10080700 1 Jan van Rijn 14 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) 8005687 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "median" 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 "entropy" 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 15 8783 min_samples_split 9 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 11421 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. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 21081936 description https://api.openml.org/data/download/21081936/description.xml -1 21081937 predictions https://api.openml.org/data/download/21081937/predictions.arff area_under_roc_curve 0.9440813888888889 [0.991433,0.905844,0.971428,0.944125,0.93206,0.955854,0.893949,0.974417,0.977292,0.894413] average_cost 0 f_measure 0.748715374893802 [0.953317,0.659091,0.895288,0.762136,0.690176,0.820779,0.480818,0.846715,0.937343,0.441489] kappa 0.7222222222222222 kb_relative_information_score 1524.9921442016441 mean_absolute_error 0.05825828000824663 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.749905728590597 [0.937198,0.604167,0.93956,0.740566,0.695431,0.854054,0.492147,0.824645,0.939698,0.471591] predictive_accuracy 0.75 prior_entropy 3.321928094887362 recall 0.75 [0.97,0.725,0.855,0.785,0.685,0.79,0.47,0.87,0.935,0.415] relative_absolute_error 0.32365711115691576 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18837543756239175 root_relative_squared_error 0.6279181252079629 total_cost 0 area_under_roc_curve 0.947638888888889 [0.999722,0.946389,0.964444,0.882778,0.952917,0.997778,0.870556,0.968889,0.9975,0.895417] area_under_roc_curve 0.9213472222222222 [0.971528,0.911806,0.94,0.93,0.8625,0.898611,0.887083,0.987083,0.948056,0.876806] area_under_roc_curve 0.9386666666666666 [0.974167,0.887222,0.944583,0.8925,0.974167,0.989167,0.893056,0.942778,0.996944,0.892083] area_under_roc_curve 0.9418472222222222 [0.996944,0.885,0.972361,0.987222,0.910278,0.900417,0.89625,0.994167,0.973889,0.901944] area_under_roc_curve 0.9422916666666667 [1,0.888611,0.966806,0.9325,0.973194,0.962083,0.924861,0.931111,0.996667,0.847083] area_under_roc_curve 0.9551250000000002 [0.999861,0.924583,0.99875,0.98375,0.944861,0.940556,0.868889,0.981806,0.99875,0.909444] area_under_roc_curve 0.9610277777777779 [0.999722,0.953194,0.971389,0.961111,0.978611,0.978056,0.924861,0.965,0.974444,0.903889] area_under_roc_curve 0.9317916666666668 [0.973472,0.853056,0.999444,0.937361,0.86,0.992083,0.9125,0.989028,0.921111,0.879861] area_under_roc_curve 0.9679027777777778 [0.999722,0.917639,0.997917,0.993194,0.954722,0.970417,0.924306,0.992083,1,0.929028] area_under_roc_curve 0.9354583333333334 [1,0.893333,0.9625,0.939167,0.916667,0.937083,0.824861,0.993472,0.968889,0.918611] 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 0.72847263671636 [0.97561,0.6,0.842105,0.8,0.790698,0.923077,0.4,0.789474,0.878049,0.285714] f_measure 0.7122643230827547 [0.95,0.681818,0.833333,0.780488,0.578947,0.684211,0.390244,0.837209,0.947368,0.439024] f_measure 0.7286431694358524 [0.95,0.625,0.918919,0.666667,0.755556,0.878049,0.358974,0.833333,0.97561,0.324324] f_measure 0.7406266295491671 [0.904762,0.595745,0.923077,0.826087,0.590909,0.777778,0.540541,0.8,0.947368,0.5] f_measure 0.7375972821929175 [0.97561,0.636364,0.888889,0.7,0.666667,0.789474,0.5,0.755556,0.97561,0.487805] f_measure 0.7749419744768231 [0.97561,0.761905,0.947368,0.8,0.647059,0.857143,0.470588,0.844444,0.904762,0.540541] f_measure 0.7948902595414222 [0.974359,0.75,0.923077,0.761905,0.756757,0.761905,0.65,0.883721,0.974359,0.512821] f_measure 0.7460244233980687 [0.95,0.604651,0.9,0.636364,0.628571,0.9,0.571429,0.878049,0.864865,0.526316] f_measure 0.7706254291429083 [0.95,0.666667,0.894737,0.833333,0.790698,0.75,0.487805,0.883721,0.97561,0.473684] f_measure 0.7453237356248817 [0.930233,0.695652,0.878049,0.8,0.666667,0.864865,0.444444,0.952381,0.926829,0.294118] kappa 0.7 kappa 0.6777777777777777 kappa 0.7 kappa 0.7111111111111111 kappa 0.7111111111111111 kappa 0.7611111111111112 kappa 0.7722222222222223 kappa 0.7166666666666667 kappa 0.75 kappa 0.7222222222222222 kb_relative_information_score 151.98550115984733 kb_relative_information_score 143.7789605156532 kb_relative_information_score 148.20239364045153 kb_relative_information_score 151.17729644071377 kb_relative_information_score 151.3442512929699 kb_relative_information_score 155.45328813177684 kb_relative_information_score 160.6376756566701 kb_relative_information_score 149.9223285274139 kb_relative_information_score 161.90096844280868 kb_relative_information_score 150.58948039335712 mean_absolute_error 0.057262432786076366 mean_absolute_error 0.06814297937429872 mean_absolute_error 0.061256264915792426 mean_absolute_error 0.057875901290831616 mean_absolute_error 0.059458367696959016 mean_absolute_error 0.05526160402196403 mean_absolute_error 0.04880420557868768 mean_absolute_error 0.062402036268759564 mean_absolute_error 0.05150174450074094 mean_absolute_error 0.06061726364835308 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 0.7384911554247938 [0.952381,0.5,0.888889,0.933333,0.73913,0.947368,0.4,0.833333,0.857143,0.333333] precision 0.719987060041408 [0.95,0.625,0.9375,0.761905,0.611111,0.722222,0.380952,0.782609,1,0.428571] precision 0.7384100324340263 [0.95,0.535714,1,0.75,0.68,0.857143,0.368421,0.9375,0.952381,0.352941] precision 0.7561027828094392 [0.863636,0.518519,0.947368,0.730769,0.541667,0.875,0.588235,0.933333,1,0.5625] precision 0.748064935064935 [0.952381,0.583333,1,0.7,0.636364,0.833333,0.666667,0.68,0.952381,0.47619] precision 0.7786850012732367 [0.952381,0.727273,1,0.72,0.785714,0.818182,0.571429,0.76,0.863636,0.588235] precision 0.7977846033358215 [1,0.75,0.947368,0.727273,0.823529,0.727273,0.65,0.826087,1,0.526316] precision 0.7531213486712208 [0.95,0.565217,0.9,0.583333,0.733333,0.9,0.545455,0.857143,0.941176,0.555556] precision 0.7852518978605935 [0.95,0.75,0.944444,0.714286,0.73913,1,0.47619,0.826087,0.952381,0.5] precision 0.7537598164836017 [0.869565,0.615385,0.857143,0.933333,0.75,0.941176,0.4,0.909091,0.904762,0.357143] predictive_accuracy 0.73 predictive_accuracy 0.71 predictive_accuracy 0.73 predictive_accuracy 0.74 predictive_accuracy 0.74 predictive_accuracy 0.785 predictive_accuracy 0.795 predictive_accuracy 0.745 predictive_accuracy 0.775 predictive_accuracy 0.75 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 0.73 [1,0.75,0.8,0.7,0.85,0.9,0.4,0.75,0.9,0.25] recall 0.71 [0.95,0.75,0.75,0.8,0.55,0.65,0.4,0.9,0.9,0.45] recall 0.73 [0.95,0.75,0.85,0.6,0.85,0.9,0.35,0.75,1,0.3] recall 0.74 [0.95,0.7,0.9,0.95,0.65,0.7,0.5,0.7,0.9,0.45] recall 0.74 [1,0.7,0.8,0.7,0.7,0.75,0.4,0.85,1,0.5] recall 0.785 [1,0.8,0.9,0.9,0.55,0.9,0.4,0.95,0.95,0.5] recall 0.795 [0.95,0.75,0.9,0.8,0.7,0.8,0.65,0.95,0.95,0.5] recall 0.745 [0.95,0.65,0.9,0.7,0.55,0.9,0.6,0.9,0.8,0.5] recall 0.775 [0.95,0.6,0.85,1,0.85,0.6,0.5,0.95,1,0.45] recall 0.75 [1,0.8,0.9,0.7,0.6,0.8,0.5,1,0.95,0.25] relative_absolute_error 0.3181246265893135 relative_absolute_error 0.3785721076349933 relative_absolute_error 0.34031258286551386 relative_absolute_error 0.3215327849490649 relative_absolute_error 0.33032426498310596 relative_absolute_error 0.3070089112331338 relative_absolute_error 0.2711344754371541 relative_absolute_error 0.34667797927088684 relative_absolute_error 0.2861208027818944 relative_absolute_error 0.3367625758241842 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 0.19302113004005877 root_mean_squared_error 0.2082590814133393 root_mean_squared_error 0.19420865340669788 root_mean_squared_error 0.19135926832406688 root_mean_squared_error 0.19200827905053375 root_mean_squared_error 0.17818679382834357 root_mean_squared_error 0.17182421145302765 root_mean_squared_error 0.19186377592406628 root_mean_squared_error 0.16672442633788612 root_mean_squared_error 0.1927139519957667 root_relative_squared_error 0.6434037668001963 root_relative_squared_error 0.6941969380444647 root_relative_squared_error 0.6473621780223268 root_relative_squared_error 0.63786422774689 root_relative_squared_error 0.6400275968351129 root_relative_squared_error 0.5939559794278123 root_relative_squared_error 0.5727473715100925 root_relative_squared_error 0.639545919746888 root_relative_squared_error 0.5557480877929541 root_relative_squared_error 0.6423798399858894 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 652.8688380003587 usercpu_time_millis 470.4232320009396 usercpu_time_millis 450.60448799995356 usercpu_time_millis 447.04956999976275 usercpu_time_millis 452.01587399969867 usercpu_time_millis 440.7173359995795 usercpu_time_millis 465.10999300062394 usercpu_time_millis 470.2716320007312 usercpu_time_millis 442.672830000447 usercpu_time_millis 449.8055550002391 usercpu_time_millis_testing 1.980725000066741 usercpu_time_millis_testing 1.342853000096511 usercpu_time_millis_testing 1.3341989997570636 usercpu_time_millis_testing 1.3425719998849672 usercpu_time_millis_testing 1.3334889999896404 usercpu_time_millis_testing 1.328311000179383 usercpu_time_millis_testing 1.32479800049623 usercpu_time_millis_testing 1.3278650003485382 usercpu_time_millis_testing 1.3322419999894919 usercpu_time_millis_testing 1.3288159998410265 usercpu_time_millis_training 650.8881130002919 usercpu_time_millis_training 469.0803790008431 usercpu_time_millis_training 449.2702890001965 usercpu_time_millis_training 445.7069979998778 usercpu_time_millis_training 450.68238499970903 usercpu_time_millis_training 439.38902499940014 usercpu_time_millis_training 463.7851950001277 usercpu_time_millis_training 468.94376700038265 usercpu_time_millis_training 441.3405880004575 usercpu_time_millis_training 448.4767390003981