6141700 1 Jan van Rijn 9954 Supervised Classification 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 4175039 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 C 2.9034609435146868 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.2894898315122907 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.14774974465376842 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 49526 6953 shrinking true 6953 tol 0.0005671855540305857 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 13214291 description https://api.openml.org/data/download/13214291/description.xml -1 13214294 predictions https://api.openml.org/data/download/13214294/predictions.arff area_under_roc_curve 0.3357654671717172 [0.38735,0.321496,0.312618,0.301965,0.308594,0.311435,0.306463,0.314354,0.312382,0.64098,0.316012,0.318734,0.336332,0.373777,0.32848,0.396741,0.321733,0.347814,0.341659,0.363873,0.326468,0.35322,0.365254,0.3125,0.325205,0.328401,0.382655,0.34008,0.340593,0.316367,0.335543,0.302241,0.361585,0.238045,0.346354,0.052281,0.328598,0.342487,0.306187,0.302399,0.427083,0.347498,0.301136,0.320825,0.30599,0.388494,0.302912,0.332347,0.360361,0.329309,0.359612,0.315104,0.337437,0.352549,0.321181,0.329506,0.256353,0.317827,0.320036,0.341264,0.309935,0.351562,0.308554,0.336174,0.307371,0.352865,0.374803,0.303504,0.344736,0.424045,0.383957,0.302754,0.36194,0.343789,0.36044,0.328993,0.326981,0.410314,0.325994,0.32197,0.35393,0.312027,0.338187,0.314354,0.371804,0.320312,0.303149,0.331321,0.351168,0.3561,0.341027,0.303741,0.306266,0.35756,0.341461,0.325718,0.357047,0.318103,0.395873,0.360638] average_cost 0 kappa -0.007575757575757576 kb_relative_information_score 18.92659674664914 mean_absolute_error 0.019802790512657792 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 0.0025 prior_entropy 6.6438561897747395 recall 0.0025 [0,0,0,0,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 1.0001409349827148 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09953402381054616 root_relative_squared_error 1.0003545783450962 total_cost 0 area_under_roc_curve 0.060533844837194484 [0.283019,0.031646,0.003165,0,0,0,0.009494,0.006289,0.006329,1,0.031646,0.041139,0.075949,0.085443,0.015823,0.201258,0.053797,0.063291,0.107595,0.119497,0.100629,0.012579,0.106918,0.012579,0,0.025316,0.117089,0.066456,0.003165,0.012579,0.072785,0,0.113924,0.022152,0.041139,0.754717,0.031447,0.08805,0,0.003165,0.100629,0.018868,0,0.012658,0,0.164557,0.006289,0.025157,0.015823,0.037975,0.082278,0.015823,0.025157,0.129747,0.025157,0.025157,0,0,0.012579,0.075949,0.012579,0.031447,0.006329,0.009494,0.006289,0.025316,0.123418,0,0.006289,0.295597,0.155063,0,0.079114,0.047468,0,0.009494,0.006329,0.170886,0,0.031646,0.113924,0.012658,0.018868,0.031447,0.120253,0.031646,0.009494,0.006329,0.139241,0.106918,0.053797,0.006289,0.003165,0.110759,0.012658,0.018987,0.169811,0.047468,0.120253,0.050314] area_under_roc_curve 0.05835970464135023 [0.238994,0.003165,0.003165,0,0,0.012579,0.006329,0,0.009494,1,0.025316,0.015823,0.031646,0.259494,0.003165,0.144654,0.053797,0.044304,0.053797,0.125786,0.044025,0.075472,0.176101,0.012579,0.025157,0.056962,0.151899,0.003165,0.022152,0,0.037975,0,0.088608,0.006329,0.025316,0.704403,0.037736,0.100629,0.006289,0,0.132075,0.006289,0,0.044304,0,0.117089,0,0.018868,0.009494,0.025316,0.056962,0.047468,0.012579,0.056962,0.018868,0,0,0,0.044025,0.107595,0.006289,0.119497,0.012658,0.031646,0,0.031646,0.136076,0,0.163522,0.106918,0.142405,0,0.079114,0.050633,0.012579,0.018987,0.018987,0.183544,0.006329,0,0.060127,0.028481,0.012579,0.044025,0.10443,0.012658,0.003165,0.009494,0.050633,0.050314,0.03481,0.006289,0.012658,0.174051,0.012658,0.031646,0.119497,0.037975,0.183544,0.08805] area_under_roc_curve 0.04281481370909962 [0.107595,0.015823,0.003165,0,0.003165,0.009494,0.031447,0.050633,0.022152,0.003165,0.012658,0.015823,0.012579,0.031646,0.079114,0.129747,0.012658,0.110759,0.062893,0.047468,0.113208,0.050314,0.231013,0.012579,0.031447,0.041139,0.136076,0.056604,0.006329,0.022152,0.062893,0,0.113924,0.012658,0.044025,0.081761,0.050314,0.144654,0.006289,0.006329,0.167722,0.025157,0,0.006289,0.006329,0.132075,0,0.069182,0.018987,0.009494,0.047468,0,0.006289,0.006329,0.012579,0.031646,0,0.003165,0.075472,0.060127,0.006289,0.062893,0.003165,0.062893,0.006329,0.031646,0.126582,0,0.012579,0.063291,0.088608,0.006329,0.012579,0.025316,0.044025,0.009494,0.012658,0.050633,0.028481,0.044304,0.025157,0.025316,0.006329,0.031646,0.081761,0.031447,0,0.022152,0.098101,0.081761,0.082278,0,0,0.075949,0.041139,0.050314,0.050633,0.022152,0.081761,0.075949] area_under_roc_curve 0.0577223151023008 [0.208861,0.025316,0,0,0.009494,0.031646,0.012579,0.015823,0.022152,0.822785,0.018987,0.022152,0.050314,0.098101,0.025316,0.123418,0.012658,0.082278,0.150943,0.091772,0.025157,0.012579,0.072785,0.006289,0.025157,0.047468,0.183544,0.062893,0.006329,0.015823,0.025157,0,0.094937,0.006329,0.031447,0.157233,0.044025,0.119497,0,0,0.098101,0,0,0.006289,0.003165,0.08805,0.006329,0.025157,0.003165,0.006329,0.025316,0.006289,0.012579,0.177215,0.012579,0.075949,0,0.003165,0.037736,0.031646,0.018868,0.031447,0.009494,0.025157,0.009494,0.025316,0.101266,0.012658,0,0.170886,0.155063,0.006329,0.132075,0.044304,0.044025,0.009494,0.006329,0.14557,0,0.053797,0.106918,0.03481,0.009494,0.015823,0.006289,0.025157,0,0.037975,0.047468,0.08805,0.107595,0,0.018868,0.075949,0.018987,0.062893,0.123418,0.025316,0.308176,0.012658] area_under_roc_curve 0.06020644256030576 [0.136076,0.018868,0.012658,0,0.018868,0.003165,0,0.044304,0.025157,1,0.025316,0.015823,0.056604,0.201258,0.012579,0.205696,0.015823,0.063291,0.069182,0.132911,0.025316,0.079114,0,0.006329,0.085443,0.041139,0.174051,0,0.018868,0.031646,0.037736,0,0.164557,0.018987,0.062893,0,0.072785,0.098101,0,0,0.196203,0,0,0.018868,0,0.27044,0,0.018987,0,0.006329,0.031447,0.037736,0.006329,0.012579,0.009494,0.015823,0,0.025316,0.028481,0.044025,0,0.063291,0.012579,0,0.006329,0.022152,0.119497,0,0.041139,0.066456,0.120253,0,0.031447,0.018868,0.151899,0.018868,0.022152,0.129747,0.012658,0.056604,0.037736,0.012658,0.006329,0.037975,0.157233,0.031447,0.018868,0.031447,0.03481,0.056962,0.132075,0.009494,0,0.09434,0.06962,0.050314,0.041139,0,0.232704,0.161392] area_under_roc_curve 0.06224325292572245 [0.297468,0,0.031646,0,0,0.028481,0.006289,0.012658,0,0.939873,0.018987,0.025316,0.056604,0.037736,0.025157,0.189873,0.031646,0.098101,0.08805,0.14557,0.031646,0.094937,0.009494,0.003165,0.066456,0.047468,0.189873,0.056604,0.006289,0.018987,0.025157,0,0.091772,0.009494,0.031447,0.003165,0.053797,0.082278,0.006329,0,0.212025,0.012658,0,0.025157,0.006289,0.144654,0,0.056962,0.018987,0.012658,0.018868,0.006289,0.047468,0.056604,0.047468,0.047468,0,0.003165,0.031646,0.031447,0.018987,0.088608,0.012579,0.006289,0,0.047468,0.132075,0,0.015823,0.063291,0.142405,0.006329,0.075472,0.037736,0.060127,0.037736,0.012658,0.253165,0.003165,0.069182,0.044025,0,0.003165,0.041139,0.106918,0.006289,0,0.012579,0.072785,0.056962,0.044025,0.006329,0.006289,0.044025,0.037975,0.012579,0.129747,0.018868,0.201258,0.155063] area_under_roc_curve 0.04798309250855825 [0.098101,0.044025,0,0,0,0.003165,0.006329,0.031646,0.006289,0,0.012579,0,0.056962,0.012579,0,0.227848,0.037736,0.100629,0.047468,0.14557,0.022152,0.031646,0.041139,0.018987,0.022152,0.144654,0.081761,0.117089,0,0.009494,0.088608,0.006289,0.106918,0.031447,0.022152,0,0.044304,0.075949,0.003165,0,0.227848,0,0,0.012658,0.075472,0.06962,0.009494,0.079114,0.012579,0.012579,0.09434,0.012658,0.03481,0.075472,0.060127,0.060127,0,0.006329,0.03481,0.012579,0.025316,0.142405,0.012579,0,0.012658,0.08805,0.132075,0.006329,0.044304,0.03481,0.113208,0,0.075949,0.081761,0.044304,0.012579,0,0.257862,0.025157,0.025157,0.148734,0.018868,0.012658,0.015823,0.063291,0.012658,0,0.031447,0.050314,0.075949,0.044025,0,0.012658,0.144654,0.031447,0.018987,0.132911,0.050314,0.158228,0.085443] area_under_roc_curve 0.04861699904466209 [0.060127,0.031447,0,0,0,0.006329,0.006329,0.015823,0.018868,0.240506,0.050314,0,0.053797,0.006289,0.056604,0.155063,0.025157,0.150943,0.06962,0.079114,0.028481,0.028481,0.158228,0.012658,0.025316,0.044025,0.132075,0.056962,0.125786,0.012658,0.06962,0,0.08805,0.012579,0.018987,0,0.056962,0.094937,0.003165,0,0.18038,0.003165,0,0.022152,0.018868,0.136076,0,0.050633,0.012579,0.037736,0.27673,0.037975,0.063291,0.044025,0.018987,0.047468,0,0,0.044304,0.062893,0.009494,0.123418,0.012579,0.006329,0.003165,0.075472,0.188679,0,0.037975,0.022152,0.119497,0,0.085443,0.018868,0.044304,0.012579,0,0.031447,0,0.037736,0.091772,0.018868,0.012658,0.022152,0.06962,0.03481,0,0.025157,0.075472,0.079114,0.037736,0,0.003165,0.044025,0.025157,0.028481,0.072785,0.044025,0.148734,0.155063] area_under_roc_curve 0.049088199586020245 [0.037736,0.03481,0.012579,0,0,0.025157,0.012658,0,0.018987,1,0.025157,0.006289,0.015823,0.056962,0.018987,0.138365,0.006289,0.09434,0.060127,0.119497,0.015823,0.018987,0.119497,0.015823,0.047468,0.018868,0.132075,0.028481,0.003165,0.012579,0.063291,0,0.075472,0.012579,0.012658,0,0.047468,0.041139,0.006329,0,0.264151,0,0,0.031646,0.012658,0.224684,0,0.031646,0.025157,0.018868,0.075949,0.009494,0.009494,0.126582,0.050633,0.125786,0,0.044025,0.012658,0.028481,0.012658,0.094937,0.003165,0.009494,0.006289,0.018868,0.14557,0,0.018987,0.119497,0.050314,0.006289,0.158228,0.022152,0.031646,0.044304,0.006289,0.119497,0.018868,0.047468,0.110759,0.037736,0.012579,0.018868,0.028481,0.009494,0,0.022152,0.113208,0.088608,0.072785,0.009494,0.006329,0.091772,0.025157,0.085443,0.081761,0.006329,0.148734,0.100629] area_under_roc_curve 0.048342836955656415 [0.106918,0.053797,0,0,0,0,0.006329,0,0.018987,1,0.025157,0.006289,0.031646,0.03481,0.022152,0.201258,0.025157,0.025157,0.06962,0.125786,0.075949,0.066456,0.006289,0.015823,0.050633,0.012579,0.125786,0.091772,0.015823,0.044025,0.031646,0,0.132075,0,0.037975,0.006329,0.03481,0.050633,0,0,0.100629,0.006329,0,0.015823,0.012658,0.041139,0,0.041139,0.012579,0.012579,0.050633,0.009494,0.031646,0.088608,0.015823,0.037736,0,0.018868,0.03481,0.060127,0.012658,0.050633,0.015823,0.012658,0.018868,0.037736,0.129747,0,0,0.056604,0.150943,0,0.044304,0.041139,0.120253,0.031646,0.012579,0.188679,0.006289,0.025316,0.072785,0.025157,0.037736,0.006289,0.056962,0.012658,0.003165,0.047468,0.031447,0.110759,0.088608,0,0.006329,0.123418,0,0.044304,0.169811,0.044304,0.202532,0.132075] 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 -0.006289308176100628 kappa -0.006289308176100628 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.012658227848101266 kappa -0.006289308176100628 kappa -0.006289308176100628 kb_relative_information_score 1.887573563002782 kb_relative_information_score 1.8997381334770236 kb_relative_information_score 1.8712732515764938 kb_relative_information_score 1.8994544126939374 kb_relative_information_score 1.9438944580584354 kb_relative_information_score 1.981349760604122 kb_relative_information_score 1.8312039071407733 kb_relative_information_score 1.8327283749933496 kb_relative_information_score 1.8901546602415016 kb_relative_information_score 1.8892262248607643 mean_absolute_error 0.01980241513331855 mean_absolute_error 0.01980212115214848 mean_absolute_error 0.019802779288304352 mean_absolute_error 0.019802474895398887 mean_absolute_error 0.019803080112478187 mean_absolute_error 0.019802704415822235 mean_absolute_error 0.019803727900330127 mean_absolute_error 0.019803407469050335 mean_absolute_error 0.01980257074373418 mean_absolute_error 0.019802624015992656 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 0.00625 predictive_accuracy 0.00625 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0 predictive_accuracy 0.00625 predictive_accuracy 0.00625 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 0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0 [0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.00625 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] relative_absolute_error 1.0001219764302283 relative_absolute_error 1.0001071288963863 relative_absolute_error 1.0001403680961778 relative_absolute_error 1.0001249947171138 relative_absolute_error 1.0001555612362703 relative_absolute_error 1.0001365866576868 relative_absolute_error 1.0001882777944493 relative_absolute_error 1.00017209439648 relative_absolute_error 1.0001298355421286 relative_absolute_error 1.0001325260602334 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 0.09953006936475903 root_mean_squared_error 0.09952847710310028 root_mean_squared_error 0.09953427129924852 root_mean_squared_error 0.09953274573422041 root_mean_squared_error 0.09953838580239315 root_mean_squared_error 0.09953633658734715 root_mean_squared_error 0.09953908118678437 root_mean_squared_error 0.09953737785993894 root_mean_squared_error 0.09953159847831278 root_mean_squared_error 0.09953189408795922 root_relative_squared_error 1.0003148346695518 root_relative_squared_error 1.0002988318377635 root_relative_squared_error 1.0003570657001437 root_relative_squared_error 1.0003417331947149 root_relative_squared_error 1.000398418012657 root_relative_squared_error 1.000377822626529 root_relative_squared_error 1.0004054068887502 root_relative_squared_error 1.0003882878098365 root_relative_squared_error 1.0003302028390053 root_relative_squared_error 1.0003331738277377 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 2816.234295000072 usercpu_time_millis 2614.5456919999788 usercpu_time_millis 2623.4186110000337 usercpu_time_millis 2665.761677999967 usercpu_time_millis 2866.6798699999845 usercpu_time_millis 2630.9642339999755 usercpu_time_millis 2638.070233999997 usercpu_time_millis 2825.23221200006 usercpu_time_millis 3021.993885000029 usercpu_time_millis 2652.994341000067 usercpu_time_millis_testing 164.45106800006215 usercpu_time_millis_testing 158.89142699995773 usercpu_time_millis_testing 152.05867199995282 usercpu_time_millis_testing 154.2289770000025 usercpu_time_millis_testing 166.14695099997334 usercpu_time_millis_testing 161.42475599997397 usercpu_time_millis_testing 154.5667789999925 usercpu_time_millis_testing 206.99837000006482 usercpu_time_millis_testing 155.2081370000451 usercpu_time_millis_testing 156.46592600000986 usercpu_time_millis_training 2651.78322700001 usercpu_time_millis_training 2455.654265000021 usercpu_time_millis_training 2471.359939000081 usercpu_time_millis_training 2511.5327009999646 usercpu_time_millis_training 2700.532919000011 usercpu_time_millis_training 2469.5394780000015 usercpu_time_millis_training 2483.5034550000046 usercpu_time_millis_training 2618.233841999995 usercpu_time_millis_training 2866.785747999984 usercpu_time_millis_training 2496.528415000057