10097662 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) 8022810 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 20 8783 min_samples_split 12 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 13679 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 21115861 description https://api.openml.org/data/download/21115861/description.xml -1 21115862 predictions https://api.openml.org/data/download/21115862/predictions.arff area_under_roc_curve 0.9478980555555556 [0.991217,0.908586,0.975799,0.945378,0.931261,0.956321,0.904797,0.976911,0.978772,0.909939] average_cost 0 f_measure 0.7400360434272403 [0.953317,0.624454,0.900524,0.717172,0.670051,0.791774,0.527363,0.823256,0.924242,0.468208] kappa 0.7133333333333334 kb_relative_information_score 1499.4223988621245 mean_absolute_error 0.06220463743732439 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7439019243021 [0.937198,0.554264,0.945055,0.72449,0.680412,0.814815,0.524752,0.769565,0.933673,0.554795] predictive_accuracy 0.742 prior_entropy 3.321928094887362 recall 0.742 [0.97,0.715,0.86,0.71,0.66,0.77,0.53,0.885,0.915,0.405] relative_absolute_error 0.34558131909623596 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1894604405850472 root_relative_squared_error 0.6315348019501478 total_cost 0 area_under_roc_curve 0.9546805555555555 [0.999861,0.931389,0.964167,0.923333,0.934167,0.998333,0.8875,0.991111,0.9975,0.919444] area_under_roc_curve 0.9279027777777779 [0.974167,0.905694,0.936806,0.948472,0.880278,0.921806,0.927083,0.983472,0.947778,0.853472] area_under_roc_curve 0.9355694444444445 [0.97375,0.883056,0.96875,0.884167,0.96625,0.9525,0.9075,0.940556,0.996667,0.8825] area_under_roc_curve 0.9442222222222222 [0.995139,0.897639,0.996111,0.957917,0.929722,0.921944,0.918056,0.964861,0.974167,0.886667] area_under_roc_curve 0.9514722222222223 [0.999722,0.931389,0.967639,0.950278,0.9625,0.935,0.946389,0.96,0.995833,0.865972] area_under_roc_curve 0.9549166666666666 [0.999722,0.914583,0.999028,0.965139,0.908472,0.962361,0.893472,0.979722,0.99875,0.927917] area_under_roc_curve 0.9555138888888888 [0.999722,0.885,0.970139,0.947778,0.954722,0.954861,0.960972,0.985417,0.974028,0.9225] area_under_roc_curve 0.9442222222222222 [0.973194,0.895972,0.999444,0.958611,0.898472,0.98875,0.841528,0.991667,0.941806,0.952778] area_under_roc_curve 0.9685277777777778 [0.999583,0.935278,0.997917,0.989028,0.929722,0.967639,0.914722,0.991528,1,0.959861] area_under_roc_curve 0.9457777777777777 [0.997083,0.905833,0.969167,0.935,0.937222,0.960833,0.86,0.99125,0.966528,0.934861] 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 0.764539890180404 [0.97561,0.622222,0.842105,0.75,0.809524,0.864865,0.55814,0.829268,0.923077,0.470588] f_measure 0.704056260635208 [0.95,0.681818,0.833333,0.727273,0.555556,0.684211,0.428571,0.8,0.947368,0.432432] f_measure 0.6988267442918605 [0.95,0.592593,0.918919,0.466667,0.755556,0.755556,0.55814,0.727273,0.930233,0.333333] f_measure 0.7097864849513736 [0.904762,0.585366,0.923077,0.730769,0.564103,0.702703,0.585366,0.809524,0.947368,0.344828] f_measure 0.7061063622898146 [0.97561,0.585366,0.888889,0.755556,0.615385,0.764706,0.512821,0.72,0.930233,0.3125] f_measure 0.7471807655051069 [0.97561,0.592593,0.947368,0.628571,0.628571,0.837209,0.516129,0.869565,0.904762,0.571429] f_measure 0.7870221790953498 [0.974359,0.648649,0.923077,0.75,0.772727,0.780488,0.682927,0.863636,0.974359,0.5] f_measure 0.7532869181618324 [0.95,0.6,0.947368,0.722222,0.634146,0.871795,0.526316,0.837209,0.864865,0.578947] f_measure 0.793717774091632 [0.95,0.68,0.894737,0.871795,0.717949,0.857143,0.512821,0.888889,0.97561,0.588235] f_measure 0.715375672674061 [0.930233,0.666667,0.883721,0.685714,0.588235,0.8,0.4,0.878049,0.833333,0.487805] kappa 0.7388888888888889 kappa 0.6722222222222222 kappa 0.6777777777777777 kappa 0.6888888888888889 kappa 0.6833333333333333 kappa 0.7277777777777777 kappa 0.7666666666666667 kappa 0.7222222222222222 kappa 0.7722222222222223 kappa 0.6833333333333333 kb_relative_information_score 153.29494380184622 kb_relative_information_score 143.72246544017815 kb_relative_information_score 144.4587133222548 kb_relative_information_score 146.85418757057553 kb_relative_information_score 149.7323589018639 kb_relative_information_score 149.20970363978648 kb_relative_information_score 155.7590357924953 kb_relative_information_score 148.55974576347057 kb_relative_information_score 160.5136928722437 kb_relative_information_score 147.31755175741918 mean_absolute_error 0.05884022947404099 mean_absolute_error 0.06665642544196311 mean_absolute_error 0.06686450405756025 mean_absolute_error 0.06279899270405462 mean_absolute_error 0.06308595373115611 mean_absolute_error 0.06246113559752955 mean_absolute_error 0.057140937152858146 mean_absolute_error 0.06404234162694021 mean_absolute_error 0.05367759641847554 mean_absolute_error 0.06647825816866414 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 0.7715233517025145 [0.952381,0.56,0.888889,0.75,0.772727,0.941176,0.521739,0.809524,0.947368,0.571429] precision 0.7126068033273916 [0.95,0.625,0.9375,0.666667,0.625,0.722222,0.409091,0.72,1,0.470588] precision 0.7294969506197129 [0.95,0.470588,1,0.7,0.68,0.68,0.521739,0.923077,0.869565,0.5] precision 0.721954800660296 [0.863636,0.571429,0.947368,0.59375,0.578947,0.764706,0.571429,0.772727,1,0.555556] precision 0.7176507573281029 [0.952381,0.571429,1,0.68,0.631579,0.928571,0.526316,0.6,0.869565,0.416667] precision 0.7699051076800438 [0.952381,0.470588,1,0.733333,0.733333,0.782609,0.727273,0.769231,0.863636,0.666667] precision 0.7894322202565237 [1,0.705882,0.947368,0.75,0.708333,0.761905,0.666667,0.791667,1,0.5625] precision 0.7666736294059959 [0.95,0.5,1,0.8125,0.619048,0.894737,0.555556,0.782609,0.941176,0.611111] precision 0.8085672514619882 [0.95,0.566667,0.944444,0.894737,0.736842,1,0.526316,0.8,0.952381,0.714286] precision 0.7277134857895727 [0.869565,0.636364,0.826087,0.8,0.714286,0.8,0.36,0.857143,0.9375,0.47619] predictive_accuracy 0.765 predictive_accuracy 0.705 predictive_accuracy 0.71 predictive_accuracy 0.72 predictive_accuracy 0.715 predictive_accuracy 0.755 predictive_accuracy 0.79 predictive_accuracy 0.75 predictive_accuracy 0.795 predictive_accuracy 0.715 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 0.765 [1,0.7,0.8,0.75,0.85,0.8,0.6,0.85,0.9,0.4] recall 0.705 [0.95,0.75,0.75,0.8,0.5,0.65,0.45,0.9,0.9,0.4] recall 0.71 [0.95,0.8,0.85,0.35,0.85,0.85,0.6,0.6,1,0.25] recall 0.72 [0.95,0.6,0.9,0.95,0.55,0.65,0.6,0.85,0.9,0.25] recall 0.715 [1,0.6,0.8,0.85,0.6,0.65,0.5,0.9,1,0.25] recall 0.755 [1,0.8,0.9,0.55,0.55,0.9,0.4,1,0.95,0.5] recall 0.79 [0.95,0.6,0.9,0.75,0.85,0.8,0.7,0.95,0.95,0.45] recall 0.75 [0.95,0.75,0.9,0.65,0.65,0.85,0.5,0.9,0.8,0.55] recall 0.795 [0.95,0.85,0.85,0.85,0.7,0.75,0.5,1,1,0.5] recall 0.715 [1,0.7,0.95,0.6,0.5,0.8,0.45,0.9,0.75,0.5] relative_absolute_error 0.3268901637446725 relative_absolute_error 0.3703134746775733 relative_absolute_error 0.3714694669864463 relative_absolute_error 0.34888329280030383 relative_absolute_error 0.3504775207286454 relative_absolute_error 0.34700630887516454 relative_absolute_error 0.3174496508492123 relative_absolute_error 0.3557907868163349 relative_absolute_error 0.29820886899153115 relative_absolute_error 0.369323656492579 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 0.18350753779503187 root_mean_squared_error 0.20544407028545483 root_mean_squared_error 0.20042036043310774 root_mean_squared_error 0.19560211105468087 root_mean_squared_error 0.19198012459359548 root_mean_squared_error 0.18637332411609506 root_mean_squared_error 0.17645452966502756 root_mean_squared_error 0.1899020432635327 root_mean_squared_error 0.1677745654945761 root_mean_squared_error 0.19417291318731053 root_relative_squared_error 0.6116917926501065 root_relative_squared_error 0.6848135676181832 root_relative_squared_error 0.6680678681103595 root_relative_squared_error 0.6520070368489367 root_relative_squared_error 0.6399337486453186 root_relative_squared_error 0.6212444137203172 root_relative_squared_error 0.5881817655500923 root_relative_squared_error 0.6330068108784427 root_relative_squared_error 0.5592485516485872 root_relative_squared_error 0.6472430439577022 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 609.398084001441 usercpu_time_millis 465.0322849993245 usercpu_time_millis 467.6604380019853 usercpu_time_millis 459.2355119984859 usercpu_time_millis 460.3544560013688 usercpu_time_millis 446.7977249987598 usercpu_time_millis 471.18222000244714 usercpu_time_millis 484.6443110018299 usercpu_time_millis 450.12547700025607 usercpu_time_millis 460.4948609994608 usercpu_time_millis_testing 1.4654490005341358 usercpu_time_millis_testing 1.3434779993986012 usercpu_time_millis_testing 1.4058400010981131 usercpu_time_millis_testing 1.3948309988336405 usercpu_time_millis_testing 1.3205530012783129 usercpu_time_millis_testing 1.5119199997570831 usercpu_time_millis_testing 1.3673950015800074 usercpu_time_millis_testing 1.3646200004586717 usercpu_time_millis_testing 1.3605180010927143 usercpu_time_millis_testing 1.475909999498981 usercpu_time_millis_training 607.9326350009069 usercpu_time_millis_training 463.6888069999259 usercpu_time_millis_training 466.2545980008872 usercpu_time_millis_training 457.84068099965225 usercpu_time_millis_training 459.0339030000905 usercpu_time_millis_training 445.2858049990027 usercpu_time_millis_training 469.81482500086713 usercpu_time_millis_training 483.27969100137125 usercpu_time_millis_training 448.76495899916335 usercpu_time_millis_training 459.0189509999618