10070727 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) 7995616 axis 0 8778 copy true 8778 missing_values "NaN" 8778 strategy "most_frequent" 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 17 8783 min_samples_split 19 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 13036 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 21061990 description https://api.openml.org/data/download/21061990/description.xml -1 21061994 predictions https://api.openml.org/data/download/21061994/predictions.arff area_under_roc_curve 0.9376961111111113 [0.993767,0.898944,0.948029,0.928269,0.921081,0.962119,0.88795,0.960989,0.981153,0.89466] average_cost 0 f_measure 0.7389082755424954 [0.972973,0.631818,0.883249,0.781671,0.639386,0.778894,0.517162,0.792453,0.929504,0.461972] kappa 0.7094444444444445 kb_relative_information_score 1461.9622626868481 mean_absolute_error 0.06401525907123759 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7446330485912683 [0.956522,0.579167,0.896907,0.847953,0.65445,0.782828,0.476793,0.75,0.972678,0.529032] predictive_accuracy 0.7384999999999999 prior_entropy 3.321928094887362 recall 0.7385 [0.99,0.695,0.87,0.725,0.625,0.775,0.565,0.84,0.89,0.41] relative_absolute_error 0.35564032817353114 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19507200230973548 root_relative_squared_error 0.6502400076991083 total_cost 0 area_under_roc_curve 0.9399027777777778 [0.998056,0.914028,0.92375,0.903333,0.948889,0.994861,0.88,0.954028,0.992639,0.889444] area_under_roc_curve 0.9378194444444443 [0.974722,0.943472,0.908194,0.959028,0.906111,0.908056,0.937917,0.960833,0.970139,0.909722] area_under_roc_curve 0.9006527777777776 [1,0.845833,0.961944,0.899861,0.872639,0.955972,0.803333,0.827917,0.997083,0.841944] area_under_roc_curve 0.948263888888889 [1,0.851111,0.968333,0.984167,0.925972,0.990278,0.921667,0.979167,0.973889,0.888056] area_under_roc_curve 0.9482499999999999 [0.999167,0.891806,0.965556,0.910694,0.955,0.93125,0.912083,0.984167,0.997222,0.935556] area_under_roc_curve 0.9513888888888888 [0.999028,0.895972,0.9975,0.867778,0.9525,0.989028,0.917083,0.988194,0.968056,0.93875] area_under_roc_curve 0.9347916666666666 [0.996806,0.960694,0.861806,0.899722,0.939028,0.955,0.908889,0.979583,0.996806,0.849583] area_under_roc_curve 0.9412083333333332 [0.974444,0.925417,0.939444,0.930417,0.915694,0.989028,0.90375,0.993889,0.949722,0.890278] area_under_roc_curve 0.9428472222222223 [1,0.864583,0.995972,0.984583,0.912917,0.92125,0.846806,0.983333,1,0.919028] area_under_roc_curve 0.9318055555555556 [0.996389,0.901806,0.961944,0.948056,0.891944,0.994444,0.827222,0.963333,0.952361,0.880556] 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 0.7625475631871464 [0.926829,0.731707,0.8,0.820513,0.588235,0.772727,0.666667,0.8,0.947368,0.571429] f_measure 0.6904514106684329 [1,0.530612,0.918919,0.742857,0.612245,0.789474,0.478261,0.516129,0.952381,0.363636] f_measure 0.7377534105430721 [1,0.55814,0.883721,0.780488,0.651163,0.777778,0.564103,0.744186,0.947368,0.470588] f_measure 0.6954238096524427 [0.97561,0.473684,0.894737,0.736842,0.516129,0.708333,0.511628,0.77551,0.95,0.411765] f_measure 0.7597777023290503 [0.97561,0.666667,0.952381,0.722222,0.682927,0.923077,0.488889,0.863636,0.947368,0.375] f_measure 0.7547545444248419 [0.97561,0.666667,0.833333,0.789474,0.6875,0.727273,0.590909,0.8,0.947368,0.529412] f_measure 0.7428849360909011 [0.974359,0.595745,0.894737,0.829268,0.648649,0.777778,0.553191,0.909091,0.857143,0.388889] f_measure 0.7514152457087239 [1,0.6875,0.952381,0.810811,0.636364,0.666667,0.388889,0.826087,1,0.545455] f_measure 0.7237341426505511 [0.952381,0.705882,0.864865,0.75,0.684211,0.8,0.416667,0.863636,0.810811,0.388889] kappa 0.7222222222222222 kappa 0.7388888888888889 kappa 0.6555555555555556 kappa 0.7111111111111111 kappa 0.6722222222222222 kappa 0.7388888888888889 kappa 0.7277777777777777 kappa 0.7111111111111111 kappa 0.7277777777777777 kappa 0.6888888888888889 kb_relative_information_score 146.24181617210098 kb_relative_information_score 147.5892639310022 kb_relative_information_score 138.35194190368048 kb_relative_information_score 149.30553732256115 kb_relative_information_score 145.3297969902832 kb_relative_information_score 150.05195785149826 kb_relative_information_score 149.36284591112656 kb_relative_information_score 147.19761136472445 kb_relative_information_score 148.81259700970827 kb_relative_information_score 139.71889423017055 mean_absolute_error 0.06352070717190106 mean_absolute_error 0.06242882001480363 mean_absolute_error 0.06929176255269008 mean_absolute_error 0.06113019929519924 mean_absolute_error 0.06583642864422902 mean_absolute_error 0.06223684567344581 mean_absolute_error 0.06040099855875402 mean_absolute_error 0.06293991307424396 mean_absolute_error 0.06165868200717218 mean_absolute_error 0.07070823371993305 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 0.7721867167919801 [0.904762,0.714286,0.8,0.842105,0.714286,0.708333,0.571429,0.8,1,0.666667] precision 0.7186496262358331 [1,0.448276,1,0.866667,0.517241,0.833333,0.423077,0.727273,0.909091,0.461538] precision 0.7439454614797865 [1,0.521739,0.826087,0.761905,0.608696,0.875,0.578947,0.695652,1,0.571429] precision 0.7092452042377079 [0.952381,0.5,0.944444,0.777778,0.727273,0.607143,0.478261,0.655172,0.95,0.5] precision 0.7656037252221463 [0.952381,0.636364,0.909091,0.8125,0.666667,0.947368,0.44,0.791667,1,0.5] precision 0.7782499999999999 [0.952381,0.571429,0.9375,0.833333,0.916667,0.666667,0.541667,0.72,1,0.642857] precision 0.7605683940242765 [1,0.518519,0.944444,0.809524,0.705882,0.875,0.481481,0.833333,1,0.4375] precision 0.76439236073524 [1,0.916667,0.909091,0.882353,0.583333,0.684211,0.4375,0.730769,1,0.5] precision 0.7555130561511016 [0.909091,0.580645,0.941176,1,0.722222,0.933333,0.357143,0.791667,0.882353,0.4375] predictive_accuracy 0.75 predictive_accuracy 0.765 predictive_accuracy 0.69 predictive_accuracy 0.74 predictive_accuracy 0.705 predictive_accuracy 0.765 predictive_accuracy 0.755 predictive_accuracy 0.74 predictive_accuracy 0.755 predictive_accuracy 0.72 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 0.765 [0.95,0.75,0.8,0.8,0.5,0.85,0.8,0.8,0.9,0.5] recall 0.69 [1,0.65,0.85,0.65,0.75,0.75,0.55,0.4,1,0.3] recall 0.74 [1,0.6,0.95,0.8,0.7,0.7,0.55,0.8,0.9,0.4] recall 0.705 [1,0.45,0.85,0.7,0.4,0.85,0.55,0.95,0.95,0.35] recall 0.765 [1,0.7,1,0.65,0.7,0.9,0.55,0.95,0.9,0.3] recall 0.755 [1,0.8,0.75,0.75,0.55,0.8,0.65,0.9,0.9,0.45] recall 0.74 [0.95,0.7,0.85,0.85,0.6,0.7,0.65,1,0.75,0.35] recall 0.755 [1,0.55,1,0.75,0.7,0.65,0.35,0.95,1,0.6] recall 0.72 [1,0.9,0.8,0.6,0.65,0.7,0.5,0.95,0.75,0.35] relative_absolute_error 0.3528928176216729 relative_absolute_error 0.3468267778600206 relative_absolute_error 0.3849542364038342 relative_absolute_error 0.3396122183066628 relative_absolute_error 0.3657579369123839 relative_absolute_error 0.34576025374136604 relative_absolute_error 0.33556110310418935 relative_absolute_error 0.34966618374580016 relative_absolute_error 0.34254823337317913 relative_absolute_error 0.3928235206662952 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 0.1944016555112371 root_mean_squared_error 0.19309428596933192 root_mean_squared_error 0.21407459644239935 root_mean_squared_error 0.18900881576867165 root_mean_squared_error 0.19733521123875894 root_mean_squared_error 0.18416732423946872 root_mean_squared_error 0.1903460977438466 root_mean_squared_error 0.19177570410601572 root_mean_squared_error 0.18872858298104572 root_mean_squared_error 0.20594747892036658 root_relative_squared_error 0.6480055183707907 root_relative_squared_error 0.6436476198977735 root_relative_squared_error 0.7135819881413316 root_relative_squared_error 0.6300293858955726 root_relative_squared_error 0.6577840374625302 root_relative_squared_error 0.6138910807982294 root_relative_squared_error 0.634486992479489 root_relative_squared_error 0.6392523470200527 root_relative_squared_error 0.6290952766034861 root_relative_squared_error 0.6864915964012224 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 2258.632095999019 usercpu_time_millis 2055.461334000938 usercpu_time_millis 2106.94820199933 usercpu_time_millis 2189.2500399999335 usercpu_time_millis 2109.5598259989856 usercpu_time_millis 2110.9900450010173 usercpu_time_millis 2071.138408000479 usercpu_time_millis 2120.0165340005697 usercpu_time_millis 2119.8567550000007 usercpu_time_millis 2042.1801829998003 usercpu_time_millis_testing 1.5065069992488134 usercpu_time_millis_testing 1.5459010000995477 usercpu_time_millis_testing 1.6804919996502576 usercpu_time_millis_testing 1.4795380002396996 usercpu_time_millis_testing 1.7064209996533464 usercpu_time_millis_testing 1.4818090003245743 usercpu_time_millis_testing 1.345261000096798 usercpu_time_millis_testing 1.5294920003725565 usercpu_time_millis_testing 1.3617240001622122 usercpu_time_millis_testing 1.3532709999708459 usercpu_time_millis_training 2257.12558899977 usercpu_time_millis_training 2053.9154330008387 usercpu_time_millis_training 2105.26770999968 usercpu_time_millis_training 2187.770501999694 usercpu_time_millis_training 2107.8534049993323 usercpu_time_millis_training 2109.5082360006927 usercpu_time_millis_training 2069.7931470003823 usercpu_time_millis_training 2118.487042000197 usercpu_time_millis_training 2118.4950309998385 usercpu_time_millis_training 2040.8269119998295