6032907 1 Jan van Rijn 14 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) 4067591 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.3290719386778439 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 1 6902 min_samples_split 6 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 51248 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 true 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 12988875 description https://api.openml.org/data/download/12988875/description.xml -1 12988876 predictions https://api.openml.org/data/download/12988876/predictions.arff area_under_roc_curve 0.9833575000000001 [1,0.977906,0.996964,0.993764,0.980738,0.994789,0.94821,0.993003,0.999606,0.948597] average_cost 0 f_measure 0.8405217370475565 [0.995025,0.817259,0.952381,0.904523,0.828125,0.921569,0.558824,0.901205,0.972152,0.554156] kappa 0.8227777777777778 kb_relative_information_score 1611.9293302139006 mean_absolute_error 0.05692588333333206 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.841267266825443 [0.990099,0.829897,0.954774,0.909091,0.86413,0.903846,0.548077,0.869767,0.984615,0.558376] predictive_accuracy 0.8405 prior_entropy 3.321928094887362 recall 0.8405 [1,0.805,0.95,0.9,0.795,0.94,0.57,0.935,0.96,0.55] relative_absolute_error 0.3162549074073906 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1535257976421789 root_relative_squared_error 0.5117526588072552 total_cost 0 area_under_roc_curve 0.9835833333333334 [1,0.984167,0.995556,0.996667,0.986944,1,0.926667,0.994444,1,0.951389] area_under_roc_curve 0.9826527777777778 [1,0.969861,0.997778,0.991944,0.985556,0.992222,0.9475,0.989722,0.999167,0.952778] area_under_roc_curve 0.978125 [1,0.986944,1,0.971944,0.9875,0.986944,0.912361,0.991389,1,0.944167] area_under_roc_curve 0.9895 [1,0.985,0.994722,0.997222,0.992778,0.997778,0.975278,0.997222,1,0.955] area_under_roc_curve 0.9852777777777778 [1,0.976944,0.999722,0.995,0.991111,0.995,0.956111,0.992778,1,0.946111] area_under_roc_curve 0.9862777777777778 [1,0.983611,1,0.994722,0.992222,0.995278,0.954444,0.994722,1,0.947778] area_under_roc_curve 0.9830555555555555 [1,0.964306,0.992778,0.998611,0.980556,0.99,0.972222,0.988889,1,0.943194] area_under_roc_curve 0.9878888888888889 [1,0.976667,0.998333,0.997222,0.97,0.998611,0.968056,0.995278,0.998889,0.975833] area_under_roc_curve 0.980638888888889 [1,0.970556,1,0.998333,0.968333,0.995,0.9425,0.996944,1,0.934722] area_under_roc_curve 0.9771944444444445 [1,0.985972,0.991806,0.999444,0.951111,0.999722,0.919167,0.9925,0.996944,0.935278] 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 f_measure 0.8283488244977333 [1,0.829268,0.926829,0.947368,0.878049,1,0.378378,0.871795,0.97561,0.47619] f_measure 0.8241294041326879 [0.97561,0.842105,0.926829,0.9,0.756757,0.837209,0.578947,0.878049,0.974359,0.571429] f_measure 0.8165879815818616 [1,0.744186,0.947368,0.789474,0.842105,0.904762,0.461538,0.871795,1,0.604651] f_measure 0.8497642149661732 [1,0.820513,0.974359,0.904762,0.837209,0.9,0.651163,0.894737,0.974359,0.540541] f_measure 0.833362948540427 [1,0.736842,0.947368,0.904762,0.810811,0.952381,0.571429,0.883721,1,0.526316] f_measure 0.8740010044888094 [1,0.878049,1,0.864865,0.85,0.878049,0.7,0.952381,0.95,0.666667] f_measure 0.8425337695809678 [1,0.842105,0.947368,0.926829,0.789474,0.904762,0.651163,0.863636,1,0.5] f_measure 0.8702123692495966 [1,0.769231,0.97561,0.926829,0.842105,0.947368,0.681818,0.909091,0.947368,0.702703] f_measure 0.8553947711842449 [1,0.864865,1,0.952381,0.842105,0.923077,0.473684,0.952381,1,0.545455] f_measure 0.8071705492703423 [0.97561,0.85,0.883721,0.918919,0.823529,0.97561,0.409091,0.930233,0.894737,0.410256] kappa 0.8111111111111111 kappa 0.8055555555555555 kappa 0.7944444444444444 kappa 0.8333333333333333 kappa 0.8166666666666667 kappa 0.8611111111111112 kappa 0.8277777777777777 kappa 0.8555555555555555 kappa 0.8388888888888889 kappa 0.7833333333333334 kb_relative_information_score 160.51559637869101 kb_relative_information_score 159.49187633111023 kb_relative_information_score 157.84961970321154 kb_relative_information_score 164.18379356641148 kb_relative_information_score 160.35701013409746 kb_relative_information_score 163.1811413395079 kb_relative_information_score 161.93018758933425 kb_relative_information_score 163.5472450245139 kb_relative_information_score 163.68165775228852 kb_relative_information_score 157.19120239473895 mean_absolute_error 0.057867499999999905 mean_absolute_error 0.05853316666666515 mean_absolute_error 0.0597386666666611 mean_absolute_error 0.05461816666666741 mean_absolute_error 0.05908399999999848 mean_absolute_error 0.05474833333332876 mean_absolute_error 0.056355666666666186 mean_absolute_error 0.05504716666666905 mean_absolute_error 0.05405883333333414 mean_absolute_error 0.05920733333333054 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.8284856526342594 [1,0.809524,0.904762,1,0.857143,1,0.411765,0.894737,0.952381,0.454545] precision 0.826587836715714 [0.952381,0.888889,0.904762,0.9,0.823529,0.782609,0.611111,0.857143,1,0.545455] precision 0.8215149203707557 [1,0.695652,1,0.833333,0.888889,0.863636,0.473684,0.894737,1,0.565217] precision 0.8529725713182438 [1,0.842105,1,0.863636,0.782609,0.9,0.608696,0.944444,1,0.588235] precision 0.8359955049213361 [1,0.777778,1,0.863636,0.882353,0.909091,0.545455,0.826087,1,0.555556] precision 0.8748763620280647 [1,0.857143,1,0.941176,0.85,0.857143,0.7,0.909091,0.95,0.684211] precision 0.845348280946107 [1,0.888889,1,0.904762,0.833333,0.863636,0.608696,0.791667,1,0.5625] precision 0.8758544645928545 [1,0.789474,0.952381,0.904762,0.888889,1,0.625,0.833333,1,0.764706] precision 0.8595615598711573 [1,0.941176,1,0.909091,0.888889,0.947368,0.5,0.909091,1,0.5] precision 0.8190911154698342 [0.952381,0.85,0.826087,1,1,0.952381,0.375,0.869565,0.944444,0.421053] predictive_accuracy 0.83 predictive_accuracy 0.825 predictive_accuracy 0.815 predictive_accuracy 0.85 predictive_accuracy 0.835 predictive_accuracy 0.875 predictive_accuracy 0.845 predictive_accuracy 0.87 predictive_accuracy 0.855 predictive_accuracy 0.805 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.83 [1,0.85,0.95,0.9,0.9,1,0.35,0.85,1,0.5] recall 0.825 [1,0.8,0.95,0.9,0.7,0.9,0.55,0.9,0.95,0.6] recall 0.815 [1,0.8,0.9,0.75,0.8,0.95,0.45,0.85,1,0.65] recall 0.85 [1,0.8,0.95,0.95,0.9,0.9,0.7,0.85,0.95,0.5] recall 0.835 [1,0.7,0.9,0.95,0.75,1,0.6,0.95,1,0.5] recall 0.875 [1,0.9,1,0.8,0.85,0.9,0.7,1,0.95,0.65] recall 0.845 [1,0.8,0.9,0.95,0.75,0.95,0.7,0.95,1,0.45] recall 0.87 [1,0.75,1,0.95,0.8,0.9,0.75,1,0.9,0.65] recall 0.855 [1,0.8,1,1,0.8,0.9,0.45,1,1,0.6] recall 0.805 [1,0.85,0.95,0.85,0.7,1,0.45,1,0.85,0.4] relative_absolute_error 0.3214861111111109 relative_absolute_error 0.3251842592592512 relative_absolute_error 0.3318814814814509 relative_absolute_error 0.3034342592592637 relative_absolute_error 0.32824444444443635 relative_absolute_error 0.3041574074073823 relative_absolute_error 0.3130870370370347 relative_absolute_error 0.30581759259260616 relative_absolute_error 0.30032685185185665 relative_absolute_error 0.3289296296296145 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.15494366583805746 root_mean_squared_error 0.16035869870387348 root_mean_squared_error 0.16277873299870638 root_mean_squared_error 0.1451248115129501 root_mean_squared_error 0.15592751138127045 root_mean_squared_error 0.14791692985891325 root_mean_squared_error 0.15118063919255129 root_mean_squared_error 0.1474478758183253 root_mean_squared_error 0.14546247721587147 root_mean_squared_error 0.16270379767472684 root_relative_squared_error 0.5164788861268585 root_relative_squared_error 0.5345289956795786 root_relative_squared_error 0.5425957766623549 root_relative_squared_error 0.48374937170983395 root_relative_squared_error 0.5197583712709019 root_relative_squared_error 0.49305643286304446 root_relative_squared_error 0.5039354639751713 root_relative_squared_error 0.49149291939441797 root_relative_squared_error 0.48487492405290517 root_relative_squared_error 0.5423459922490897 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 6601.418985999771 usercpu_time_millis 6431.096337008057 usercpu_time_millis 6578.687373003049 usercpu_time_millis 6383.010885998374 usercpu_time_millis 6477.454141000635 usercpu_time_millis 6417.113514005905 usercpu_time_millis 6452.070049002941 usercpu_time_millis 6401.6966720009805 usercpu_time_millis 6439.506449998589 usercpu_time_millis 6539.639328002522 usercpu_time_millis_testing 20.55863900022814 usercpu_time_millis_testing 20.469433002290316 usercpu_time_millis_testing 20.481523002672475 usercpu_time_millis_testing 20.66060100332834 usercpu_time_millis_testing 20.395371997437906 usercpu_time_millis_testing 20.320717005233746 usercpu_time_millis_testing 20.409274999110494 usercpu_time_millis_testing 20.93897400482092 usercpu_time_millis_testing 20.357430999865755 usercpu_time_millis_testing 20.690196004579775 usercpu_time_millis_training 6580.860346999543 usercpu_time_millis_training 6410.626904005767 usercpu_time_millis_training 6558.205850000377 usercpu_time_millis_training 6362.3502849950455 usercpu_time_millis_training 6457.058769003197 usercpu_time_millis_training 6396.792797000671 usercpu_time_millis_training 6431.660774003831 usercpu_time_millis_training 6380.75769799616 usercpu_time_millis_training 6419.1490189987235 usercpu_time_millis_training 6518.9491319979425