8699458 1 Jan van Rijn 9954 Supervised Classification 7707 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)(1) 6676877 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "median" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 762.7327759264789 7708 cache_size 200 7708 class_weight null 7708 coef0 0.975596313722046 7708 decision_function_shape null 7708 degree 4 7708 gamma 0.33610933542355037 7708 kernel "rbf" 7708 max_iter -1 7708 probability true 7708 random_state 14251 7708 shrinking true 7708 tol 0.0005929222108506994 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 18315841 description https://api.openml.org/data/download/18315841/description.xml -1 18315842 predictions https://api.openml.org/data/download/18315842/predictions.arff area_under_roc_curve 0.419431029040404 [0.212674,0.262824,0.282947,0.362551,0.238597,0.317708,0.202809,0.233744,0.270399,0.649779,0.300071,0.277028,0.398201,0.27107,0.316308,0.248264,0.282513,0.861545,0.249842,0.309028,0.266059,0.301452,0.3009,0.249092,0.313605,0.923453,0.271149,0.26452,0.295533,0.979759,0.969223,0.285275,0.619239,0.990136,0.277383,0.998422,0.939946,0.952139,0.303109,0.296086,0.318419,0.27833,0.856731,0.817985,0.320352,0.284249,0.289575,0.240451,0.236387,0.914773,0.317432,0.261443,0.243687,0.233665,0.253196,0.982284,0.270794,0.265073,0.900963,0.267164,0.362374,0.951862,0.357521,0.219815,0.20928,0.389402,0.80307,0.204743,0.291114,0.28997,0.735243,0.221551,0.974747,0.353772,0.282986,0.273398,0.377604,0.337121,0.325166,0.272767,0.284288,0.577415,0.341343,0.930674,0.755051,0.320352,0.289062,0.33503,0.247554,0.360085,0.97242,0.3198,0.325876,0.19622,0.220486,0.225576,0.231692,0.256944,0.392519,0.229877] average_cost 0 kappa 0.10984848484848485 kb_relative_information_score 33.20035004117131 mean_absolute_error 0.01975758502013873 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 0.11875 prior_entropy 6.6438561897747395 recall 0.11875 [0.125,0.25,0,0,0,0,0,0,0,0.1875,0,0.1875,0.125,0,0,0,0.1875,0.1875,0.125,0.125,0.1875,0,0.25,0,0.125,0.375,0,0.125,0.0625,0.625,0.625,0,0.1875,0.5625,0,0.875,0.5,0.25,0.125,0,0.0625,0,0.1875,0.125,0,0.125,0,0,0,0.1875,0.0625,0,0,0,0,0.4375,0,0.125,0.1875,0,0.25,0.5625,0.0625,0,0,0.125,0.1875,0,0,0,0.1875,0,0.5625,0,0,0,0.25,0.1875,0.0625,0,0,0.125,0.125,0.3125,0.125,0.125,0,0,0,0.125,0.625,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9978578292999338 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.0993264093182695 root_relative_squared_error 0.9982679741877573 total_cost 0 area_under_roc_curve 0.3339162387548761 [0.320755,0.03481,0.018987,0.251572,0.094937,0.245283,0.018987,0.257862,0.072785,1,0.037975,0.012658,0.129747,0.053797,0.066456,0.333333,0.037975,0.974684,0.047468,0.974843,0.993711,0.157233,1,0.232704,0.981132,0.968354,0.03481,0.012658,0.129747,1,1,0.018987,0.03481,0.990506,0.041139,0.993711,1,1,0.106918,0.047468,0.044025,0.138365,1,1,0.06962,0.037975,0.050314,0.050314,0.031646,1,0.025316,0.015823,0.974843,0.079114,0.18239,1,0.053797,1,1,0.031646,1,1,0.132911,0.047468,0.257862,0.031646,0.971519,0.075472,0.075472,0.144654,0.990506,0.201258,0.996835,0.031646,0.264151,0.03481,0.746835,0.629747,0.025316,0.028481,0.018987,0.050633,0.974843,1,1,0.037975,0.047468,0.015823,0.101266,1,1,0.18239,0.018987,0.044304,0.03481,0.079114,0.100629,0.060127,0.512658,0.031447] area_under_roc_curve 0.34371218453944763 [0.226415,0.006329,0.041139,0.257862,0.050633,0.18239,0.03481,0.018868,0.028481,1,0.041139,0.066456,0,0.281646,0.056962,0.031447,0.03481,0.981013,0.018987,0.937107,1,0.238994,1,0.08805,0.150943,1,0.060127,0.041139,0,1,1,0.041139,0.993671,0.993671,0.044304,0.993711,0.955975,0.993711,1,0.079114,0.987421,0.025157,1,0.996835,0.050633,0.025316,0.138365,0.345912,0.018987,1,0,0.060127,0.955975,0.031646,0.176101,0.981132,0.063291,1,1,0.085443,1,1,0.03481,0.025316,0.138365,0.072785,0.962025,0.09434,0.012579,0.113208,0.503165,0.264151,1,0.085443,0.232704,0.012658,0.060127,0.028481,0.009494,0.107595,0.117089,0.914557,0.943396,0.987421,1,0.012658,0.085443,0.050633,0.025316,0.987421,1,0.100629,0.044304,0.060127,0.037975,0.044304,0.308176,0.031646,0.96519,0.08805] area_under_roc_curve 0.291834348379906 [0.012658,0.025316,0.072785,0.301887,0.022152,0.151899,0.106918,0.018987,0.091772,0,0.056962,0.041139,1,0.085443,0.126582,0.044304,0.031646,0.949367,1,0.098101,0.987421,0.320755,0.164557,0.031447,0.993711,0.977848,0.015823,0.044025,0.022152,1,1,0.050633,0.575949,1,0.289308,1,0.993711,0.968553,1,0.044304,0.101266,0.207547,1,1,0.098101,1,0.10443,0.232704,0.079114,1,0.082278,0.125786,0.08805,0.018987,0.081761,0.993671,0.113208,0.015823,0.981132,0.126582,1,1,0.028481,1,0.022152,0.003165,0.009494,0.009494,0.245283,0.107595,0.022152,0.015823,0.987421,0.120253,0.157233,0.006329,0,0.072785,0.031646,0.041139,1,0.082278,0.072785,1,1,1,0.050314,0.006329,0.009494,1,1,0.050314,1,0.028481,0.028481,0.031447,0.022152,0.075949,0.037736,0.015823] area_under_roc_curve 0.32245765663561826 [0.047468,0.03481,0.088608,0.27673,0.14557,0.072785,0.08805,0.006329,0.044304,1,0.041139,0.044304,1,0.03481,0.066456,0.03481,0.03481,0.490506,0.974843,0.009494,1,0.232704,0,0.08805,1,0.977848,0.072785,1,0.022152,1,1,0.075949,0.063291,1,0.113208,0.987421,0.993711,0.949686,1,0.022152,0.06962,0.327044,1,1,0.085443,0.968553,0.079114,0.333333,0.022152,1,0.028481,0.138365,0.157233,0.113924,0.075472,0.984177,0.09434,0.015823,1,0.006329,1,1,0.018987,0.018868,0.018987,0.481013,0.974684,0.031646,0.106918,0.079114,0.984177,0.025316,0.993711,0.022152,0.113208,0.050633,0.117089,0.072785,0.053797,0.009494,0.993711,0.006329,0.044304,0.993671,0.993711,1,0.289308,0.006329,0.06962,1,0.987342,0.050314,1,0.03481,0.015823,0.012579,0.101266,0.03481,0.899371,0.091772] area_under_roc_curve 0.3667373218692781 [0.018987,1,0.009494,0.088608,0.113208,0.224684,0.119497,0.060127,0.113208,1,0.060127,0.037975,0.993711,0.660377,0.213836,0.063291,0.006329,0.509494,0.968553,0.075949,0.022152,0.03481,0.028481,0.028481,0.022152,0.974684,0.028481,1,1,1,1,0.371069,1,0.981013,0.09434,1,0.996835,0.968354,0.018987,0.015823,0.037975,0.022152,1,1,0.36478,1,0.015823,0.044304,0.012658,1,0.993711,0.251572,0.094937,0.194969,0.14557,0.955696,0.188679,0.044304,0.085443,0.106918,0.990506,1,0.981132,1,0.018987,0.218354,1,0.050633,0.120253,0.025316,0.085443,0.018987,1,0.358491,0.268987,1,0.088608,0.006329,0.012658,0.037736,0.09434,0.993671,0.06962,0.993671,1,1,0.238994,1,0.066456,0.018987,0.993711,0.018987,0.993711,0.333333,0.031646,0.150943,0.015823,0.031447,0.918239,0.050633] area_under_roc_curve 0.34853838269246074 [0.082278,1,0.060127,0.107595,0.106918,0.107595,0.106918,0.025316,0.132075,0.993671,0.060127,0.006329,0.981132,0.257862,0.289308,0.082278,0.025316,0.996835,0.113208,0.117089,0.009494,0.066456,0.031646,0.085443,0.028481,0.977848,0.098101,1,1,1,1,0.157233,0.082278,0.974684,0.238994,1,0.990506,1,0.009494,0.091772,0.120253,0.009494,1,1,0.257862,1,0.047468,0.031646,0.018987,0.085443,1,0.025157,0.107595,0.113208,0.088608,0.971519,0.069182,0.025316,0.993671,0.069182,0.031646,0.996835,0.993711,0.025157,0.018987,0.936709,0.993711,0.056962,0.101266,0.101266,1,0.041139,1,0.257862,0.063291,1,0.012658,0.028481,0.072785,0.157233,0.830189,0.977848,0.079114,0.993671,1,0.169811,0.069182,0.106918,0.015823,0.088608,1,0.072785,1,0.018868,0.037975,0.09434,0.006329,0.327044,0.987421,0.063291] area_under_roc_curve 0.3178849713398614 [0.018987,1,0.157233,0.094937,0.157233,0.037975,0.015823,0.028481,0.301887,1,0.257862,0.100629,0.063291,0.081761,0.314465,0.025316,1,0.974843,0.028481,0.094937,0.044304,0.022152,0.012658,0.050633,0.022152,0.861635,0.301887,0.031646,1,1,0.993671,0.295597,1,1,0.03481,1,0.968354,0.974684,0.012658,0.993711,0.082278,0.151899,0.066456,0.050633,0.301887,0.139241,0.018987,0.028481,0.125786,1,0.962264,0.018987,0.015823,0.238994,0.012658,1,0.025316,0.022152,0.990506,0.062893,0.022152,1,1,0.047468,0.015823,0.981132,0.993711,0.012658,0.012658,0.066456,1,0.025316,0.996835,0.157233,0.012658,1,1,1,1,0.188679,0.063291,0.993711,0.018987,0.993671,0.015823,0.018987,0.085443,0.893082,0.974843,0.012658,1,0.018987,0.155063,0.025157,0.062893,0.022152,0.018987,0.106918,0.142405,0.018987] area_under_roc_curve 0.33185032043627105 [0.053797,0.993711,0.150943,0.06962,0.194969,0.047468,0.018987,0.044304,0.213836,0.060127,0.314465,1,0.025316,0.106918,0.301887,0.028481,1,0.968553,0.088608,0.050633,0.063291,0.041139,0.018987,0.028481,0.018987,0.987421,0.132075,0.075949,0.987421,0.996835,1,0.119497,1,1,0.031646,1,0.984177,0.993671,0.037975,0.050314,0.006329,0.015823,1,1,0.069182,0.03481,0.028481,0.066456,0.150943,1,0.981132,0.047468,0.031646,0.006289,0.031646,0.981013,0.044304,0.006329,0.990506,0.339623,0.025316,1,1,0.050633,0.050633,0.955975,0.949686,0.03481,0.025316,0.107595,0.993711,0.018987,1,0.125786,0.053797,0.075472,1,0.943396,1,0.044025,0.056962,0.993711,0.079114,1,1,0.107595,0.031646,1,0.251572,0.085443,1,0.123418,0.050633,0.081761,0.08805,0.072785,0.028481,0.251572,0.028481,0.041139] area_under_roc_curve 0.3348713279197516 [0.08805,0.012658,0.031447,0.09019,0.063291,0.213836,0.025316,0.238994,0.075949,1,0.251572,0.91195,0.151899,0.053797,0.080696,0.176101,0.025157,0.993711,0.047468,0.987421,0.025316,0.088608,1,0.088608,0.082278,0.993711,1,0.044304,0.047468,1,1,0.060127,0.993711,0.993711,0.082278,1,1,0.974684,0.129747,1,0.962264,0.050633,0.522152,0.487342,0.085443,0.047468,0.188679,0.03481,0.169811,1,0.398734,0.022152,0.041139,0.066456,0.050633,0.987421,0.075949,1,0.993671,0.075949,0.996835,1,0.015823,0.031646,0.100629,0.993711,0.962025,0.119497,0.066456,0.018868,1,0.628931,0.968354,0.139241,0.018987,0.037975,1,1,0.993711,0.072785,0.063291,1,1,0.993711,0.082278,0.012658,0.022152,0.079114,0.056604,0.025316,0.996835,0.098101,0.009494,0.018987,0.176101,0.047468,0.08805,0.075949,0.044304,0.075472] area_under_roc_curve 0.35393753483002954 [0.069182,0.018987,0.245283,0.088608,0.028481,0.314465,0.063291,0.314465,0.047468,1,0.157233,0.352201,0.03481,0.151899,0.060127,0.314465,1,0.968553,0.028481,0.968553,0.041139,0.050633,1,0.009494,0.060127,0.993711,1,0.025316,0.14557,1,1,0.066456,1,0.981132,0.06962,1,0.993671,0.993671,0.056962,1,0.987421,0.037975,0.53481,0.996835,0.028481,0.041139,0.062893,0.028481,0.251572,0.993711,0.056962,0.085443,0.009494,0.066456,0.037975,0.968553,0.025316,1,0.984177,0.018987,0.012658,1,0.148734,0.006329,0.245283,0.993711,0.987342,0.893082,0.120253,0.025157,0.974843,0.981132,0.996835,0.085443,0.091772,0.050633,1,1,1,0.031646,0.03481,0.981132,1,0.993711,0.996835,0.158228,0.050633,0.075949,0.138365,0.218354,1,0.082278,0.053797,0.037975,0.157233,0.047468,0.025157,0.072785,0.237342,0.106918] 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 0.11932376646353451 kappa 0.10663730732934885 kappa 0.10674267741301358 kappa 0.11932376646353451 kappa 0.08765582602540406 kappa 0.11264946507237254 kappa 0.10031064448900946 kappa 0.11911596995556255 kappa 0.14431773495871017 kappa 0.11289371239825409 kb_relative_information_score 3.545242996047081 kb_relative_information_score 2.5451545695431683 kb_relative_information_score 3.0490053339778598 kb_relative_information_score 2.710729228855575 kb_relative_information_score 3.44268153340622 kb_relative_information_score 3.36334494202643 kb_relative_information_score 3.856439272521553 kb_relative_information_score 3.8927695899406696 kb_relative_information_score 4.06417009559113 kb_relative_information_score 2.7308124792615924 mean_absolute_error 0.01976516079132639 mean_absolute_error 0.019786970469670262 mean_absolute_error 0.01977238511614684 mean_absolute_error 0.01978515999601185 mean_absolute_error 0.019758670076279287 mean_absolute_error 0.019763507169542976 mean_absolute_error 0.019676086630645732 mean_absolute_error 0.01973965975143616 mean_absolute_error 0.019750446199318775 mean_absolute_error 0.01977780400100921 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 0.125 predictive_accuracy 0.1125 predictive_accuracy 0.1125 predictive_accuracy 0.125 predictive_accuracy 0.09375 predictive_accuracy 0.11875 predictive_accuracy 0.10625 predictive_accuracy 0.125 predictive_accuracy 0.15 predictive_accuracy 0.11875 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 0.125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0.5,0,0,0,0,0.5,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0] recall 0.1125 [1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,1,0.5,0,0,1,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0] recall 0.1125 [0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0.5,0,0,0,0.5,1,0,0,0,0,1,1,1,1,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.125 [0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,1,0.5,0,1,0,1,1,0,0,0.5,0,0,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0] recall 0.09375 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0.5,0,1,0,0,1,0,0,0.5,0,1,0.5,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0.5,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0] recall 0.11875 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,1,1,1,0,0,0.5,0,0.5,0,0.5,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,0,0.5,0,0,0,0,0,0.5,1,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0] recall 0.10625 [0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0.5,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0] recall 0.125 [0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0.5,0.5,0,1,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,1,0,0.5,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0] recall 0.15 [0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,1,0,1,0,0,1,0,0,0,0,0,0,1,1,0,0,1,0,1,0.5,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,1,1,1,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0] recall 0.11875 [0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,1,0,0,0,0,0.5,0,1,1,0,1,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0] relative_absolute_error 0.9982404440063817 relative_absolute_error 0.9993419429126378 relative_absolute_error 0.9986053088963033 relative_absolute_error 0.9992505048490817 relative_absolute_error 0.9979126301151139 relative_absolute_error 0.9981569277546941 relative_absolute_error 0.9937417490225101 relative_absolute_error 0.9969525126987944 relative_absolute_error 0.9974972827938758 relative_absolute_error 0.9988789899499584 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 0.09935075914438884 root_mean_squared_error 0.09944767362834116 root_mean_squared_error 0.09937735851563631 root_mean_squared_error 0.09943876950309737 root_mean_squared_error 0.09930985595739393 root_mean_squared_error 0.09933328086332543 root_mean_squared_error 0.09901997872979694 root_mean_squared_error 0.09922903697745682 root_mean_squared_error 0.09935077092923851 root_mean_squared_error 0.09940589848397177 root_relative_squared_error 0.998512699148207 root_relative_squared_error 0.9994867263603909 root_relative_squared_error 0.998780032887865 root_relative_squared_error 0.9993972365345728 root_relative_squared_error 0.9981016066512619 root_relative_squared_error 0.9983370358140624 root_relative_squared_error 0.995188230896087 root_relative_squared_error 0.997289345340987 root_relative_squared_error 0.9985128175904024 root_relative_squared_error 0.9990668703620996 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 3421.729916000004 usercpu_time_millis 3222.8439739997157 usercpu_time_millis 3283.6787810001624 usercpu_time_millis 3292.3218290002296 usercpu_time_millis 3456.0905650000677 usercpu_time_millis 3302.660955000192 usercpu_time_millis 3288.649844000247 usercpu_time_millis 3281.474261999847 usercpu_time_millis 3295.5426889998307 usercpu_time_millis 3337.488364999899 usercpu_time_millis_testing 149.33042600023327 usercpu_time_millis_testing 156.38494199993147 usercpu_time_millis_testing 151.2571780003782 usercpu_time_millis_testing 150.40139200027625 usercpu_time_millis_testing 150.8186310002202 usercpu_time_millis_testing 148.54392300003383 usercpu_time_millis_testing 152.13665900000706 usercpu_time_millis_testing 149.3190969999887 usercpu_time_millis_testing 148.64323299980242 usercpu_time_millis_testing 152.8724360000524 usercpu_time_millis_training 3272.3994899997706 usercpu_time_millis_training 3066.459031999784 usercpu_time_millis_training 3132.421602999784 usercpu_time_millis_training 3141.9204369999534 usercpu_time_millis_training 3305.2719339998475 usercpu_time_millis_training 3154.1170320001584 usercpu_time_millis_training 3136.51318500024 usercpu_time_millis_training 3132.1551649998582 usercpu_time_millis_training 3146.8994560000283 usercpu_time_millis_training 3184.615928999847