6008538 1 Jan van Rijn 9954 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4043239 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.6540382807559095 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 18 6902 min_samples_split 4 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 58544 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 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 false 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 1491 one-hundred-plants-margin https://www.openml.org/data/download/1592283/phpCsX3fx -1 12940211 description https://api.openml.org/data/download/12940211/description.xml -1 12940212 predictions https://api.openml.org/data/download/12940212/predictions.arff area_under_roc_curve 0.9870432844065659 [0.972735,0.995344,0.99637,0.99925,0.998856,0.992148,0.994515,0.992306,0.992937,0.99854,0.989781,0.995226,0.997514,0.969658,0.994397,0.990451,0.99858,0.972262,0.977115,0.969697,0.998737,0.996173,0.991556,0.999724,0.994831,0.951034,0.965002,0.98836,0.992109,0.996291,0.993687,0.994121,0.990175,0.983941,0.996291,0.992622,0.985243,0.971236,0.990491,0.995265,0.996646,0.995423,0.995975,0.989702,0.99199,0.99779,0.990412,0.993095,0.98982,0.986979,0.990017,0.988636,0.989504,0.977115,0.986229,0.975379,0.998856,0.980784,0.985401,0.96583,0.999566,0.995423,0.949179,0.99057,0.991911,0.992582,0.968789,0.979877,0.947956,0.976444,0.965554,0.996469,0.980784,0.995068,0.958767,0.986427,0.995739,0.969697,0.997554,0.992109,0.975931,0.987532,0.99349,0.994081,0.989307,0.992266,0.999171,0.983744,0.992819,0.998382,0.994673,0.995739,0.986466,0.972696,0.981574,0.990885,0.987808,0.981889,0.961569,0.993687] average_cost 0 kappa 0.5492424242424242 kb_relative_information_score 1016.0112739711581 mean_absolute_error 0.015121903500502696 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 0.55375 prior_entropy 6.6438561897747395 recall 0.55375 [0.25,0.8125,0.875,0.875,0.9375,0.375,0.6875,0.5,0.5625,0.9375,0.5,0.875,0.875,0.125,0.75,0.5625,0.9375,0.4375,0.1875,0.125,0.9375,0.5,0.375,1,0.625,0,0.0625,0.3125,0.75,0.6875,0.75,0.875,0.75,0.4375,0.75,0.5625,0.625,0.375,0.3125,0.75,0.8125,0.8125,0.8125,0.3125,0.375,0.875,0.8125,0.5625,0.6875,0.75,0.75,0.625,0.5625,0.125,0.75,0.125,0.875,0.6875,0,0.3125,1,0.9375,0.5,0.75,0.6875,0.6875,0.1875,0.1875,0,0.1875,0,0.5625,0.4375,0.625,0.25,0,0.875,0.125,0.9375,0.3125,0.0625,0.625,0.5,0.8125,0.625,0.5625,0.875,0.5625,0.6875,0.875,0.6875,0.75,0.3125,0.0625,0.5,0.625,0.4375,0.125,0.25,0.9375] relative_absolute_error 0.7637325000253873 root_mean_prior_squared_error 0.09949874371066209 root_mean_squared_error 0.08242970200958241 root_relative_squared_error 0.8284496762017852 total_cost 0 area_under_roc_curve 0.9853333233818965 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[0.874214,1,0.962264,1,1,0.993711,1,0.955975,0.996835,1,1,1,0.996835,0.984177,1,0.987421,1,0.962264,0.987342,1,1,1,1,1,1,0.867925,0.987421,0.990506,0.993671,1,1,0.993671,1,0.993711,0.987342,0.993671,0.974684,0.987342,0.968354,1,0.993711,1,0.987342,0.990506,0.993671,1,1,0.981013,0.993711,0.993711,0.974684,0.996835,0.993671,0.971519,1,0.949686,1,0.849057,0.993671,0.984177,1,1,0.724684,0.981013,1,1,0.993671,0.962264,0.958861,0.968553,0.937107,1,0.955696,1,0.939873,0.990506,1,0.987421,0.987421,0.993671,0.996835,0.987421,1,0.968553,0.996835,0.987342,0.990506,0.987342,1,0.996835,0.996835,0.996835,0.984177,0.996835,1,1,0.930818,1,0.990506,1] 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 0.5137353962740765 kappa 0.6022256422398484 kappa 0.5516792296460002 kappa 0.5578889195910472 kappa 0.5894034505902326 kappa 0.5328098488734562 kappa 0.5704867553590461 kappa 0.6146557169930512 kappa 0.4759273875295975 kappa 0.4823028055084244 kb_relative_information_score 99.40970988757772 kb_relative_information_score 101.68591978942057 kb_relative_information_score 102.05252383273961 kb_relative_information_score 101.69255222370144 kb_relative_information_score 100.7512163673193 kb_relative_information_score 102.87624750490033 kb_relative_information_score 104.39965380830319 kb_relative_information_score 102.52645146360003 kb_relative_information_score 100.98306983311176 kb_relative_information_score 99.63392926048544 mean_absolute_error 0.015305768388454669 mean_absolute_error 0.015015444387213256 mean_absolute_error 0.014946866838861322 mean_absolute_error 0.015280277950832236 mean_absolute_error 0.01507615837624023 mean_absolute_error 0.015078881707729003 mean_absolute_error 0.014878507835077165 mean_absolute_error 0.015122876019632326 mean_absolute_error 0.015294084560182285 mean_absolute_error 0.015220168940804652 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 0.51875 predictive_accuracy 0.60625 predictive_accuracy 0.55625 predictive_accuracy 0.5625 predictive_accuracy 0.59375 predictive_accuracy 0.5375 predictive_accuracy 0.575 predictive_accuracy 0.61875 predictive_accuracy 0.48125 predictive_accuracy 0.4875 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 0.51875 [1,0.5,1,1,0.5,1,0.5,1,0,1,0,0.5,0.5,0,0.5,0,1,0,0,0,1,0,0,1,0,0,0,1,0.5,0,0.5,1,0.5,0,0.5,0,1,1,0,0.5,1,1,1,0,0,1,1,1,1,0.5,1,0.5,1,0,1,0,1,1,0,0,1,1,0.5,0.5,1,1,0,0,0,1,0,1,0,1,0,0,1,0.5,1,0,0,1,0,1,0.5,0.5,1,1,0.5,0,1,1,1,0.5,0.5,0.5,1,0,0,1] recall 0.60625 [0,1,1,1,1,1,0.5,1,0.5,1,1,1,1,0,1,1,0.5,0,0,1,1,1,1,1,1,0,0,0,1,1,1,1,0.5,0,0.5,0,0,1,0,1,1,1,1,0,1,1,1,1,1,1,1,0,1,0,1,0,1,1,0,0.5,1,1,1,0.5,1,0,0,1,0,0,0,1,1,0.5,0,0,0.5,0.5,1,0,0,0.5,0,1,0.5,0.5,0.5,1,1,1,0.5,1,0.5,0,1,1,0,0.5,0.5,1] recall 0.55625 [0,1,1,1,1,0,1,0,1,1,1,1,1,0.5,1,1,1,0,0,0,1,0,0,1,1,0,0,1,1,1,0,1,0.5,0,1,1,1,0,1,1,0.5,1,1,1,0,1,0.5,1,0.5,1,1,1,1,0,1,0,1,1,0,0.5,1,1,0.5,1,0,0.5,0.5,0,0,0,0,1,0,0,0,0,1,0,0.5,0.5,0,1,0,0.5,1,1,1,0.5,1,1,0.5,1,0,0,1,1,0,0.5,0,0.5] recall 0.5625 [0,1,1,1,1,0,1,0.5,0.5,1,0.5,1,1,0,1,0.5,1,1,0,0,1,1,0.5,1,0,0,0,0,1,0.5,1,1,1,0.5,1,1,1,1,1,1,0.5,1,1,1,0.5,1,0.5,1,0.5,0,1,1,0,0,1,0.5,1,0.5,0,0.5,1,0,0.5,1,1,1,0,0.5,0,0,0,0.5,0,0.5,0,0,0.5,0,1,0.5,0,0.5,1,1,1,0,1,1,0.5,1,0.5,1,0,0,0.5,0,0,0,0,1] recall 0.59375 [0,0,1,1,1,1,0,0.5,1,1,0.5,0.5,1,0,1,1,1,0.5,0,0,1,1,0.5,1,0,0,0,0,1,0.5,1,0,1,0.5,1,0.5,1,0,0.5,1,1,1,1,1,1,1,1,0.5,0.5,1,1,0,0.5,0,0.5,0,1,0.5,0,1,1,1,1,1,0.5,1,0,0,0,0.5,0,1,1,1,0.5,0,1,0,1,1,1,1,0.5,1,0,0,1,0,1,1,1,0,0,0,0,0,0.5,0,0,1] recall 0.5375 [0,1,1,1,1,0,1,0,1,0.5,0,1,0,0,1,1,1,0.5,0,0,1,0.5,0.5,1,1,0,0.5,0,0,1,1,1,0.5,0.5,1,0.5,0.5,0.5,0,0,1,0.5,0,1,1,1,1,0,0.5,0.5,1,1,0.5,0,0.5,0,1,1,0,1,1,1,0,1,0.5,0.5,1,0,0,0,0,0,1,1,0.5,0,1,0,1,0,0,0.5,0.5,1,0,1,1,1,0,1,1,0.5,0,0,0.5,1,1,0,0,1] recall 0.575 [0.5,0,0,0.5,1,0,0.5,1,1,1,1,1,1,0,1,0,1,1,0.5,0,1,0,0,1,0.5,0,0,0,0,1,0.5,0,1,1,1,1,0.5,1,0,1,0.5,0.5,1,0.5,0,0.5,0.5,0.5,1,1,0,1,1,0,0.5,0,0.5,0.5,0,0,1,1,1,1,0.5,1,0,0.5,0,0,0,0.5,1,1,0.5,0,1,0,1,1,0,1,0.5,1,1,0.5,1,0,1,1,1,1,0.5,0,0,0.5,1,0,0.5,1] recall 0.61875 [1,1,1,0.5,1,0.5,1,1,1,1,0,1,1,0,0,0.5,1,1,0,0,1,0.5,0.5,1,1,0,0,0.5,0,0.5,1,1,1,1,1,1,1,0,0.5,1,1,1,1,0,0,1,1,0.5,1,1,0,0.5,0.5,1,1,0.5,1,1,0,0,1,1,1,1,1,0,1,0,0,0.5,0,0.5,0.5,1,0.5,0,1,0,1,1,0,0,0.5,1,0,0.5,1,0,0,1,0,0.5,0.5,0,1,0.5,0,0,0.5,1] recall 0.48125 [0,1,1,1,1,0,0.5,0,0,1,0,1,1,0.5,0.5,0,1,1,1,1,1,0,0,1,0.5,0,0,0.5,1,1,0.5,1,1,1,0.5,0.5,0,0,0.5,0,1,0.5,0.5,0,0,1,1,0.5,0,1,0.5,0.5,0.5,0.5,0.5,0,0.5,0,0,0,1,1,0,0.5,1,1,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,1,1,1,0.5,1,1,1,1,0,0,0,0.5,1,0,0,1] recall 0.4875 [0,1,0,1,1,1,1,0,0.5,1,1,1,1,0,0.5,0,1,0,0,0,0.5,1,1,1,1,0,0,0,1,0,1,1,1,1,0.5,0,0.5,0,0,1,1,1,0.5,0,0.5,0.5,1,0.5,1,1,0.5,1,0,0,1,0,1,0,0,0,1,1,0,0.5,1,1,0,0,0,0,0,0,0,1,0,0,1,0,1,0,0,0,1,0,1,0.5,0.5,0,1,0.5,0.5,1,0,0,0,1,0,0,0.5,1] relative_absolute_error 0.7730186054775072 relative_absolute_error 0.7583557771319813 relative_absolute_error 0.7548922645889543 relative_absolute_error 0.7717312096379904 relative_absolute_error 0.7614221402141517 relative_absolute_error 0.7615596822085342 relative_absolute_error 0.7514397896503605 relative_absolute_error 0.7637816171531465 relative_absolute_error 0.7724285131405182 relative_absolute_error 0.7686954010507389 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 0.08358096632451549 root_mean_squared_error 0.0817877632979495 root_mean_squared_error 0.08137312385612892 root_mean_squared_error 0.08312384248814765 root_mean_squared_error 0.08233359719803784 root_mean_squared_error 0.0819778623479082 root_mean_squared_error 0.08116432286264476 root_mean_squared_error 0.08184233684287895 root_mean_squared_error 0.0834891353360484 root_mean_squared_error 0.08357595846442877 root_relative_squared_error 0.8400203179204477 root_relative_squared_error 0.8219979493990869 root_relative_squared_error 0.8178306662118103 root_relative_squared_error 0.8354260505023874 root_relative_squared_error 0.8274837865034789 root_relative_squared_error 0.8239085167376203 root_relative_squared_error 0.8157321372686576 root_relative_squared_error 0.8225464341627553 root_relative_squared_error 0.8390973817602272 root_relative_squared_error 0.8399699870328409 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 2505.0165469999683 usercpu_time_millis 2337.3113540001214 usercpu_time_millis 2423.7208449999343 usercpu_time_millis 2395.5721079998966 usercpu_time_millis 2338.8145310000255 usercpu_time_millis 2359.467243999916 usercpu_time_millis 2255.455349000158 usercpu_time_millis 2239.1252470001746 usercpu_time_millis 2360.9007370000654 usercpu_time_millis 2384.7109960001944 usercpu_time_millis_testing 34.3411510000351 usercpu_time_millis_testing 32.907971999975416 usercpu_time_millis_testing 32.804476999899634 usercpu_time_millis_testing 32.897318999857816 usercpu_time_millis_testing 32.90960100002849 usercpu_time_millis_testing 32.788561999950616 usercpu_time_millis_testing 32.56884200004606 usercpu_time_millis_testing 32.6305720000164 usercpu_time_millis_testing 32.85388600011174 usercpu_time_millis_testing 33.21381800014933 usercpu_time_millis_training 2470.6753959999332 usercpu_time_millis_training 2304.403382000146 usercpu_time_millis_training 2390.9163680000347 usercpu_time_millis_training 2362.674789000039 usercpu_time_millis_training 2305.904929999997 usercpu_time_millis_training 2326.678681999965 usercpu_time_millis_training 2222.886507000112 usercpu_time_millis_training 2206.494675000158 usercpu_time_millis_training 2328.0468509999537 usercpu_time_millis_training 2351.497178000045