10097991 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) 8023140 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 "gini" 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 18 8783 min_samples_split 7 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 9461 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 21116519 description https://api.openml.org/data/download/21116519/description.xml -1 21116520 predictions https://api.openml.org/data/download/21116520/predictions.arff area_under_roc_curve 0.9403806944444443 [0.996247,0.906039,0.948017,0.933132,0.922044,0.957165,0.889435,0.968403,0.980554,0.902771] average_cost 0 f_measure 0.7431745800395629 [0.968215,0.637615,0.883249,0.780749,0.651515,0.777778,0.512941,0.79717,0.923885,0.49863] kappa 0.7138888888888889 kb_relative_information_score 1459.1312670565908 mean_absolute_error 0.06425987375387025 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7479016271467074 [0.947368,0.588983,0.896907,0.83908,0.658163,0.785714,0.484444,0.754464,0.972376,0.551515] predictive_accuracy 0.7425 prior_entropy 3.321928094887362 recall 0.7425 [0.99,0.695,0.87,0.73,0.645,0.77,0.545,0.845,0.88,0.455] relative_absolute_error 0.35699929863260155 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19520091036202195 root_relative_squared_error 0.65066970120673 total_cost 0 area_under_roc_curve 0.9488055555555556 [0.997917,0.936667,0.955556,0.90125,0.94875,0.994861,0.881944,0.978194,0.992083,0.900833] area_under_roc_curve 0.9335416666666667 [0.971667,0.940556,0.883194,0.9325,0.9025,0.906528,0.941667,0.960278,0.966944,0.929583] area_under_roc_curve 0.9169027777777778 [1,0.895833,0.959861,0.901528,0.871806,0.935,0.8425,0.853889,0.996667,0.911944] area_under_roc_curve 0.9449444444444444 [1,0.846389,0.968611,0.982778,0.927222,0.990278,0.919306,0.976944,0.973611,0.864306] area_under_roc_curve 0.9570138888888892 [0.999444,0.895556,0.967222,0.9675,0.958056,0.930972,0.938194,0.983472,0.99625,0.933472] area_under_roc_curve 0.9491388888888888 [0.999028,0.89875,0.9975,0.877639,0.952361,0.989028,0.885417,0.987917,0.968194,0.935556] area_under_roc_curve 0.9394305555555555 [0.99875,0.95875,0.861111,0.945972,0.938472,0.953194,0.903611,0.979583,0.995417,0.859444] area_under_roc_curve 0.943138888888889 [0.999444,0.925833,0.937639,0.930417,0.903472,0.989583,0.908611,0.991667,0.948056,0.896667] area_under_roc_curve 0.945138888888889 [1,0.863194,0.995972,0.984583,0.934306,0.92125,0.848333,0.984444,1,0.919306] area_under_roc_curve 0.9270277777777778 [0.996528,0.900833,0.960417,0.910694,0.893056,0.966667,0.826389,0.987083,0.948889,0.879722] 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 0.7521624189081929 [0.952381,0.693878,0.829268,0.823529,0.666667,0.871795,0.487805,0.736842,0.918919,0.540541] f_measure 0.7587012072377926 [0.904762,0.731707,0.8,0.820513,0.611111,0.761905,0.666667,0.8,0.918919,0.571429] f_measure 0.7134799529536372 [1,0.590909,0.918919,0.742857,0.6,0.789474,0.454545,0.685714,0.952381,0.4] f_measure 0.7436076388740805 [1,0.55814,0.883721,0.780488,0.651163,0.777778,0.578947,0.744186,0.947368,0.514286] f_measure 0.7090656106371074 [0.97561,0.473684,0.894737,0.810811,0.606061,0.680851,0.511628,0.77551,0.95,0.411765] f_measure 0.7771983372496851 [0.97561,0.666667,0.952381,0.722222,0.682927,0.923077,0.52381,0.863636,0.947368,0.514286] f_measure 0.749911209507897 [0.952381,0.653061,0.833333,0.810811,0.6875,0.755556,0.55814,0.8,0.918919,0.529412] f_measure 0.7644457209116473 [0.974359,0.608696,0.894737,0.829268,0.684211,0.777778,0.52381,0.909091,0.857143,0.585366] f_measure 0.7424420551565859 [1,0.6875,0.952381,0.810811,0.636364,0.666667,0.368421,0.826087,1,0.47619] f_measure 0.7138930712843755 [0.952381,0.692308,0.864865,0.648649,0.702703,0.8,0.434783,0.8,0.810811,0.432432] kappa 0.7222222222222222 kappa 0.7333333333333334 kappa 0.6777777777777777 kappa 0.7166666666666667 kappa 0.6833333333333333 kappa 0.7555555555555555 kappa 0.7222222222222222 kappa 0.7333333333333334 kappa 0.7166666666666667 kappa 0.6777777777777777 kb_relative_information_score 147.05508230364046 kb_relative_information_score 146.15783155552245 kb_relative_information_score 138.82032813377464 kb_relative_information_score 148.12235042599383 kb_relative_information_score 147.18179310272174 kb_relative_information_score 147.73644175005788 kb_relative_information_score 146.9587811218327 kb_relative_information_score 148.62765950326713 kb_relative_information_score 149.17132454927025 kb_relative_information_score 139.2996746105161 mean_absolute_error 0.06340616468824094 mean_absolute_error 0.06404736466073219 mean_absolute_error 0.06827663235093454 mean_absolute_error 0.06276483586045567 mean_absolute_error 0.06277229867490403 mean_absolute_error 0.06348485854110479 mean_absolute_error 0.06319949892499163 mean_absolute_error 0.06185019459913464 mean_absolute_error 0.06088982273932712 mean_absolute_error 0.07190706649887584 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 0.7678125641721243 [0.909091,0.586207,0.809524,1,0.636364,0.894737,0.47619,0.777778,1,0.588235] precision 0.7672895306447939 [0.863636,0.714286,0.8,0.842105,0.6875,0.727273,0.571429,0.8,1,0.666667] precision 0.7334090909090909 [1,0.541667,1,0.866667,0.5,0.833333,0.416667,0.8,0.909091,0.466667] precision 0.7500189786059351 [1,0.521739,0.826087,0.761905,0.608696,0.875,0.611111,0.695652,1,0.6] precision 0.722443498318355 [0.952381,0.5,0.944444,0.882353,0.769231,0.592593,0.478261,0.655172,0.95,0.5] precision 0.7816037252221463 [0.952381,0.636364,0.909091,0.8125,0.666667,0.947368,0.5,0.791667,1,0.6] precision 0.7761930928157007 [0.909091,0.551724,0.9375,0.882353,0.916667,0.68,0.521739,0.72,1,0.642857] precision 0.779441391941392 [1,0.538462,0.944444,0.809524,0.722222,0.875,0.5,0.833333,1,0.571429] precision 0.7549857950786744 [1,0.916667,0.909091,0.882353,0.583333,0.684211,0.388889,0.730769,1,0.454545] precision 0.7354245509392568 [0.909091,0.5625,0.941176,0.705882,0.764706,0.933333,0.384615,0.8,0.882353,0.470588] predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.71 predictive_accuracy 0.745 predictive_accuracy 0.715 predictive_accuracy 0.78 predictive_accuracy 0.75 predictive_accuracy 0.76 predictive_accuracy 0.745 predictive_accuracy 0.71 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 0.75 [1,0.85,0.85,0.7,0.7,0.85,0.5,0.7,0.85,0.5] recall 0.76 [0.95,0.75,0.8,0.8,0.55,0.8,0.8,0.8,0.85,0.5] recall 0.71 [1,0.65,0.85,0.65,0.75,0.75,0.5,0.6,1,0.35] recall 0.745 [1,0.6,0.95,0.8,0.7,0.7,0.55,0.8,0.9,0.45] recall 0.715 [1,0.45,0.85,0.75,0.5,0.8,0.55,0.95,0.95,0.35] recall 0.78 [1,0.7,1,0.65,0.7,0.9,0.55,0.95,0.9,0.45] recall 0.75 [1,0.8,0.75,0.75,0.55,0.85,0.6,0.9,0.85,0.45] recall 0.76 [0.95,0.7,0.85,0.85,0.65,0.7,0.55,1,0.75,0.6] recall 0.745 [1,0.55,1,0.75,0.7,0.65,0.35,0.95,1,0.5] recall 0.71 [1,0.9,0.8,0.6,0.65,0.7,0.5,0.8,0.75,0.4] relative_absolute_error 0.35225647049022785 relative_absolute_error 0.3558186925596237 relative_absolute_error 0.37931462417185896 relative_absolute_error 0.3486935325580874 relative_absolute_error 0.34873499263835606 relative_absolute_error 0.3526936585616937 relative_absolute_error 0.351108327361065 relative_absolute_error 0.34361219221741507 relative_absolute_error 0.3382767929962621 relative_absolute_error 0.3994837027715329 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 0.19093224931088965 root_mean_squared_error 0.19626679217700493 root_mean_squared_error 0.21121570008222834 root_mean_squared_error 0.1905768949490584 root_mean_squared_error 0.19439719602047636 root_mean_squared_error 0.18897259099518127 root_mean_squared_error 0.19384088084059845 root_mean_squared_error 0.1884980630907368 root_mean_squared_error 0.18872576067630714 root_mean_squared_error 0.20712899866672155 root_relative_squared_error 0.6364408310362992 root_relative_squared_error 0.6542226405900168 root_relative_squared_error 0.7040523336074281 root_relative_squared_error 0.6352563164968618 root_relative_squared_error 0.6479906534015882 root_relative_squared_error 0.6299086366506046 root_relative_squared_error 0.6461362694686619 root_relative_squared_error 0.628326876969123 root_relative_squared_error 0.6290858689210242 root_relative_squared_error 0.690429995555739 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 111.54114199871401 usercpu_time_millis 109.38523999902827 usercpu_time_millis 107.54703400016297 usercpu_time_millis 112.76997299864888 usercpu_time_millis 108.86778900021454 usercpu_time_millis 136.16807400103426 usercpu_time_millis 110.36128000068857 usercpu_time_millis 110.098219000065 usercpu_time_millis 108.58379100045568 usercpu_time_millis 119.29442300061055 usercpu_time_millis_testing 1.397841999278171 usercpu_time_millis_testing 1.3988459995744051 usercpu_time_millis_testing 1.3657099998454214 usercpu_time_millis_testing 1.3590889993793098 usercpu_time_millis_testing 1.370507000501675 usercpu_time_millis_testing 1.6158120006366516 usercpu_time_millis_testing 1.4136940008029342 usercpu_time_millis_testing 1.4311790000647306 usercpu_time_millis_testing 1.373467000121309 usercpu_time_millis_testing 1.4004710001245257 usercpu_time_millis_training 110.14329999943584 usercpu_time_millis_training 107.98639399945387 usercpu_time_millis_training 106.18132400031755 usercpu_time_millis_training 111.41088399926957 usercpu_time_millis_training 107.49728199971287 usercpu_time_millis_training 134.5522620003976 usercpu_time_millis_training 108.94758599988563 usercpu_time_millis_training 108.66704000000027 usercpu_time_millis_training 107.21032400033437 usercpu_time_millis_training 117.89395200048602