8833154 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) 6808204 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 300.53184708945474 7708 cache_size 200 7708 class_weight null 7708 coef0 0.7079192916739014 7708 decision_function_shape null 7708 degree 1 7708 gamma 0.7465082686680263 7708 kernel "rbf" 7708 max_iter -1 7708 probability true 7708 random_state 61887 7708 shrinking false 7708 tol 3.172775744766654e-05 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 18582056 description https://api.openml.org/data/download/18582056/description.xml -1 18582057 predictions https://api.openml.org/data/download/18582057/predictions.arff area_under_roc_curve 0.46682252209595965 [0.419586,0.391296,0.407592,0.404396,0.418284,0.416568,0.427202,0.384825,0.428188,0.403409,0.413786,0.438013,0.575363,0.403606,0.400193,0.398122,0.410788,0.689236,0.485401,0.477154,0.399148,0.410117,0.658578,0.411735,0.415404,0.555319,0.622356,0.376578,0.506116,0.54431,0.532039,0.404869,0.612926,0.531684,0.408696,0.479088,0.566209,0.625592,0.523122,0.376894,0.419271,0.415483,0.545415,0.54577,0.398556,0.464291,0.402383,0.355311,0.433554,0.521741,0.500197,0.471473,0.441604,0.387705,0.428741,0.496054,0.413668,0.491083,0.57339,0.423532,0.694326,0.641414,0.536577,0.422546,0.413944,0.36486,0.685093,0.409998,0.402817,0.399148,0.606968,0.53922,0.652541,0.392914,0.391769,0.400687,0.477273,0.569444,0.351681,0.377052,0.4302,0.63084,0.37934,0.578322,0.546796,0.381826,0.406763,0.342527,0.44622,0.559186,0.530145,0.406368,0.378788,0.432844,0.41063,0.422033,0.382615,0.373856,0.607047,0.422625] average_cost 0 kappa 0.05934343434343435 kb_relative_information_score 12.43454549744148 mean_absolute_error 0.019795825175783332 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 0.06875 prior_entropy 6.6438561897747395 recall 0.06875 [0.125,0.125,0.0625,0.25,0,0.125,0.25,0.0625,0.25,0,0,0.25,0.0625,0.125,0,0.0625,0.0625,0.0625,0,0,0.125,0,0.125,0.125,0.0625,0.0625,0.125,0.0625,0,0.0625,0.125,0.0625,0.0625,0.0625,0.0625,0,0.125,0,0.125,0,0,0.0625,0,0.0625,0.0625,0,0.125,0,0.0625,0,0.0625,0.0625,0.1875,0,0,0,0,0.0625,0,0.1875,0.0625,0.0625,0.1875,0,0.0625,0,0,0.1875,0,0.0625,0,0.0625,0.0625,0,0,0.0625,0.125,0.125,0,0,0.125,0.0625,0,0.1875,0.0625,0.0625,0.125,0.0625,0.125,0.0625,0,0.125,0,0.1875,0,0.125,0.125,0.0625,0,0.125] relative_absolute_error 0.9997891502920857 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09948272443367284 root_relative_squared_error 0.9998390002085269 total_cost 0 area_under_roc_curve 0.3699272549956214 [0.962264,0.129747,0.136076,0.880503,0.126582,0.968553,0.164557,1,0.617089,0.937107,0.544304,0.056962,0.031646,0.322785,0.278481,0.691824,0.132911,0.420886,0.563291,0.962264,1,1,1,1,0.918239,0.047468,0.427215,0.063291,0.117089,1,0,0.129747,0.003165,0.006329,0.082278,0.993711,0.981132,0.981132,1,0.221519,1,1,0.03481,0,0.256329,0.063291,1,0.169811,0.14557,0.031646,0.003165,0.012658,1,0.243671,0.987421,0.974843,0.224684,1,1,0.098101,1,1,0.18038,0.101266,1,0.006329,0.025316,1,1,0.993711,0.072785,1,0.028481,0.107595,0.955975,0.117089,0.822785,0.253165,0.091772,0.110759,0.012658,0.006329,0.91195,1,0.079114,0.417722,0.193038,0.003165,0.155063,1,0,1,0.053797,0.126582,0.129747,0.341772,0.987421,0.436709,0.863924,0.981132] area_under_roc_curve 0.3708939127059947 [0.987421,0.091772,0.259494,0.91195,0.306962,1,0.161392,1,0.246835,1,0.272152,0.240506,0,0.256329,0.302215,1,0.14557,0.018987,0.018987,0.918239,1,1,1,1,0.993711,0.474684,0.601266,0.21519,0,1,0,0.265823,0.025316,0.009494,0.262658,0.993711,0.880503,0.987421,1,0.218354,0.987421,1,0,0.142405,0.253165,0.088608,1,0.993711,0.164557,0.015823,0.006329,0.21519,0.981132,0.148734,1,0.987421,0.306962,1,1,0.231013,1,1,0.088608,0.091772,1,0.031646,0.120253,1,0.981132,0.993711,0.037975,1,0,0.357595,0.993711,0.075949,0.091772,0.455696,0.082278,0.335443,0.202532,0.139241,0.823899,0.955975,0.025316,0.053797,0.363924,0.196203,0.522152,0.993711,0,1,0.088608,0.199367,0.148734,0.164557,0.955975,0.101266,0.079114,0.981132] area_under_roc_curve 0.3781570933842847 [0.351266,0.113924,0.227848,0.748428,0.155063,0.357595,1,0.142405,0.322785,0,0.300633,0.177215,1,0.310127,0.329114,0.221519,0.136076,0.079114,0.968553,0.088608,0.968553,0.805031,0.417722,1,0.993711,0.496835,0.041139,0.993711,0.018987,0.031646,1,0.231013,0.047468,0.46519,0.91195,1,1,0.981132,1,0.123418,0.544304,0.987421,1,1,0.310127,1,0.278481,1,0.585443,0.075949,0.060127,0.993711,0.993711,0.079114,0.993711,0,1,0.03481,0.981132,0.579114,1,1,0.088608,0.987421,0.113924,0.006329,0,0.06962,0.943396,0.427215,0.031646,0.041139,0.987421,0.313291,0.993711,0.03481,0.003165,0.066456,0.113924,0.183544,1,0.462025,0.170886,0.006329,1,1,1,0.009494,0.056962,1,0,1,0.974843,0.117089,0.151899,1,0.129747,0.167722,0.981132,0.158228] area_under_roc_curve 0.35869183385080816 [0.218354,0.120253,0.275316,0.761006,0.21519,0.256329,1,0.050633,0.253165,0.110759,0.265823,0.205696,1,0.243671,0.272152,0.158228,0.113924,0.5,0.962264,0.471519,0.993711,0.981132,0.018987,1,1,0.015823,0.132911,1,0.037975,0,1,0.297468,0,0,0.993711,0.987421,1,0.949686,1,0.056962,0.126582,0.949686,1,1,0.310127,1,0.196203,0.974843,0.14557,0,0.009494,1,1,0.496835,0.987421,0.012658,1,0.037975,0.993711,0.060127,0.993711,1,0.028481,1,0.025316,0.088608,0.43038,0.123418,1,0.253165,0.544304,0.050633,1,0.120253,1,0.136076,0.088608,0.066456,0.186709,0.066456,0.993711,0.050633,0.075949,0.037975,0.993711,1,0.937107,0.018987,0.158228,1,0.031646,1,1,0.158228,0.110759,1,0.231013,0.107595,0.81761,0.183544] area_under_roc_curve 0.3799836796433405 [0.205696,0.993711,0.063291,0.341772,1,0.509494,1,0.287975,1,0.136076,0.303797,0.224684,0.993711,0.496855,0.987421,0.294304,0.012658,0.471519,0.930818,0.594937,0.044304,0.183544,0.022152,0.275316,0.085443,0.012658,0.015823,1,0.981132,0,1,0.666667,0.025316,0.022152,1,0,0,0.446203,0.085443,0.126582,0.205696,0.221519,1,1,0.742138,1,0.170886,0.158228,0.477848,0.458861,0.993711,0.987421,0.205696,0.955975,0.414557,0.03481,0.987421,0.129747,0.006329,1,0.151899,0,0.987421,0.993711,0.151899,0.161392,0.968553,0.272152,0.306962,0.151899,0,0.110759,0.987421,0.647799,0.417722,1,0.123418,0.911392,0.041139,1,1,0.031646,0.164557,0.03481,1,1,0.987421,0.987421,0.18038,0.006329,0.987421,0.338608,0.974843,0.943396,0.189873,1,0.082278,1,0.830189,0.287975] area_under_roc_curve 0.3949999004856301 [0.202532,1,0.227848,0.325949,1,0.420886,1,0.164557,1,0.297468,0.547468,0.085443,0.861635,0.955975,0.874214,0.287975,0.167722,0.003165,0.949686,0.047468,0.458861,0.243671,0.731013,0.291139,0.091772,0.018987,0.408228,1,1,0,1,1,0,0.028481,0.962264,0,0.917722,0.041139,0.075949,0.183544,0.193038,0.117089,1,1,0.968553,1,0.218354,0.126582,0.142405,0.012658,1,1,0.189873,1,0.329114,0.39557,1,0.091772,0.015823,1,0.022152,0.458861,1,1,0.123418,0.487342,0.987421,0.164557,0.189873,0.265823,0.044304,0.10443,0.987421,0.930818,0.155063,1,0.044304,0.018987,0.208861,1,1,0.525316,0.14557,0.006329,1,1,1,1,0.091772,0.088608,0.993711,0.202532,1,1,0.196203,1,0.047468,0.955975,0.974843,0.205696] area_under_roc_curve 0.3606054951835045 [0.202532,0.993711,1,0.386076,1,0.613924,0.164557,0.227848,0.874214,0.091772,0.981132,1,0.075949,1,0.704403,0.278481,1,0.955975,0.056962,0.136076,0.110759,0.218354,0.009494,0.306962,0.075949,0.012579,1,0.123418,1,0,0.117089,0.981132,1,0.993711,0.313291,0,0.025316,0.009494,0.053797,0.955975,0.21519,0.370253,0.006329,0,0.849057,0.231013,0.129747,0.189873,1,1,0.955975,0.164557,0.075949,0.955975,0.139241,0,0.212025,0.129747,0.5,1,0.041139,0.088608,1,0.243671,0.088608,0.943396,0.993711,0.126582,0.085443,0.322785,1,0.158228,0,1,0.075949,1,1,1,0.930818,0.968553,0.60443,0.993711,0.107595,0,0.003165,0.018987,0.268987,0.855346,0.993711,0.006329,1,0.18038,0.268987,1,1,0.129747,0.158228,1,0.756329,0.205696] area_under_roc_curve 0.3742271465249584 [0.174051,0.993711,1,0.275316,1,0.492089,0.142405,0.234177,0.981132,0,0.893082,1,0.041139,1,0.805031,0.151899,1,0.962264,0.075949,0.053797,0.031646,0.186709,0.047468,0.234177,0.044304,0.987421,0.981132,0.240506,0.955975,0.132911,0,1,0.993711,0.993711,0.170886,0,0.009494,0.455696,0.126582,1,0.924051,0.060127,0,0.025316,1,0.044304,0.174051,0.427215,0.981132,1,0.981132,0.870253,0.506329,0.968553,0.474684,0.003165,0.174051,0.006329,0.066456,0.968553,0.003165,0.006329,1,0.142405,0.189873,0.735849,0.943396,0.136076,0.401899,0.237342,0.993711,0.075949,0,1,0.205696,0.993711,1,0.943396,1,1,0.015823,0.987421,0.202532,0,0,0.14557,0.186709,1,1,0.082278,0.993711,0.268987,0.132911,1,1,0.234177,0.117089,1,0.462025,0.094937] area_under_roc_curve 0.36512941843802244 [1,0.025316,1,0.300633,0.221519,0.955975,0.14557,1,0.484177,0,0.968553,1,0.063291,0.224684,0.272152,1,1,0.993711,0.03481,0.974843,0.044304,0.268987,0.993711,0.265823,0.164557,1,0.968553,0.110759,0.072785,1,0,0.21519,0.955975,0.987421,0.224684,0,0,0.46519,0.221519,0.930818,0.90566,0.170886,0,0.120253,0.297468,0.06962,0.993711,0.10443,1,1,0.091772,0.53481,0.107595,0.224684,0.832278,0.987421,0.25,1,0.003165,0.205696,0.088608,0,0,0.098101,1,1,0.506329,1,0.193038,0.132075,1,0.90566,0.082278,0.316456,0.075949,0.088608,1,1,0.874214,0.202532,0.132911,1,1,1,0.012658,0,0.142405,0.151899,1,0.031646,0.009494,0.246835,0.009494,0.066456,1,0.468354,1,0.14557,0.537975,1] area_under_roc_curve 0.405195147679325 [1,0.126582,1,0.335443,0.186709,0.779874,0.246835,0.993711,0.594937,0.358491,0.993711,1,0.481013,0.351266,0.310127,0.949686,1,0.981132,0.458861,0.968553,0.082278,0.196203,1,0.098101,0.142405,1,0.974843,0.117089,0.174051,1,0.003165,0.310127,0.993711,0.993711,0.170886,0,0.006329,0.012658,0.5,0.893082,0.918239,0.18038,0.028481,0,0.164557,0.066456,1,0.139241,0.981132,0.943396,0.053797,0.613924,0.072785,0.509494,0.177215,0.968553,0.202532,1,0.044304,0.117089,0.468354,0.003165,0.199367,0.015823,0.981132,0.993711,0.481013,1,0.167722,1,0.981132,0.993711,0.455696,0.25,0.382911,0.518987,1,1,0.937107,0.193038,0.117089,0.106918,1,1,0.060127,0.237342,0.240506,0.186709,1,0.202532,0,0.202532,0.158228,0.889241,1,0.199367,0.981132,0.579114,0.098101,1] 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 0.04402515723270441 kappa 0.07547169811320754 kappa 0.07547169811320754 kappa 0.06289308176100629 kappa 0.04402515723270441 kappa 0.07547169811320754 kappa 0.06289308176100629 kappa 0.0691823899371069 kappa 0.07547169811320754 kappa 0.04402515723270441 kb_relative_information_score 1.409427254054082 kb_relative_information_score 1.315295508308422 kb_relative_information_score 1.4494966826465798 kb_relative_information_score 1.4117951517788985 kb_relative_information_score 0.9439669643134512 kb_relative_information_score 1.3175479860188262 kb_relative_information_score 1.1172159673549182 kb_relative_information_score 1.1862214349814666 kb_relative_information_score 1.2619760184334854 kb_relative_information_score 1.0216025295513402 mean_absolute_error 0.019793988930437677 mean_absolute_error 0.019795539451313036 mean_absolute_error 0.01979447693891486 mean_absolute_error 0.019794544575524764 mean_absolute_error 0.019798586990506968 mean_absolute_error 0.01979519085791424 mean_absolute_error 0.019796984125957838 mean_absolute_error 0.019796104113160844 mean_absolute_error 0.01979566538360821 mean_absolute_error 0.019797170390495132 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 0.05 predictive_accuracy 0.08125 predictive_accuracy 0.08125 predictive_accuracy 0.06875 predictive_accuracy 0.05 predictive_accuracy 0.08125 predictive_accuracy 0.06875 predictive_accuracy 0.075 predictive_accuracy 0.08125 predictive_accuracy 0.05 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 0.05 [0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1] recall 0.08125 [0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,1,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0] recall 0.08125 [0,0,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0] recall 0.06875 [0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,1,0,0,0,1,0,0,0,0] recall 0.05 [0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0] recall 0.08125 [0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0] recall 0.06875 [0,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0] recall 0.075 [0,1,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0] recall 0.08125 [1,0,1,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1] recall 0.05 [1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0] relative_absolute_error 0.9996964106281638 relative_absolute_error 0.999774719763283 relative_absolute_error 0.9997210575209509 relative_absolute_error 0.9997244735113501 relative_absolute_error 0.9999286358841886 relative_absolute_error 0.999757114036071 relative_absolute_error 0.999847683129182 relative_absolute_error 0.9998032380384249 relative_absolute_error 0.999781079980211 relative_absolute_error 0.9998570904290454 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 0.09947430271216799 root_mean_squared_error 0.09948222267186128 root_mean_squared_error 0.09947666347803413 root_mean_squared_error 0.09947672276388655 root_mean_squared_error 0.09949626747706285 root_mean_squared_error 0.09947883843047882 root_mean_squared_error 0.09948791961730317 root_mean_squared_error 0.09948423984523591 root_mean_squared_error 0.09948127435864279 root_mean_squared_error 0.09948879091818427 root_relative_squared_error 0.9997543587227077 root_relative_squared_error 0.9998339573125786 root_relative_squared_error 0.9997780853123921 root_relative_squared_error 0.999778681157628 root_relative_squared_error 0.9999751129159339 root_relative_squared_error 0.9997999444069251 root_relative_squared_error 0.9998912137685843 root_relative_squared_error 0.9998542306677929 root_relative_squared_error 0.9998244264061256 root_relative_squared_error 0.9998999706719239 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 3887.366528997518 usercpu_time_millis 3659.458343001461 usercpu_time_millis 3659.2977580003208 usercpu_time_millis 3655.0280940027733 usercpu_time_millis 3647.4378349994367 usercpu_time_millis 3758.398786998441 usercpu_time_millis 3668.231822000962 usercpu_time_millis 3657.2910429968033 usercpu_time_millis 3674.0491449963883 usercpu_time_millis 3669.950465999136 usercpu_time_millis_testing 132.73664499865845 usercpu_time_millis_testing 132.59747499978403 usercpu_time_millis_testing 135.64603499980876 usercpu_time_millis_testing 133.13822200143477 usercpu_time_millis_testing 132.48153499807813 usercpu_time_millis_testing 161.67977399891242 usercpu_time_millis_testing 131.7346270006965 usercpu_time_millis_testing 132.07802399847424 usercpu_time_millis_testing 131.50009299715748 usercpu_time_millis_testing 131.20373600031598 usercpu_time_millis_training 3754.6298839988594 usercpu_time_millis_training 3526.860868001677 usercpu_time_millis_training 3523.651723000512 usercpu_time_millis_training 3521.8898720013385 usercpu_time_millis_training 3514.9563000013586 usercpu_time_millis_training 3596.719012999529 usercpu_time_millis_training 3536.4971950002655 usercpu_time_millis_training 3525.213018998329 usercpu_time_millis_training 3542.549051999231 usercpu_time_millis_training 3538.7467299988202