5952584 1 Jan van Rijn 14 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 3987325 class_weight null 6941 criterion "gini" 6941 max_depth 2 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 34615 6941 splitter "best" 6941 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 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 algorithm "SAMME.R" 6971 learning_rate 0.0861538989962893 6971 n_estimators 468 6971 random_state 3852 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 12828636 description https://api.openml.org/data/download/12828636/description.xml -1 12828635 predictions https://api.openml.org/data/download/12828635/predictions.arff area_under_roc_curve 0.9600552777777778 [0.999175,0.904633,0.990583,0.964883,0.919064,0.978714,0.939372,0.984283,0.987072,0.932772] average_cost 0 f_measure 0.6201855124085566 [0.930481,0.535211,0.750716,0.751295,0.62212,0.610169,0.473684,0.161435,0.902913,0.46383] kappa 0.5877777777777778 kb_relative_information_score 1024.5723420146603 mean_absolute_error 0.13008680542585307 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7090376991701313 [1,0.389522,0.879195,0.77957,0.576923,0.947368,0.454128,0.782609,0.877358,0.403704] predictive_accuracy 0.629 prior_entropy 3.321928094887362 recall 0.629 [0.87,0.855,0.655,0.725,0.675,0.45,0.495,0.09,0.93,0.545] relative_absolute_error 0.7227044745880504 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2376728008966086 root_relative_squared_error 0.79224266965535 total_cost 0 area_under_roc_curve 0.9622500000000003 [0.999722,0.892778,0.987778,0.973056,0.914722,0.995833,0.926389,0.991667,0.988056,0.9525] area_under_roc_curve 0.967361111111111 [0.996944,0.919722,0.9975,0.979167,0.935278,0.972222,0.944722,0.981389,0.99,0.956667] area_under_roc_curve 0.9527499999999999 [0.996111,0.902222,0.986111,0.916111,0.926389,0.985278,0.886667,0.985833,0.995278,0.9475] area_under_roc_curve 0.9647222222222221 [1,0.889444,0.996111,0.974722,0.958611,0.9775,0.961389,0.979444,0.989722,0.920278] area_under_roc_curve 0.9654166666666667 [1,0.929444,0.978056,0.975,0.913889,0.983611,0.956111,0.9875,0.996667,0.933889] area_under_roc_curve 0.9625 [1,0.932222,0.998889,0.955278,0.923611,0.968056,0.955278,0.986944,0.991667,0.913056] area_under_roc_curve 0.9613611111111109 [1,0.897222,0.995556,0.977222,0.919444,0.976389,0.963889,0.988333,0.985,0.910556] area_under_roc_curve 0.9525555555555556 [1,0.851944,0.9975,0.945556,0.904722,0.99,0.928889,0.985833,0.967778,0.953333] area_under_roc_curve 0.9623611111111111 [1,0.874167,0.995,0.994444,0.925833,0.962778,0.956944,0.981389,0.998056,0.935] area_under_roc_curve 0.9615277777777778 [1,0.973611,0.9775,0.959167,0.891111,0.9875,0.920278,0.991111,0.988889,0.926111] 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 0.6229181387608809 [0.888889,0.53125,0.666667,0.666667,0.666667,0.709677,0.388889,0.333333,0.857143,0.52] f_measure 0.6098455739826609 [0.888889,0.553846,0.742857,0.790698,0.631579,0.5,0.511628,0.095238,0.883721,0.5] f_measure 0.6002742431307303 [0.888889,0.561404,0.685714,0.631579,0.55814,0.6875,0.372093,0.333333,0.909091,0.375] f_measure 0.6035730856290387 [0.888889,0.517241,0.857143,0.772727,0.666667,0.5,0.4,0,0.904762,0.528302] f_measure 0.6265742479933728 [1,0.542857,0.666667,0.736842,0.693878,0.5,0.604651,0.095238,0.97561,0.45] f_measure 0.6105418110154952 [0.974359,0.642857,0.789474,0.7,0.636364,0.518519,0.5,0.24,0.95,0.153846] f_measure 0.6198874500633504 [0.888889,0.521739,0.75,0.809524,0.722222,0.62069,0.30303,0.181818,0.883721,0.517241] f_measure 0.5837880538849278 [1,0.473684,0.709677,0.666667,0.526316,0.645161,0.581818,0.095238,0.823529,0.315789] f_measure 0.6839876806240599 [0.918919,0.481481,0.789474,0.923077,0.638298,0.709677,0.615385,0.166667,0.930233,0.666667] kappa 0.5833333333333334 kappa 0.5888888888888889 kappa 0.5555555555555556 kappa 0.5888888888888889 kappa 0.6111111111111112 kappa 0.5833333333333334 kappa 0.5888888888888889 kappa 0.5444444444444444 kappa 0.6611111111111111 kappa 0.5722222222222222 kb_relative_information_score 105.34777336975554 kb_relative_information_score 102.2381190604256 kb_relative_information_score 102.82177475832135 kb_relative_information_score 101.74886273587137 kb_relative_information_score 101.71447668987871 kb_relative_information_score 101.57922802197818 kb_relative_information_score 101.61079929460999 kb_relative_information_score 98.03985879565192 kb_relative_information_score 107.9033668585574 kb_relative_information_score 101.56808242961058 mean_absolute_error 0.1278083080328867 mean_absolute_error 0.1308937675194023 mean_absolute_error 0.1289513193041968 mean_absolute_error 0.1313020963068291 mean_absolute_error 0.13064007874470168 mean_absolute_error 0.13106719446356088 mean_absolute_error 0.13087013694523444 mean_absolute_error 0.13366605017077893 mean_absolute_error 0.12600225429926099 mean_absolute_error 0.12966684847167906 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 0.7205743160348423 [1,0.386364,0.684211,0.846154,0.6,1,0.4375,1,0.818182,0.433333] precision 0.7280383022774327 [1,0.4,0.866667,0.73913,0.666667,0.875,0.478261,1,0.826087,0.428571] precision 0.6840092887918974 [1,0.432432,0.8,0.666667,0.521739,0.916667,0.347826,1,0.833333,0.321429] precision 0.6304044201412622 [1,0.394737,1,0.708333,0.571429,0.875,0.466667,0,0.863636,0.424242] precision 0.7586583018014802 [1,0.38,1,0.777778,0.586207,0.875,0.565217,1,0.952381,0.45] precision 0.6730811403508773 [1,0.5,0.833333,0.7,0.583333,1,0.40625,0.6,0.95,0.157895] precision 0.7558013394745169 [1,0.367347,1,0.772727,0.8125,1,0.384615,1,0.826087,0.394737] precision 0.7326551226551226 [1,0.321429,1,0.75,0.555556,0.909091,0.457143,1,1,0.333333] precision 0.7291182987306287 [1,0.382353,0.833333,0.947368,0.555556,1,0.631579,0.5,0.869565,0.571429] predictive_accuracy 0.625 predictive_accuracy 0.63 predictive_accuracy 0.6 predictive_accuracy 0.63 predictive_accuracy 0.65 predictive_accuracy 0.625 predictive_accuracy 0.63 predictive_accuracy 0.59 predictive_accuracy 0.695 predictive_accuracy 0.615 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 0.625 [0.8,0.85,0.65,0.55,0.75,0.55,0.35,0.2,0.9,0.65] recall 0.63 [0.8,0.9,0.65,0.85,0.6,0.35,0.55,0.05,0.95,0.6] recall 0.6 [0.8,0.8,0.6,0.6,0.6,0.55,0.4,0.2,1,0.45] recall 0.63 [0.8,0.75,0.75,0.85,0.8,0.35,0.35,0,0.95,0.7] recall 0.65 [1,0.95,0.5,0.7,0.85,0.35,0.65,0.05,1,0.45] recall 0.625 [0.95,0.9,0.75,0.7,0.7,0.35,0.65,0.15,0.95,0.15] recall 0.63 [0.8,0.9,0.6,0.85,0.65,0.45,0.25,0.1,0.95,0.75] recall 0.59 [1,0.9,0.55,0.6,0.5,0.5,0.8,0.05,0.7,0.3] recall 0.695 [0.85,0.65,0.75,0.9,0.75,0.55,0.6,0.1,1,0.8] recall 0.615 [0.9,0.95,0.75,0.65,0.55,0.5,0.35,0,0.9,0.6] relative_absolute_error 0.7100461557382602 relative_absolute_error 0.7271875973300135 relative_absolute_error 0.7163962183566496 relative_absolute_error 0.7294560905934958 relative_absolute_error 0.7257782152483435 relative_absolute_error 0.7281510803531168 relative_absolute_error 0.7270563163624143 relative_absolute_error 0.7425891676154392 relative_absolute_error 0.7000125238847841 relative_absolute_error 0.7203713803982178 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 0.23470200422477627 root_mean_squared_error 0.23853664522136775 root_mean_squared_error 0.23843617239659506 root_mean_squared_error 0.23836476541988924 root_mean_squared_error 0.23783805922668125 root_mean_squared_error 0.2378414001179355 root_mean_squared_error 0.23838538750879112 root_mean_squared_error 0.2431107856186926 root_mean_squared_error 0.23162462018232957 root_mean_squared_error 0.23772544141455265 root_relative_squared_error 0.782340014082588 root_relative_squared_error 0.7951221507378929 root_relative_squared_error 0.794787241321984 root_relative_squared_error 0.7945492180662979 root_relative_squared_error 0.7927935307556047 root_relative_squared_error 0.7928046670597854 root_relative_squared_error 0.7946179583626376 root_relative_squared_error 0.8103692853956425 root_relative_squared_error 0.7720820672744324 root_relative_squared_error 0.7924181380485092 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 17410.781806000003 usercpu_time_millis 17478.363909000003 usercpu_time_millis 17379.485779999995 usercpu_time_millis 17720.806504 usercpu_time_millis 17418.392526999996 usercpu_time_millis 17463.658630999988 usercpu_time_millis 17533.479594000015 usercpu_time_millis 17484.468867999993 usercpu_time_millis 17433.059479999996 usercpu_time_millis 17521.63209600002 usercpu_time_millis_testing 126.14240100000274 usercpu_time_millis_testing 125.88277500000089 usercpu_time_millis_testing 127.70196399999634 usercpu_time_millis_testing 128.97623899999644 usercpu_time_millis_testing 126.03207600000133 usercpu_time_millis_testing 127.63351799999612 usercpu_time_millis_testing 125.94480600000679 usercpu_time_millis_testing 124.53484799999615 usercpu_time_millis_testing 127.34908699999892 usercpu_time_millis_testing 129.0267960000051 usercpu_time_millis_training 17284.639405 usercpu_time_millis_training 17352.481134 usercpu_time_millis_training 17251.783816 usercpu_time_millis_training 17591.830265000004 usercpu_time_millis_training 17292.360450999993 usercpu_time_millis_training 17336.025112999992 usercpu_time_millis_training 17407.534788000008 usercpu_time_millis_training 17359.934019999997 usercpu_time_millis_training 17305.710392999998 usercpu_time_millis_training 17392.605300000014