10130046 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) 8055498 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "mean" 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 17 8783 min_samples_split 16 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 7384 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 21180630 description https://api.openml.org/data/download/21180630/description.xml -1 21180631 predictions https://api.openml.org/data/download/21180631/predictions.arff area_under_roc_curve 0.9433556944444444 [0.991683,0.899375,0.971171,0.940286,0.925418,0.954215,0.8972,0.973492,0.979724,0.900993] average_cost 0 f_measure 0.7419246191796578 [0.953317,0.632287,0.895833,0.744526,0.663265,0.812339,0.489691,0.842105,0.932331,0.453552] kappa 0.7155555555555556 kb_relative_information_score 1504.173359445862 mean_absolute_error 0.06058188658463772 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7430664026071937 [0.937198,0.573171,0.934783,0.725118,0.677083,0.835979,0.505319,0.807339,0.934673,0.5] predictive_accuracy 0.7440000000000001 prior_entropy 3.321928094887362 recall 0.744 [0.97,0.705,0.86,0.765,0.65,0.79,0.475,0.88,0.93,0.415] relative_absolute_error 0.33656603658131024 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19039187873909189 root_relative_squared_error 0.6346395957969633 total_cost 0 area_under_roc_curve 0.9475694444444445 [0.999583,0.921528,0.965694,0.905694,0.951667,0.994167,0.87,0.966111,0.998056,0.903194] area_under_roc_curve 0.9150833333333334 [0.974167,0.911389,0.937917,0.928472,0.814583,0.872639,0.894861,0.987639,0.948333,0.880833] area_under_roc_curve 0.9406111111111112 [0.973889,0.880556,0.940556,0.898056,0.975278,0.987639,0.900694,0.940139,0.995556,0.91375] area_under_roc_curve 0.9398472222222223 [0.998333,0.878472,0.971944,0.958472,0.930417,0.905278,0.923194,0.96625,0.973889,0.892222] area_under_roc_curve 0.9396805555555555 [1,0.876806,0.965556,0.929722,0.963472,0.960694,0.901944,0.958611,0.998611,0.841389] area_under_roc_curve 0.9509166666666666 [1,0.904028,0.999028,0.954861,0.936667,0.937639,0.887917,0.985694,0.99875,0.904583] area_under_roc_curve 0.9522083333333334 [0.999722,0.892917,0.97,0.9575,0.954722,0.957083,0.961389,0.962361,0.974306,0.892083] area_under_roc_curve 0.9448888888888889 [0.973611,0.883056,0.999444,0.938194,0.882639,0.987361,0.9175,0.994167,0.944306,0.928611] area_under_roc_curve 0.967375 [0.999444,0.907639,0.998194,0.995278,0.929444,0.993056,0.921389,0.992083,1,0.937222] area_under_roc_curve 0.9397777777777779 [1,0.939167,0.9675,0.936667,0.917778,0.962083,0.803333,0.990833,0.96875,0.911667] 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 0.7434134481771114 [0.97561,0.638298,0.842105,0.756757,0.73913,0.864865,0.511628,0.842105,0.9,0.363636] f_measure 0.70867917049315 [0.95,0.681818,0.833333,0.761905,0.594595,0.684211,0.285714,0.837209,0.947368,0.510638] f_measure 0.713321410086116 [0.95,0.576923,0.918919,0.606061,0.755556,0.857143,0.410256,0.764706,0.904762,0.388889] f_measure 0.7144088130182671 [0.904762,0.585366,0.923077,0.745098,0.55,0.702703,0.619048,0.809524,0.947368,0.357143] f_measure 0.7311054529618879 [0.97561,0.590909,0.888889,0.744186,0.65,0.789474,0.457143,0.818182,0.97561,0.421053] f_measure 0.7551903233691527 [0.97561,0.666667,0.947368,0.769231,0.628571,0.837209,0.4375,0.844444,0.904762,0.540541] f_measure 0.7848221433587287 [0.974359,0.666667,0.923077,0.769231,0.731707,0.772727,0.648649,0.863636,0.974359,0.52381] f_measure 0.7353120855644962 [0.95,0.604651,0.9,0.636364,0.611111,0.871795,0.536585,0.837209,0.864865,0.540541] f_measure 0.7816401088595029 [0.95,0.622222,0.894737,0.869565,0.717949,0.857143,0.5,0.883721,0.97561,0.545455] f_measure 0.7333162827305718 [0.930233,0.695652,0.883721,0.756757,0.606061,0.888889,0.454545,0.904762,0.926829,0.285714] kappa 0.7166666666666667 kappa 0.6777777777777777 kappa 0.6833333333333333 kappa 0.6944444444444444 kappa 0.7055555555555556 kappa 0.7388888888888889 kappa 0.7611111111111112 kappa 0.7055555555555556 kappa 0.7611111111111112 kappa 0.7111111111111111 kb_relative_information_score 149.3711903019721 kb_relative_information_score 144.7700782478951 kb_relative_information_score 144.2922429732035 kb_relative_information_score 147.63323447751787 kb_relative_information_score 149.21401556529082 kb_relative_information_score 152.88859644272344 kb_relative_information_score 157.23526534429595 kb_relative_information_score 149.71054402075396 kb_relative_information_score 159.1367826303714 kb_relative_information_score 149.92140944185226 mean_absolute_error 0.06057059811333948 mean_absolute_error 0.06625803976512686 mean_absolute_error 0.06607663500127894 mean_absolute_error 0.061371140536854954 mean_absolute_error 0.06168777501406379 mean_absolute_error 0.057862717467342166 mean_absolute_error 0.05372623542545804 mean_absolute_error 0.06201500468700478 mean_absolute_error 0.05406927132378889 mean_absolute_error 0.062181448512115975 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 0.754406565301706 [0.952381,0.555556,0.888889,0.823529,0.653846,0.941176,0.478261,0.888889,0.9,0.461538] precision 0.7169440246454313 [0.95,0.625,0.9375,0.727273,0.647059,0.722222,0.333333,0.782609,1,0.444444] precision 0.7336923011199326 [0.95,0.46875,1,0.769231,0.68,0.818182,0.421053,0.928571,0.863636,0.4375] precision 0.7298678827913322 [0.863636,0.571429,0.947368,0.612903,0.55,0.764706,0.590909,0.772727,1,0.625] precision 0.7353191856452725 [0.952381,0.541667,1,0.695652,0.65,0.833333,0.533333,0.75,0.952381,0.444444] precision 0.7624430228092902 [0.952381,0.571429,1,0.789474,0.733333,0.782609,0.583333,0.76,0.863636,0.588235] precision 0.790701017249005 [1,0.75,0.947368,0.789474,0.714286,0.708333,0.705882,0.791667,1,0.5] precision 0.7416617550910525 [0.95,0.565217,0.9,0.583333,0.6875,0.894737,0.52381,0.782609,0.941176,0.588235] precision 0.7931292920148755 [0.95,0.56,0.944444,0.769231,0.736842,1,0.5,0.826087,0.952381,0.692308] precision 0.7422195238691401 [0.869565,0.615385,0.826087,0.823529,0.769231,1,0.416667,0.863636,0.904762,0.333333] predictive_accuracy 0.745 predictive_accuracy 0.71 predictive_accuracy 0.715 predictive_accuracy 0.725 predictive_accuracy 0.735 predictive_accuracy 0.765 predictive_accuracy 0.785 predictive_accuracy 0.735 predictive_accuracy 0.785 predictive_accuracy 0.74 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 0.745 [1,0.75,0.8,0.7,0.85,0.8,0.55,0.8,0.9,0.3] recall 0.71 [0.95,0.75,0.75,0.8,0.55,0.65,0.25,0.9,0.9,0.6] recall 0.715 [0.95,0.75,0.85,0.5,0.85,0.9,0.4,0.65,0.95,0.35] recall 0.725 [0.95,0.6,0.9,0.95,0.55,0.65,0.65,0.85,0.9,0.25] recall 0.735 [1,0.65,0.8,0.8,0.65,0.75,0.4,0.9,1,0.4] recall 0.765 [1,0.8,0.9,0.75,0.55,0.9,0.35,0.95,0.95,0.5] recall 0.785 [0.95,0.6,0.9,0.75,0.75,0.85,0.6,0.95,0.95,0.55] recall 0.735 [0.95,0.65,0.9,0.7,0.55,0.85,0.55,0.9,0.8,0.5] recall 0.785 [0.95,0.7,0.85,1,0.7,0.75,0.5,0.95,1,0.45] recall 0.74 [1,0.8,0.95,0.7,0.5,0.8,0.5,0.95,0.95,0.25] relative_absolute_error 0.3365033228518864 relative_absolute_error 0.3681002209173718 relative_absolute_error 0.36709241667377235 relative_absolute_error 0.34095078076030566 relative_absolute_error 0.3427098611892437 relative_absolute_error 0.32145954148523465 relative_absolute_error 0.29847908569698944 relative_absolute_error 0.34452780381669357 relative_absolute_error 0.30038484068771637 relative_absolute_error 0.3454524917339781 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 0.1947991569047434 root_mean_squared_error 0.20662163441626094 root_mean_squared_error 0.2005046232945117 root_mean_squared_error 0.1942734395792638 root_mean_squared_error 0.1928950338095351 root_mean_squared_error 0.1823841732203664 root_mean_squared_error 0.17703748408479675 root_mean_squared_error 0.19066592147613115 root_mean_squared_error 0.17047197357001698 root_mean_squared_error 0.19151566882111862 root_relative_squared_error 0.6493305230158117 root_relative_squared_error 0.688738781387537 root_relative_squared_error 0.6683487443150394 root_relative_squared_error 0.6475781319308797 root_relative_squared_error 0.642983446031784 root_relative_squared_error 0.6079472440678884 root_relative_squared_error 0.5901249469493228 root_relative_squared_error 0.6355530715871042 root_relative_squared_error 0.5682399119000568 root_relative_squared_error 0.6383855627370625 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 629.6630809993076 usercpu_time_millis 522.963613999309 usercpu_time_millis 441.0243869988335 usercpu_time_millis 428.85678299899155 usercpu_time_millis 431.47035500260245 usercpu_time_millis 424.71872300120594 usercpu_time_millis 441.8471609988046 usercpu_time_millis 451.2322379996476 usercpu_time_millis 430.0890109989268 usercpu_time_millis 429.95210099979886 usercpu_time_millis_testing 1.8149709994759178 usercpu_time_millis_testing 1.414868000210845 usercpu_time_millis_testing 1.4803639987803763 usercpu_time_millis_testing 1.3695699999516364 usercpu_time_millis_testing 1.292464001380722 usercpu_time_millis_testing 1.285543999983929 usercpu_time_millis_testing 1.297860999329714 usercpu_time_millis_testing 1.2964819998160237 usercpu_time_millis_testing 1.5147479989536805 usercpu_time_millis_testing 1.34280000020226 usercpu_time_millis_training 627.8481099998316 usercpu_time_millis_training 521.5487459990982 usercpu_time_millis_training 439.54402300005313 usercpu_time_millis_training 427.4872129990399 usercpu_time_millis_training 430.1778910012217 usercpu_time_millis_training 423.433179001222 usercpu_time_millis_training 440.5492999994749 usercpu_time_millis_training 449.9357559998316 usercpu_time_millis_training 428.57426299997314 usercpu_time_millis_training 428.6093009995966