 class_weight null 7107 coef0 -0.25157386089878875 7107 decision_function_shape null 7107 degree 3 7107 gamma 0.001996085854802938 7107 kernel "rbf" 7107 max_iter -1 7107 probability true 7107 random_state 47856 7107 shrinking true 7107 tol 5.568335140113315e-05 7107 verbose false 7107 copy true 7713 with_mean false 7713 with_std true 7713 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18842018 description https://api.openml.org/data/download/18842018/description.xml -1 18842019 predictions https://api.openml.org/data/download/18842019/predictions.arff area_under_roc_curve 0.36042929292929293 [0.340002,0.39682,0.036537,0.993884,0.049676,0.811553,0.05015,0.256234,0.773556,0.964804,0.244437,0.19693,0.118845,0.21366,0.784288,0.341659,0.335622,0.361742,0.354127,0.376854,0.300939,0.167298,0.34596,0.78776,0.302083,0.31175,0.365609,0.309383,0.3067,0.249724,0.395557,0.109493,0.342014,0.363202,0.320786,0.414023,0.375947,0.376539,0.816801,0.198903,0.329743,0.286577,0.014086,0.311435,0.958925,0.333807,0.929017,0.18608,0.309028,0.314907,0.326665,0.283973,0.310014,0.325836,0.308988,0.381037,0.999527,0.305832,0.285906,0.325521,0.332071,0.337358,0.166903,0.305279,0.302202,0.339291,0.398122,0.247514,0.313486,0.322443,0.343789,0.273082,0.376539,0.27833,0.340357,0.308791,0.299203,0.362847,0.120462,0.065499,0.324811,0.124171,0.324455,0.299282,0.319681,0.308554,0.283815,0.306068,0.317393,0.388731,0.376184,0.94764,0.321575,0.347459,0.312973,0.332386,0.360204,0.489741,0.386009,0.349471] average_cost 0 kappa 0.017045454545454548 kb_relative_information_score 14.234423398811431 mean_absolute_error 0.01979824613443207 mean_prior_absolute_error 0.019800000000000036 number_of_instances 1600 [16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16] predictive_accuracy 0.026875 prior_entropy 6.6438561897747395 recall 0.026875 [0,0,0,1,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.125,0,0.125,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.1875,0,0,0,0,0,0,0,0] relative_absolute_error 0.9999114209309109 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09950088789975858 root_relative_squared_error 1.0000215499112504 total_cost 0 area_under_roc_curve 0.16277789387787586 [0.157233,0.091772,0,1,0.003165,0.836478,0.003165,0.748428,0.642405,1,0.018987,0.015823,0.056962,0.056962,0.325949,0.163522,0.300633,0.056962,0.123418,0.377358,0.534591,0,0.207547,0.968553,0.251572,0.037975,0.041139,0,0.003165,0.025157,0.177215,0,0.06962,0.231013,0.015823,0.72327,0.295597,0.289308,0.855346,0.155063,0.113208,0.062893,0,0.012658,1,0.088608,1,0.496855,0.012658,0.063291,0.050633,0,0,0.028481,0.012579,0.27673,1,0,0.012579,0.050633,0.238994,0,0.015823,0.006329,0.018868,0.03481,0.098101,0.515723,0,0.314465,0.075949,1,0.018987,0.025316,0.006289,0,0.003165,0.101266,0,0.006329,0.006329,0.003165,0.113208,0.075472,0.03481,0.012658,0.012658,0.003165,0.072785,0.72327,0.03481,1,0,0.031646,0.018987,0.018987,0.264151,0.06962,0.094937,0.295597] area_under_roc_curve 0.161765086378473 [0.050314,0.012658,0,1,0,0.918239,0,0.698113,0.756329,1,0.012658,0.009494,0.028481,0.18038,0.484177,0.062893,0.262658,0.050633,0.053797,0.327044,0.301887,0.031447,0.238994,0.981132,0.207547,0.072785,0.123418,0,0.006329,0,0.237342,0,0.056962,0.10443,0.037975,0.679245,0.371069,0.339623,0.899371,0.066456,0.106918,0.044025,0,0.03481,1,0.037975,0.968553,0.459119,0.006329,0.022152,0.025316,0.031646,0.006289,0.018987,0,0.264151,1,0,0.044025,0.066456,0.226415,0.069182,0.006329,0.009494,0,0.018987,0.107595,0.610063,0.125786,0.031447,0.041139,1,0.03481,0.018987,0,0,0.006329,0.056962,0.006329,0,0.025316,0.015823,0.075472,0.150943,0.028481,0,0,0.006329,0.031646,0.685535,0.041139,1,0.009494,0.117089,0.015823,0.022152,0.119497,0.126582,0.10443,0.484277] area_under_roc_curve 0.17126224026749454 [0.044304,0.018987,0,0.993711,0.006329,0.787975,0.503145,0.003165,0.623418,1,0.003165,0.006329,0.006289,0.006329,0.952532,0.028481,0.243671,0.170886,0.320755,0.03481,0.421384,0.031447,0.06962,0.968553,0.201258,0.063291,0.101266,0.025157,0.003165,0.003165,0.383648,0,0.066456,0.259494,0.106918,0.647799,0.408805,0.339623,0.955975,0.177215,0.053797,0.150943,0.062893,0.006289,0.984177,0.075472,1,0.72327,0.015823,0.006329,0.012658,0,0.012579,0.012658,0,0.050633,1,0,0.075472,0.03481,0.251572,0.031447,0,0.075472,0.003165,0.053797,0.088608,0,0.018868,0.041139,0.028481,0.006329,0.226415,0.009494,0.031447,0.003165,0,0.012658,0.015823,0.003165,0.025157,0.015823,0.012658,0.037975,0.006289,0,1,0,0.041139,0.748428,0.110759,1,0.119497,0.041139,0.025316,0.176101,0.025316,0.009494,0.358491,0.025316] area_under_roc_curve 0.1718695267096568 [0.110759,0.018987,0.006329,0.993711,0.003165,0.825949,0.345912,0,0.791139,1,0.012658,0.009494,0.044025,0.047468,0.882911,0.047468,0.221519,0.091772,0.465409,0.10443,0.27673,0,0.025316,0.968553,0.257862,0.085443,0.031646,0.012579,0,0,0.327044,0,0.060127,0.193038,0.081761,0.622642,0.389937,0.327044,0.968553,0.044304,0.009494,0.018868,0.08805,0.006289,0.990506,0.056604,1,0.616352,0,0.003165,0.006329,0,0.006289,0.082278,0,0.088608,1,0,0.056604,0.03481,0.213836,0.012579,0.006329,0.018868,0.003165,0.012658,0.110759,0.079114,0,0.079114,0.117089,0.003165,0.446541,0.012658,0.018868,0,0.003165,0.110759,0.003165,0,0.056604,0.018987,0.018987,0.022152,0.006289,0,1,0.003165,0,0.685535,0.041139,1,0.27044,0.015823,0.006329,0.257862,0.126582,0.050633,0.220126,0.006329] area_under_roc_curve 0.18305121009473763 [0.031646,0.855346,0,0.993671,0.006289,0.851266,0.025157,0.015823,0.955975,1,0.003165,0,0.056604,0.100629,0.981132,0.088608,0.234177,0.03481,0.314465,0.06962,0.063291,0.015823,0.018987,0.781646,0.022152,0.072785,0.094937,0,0.006289,0.006329,0.440252,0.327044,0.10443,0.272152,0.119497,0.253165,0.129747,0.113924,0.832278,0.113924,0.028481,0.003165,0.075472,0.031447,0.993711,0.09434,1,0.006329,0,0.015823,0.056604,0.069182,0.003165,0.006289,0.003165,0.041139,1,0.009494,0.031646,0.025157,0.031646,0.044304,0.987421,0,0.003165,0.006329,0.257862,0.009494,0.018987,0.012658,0.050633,0,0.283019,0.037736,0.167722,0.006289,0.015823,0.063291,0,0.069182,0.062893,0,0.003165,0.037975,0.069182,0.050314,1,0.012579,0.006329,0.006329,0.440252,0.987342,0.09434,0.08805,0.060127,0.100629,0.018987,0.974843,0.389937,0.006329] area_under_roc_curve 0.19180374771116943 [0.199367,0.830189,0.003165,1,0,0.879747,0.132075,0.015823,0.974843,1,0,0.003165,0.069182,0.018868,0.981132,0.03481,0.224684,0.072785,0.295597,0.136076,0.136076,0.056962,0.03481,0.696203,0.025316,0.082278,0.044304,0.056604,0,0,0.408805,0.704403,0.044304,0.14557,0.09434,0.322785,0.094937,0.132911,0.870253,0.06962,0.056962,0.006329,0.08805,0.025157,0.993711,0.050314,1,0.028481,0.022152,0.006329,0.062893,0.006289,0.015823,0.050314,0.022152,0.091772,1,0,0.031646,0.069182,0.041139,0.06962,0.974843,0,0,0.041139,0.232704,0,0.012658,0.025316,0.063291,0.006329,0.396226,0,0.044304,0.012579,0,0.14557,0,0.169811,0.119497,0,0.006329,0.044304,0.018868,0,1,0.006289,0.037975,0.012658,0.496855,0.996835,0.188679,0.006289,0.015823,0.025157,0.053797,0.968553,0.672956,0.018987] area_under_roc_curve 0.1975529416447735 [0.041139,0.792453,0,1,0,0.702532,0.009494,0.015823,0.924528,1,0.698113,0.163522,0.037975,0.006289,1,0.136076,0.484277,0.396226,0.025316,0.126582,0.041139,0.006329,0.066456,0.768987,0.006329,0.440252,0.220126,0.028481,0,0.006329,0.224684,0.930818,0.09434,0.572327,0.009494,0.297468,0.085443,0.088608,0.803797,0.327044,0,0.012658,0,0.012658,0.943396,0.012658,0.996835,0.028481,0.025157,0.012579,0.18239,0,0.012658,0.037736,0.028481,0.060127,1,0.003165,0.03481,0.012579,0,0.107595,0.962264,0.003165,0.003165,0.283019,0.358491,0.066456,0.018987,0,0.132075,0,0.037975,0.012579,0.022152,0,0,0.301887,0.037736,0.081761,0.088608,0.955975,0.015823,0.018987,0.018987,0,0,0.006289,0.050314,0.031646,0.371069,1,0.009494,0.081761,0.012579,0.012658,0.088608,0.949686,0.091772,0.006329] area_under_roc_curve 0.19699093424090428 [0.006329,0.811321,0,1,0,0.718354,0.009494,0.003165,0.943396,1,0.805031,0.169811,0.028481,0,0.987421,0.094937,0.421384,0.459119,0.066456,0.03481,0.075949,0.015823,0.015823,0.734177,0.028481,0.36478,0.27673,0.009494,0.144654,0.009494,0.167722,0.484277,0.069182,0.528302,0.025316,0.237342,0.117089,0.088608,0.740506,0.327044,0.085443,0.003165,0,0.009494,0.987421,0.082278,1,0.015823,0.012579,0.125786,0.327044,0.018987,0.028481,0,0.003165,0.088608,1,0,0.037975,0.09434,0.006329,0.094937,0.974843,0,0,0.232704,0.591195,0.091772,0.009494,0.006329,0.125786,0,0.031646,0.050314,0.053797,0.006289,0,0.132075,0.044025,0.012579,0.047468,0.974843,0.03481,0.025316,0.031646,0.015823,0,0,0.09434,0.015823,0.477987,1,0,0.006289,0.018868,0.018987,0.037975,0.987421,0.060127,0.041139] area_under_roc_curve 0.18543980375766245 [0.025157,0.161392,0,0.996835,0,0.937107,0.003165,0.704403,0.781646,1,0.792453,0.257862,0.009494,0.022152,0.620253,0.044025,0.433962,0.320755,0.018987,0.333333,0.025316,0.003165,0.339623,0.781646,0,0.27673,0.27044,0,0,0,0.170886,0,0.037736,0.540881,0.006329,0.227848,0.050633,0.060127,0.844937,0.477987,0.031447,0,0,0.025316,0.981013,0.082278,0.867925,0.018987,0.018868,0.031447,0.056962,0.003165,0.006329,0.079114,0.028481,0.597484,1,0.018868,0.015823,0.015823,0.028481,0.056962,0,0.003165,0.006289,0.226415,0.107595,0.805031,0.006329,0.044025,0.056604,0.987421,0.113924,0.003165,0.031646,0.015823,0,0.031447,0.044025,0.003165,0.015823,0.962264,0.100629,0.025157,0.015823,0.006329,0,0.006329,0,0.028481,0.047468,1,0.006329,0.047468,0.025157,0.056962,0.062893,0,0.094937,0.345912] area_under_roc_curve 0.18780152854072127 [0.031447,0.231013,0,1,0,0.861635,0,0.672956,0.737342,1,0.660377,0.213836,0.025316,0.022152,0.768987,0.044025,0.566038,0.220126,0.056962,0.314465,0.174051,0.025316,0.169811,0.740506,0.012658,0.238994,0.257862,0.012658,0.003165,0.006289,0.170886,0,0.08805,0.433962,0.012658,0.31962,0.037975,0.060127,0.886076,0.327044,0.025157,0.006329,0,0.015823,0.993671,0.012658,0.855346,0.022152,0.012579,0.012579,0.009494,0,0.009494,0.041139,0.003165,0.36478,1,0,0.03481,0.041139,0.006329,0.037975,0.015823,0.006329,0.012579,0.257862,0.075949,0.754717,0,0.025157,0.069182,1,0.022152,0.041139,0.085443,0.025316,0,0.163522,0.018868,0,0.009494,0.987421,0.157233,0.006289,0.015823,0.012658,0,0.018987,0,0.015823,0.060127,0.996835,0,0.066456,0,0.028481,0.283019,0.199367,0.107595,0.264151] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 kappa 0.026740925070110992 kappa 0.02654867256637168 kappa 0.0075069142631371 kappa 0.0009484666455896309 kappa 0.00695762175838077 kappa 0.006761298485627299 kappa 0.01945279139648901 kappa 0.019375247133254253 kappa 0.019181332806011468 kappa 0.019258907739154507 kb_relative_information_score 1.4560022806036195 kb_relative_information_score 1.476077292376312 kb_relative_information_score 1.341574786487938 kb_relative_information_score 1.3397116827067226 kb_relative_information_score 1.41313074466547 kb_relative_information_score 1.39527936212674 kb_relative_information_score 1.4428876836616196 kb_relative_information_score 1.4817075067253358 kb_relative_information_score 1.4229997642643775 kb_relative_information_score 1.4650522951933038 mean_absolute_error 0.019798542023747943 mean_absolute_error 0.019798696451342836 mean_absolute_error 0.01979866033336441 mean_absolute_error 0.01979856039547216 mean_absolute_error 0.01979762426439923 mean_absolute_error 0.019797869919906806 mean_absolute_error 0.019798170415340037 mean_absolute_error 0.019797504686346522 mean_absolute_error 0.01979872312937586 mean_absolute_error 0.019798109725025444 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 mean_prior_absolute_error 0.019800000000000033 number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [1,2,2,1,2,1,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,1,1,1,2,2,2,2,1,2,2,2,2,2,1,1,1,1,2,1,1,2,2,2,2,1,1,2,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,1,2,2,1,1,1,2,1,2,2,1,2,2,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,1,2,2,1] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,2,2,1,2,2,1,2,2,2,2,2,1,2,2,2,2,2,1,2,1,1,2,1,1,2,2,1,2,2,1,2,2,2,1,1,1,1,1,2,2,1,1,1,2,1,2,1,2,2,2,1,1,2,1,2,1,2,1,2,1,1,2,1,2,2,2,2,1,2,2,2,1,2,1,2,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,1,1,2,2,1,2,2,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,2,2,1,2,1,2,1,2,2,2,1,1,1,2,2,2,1,2,2,2,2,2,2,2,2,1,1,2,1,1,2,2,1,2,2,2,2,2,2,2,1,1,1,1,2,2,2,2,1,1,2,1,2,2,1,2,2,1,2,2,1,1,2,2,1,2,2,2,2,2,1,1,2,1,2,2,2,1,1,2,2,2,1,1,1,1,2,2,1,2,1,1,2,1,2,1,1,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [2,1,1,2,1,2,2,2,1,2,1,1,2,1,1,2,1,1,2,2,2,2,2,2,2,1,1,2,1,2,2,1,1,1,2,2,2,2,2,1,2,2,2,2,1,2,2,2,1,1,1,2,2,1,2,2,2,2,2,1,2,2,1,2,2,1,1,2,2,2,1,2,2,1,2,1,1,1,1,1,2,1,2,2,2,2,2,1,1,2,1,2,2,1,1,2,2,1,2,2] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] number_of_instances 160 [1,2,1,2,2,1,2,1,2,1,1,1,2,2,2,1,1,1,2,1,2,2,1,2,2,1,1,2,2,1,2,2,1,1,2,2,2,2,2,1,1,2,2,2,2,2,1,2,1,1,2,2,2,2,2,1,2,1,2,2,2,2,2,2,1,1,2,1,2,1,1,1,2,2,2,2,1,1,1,2,2,1,1,1,2,2,2,2,1,2,2,2,2,2,1,2,1,2,2,1] predictive_accuracy 0.0375 predictive_accuracy 0.0375 predictive_accuracy 0.01875 predictive_accuracy 0.0125 predictive_accuracy 0.01875 predictive_accuracy 0.01875 predictive_accuracy 0.03125 predictive_accuracy 0.03125 predictive_accuracy 0.03125 predictive_accuracy 0.03125 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 prior_entropy 6.6438561897747395 recall 0.0375 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.0375 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.01875 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0] recall 0.0125 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.01875 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.01875 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.03125 [0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9999263648357529 relative_absolute_error 0.9999341642092325 relative_absolute_error 0.999932340068908 relative_absolute_error 0.9999272927006126 relative_absolute_error 0.999880013353495 relative_absolute_error 0.9998924201973118 relative_absolute_error 0.9999075967343437 relative_absolute_error 0.9998739740579035 relative_absolute_error 0.9999355115846378 relative_absolute_error 0.9999045315669399 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_prior_squared_error 0.09949874371066206 root_mean_squared_error 0.0995027632408138 root_mean_squared_error 0.09950344197489244 root_mean_squared_error 0.09950288851411543 root_mean_squared_error 0.09950221408670966 root_mean_squared_error 0.09949763413825247 root_mean_squared_error 0.09949855636793893 root_mean_squared_error 0.09950055113553287 root_mean_squared_error 0.09949720820845304 root_mean_squared_error 0.0995034042228075 root_mean_squared_error 0.09950021684545758 root_relative_squared_error 1.0000403977980208 root_relative_squared_error 1.000047219332176 root_relative_squared_error 1.0000416568420745 root_relative_squared_error 1.0000348785916102 root_relative_squared_error 0.999988848377696 root_relative_squared_error 0.9999981171347885 root_relative_squared_error 1.0000181653034341 root_relative_squared_error 0.9999845676221452 root_relative_squared_error 1.0000468399094464 root_relative_squared_error 1.0000148055617648 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 2913.3651090005515 usercpu_time_millis 2755.780890999631 usercpu_time_millis 2753.155200999572 usercpu_time_millis 2756.1318230000325 usercpu_time_millis 2754.5659590005016 usercpu_time_millis 2789.013020999846 usercpu_time_millis 2856.880941999407 usercpu_time_millis 2765.4607560007207 usercpu_time_millis 2769.5143699993423 usercpu_time_millis 2774.1138480005247 usercpu_time_millis_testing 162.99020899987227 usercpu_time_millis_testing 165.3679769997325 usercpu_time_millis_testing 163.71994800010725 usercpu_time_millis_testing 169.59055799998168 usercpu_time_millis_testing 160.75645300043107 usercpu_time_millis_testing 166.9207329996425 usercpu_time_millis_testing 162.45718299978762 usercpu_time_millis_testing 162.43969700008165 usercpu_time_millis_testing 161.98806299962598 usercpu_time_millis_testing 161.8426630002432 usercpu_time_millis_training 2750.374900000679 usercpu_time_millis_training 2590.4129139998986 usercpu_time_millis_training 2589.435252999465 usercpu_time_millis_training 2586.5412650000508 usercpu_time_millis_training 2593.8095060000705 usercpu_time_millis_training 2622.0922880002036 usercpu_time_millis_training 2694.423758999619 usercpu_time_millis_training 2603.021059000639 usercpu_time_millis_training 2607.5263069997163 usercpu_time_millis_training 2612.2711850002815