10149504 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) 8075141 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 8 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 65400 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 21219547 description https://api.openml.org/data/download/21219547/description.xml -1 21219548 predictions https://api.openml.org/data/download/21219548/predictions.arff area_under_roc_curve 0.9418847222222222 [0.991183,0.899776,0.969833,0.935081,0.929493,0.95805,0.888479,0.976228,0.977289,0.893435] average_cost 0 f_measure 0.7463668337524152 [0.953317,0.659091,0.895288,0.748792,0.690176,0.814621,0.480818,0.843902,0.937343,0.440318] kappa 0.7194444444444446 kb_relative_information_score 1517.5015938974093 mean_absolute_error 0.05892994082419218 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.747769589455797 [0.937198,0.604167,0.93956,0.724299,0.695431,0.852459,0.492147,0.82381,0.939698,0.468927] predictive_accuracy 0.7475 prior_entropy 3.321928094887362 recall 0.7475 [0.97,0.725,0.855,0.775,0.685,0.78,0.47,0.865,0.935,0.415] relative_absolute_error 0.3273885601343909 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19004762699600364 root_relative_squared_error 0.6334920899866691 total_cost 0 area_under_roc_curve 0.9416527777777778 [0.996667,0.891944,0.964444,0.882778,0.951528,0.997778,0.870556,0.967917,0.9975,0.895417] area_under_roc_curve 0.9157916666666667 [0.974306,0.911806,0.941528,0.929444,0.864444,0.896944,0.831944,0.987083,0.948333,0.872083] area_under_roc_curve 0.934027777777778 [0.974028,0.886528,0.945139,0.855556,0.9725,0.986667,0.891667,0.941944,0.996944,0.889306] area_under_roc_curve 0.9409861111111113 [0.9975,0.885278,0.972361,0.986806,0.908611,0.901806,0.892083,0.99375,0.973889,0.897778] area_under_roc_curve 0.9453472222222223 [0.999861,0.888194,0.966806,0.933333,0.972778,0.962361,0.925833,0.953889,0.998611,0.851806] area_under_roc_curve 0.9468055555555555 [0.999861,0.924028,0.99875,0.928889,0.918889,0.938194,0.869722,0.979306,0.99875,0.911667] area_under_roc_curve 0.9508888888888889 [0.999722,0.899444,0.9475,0.955694,0.980278,0.975972,0.929444,0.962917,0.974444,0.883472] area_under_roc_curve 0.932777777777778 [0.970833,0.85375,0.999444,0.940278,0.864444,0.992222,0.906806,0.987083,0.92,0.892917] area_under_roc_curve 0.9679861111111111 [0.999722,0.917639,0.997917,0.993194,0.954722,0.971111,0.924306,0.992222,1,0.929028] area_under_roc_curve 0.9435833333333333 [1,0.941528,0.967778,0.939444,0.916667,0.964167,0.824861,0.99375,0.969028,0.918611] 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 0.7063709866374285 [0.95,0.681818,0.833333,0.780488,0.578947,0.684211,0.315789,0.837209,0.947368,0.454545] f_measure 0.7085655530617019 [0.95,0.625,0.918919,0.578947,0.755556,0.820513,0.35,0.833333,0.97561,0.277778] f_measure 0.7301191871222201 [0.904762,0.595745,0.923077,0.826087,0.590909,0.777778,0.526316,0.764706,0.947368,0.444444] f_measure 0.7430400221406791 [0.97561,0.636364,0.888889,0.7,0.666667,0.789474,0.529412,0.755556,0.97561,0.512821] f_measure 0.7704975300323786 [0.97561,0.761905,0.947368,0.755556,0.647059,0.857143,0.470588,0.844444,0.904762,0.540541] f_measure 0.8054030800542428 [0.974359,0.75,0.923077,0.761905,0.756757,0.761905,0.717949,0.883721,0.974359,0.55] 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 0.6722222222222222 kappa 0.6777777777777777 kappa 0.7 kappa 0.7166666666666667 kappa 0.7555555555555555 kappa 0.7833333333333334 kappa 0.7166666666666667 kappa 0.75 kappa 0.7222222222222222 kb_relative_information_score 150.4928725981612 kb_relative_information_score 142.7682743201399 kb_relative_information_score 145.52566979695274 kb_relative_information_score 150.24122228205763 kb_relative_information_score 151.53716352058984 kb_relative_information_score 154.2440110980032 kb_relative_information_score 160.15619097300282 kb_relative_information_score 149.1961658546212 kb_relative_information_score 162.2760773432957 kb_relative_information_score 151.0639461106035 mean_absolute_error 0.0591957661194097 mean_absolute_error 0.06817413016794953 mean_absolute_error 0.06405332373932184 mean_absolute_error 0.05892876076795579 mean_absolute_error 0.05925836769695904 mean_absolute_error 0.056714003011863 mean_absolute_error 0.04909468176916386 mean_absolute_error 0.06302803348686875 mean_absolute_error 0.050701744500740935 mean_absolute_error 0.06015059698168641 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 0.714034679089027 [0.95,0.625,0.9375,0.761905,0.611111,0.722222,0.333333,0.782609,1,0.416667] precision 0.7171311612364244 [0.95,0.535714,1,0.611111,0.68,0.842105,0.35,0.9375,0.952381,0.3125] precision 0.7461086184770395 [0.863636,0.518519,0.947368,0.730769,0.541667,0.875,0.555556,0.928571,1,0.5] precision 0.7506965140123034 [0.952381,0.583333,1,0.7,0.636364,0.833333,0.642857,0.68,0.952381,0.526316] precision 0.7746850012732367 [0.952381,0.727273,1,0.68,0.785714,0.818182,0.571429,0.76,0.863636,0.588235] precision 0.8088372349147689 [1,0.75,0.947368,0.727273,0.823529,0.727273,0.736842,0.826087,1,0.55] 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 0.705 predictive_accuracy 0.71 predictive_accuracy 0.73 predictive_accuracy 0.745 predictive_accuracy 0.78 predictive_accuracy 0.805 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 0.705 [0.95,0.75,0.75,0.8,0.55,0.65,0.3,0.9,0.9,0.5] recall 0.71 [0.95,0.75,0.85,0.55,0.85,0.8,0.35,0.75,1,0.25] recall 0.73 [0.95,0.7,0.9,0.95,0.65,0.7,0.5,0.65,0.9,0.4] recall 0.745 [1,0.7,0.8,0.7,0.7,0.75,0.45,0.85,1,0.5] recall 0.78 [1,0.8,0.9,0.85,0.55,0.9,0.4,0.95,0.95,0.5] recall 0.805 [0.95,0.75,0.9,0.8,0.7,0.8,0.7,0.95,0.95,0.55] 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 0.3288653673300543 relative_absolute_error 0.37874516759972005 relative_absolute_error 0.3558517985517884 relative_absolute_error 0.32738200426642144 relative_absolute_error 0.329213153871995 relative_absolute_error 0.31507779451035034 relative_absolute_error 0.27274823205091064 relative_absolute_error 0.35015574159371565 relative_absolute_error 0.28167635833745 relative_absolute_error 0.3341699832315916 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 0.19610496332816585 root_mean_squared_error 0.2100792873789511 root_mean_squared_error 0.200422103353107 root_mean_squared_error 0.19335483857321648 root_mean_squared_error 0.1910336250261045 root_mean_squared_error 0.18108645579291185 root_mean_squared_error 0.17375796562031756 root_mean_squared_error 0.19403198856052695 root_mean_squared_error 0.1664309363066838 root_mean_squared_error 0.19028867124697094 root_relative_squared_error 0.6536832110938866 root_relative_squared_error 0.7002642912631707 root_relative_squared_error 0.6680736778436903 root_relative_squared_error 0.6445161285773886 root_relative_squared_error 0.6367787500870153 root_relative_squared_error 0.6036215193097065 root_relative_squared_error 0.5791932187343921 root_relative_squared_error 0.6467732952017569 root_relative_squared_error 0.5547697876889462 root_relative_squared_error 0.6342955708232368 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 656.2384600019868 usercpu_time_millis 473.31081699849165 usercpu_time_millis 485.26514299919654 usercpu_time_millis 446.21078400086844 usercpu_time_millis 452.46905599924503 usercpu_time_millis 512.5830680026411 usercpu_time_millis 461.47128399934445 usercpu_time_millis 494.3213560000004 usercpu_time_millis 445.5025379975268 usercpu_time_millis 452.24237499860465 usercpu_time_millis_testing 2.0490370006882586 usercpu_time_millis_testing 1.4011919993208721 usercpu_time_millis_testing 1.3368809995881747 usercpu_time_millis_testing 1.3256729998829542 usercpu_time_millis_testing 1.3263819982967107 usercpu_time_millis_testing 1.3326920015970245 usercpu_time_millis_testing 1.3274379998620134 usercpu_time_millis_testing 1.4846300000499468 usercpu_time_millis_testing 1.3373459987633396 usercpu_time_millis_testing 1.3706939989788225 usercpu_time_millis_training 654.1894230012986 usercpu_time_millis_training 471.9096249991708 usercpu_time_millis_training 483.92826199960837 usercpu_time_millis_training 444.8851110009855 usercpu_time_millis_training 451.1426740009483 usercpu_time_millis_training 511.25037600104406 usercpu_time_millis_training 460.14384599948244 usercpu_time_millis_training 492.83672599995043 usercpu_time_millis_training 444.1651919987635 usercpu_time_millis_training 450.8716809996258