10086818 1 Jan van Rijn 9954 Supervised Classification 8815 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,decisiontreeclassifier=sklearn.tree.tree.DecisionTreeClassifier)(1) 8011884 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "mean" 8778 verbose 0 8778 copy true 8779 with_mean true 8779 with_std true 8779 memory null 8780 copy true 8781 fill_value -1 8781 missing_values NaN 8781 strategy "constant" 8781 verbose 0 8781 categorical_features null 8782 categories null 8782 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 8782 handle_unknown "ignore" 8782 n_values null 8782 sparse true 8782 class_weight null 8783 criterion "gini" 8783 max_depth null 8783 max_features 1.0 8783 max_leaf_nodes null 8783 min_impurity_decrease 0.0 8783 min_impurity_split null 8783 min_samples_leaf 16 8783 min_samples_split 19 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 65468 8783 splitter "best" 8783 n_jobs null 8812 remainder "passthrough" 8812 sparse_threshold 0.3 8812 transformer_weights null 8812 memory null 8813 memory null 8815 threshold 0.0 8816 openml-python Sklearn_0.20.0. 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 21094172 description https://api.openml.org/data/download/21094172/description.xml -1 21094173 predictions https://api.openml.org/data/download/21094173/predictions.arff area_under_roc_curve 0.8608049242424243 [0.790286,0.924381,0.894492,0.901042,0.834557,0.889066,0.858823,0.857836,0.800762,0.998658,0.826665,0.830039,0.959635,0.878176,0.896504,0.761462,0.903527,0.81832,0.863873,0.845703,0.862788,0.802182,0.924262,0.903291,0.925663,0.761206,0.704881,0.881076,0.862117,0.896839,0.895952,0.865609,0.892341,0.825915,0.891256,0.924716,0.829289,0.816761,0.764777,0.89392,0.864879,0.830374,0.901298,0.854522,0.8605,0.895103,0.86703,0.92947,0.923966,0.831538,0.939453,0.887745,0.859138,0.879143,0.918087,0.8401,0.999211,0.892618,0.920672,0.758957,0.894788,0.898872,0.927596,0.794192,0.864149,0.83142,0.787149,0.893446,0.763435,0.840159,0.794014,0.964962,0.824712,0.828145,0.750355,0.818695,0.931305,0.710543,0.93093,0.953184,0.815006,0.923611,0.719914,0.929845,0.878117,0.900391,0.902363,0.828381,0.890645,0.900193,0.899424,0.893624,0.75363,0.809994,0.789773,0.828875,0.884292,0.854482,0.698311,0.865116] average_cost 0 kappa 0.3813131313131313 kb_relative_information_score 849.0410487987577 mean_absolute_error 0.014473941355996967 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 0.3875 prior_entropy 6.6438561897747395 recall 0.3875 [0.3125,0.625,0.5625,0.75,0.5625,0.3125,0.5,0.375,0.3125,1,0.4375,0.5,0.5625,0.0625,0.25,0.375,0.8125,0.25,0,0.25,0.625,0.0625,0.5625,0.8125,0.5625,0,0,0.1875,0.5,0.5,0.375,0.6875,0.5625,0.5,0.4375,0.25,0.5,0.1875,0.125,0.5,0.5625,0.5625,0.75,0.1875,0.25,0.6875,0.625,0.8125,0.5625,0.5625,0.3125,0.25,0.3125,0.3125,0.1875,0.0625,1,0.5,0,0.25,0.5625,0.6875,0.375,0.3125,0.5,0.5,0.1875,0.0625,0.125,0.0625,0.0625,0.5625,0.25,0.1875,0.1875,0,0.6875,0,0.875,0,0,0.625,0.3125,0.6875,0.4375,0.125,0.8125,0.375,0.4375,0.625,0.75,0.125,0.0625,0,0.3125,0.5,0.3125,0,0,0.5625] relative_absolute_error 0.7310071391917647 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.09044457559018272 root_relative_squared_error 0.9090021865320383 total_cost 0 area_under_roc_curve 0.856183574158108 [0.943396,0.993671,1,0.990566,0.481013,0.984277,0.742089,0.993711,0.474684,0.993711,0.481013,0.740506,0.993671,0.971519,0.996835,0.45283,0.738924,0.721519,0.700949,0.459119,0.468553,0.946541,0.993711,1,0.959119,0.954114,0.458861,0.968354,0.735759,0.937107,0.727848,0.985759,0.72943,0.718354,0.977848,0.471698,0.996855,0.990566,0.990566,0.745253,1,0.996855,1,0.71519,0.981013,0.996835,0.990566,1,1,0.737342,0.949367,0.996835,0.974843,0.96519,0.993711,0.993711,1,0.993711,0.965409,0.996835,0.996855,0.993711,0.981013,0.732595,0.993711,0.740506,0.724684,0.924528,0.893082,0.949686,0.726266,1,0.493671,0.996835,0.981132,0.966772,0.992089,0.988924,0.993671,0.993671,0.996835,0.993671,0.993711,0.996855,0.976266,0.919304,0.746835,0.996835,0.977848,0.487421,0.990506,0.993711,0.732595,0.732595,0.46519,0.737342,1,0.710443,0.471519,0.993711] area_under_roc_curve 0.8743797766897536 [0.993711,0.990506,0.984177,1,1,0.946541,0.990506,0.996855,0.996835,1,0.992089,0.740506,0.993671,0.988924,0.968354,0.990566,0.75,0.724684,0.988924,0.981132,0.996855,0.462264,0.977987,1,1,0.696203,0.69462,0.455696,0.984177,0.965409,0.998418,0.996835,0.985759,0.731013,0.984177,0.987421,0.484277,0.984277,0.95283,0.996835,1,0.993711,0.996835,0.746835,0.481013,0.936709,1,0.996855,0.985759,0.993671,1,0.731013,0.981132,0.950949,0.977987,0.924528,1,0.996855,0.993711,0.705696,0.977987,0.481132,0.990506,0.724684,0.993711,0.738924,0.973101,0.474843,0.421384,0.471698,0.96519,1,0.996835,0.745253,0.449686,0.716772,0.746835,0.713608,1,0.971519,0.449367,0.974684,0.940252,0.993711,0.957278,0.941456,0.996835,0.723101,0.996835,0.490566,0.748418,0.996855,0.710443,0.990506,0.746835,0.985759,0.90566,0.72943,0.96519,0.996855] area_under_roc_curve 0.8504877448053497 [0.710443,0.743671,0.734177,0.993711,1,0.731013,0.477987,0.993671,0.97943,0.996835,0.993671,0.976266,0.987421,0.981013,0.746835,0.996835,0.996835,0.71519,0.927673,0.462025,0.996855,0.993711,1,0.993711,0.996855,0.704114,0.987342,0.45283,0.990506,1,0.484277,1,0.696203,0.732595,0.993711,0.987421,0.996855,0.446541,1,0.96519,0.985759,0.965409,1,0.993711,0.976266,0.987421,0.746835,0.996855,0.724684,0.740506,0.988924,0.996855,0.927673,0.996835,0.943396,0.933544,1,0.993671,0.477987,0.732595,0.993711,0.987421,0.990506,0.981132,0.484177,0.734177,0.996835,0.96519,0.990566,0.713608,0.699367,0.990506,0.977987,0.712025,0.45283,0.727848,0.993671,0.724684,0.496835,0.993671,0.943396,0.996835,0.481013,0.996835,0.462264,0.990566,1,0.72943,0.995253,0.996855,0.740506,1,0.443396,0.712025,0.984177,0.987421,0.713608,0.732595,0.443396,0.745253] area_under_roc_curve 0.8462894823262479 [0.72943,0.984177,0.971519,0.993711,0.987342,0.743671,1,0.746835,0.737342,1,0.735759,0.72943,0.993711,0.721519,0.993671,0.962025,1,0.985759,0.959119,0.993671,1,0.993711,1,1,0.484277,0.960443,0.455696,0.943396,0.990506,0.996835,0.984277,0.484177,0.996835,0.943038,0.468553,0.996855,0.996855,0.462264,0.996855,0.993671,0.985759,0.993711,0.990566,1,0.734177,0.481132,0.740506,0.990566,0.996835,0.5,0.960443,0.968553,0.5,0.46519,0.993711,0.72943,1,0.740506,0.987421,0.700949,0.968553,0.5,0.981013,0.455975,0.984177,0.996835,0.718354,0.697785,0.968553,0.974684,0.43038,0.75,0.993711,0.984177,0.984277,0.726266,0.734177,0.702532,0.990506,0.990506,0.481132,0.981013,0.721519,0.990506,0.949686,0.927673,1,0.734177,0.936709,1,0.993671,0.990566,0.990566,0.966772,0.721519,0.477987,0.732595,0.976266,0.433962,0.738924] area_under_roc_curve 0.8529013414537057 [0.72943,0.949686,1,0.993671,1,0.949367,0.968553,0.724684,0.477987,1,0.731013,0.713608,0.481132,0.45283,0.993711,0.5,1,0.993671,0.915094,0.957278,0.987342,0.966772,0.992089,0.746835,0.976266,0.458861,0.924051,0.977987,1,0.996835,0.971698,0.465409,0.993671,0.474684,0.984277,1,0.981013,0.737342,0.743671,1,0.742089,1,0.996855,0.465409,0.968553,0.990566,0.996835,0.995253,0.938291,0.996835,0.927673,0.487421,0.737342,0.946541,0.742089,0.707278,0.996855,0.96519,0.993671,0.471698,0.734177,0.993671,0.987421,0.996855,0.985759,0.996835,0.474843,0.935127,0.708861,0.955696,0.981013,0.996835,0.993711,0.996855,0.71519,0.937107,0.985759,0.71519,0.996835,0.993711,1,0.996835,0.462025,0.738924,0.484277,0.468553,1,1,0.993671,0.996835,0.996855,0.490506,0.484277,0.993711,0.471519,0.477987,0.969937,0.984277,0.993711,0.746835] area_under_roc_curve 0.8669410775415969 [0.471519,0.962264,0.990506,1,0.993711,0.974684,0.990566,0.920886,0.993711,1,0.987342,0.734177,0.974843,0.984277,0.981132,1,0.987342,0.724684,0.984277,0.950949,0.988924,0.658228,0.984177,0.743671,0.990506,0.974684,0.677215,0.996855,0.493711,0.721519,0.981132,0.993711,0.737342,0.990506,0.493711,0.732595,0.702532,0.97943,0.474684,0.94462,0.993671,0.746835,0.493711,0.996855,0.987421,1,0.993671,0.746835,0.990506,0.737342,0.984277,0.974843,0.723101,0.990566,0.993671,0.72943,1,0.743671,0.984177,0.996855,0.981013,0.977848,0.993711,1,1,0.72943,0.462264,0.996835,0.667722,0.988924,0.704114,0.985759,0.993711,0.965409,0.737342,0.468553,0.996835,0.439873,0.996835,0.993711,0.993711,0.740506,0.718354,0.993671,0.918239,0.971698,0.993711,0.946541,0.490506,0.996835,0.996855,0.72943,0.443396,0.946541,0.987342,0.968553,0.996835,0.984277,0.940252,0.958861] area_under_roc_curve 0.8755022987819439 [0.992089,0.965409,0.45283,0.742089,0.996855,0.996835,0.981013,0.737342,0.993711,1,1,0.996855,0.996835,0.990566,0.996855,0.446203,0.493711,0.996855,0.938291,0.712025,0.46519,0.639241,0.726266,0.996835,0.981013,0.449686,0.946541,0.973101,0.933962,0.996835,0.745253,0.487421,1,0.990566,0.996835,0.993671,0.996835,0.984177,1,0.481132,0.742089,0.72943,1,0.977848,0.990566,0.990506,0.481013,0.990506,1,0.996855,0.474843,0.966772,0.995253,0.984277,0.960443,0.958861,1,1,0.988924,0.993711,0.996835,1,1,0.713608,0.726266,0.990566,0.477987,0.962025,0.981013,0.71519,0.933962,1,0.710443,0.993711,0.998418,0.45283,0.990566,0.993711,0.990566,0.990566,0.726266,0.996855,0.72943,0.996835,0.990506,0.952532,1,0.496855,0.971698,0.996835,1,0.990506,0.468354,0.446541,0.971698,0.734177,0.996835,0.990566,0.689873,0.993671] area_under_roc_curve 0.8490492645888066 [1,0.996855,0.996855,0.745253,0.481132,0.740506,0.990506,0.988924,0.996855,1,0.468553,1,0.996835,0.446541,0.490566,0.727848,1,0.465409,0.950949,0.946203,0.982595,0.462025,0.724684,0.996835,0.984177,0.886792,0.990566,0.990506,0.496855,0.732595,0.987342,0.993711,1,0.993711,0.738924,0.992089,0.471519,0.969937,0.738924,0.993711,0.724684,0.996835,0.993671,0.738924,1,0.996835,1,0.993671,0.484277,0.981132,0.971698,0.984177,0.984177,0.996855,0.984177,0.716772,1,0.996835,0.734177,0.459119,0.990506,0.993671,0.987421,0.738924,0.996835,0.481132,0.949686,0.981013,0.71519,0.721519,0.836478,0.996835,0.700949,0.987421,0.443038,0.993711,0.996855,0.440252,0.996855,0.996855,0.721519,0.477987,0.950949,0.996835,0.716772,0.732595,0.990506,0.937107,0.996855,0.724684,0.484277,0.993671,0.992089,0.465409,0.949686,0.731013,0.952532,0.465409,0.436709,0.984177] area_under_roc_curve 0.8563636951675819 [0.974843,0.740506,0.990566,0.993671,0.484177,0.996855,0.732595,0.993711,0.731013,1,0.977987,1,0.993671,0.993671,0.982595,0.462264,1,0.993711,0.481013,0.996855,1,0.968354,0.965409,0.75,0.742089,0.465409,0.427673,0.992089,0.748418,0.996855,0.985759,1,0.955975,0.987421,0.987342,0.971519,0.974684,0.69462,0.727848,0.484277,1,0.738924,0.742089,0.955696,0.731013,0.746835,0.993711,0.990506,0.974843,0.990566,0.958861,0.737342,0.990506,0.72943,0.723101,0.933962,1,0.959119,0.996835,0.477848,0.481013,0.75,0.996835,0.724684,0.484277,0.996855,0.723101,0.930818,0.917722,0.990566,0.968553,0.974843,0.992089,0.484177,0.716772,0.977848,0.996855,0.930818,0.996855,0.738924,0.984177,0.993711,0.474843,0.987421,0.993671,0.947785,0.996835,0.735759,0.474843,1,0.984177,0.990506,0.996835,0.712025,0.946541,0.993671,0.984277,0.990506,0.922468,0.471698] area_under_roc_curve 0.8733550274659656 [0.45283,0.984177,0.471698,0.745253,0.993671,0.993711,0.723101,0.481132,0.742089,1,0.993711,0.993711,0.984177,0.974684,0.742089,0.996855,0.996855,0.949686,0.969937,1,0.743671,0.974684,1,0.993671,0.990506,0.880503,0.471698,0.993671,0.984177,0.446541,0.996835,0.996835,0.996855,0.993711,0.981013,0.987342,0.740506,0.723101,0.474684,0.996855,0.490566,0.439873,0.746835,0.969937,0.993671,0.735759,0.984277,0.737342,0.962264,0.977987,0.94462,0.974684,0.734177,0.971519,0.987342,0.984277,0.996835,0.481132,0.988924,1,0.996835,0.996835,0.493671,0.955696,0.987421,0.981132,0.984177,0.943396,0.471519,0.955975,0.902516,0.996855,0.726266,0.734177,0.97943,0.990506,1,0.449686,0.993711,0.988924,0.925633,0.968553,0.987421,0.490566,0.993671,0.966772,0.496835,0.974684,0.996855,0.946203,0.987342,0.990506,0.94462,0.917722,1,1,0.437107,0.996835,0.705696,0.996855] 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 0.38123988792865315 kappa 0.39396330637206556 kappa 0.38755376662325874 kappa 0.35588270118798593 kappa 0.3872394188250158 kappa 0.3684376726928239 kappa 0.43782076589024865 kappa 0.3808245142947401 kappa 0.3435897435897436 kappa 0.37499999999999994 kb_relative_information_score 84.04738058438285 kb_relative_information_score 87.40314521977196 kb_relative_information_score 83.99886929903673 kb_relative_information_score 82.24482186013472 kb_relative_information_score 84.46501356946388 kb_relative_information_score 83.14348193505826 kb_relative_information_score 91.7548113117568 kb_relative_information_score 84.72900302942409 kb_relative_information_score 82.35608837401307 kb_relative_information_score 84.89843361572258 mean_absolute_error 0.014505541163438208 mean_absolute_error 0.014232248901481037 mean_absolute_error 0.014524010378371047 mean_absolute_error 0.014759695917820295 mean_absolute_error 0.014234368339256728 mean_absolute_error 0.014859524332113998 mean_absolute_error 0.0137657096894021 mean_absolute_error 0.01446960970412535 mean_absolute_error 0.014719154015438852 mean_absolute_error 0.014669551118522542 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 0.3875 predictive_accuracy 0.4 predictive_accuracy 0.39375 predictive_accuracy 0.3625 predictive_accuracy 0.39375 predictive_accuracy 0.375 predictive_accuracy 0.44375 predictive_accuracy 0.3875 predictive_accuracy 0.35 predictive_accuracy 0.38125 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 0.3875 [0,1,1,1,0,0,0.5,1,0,1,0,0.5,1,0,0.5,0,0.5,0,0,0,0,0,1,1,0,0,0,0.5,0.5,0,0.5,0.5,0,0,0.5,0,1,1,0,0.5,1,1,1,0,0,1,1,1,1,0.5,0,0,0,0,1,0,1,1,0,0,1,0,0,0.5,1,0,0,0,0,0,0.5,1,0,1,0,0,0.5,0,1,0,0,1,1,1,0.5,0,0.5,1,0,0,1,1,0,0,0,0.5,1,0,0,1] recall 0.4 [0,1,0.5,1,1,0,1,1,1,1,0.5,0.5,0.5,0,0,1,0.5,0,0,1,1,0,0,1,1,0,0,0,1,1,0.5,1,0.5,0.5,0,0,0,0,0,1,1,1,1,0.5,0,0,1,1,0.5,1,1,0,1,0,0,0,1,1,0,0,0,0,0,0,0,0.5,0.5,0,0,0,0,1,0,0.5,0,0,0.5,0,1,0,0,0.5,0,1,0,0,1,0.5,1,0,0.5,0,0,0,0.5,0,0,0,0,1] recall 0.39375 [0,0.5,0.5,1,1,0,0,0.5,0.5,1,1,0.5,0,0.5,0.5,1,1,0,0,0,1,0,1,1,1,0,0,0,0,1,0,1,0,0.5,1,0,1,0,0,0,0.5,0,1,0,0,1,0.5,1,0.5,0.5,0.5,1,0,1,0,0,1,1,0,0.5,1,1,1,0,0,0.5,0.5,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0.5,0,0,0,0,1,0.5,0.5,1,0.5,1,0,0,0.5,1,0,0,0,0.5] recall 0.3625 [0.5,1,0.5,0,0,0.5,1,0.5,0,1,0.5,0,1,0,0,0,1,0.5,0,1,1,0,1,1,0,0,0,0,1,0,0,0,1,0,0,1,1,0,0,1,0.5,1,1,1,0.5,0,0.5,1,1,0,0,0,0,0,1,0.5,1,0.5,0,0,0,0,0,0,0,1,0,0,0,0,0,0.5,1,0,1,0,0,0,1,0,0,0.5,0,1,0,0,1,0.5,0,1,1,0,0,0,0.5,0,0,0,0,0.5] recall 0.39375 [0.5,0,1,1,1,0,0,0,0,1,0.5,0,0,0,1,0,1,0.5,0,0,1,0.5,0.5,0.5,0.5,0,0,0,1,0.5,0,0,1,0,1,0.5,0.5,0,0.5,1,0.5,1,1,0,0,1,1,0.5,0,1,0,0,0.5,0,0,0,1,0,0,0,0,1,0,1,0.5,1,0,0,0,0,0,1,1,0,0,0,0.5,0,1,0,0,1,0,0.5,0,0,1,0,1,1,1,0,0,0,0,0,0,0,0,0.5] recall 0.375 [0,0,0,1,1,0.5,1,0,1,1,0,0.5,0,0,0,1,1,0.5,0,0,0.5,0,1,0.5,0,0,0,1,0,0,0,1,0.5,1,0,0,0,0,0,0,1,0.5,0,1,0,1,0.5,0.5,1,0.5,0,0,0,1,0,0,1,0.5,0,0,1,0.5,1,1,1,0,0,0,0,0,0,0,1,0,0.5,0,1,0,1,0,0,0.5,0.5,1,0,0,1,0,0,1,1,0,0,0,0.5,0,1,0,0,0] recall 0.44375 [0.5,0,0,0.5,1,0,0.5,0,1,1,1,1,0.5,0,0,0,0,1,0,0,0,0,0,1,0.5,0,0,0,0,1,0.5,0,1,1,1,1,1,0.5,0,0,0.5,0,1,0,0,1,0,1,1,1,0,0.5,0.5,0,0,0,1,1,0,1,1,1,1,0,0.5,1,0,0,1,0,0,1,0,0,0,0,1,0,1,0,0,1,0.5,1,1,0,1,0,0,1,1,0,0,0,0,0.5,1,0,0,1] recall 0.3875 [1,1,1,0.5,0,0.5,0,0.5,0,1,0,1,1,0,0,0.5,1,0,0,0,0.5,0,0,1,1,0,0,0,0,0.5,0,1,1,1,0.5,0,0,0.5,0.5,0,0,1,1,0,1,1,1,1,0,0,0,0,1,0,0,0,1,0,0,0,0.5,1,0,0.5,1,0,0,0.5,0,0,0,1,0,0,0,0,1,0,1,0,0,0,0.5,1,0,0.5,1,0,1,0,0,0,0.5,0,0,0.5,0,0,0,0.5] recall 0.35 [0,0.5,1,1,0,1,0.5,1,0,1,0,1,0,0,0,0,1,0,0,1,1,0,0,0.5,0.5,0,0,0,0.5,1,0.5,1,0,1,0,0,0.5,0,0,0,1,0.5,0.5,0,0,0.5,1,1,0,1,0.5,0.5,0,0.5,0,0,1,0,0,0,0,0.5,1,0.5,0,1,0,0,0,1,0,0,0.5,0,0,0,1,0,1,0,0,1,0,0,1,0,1,0.5,0,1,1,0,0,0,0,1,0,0,0,0] recall 0.38125 [0,0.5,0,0.5,1,1,0.5,0,0,1,1,1,1,0,0.5,0,1,0,0,0,0.5,0,1,1,1,0,0,0.5,0.5,0,1,1,1,1,0.5,0,0.5,0,0,1,0,0,0,0,1,0.5,0,0.5,0,0,0.5,0.5,0,0.5,0.5,0,1,0,0,1,1,1,0,0,1,0,0.5,0,0,0,0,0,0,0,0.5,0,1,0,1,0,0,0,1,0,1,0.5,0,0,1,0,0.5,0,0,0,1,1,0,0,0,1] relative_absolute_error 0.7326030890625345 relative_absolute_error 0.7188004495697481 relative_absolute_error 0.7335358776955061 relative_absolute_error 0.7454391877687006 relative_absolute_error 0.7189074918816517 relative_absolute_error 0.7504810268744432 relative_absolute_error 0.695237863101115 relative_absolute_error 0.7307883688952185 relative_absolute_error 0.7433916169413548 relative_absolute_error 0.7408864201273998 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 0.09150719038881029 root_mean_squared_error 0.0887964196050244 root_mean_squared_error 0.09048305835157681 root_mean_squared_error 0.0911880736081574 root_mean_squared_error 0.09022449841430288 root_mean_squared_error 0.0920893451331633 root_mean_squared_error 0.08634764419794277 root_mean_squared_error 0.08956963749867518 root_mean_squared_error 0.09216842992003431 root_mean_squared_error 0.09190664392232736 root_relative_squared_error 0.9196818670887861 root_relative_squared_error 0.8924375956267393 root_relative_squared_error 0.9093889528364051 root_relative_squared_error 0.9164746227683868 root_relative_squared_error 0.9067903276916917 root_relative_squared_error 0.9255327424128594 root_relative_squared_error 0.8678264767748014 root_relative_squared_error 0.9002087278522803 root_relative_squared_error 0.9263275744270301 root_relative_squared_error 0.9236965261550218 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 72.18280799997956 usercpu_time_millis 55.30175000001236 usercpu_time_millis 59.66055600003983 usercpu_time_millis 58.12971800003197 usercpu_time_millis 56.4552339999409 usercpu_time_millis 52.2237769999947 usercpu_time_millis 41.581414999996014 usercpu_time_millis 40.57835900005102 usercpu_time_millis 41.71767400009685 usercpu_time_millis 40.34842999999455 usercpu_time_millis_testing 1.9165769999744953 usercpu_time_millis_testing 1.7410420000487647 usercpu_time_millis_testing 1.7304000000422093 usercpu_time_millis_testing 1.7345320000003994 usercpu_time_millis_testing 1.7382209999823317 usercpu_time_millis_testing 1.3112579999869922 usercpu_time_millis_testing 1.255432999982986 usercpu_time_millis_testing 1.2721450000299228 usercpu_time_millis_testing 1.733720000061112 usercpu_time_millis_testing 1.2553230000094118 usercpu_time_millis_training 70.26623100000506 usercpu_time_millis_training 53.5607079999636 usercpu_time_millis_training 57.93015599999762 usercpu_time_millis_training 56.39518600003157 usercpu_time_millis_training 54.71701299995857 usercpu_time_millis_training 50.912519000007705 usercpu_time_millis_training 40.32598200001303 usercpu_time_millis_training 39.3062140000211 usercpu_time_millis_training 39.98395400003574 usercpu_time_millis_training 39.09310699998514