10095879 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) 8021013 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 13 8783 min_samples_split 20 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 15911 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 21112295 description https://api.openml.org/data/download/21112295/description.xml -1 21112296 predictions https://api.openml.org/data/download/21112296/predictions.arff area_under_roc_curve 0.9388676388888889 [0.993649,0.901942,0.967147,0.945329,0.910175,0.951176,0.890892,0.972689,0.980038,0.87564] average_cost 0 f_measure 0.7509379272705822 [0.948148,0.672897,0.895288,0.769976,0.686717,0.829016,0.487437,0.835749,0.937343,0.446809] kappa 0.7244444444444444 kb_relative_information_score 1524.5075019246924 mean_absolute_error 0.05759390228897766 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7518142315427974 [0.936585,0.631579,0.93956,0.746479,0.688442,0.860215,0.489899,0.808411,0.939698,0.477273] predictive_accuracy 0.752 prior_entropy 3.321928094887362 recall 0.752 [0.96,0.72,0.855,0.795,0.685,0.8,0.485,0.865,0.935,0.42] relative_absolute_error 0.3199661238276438 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.19004775347648453 root_relative_squared_error 0.6334925115882721 total_cost 0 area_under_roc_curve 0.9460972222222224 [1,0.965139,0.964444,0.933194,0.932778,0.994583,0.875694,0.992639,0.9975,0.805] area_under_roc_curve 0.9116805555555557 [0.971528,0.910556,0.919861,0.929722,0.845556,0.8975,0.840556,0.988056,0.948056,0.865417] area_under_roc_curve 0.9384999999999999 [0.998889,0.898472,0.945139,0.868056,0.972222,0.990694,0.904167,0.946528,0.999722,0.861111] area_under_roc_curve 0.9257361111111111 [0.996667,0.860556,0.971806,0.987778,0.911806,0.879444,0.832778,0.940278,0.974583,0.901667] area_under_roc_curve 0.9397083333333334 [1,0.902917,0.966111,0.934028,0.948333,0.967917,0.920278,0.928889,0.996528,0.832083] area_under_roc_curve 0.9481388888888889 [0.999861,0.944167,0.998472,0.963056,0.906667,0.935833,0.890556,0.984861,0.99875,0.859167] area_under_roc_curve 0.9513333333333334 [0.999722,0.896111,0.9475,0.961111,0.931389,0.978194,0.944306,0.984167,0.974583,0.89625] area_under_roc_curve 0.9366388888888889 [0.973611,0.886528,0.999444,0.941389,0.835694,0.993889,0.921528,0.987222,0.945278,0.881806] area_under_roc_curve 0.9650972222222224 [0.999722,0.867222,0.998333,0.991944,0.959167,0.943333,0.959722,0.989167,1,0.942361] area_under_roc_curve 0.9290416666666667 [0.996389,0.89125,0.962222,0.941111,0.8625,0.937917,0.821111,0.991944,0.969167,0.916806] 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 0.7415288558595357 [0.97561,0.652174,0.842105,0.820513,0.790698,0.923077,0.410256,0.789474,0.878049,0.333333] f_measure 0.6890446332734075 [0.894737,0.697674,0.833333,0.780488,0.571429,0.648649,0.1875,0.829268,0.947368,0.5] f_measure 0.7328552095521478 [0.95,0.638298,0.918919,0.666667,0.755556,0.878049,0.409091,0.833333,0.97561,0.30303] f_measure 0.7602176053147004 [0.904762,0.651163,0.923077,0.826087,0.634146,0.777778,0.571429,0.810811,0.947368,0.555556] f_measure 0.7080861660191409 [0.97561,0.595745,0.888889,0.702703,0.619048,0.842105,0.363636,0.727273,0.97561,0.390244] f_measure 0.7749359065411768 [0.97561,0.782609,0.947368,0.837209,0.628571,0.857143,0.484848,0.790698,0.904762,0.540541] f_measure 0.7810601303458446 [0.974359,0.666667,0.923077,0.761905,0.75,0.761905,0.734694,0.863636,0.974359,0.4] f_measure 0.7537603366673133 [0.95,0.651163,0.9,0.651163,0.628571,0.9,0.564103,0.863636,0.864865,0.564103] f_measure 0.8025867780160449 [0.95,0.702703,0.894737,0.826087,0.8,0.823529,0.585366,0.888889,0.97561,0.578947] f_measure 0.7389099817175219 [0.930233,0.7,0.878049,0.8,0.666667,0.864865,0.434783,0.952381,0.926829,0.235294] kappa 0.7166666666666667 kappa 0.6555555555555556 kappa 0.7055555555555556 kappa 0.7333333333333334 kappa 0.6777777777777777 kappa 0.7611111111111112 kappa 0.7666666666666667 kappa 0.7277777777777777 kappa 0.7833333333333334 kappa 0.7166666666666667 kb_relative_information_score 153.84700312204703 kb_relative_information_score 142.3514178921682 kb_relative_information_score 150.62718689333002 kb_relative_information_score 151.5496650850865 kb_relative_information_score 148.95149243228227 kb_relative_information_score 154.64822676897526 kb_relative_information_score 158.18532220279084 kb_relative_information_score 151.73313348724722 kb_relative_information_score 164.1625474497404 kb_relative_information_score 148.4515065910405 mean_absolute_error 0.05509648424166727 mean_absolute_error 0.06815682404746198 mean_absolute_error 0.05900579145006587 mean_absolute_error 0.057103534958333674 mean_absolute_error 0.06113335379017262 mean_absolute_error 0.055808078687439255 mean_absolute_error 0.05136812304019395 mean_absolute_error 0.059845867258853484 mean_absolute_error 0.046572348561049914 mean_absolute_error 0.06184861685453386 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 0.7433325859241191 [0.952381,0.576923,0.888889,0.842105,0.73913,0.947368,0.421053,0.833333,0.857143,0.375] precision 0.7013133827312217 [0.944444,0.652174,0.9375,0.761905,0.545455,0.705882,0.25,0.809524,1,0.40625] precision 0.7442194749694748 [0.95,0.555556,1,0.75,0.68,0.857143,0.375,0.9375,0.952381,0.384615] precision 0.7697324773310774 [0.863636,0.608696,0.947368,0.730769,0.619048,0.875,0.545455,0.882353,1,0.625] precision 0.7176941794588854 [0.952381,0.518519,1,0.764706,0.590909,0.888889,0.461538,0.666667,0.952381,0.380952] precision 0.7785199199777204 [0.952381,0.692308,1,0.782609,0.733333,0.818182,0.615385,0.73913,0.863636,0.588235] precision 0.7914270197437167 [1,0.75,0.947368,0.727273,0.75,0.727273,0.62069,0.791667,1,0.6] precision 0.7591462511778166 [0.95,0.608696,0.9,0.608696,0.733333,0.9,0.578947,0.791667,0.941176,0.578947] precision 0.8124840192487252 [0.95,0.764706,0.944444,0.730769,0.8,1,0.571429,0.8,0.952381,0.611111] precision 0.7402067029304882 [0.869565,0.7,0.857143,0.8,0.75,0.941176,0.384615,0.909091,0.904762,0.285714] predictive_accuracy 0.745 predictive_accuracy 0.69 predictive_accuracy 0.735 predictive_accuracy 0.76 predictive_accuracy 0.71 predictive_accuracy 0.785 predictive_accuracy 0.79 predictive_accuracy 0.755 predictive_accuracy 0.805 predictive_accuracy 0.745 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 [1,0.75,0.8,0.8,0.85,0.9,0.4,0.75,0.9,0.3] recall 0.69 [0.85,0.75,0.75,0.8,0.6,0.6,0.15,0.85,0.9,0.65] recall 0.735 [0.95,0.75,0.85,0.6,0.85,0.9,0.45,0.75,1,0.25] recall 0.76 [0.95,0.7,0.9,0.95,0.65,0.7,0.6,0.75,0.9,0.5] recall 0.71 [1,0.7,0.8,0.65,0.65,0.8,0.3,0.8,1,0.4] recall 0.785 [1,0.9,0.9,0.9,0.55,0.9,0.4,0.85,0.95,0.5] recall 0.79 [0.95,0.6,0.9,0.8,0.75,0.8,0.9,0.95,0.95,0.3] recall 0.755 [0.95,0.7,0.9,0.7,0.55,0.9,0.55,0.95,0.8,0.55] recall 0.805 [0.95,0.65,0.85,0.95,0.8,0.7,0.6,1,1,0.55] recall 0.745 [1,0.7,0.9,0.8,0.6,0.8,0.5,1,0.95,0.2] relative_absolute_error 0.30609157912037405 relative_absolute_error 0.3786490224859003 relative_absolute_error 0.3278099525003663 relative_absolute_error 0.3172418608796319 relative_absolute_error 0.3396297432787372 relative_absolute_error 0.3100448815968851 relative_absolute_error 0.2853784613344111 relative_absolute_error 0.3324770403269642 relative_absolute_error 0.25873526978361094 relative_absolute_error 0.3436034269696329 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 0.18904290565301207 root_mean_squared_error 0.21372669193629037 root_mean_squared_error 0.19114306676835577 root_mean_squared_error 0.19316535185216954 root_mean_squared_error 0.1978144919625441 root_mean_squared_error 0.18140021242608942 root_mean_squared_error 0.1784572025038974 root_mean_squared_error 0.1896794153921646 root_mean_squared_error 0.16261344710488365 root_mean_squared_error 0.1990267435146478 root_relative_squared_error 0.6301430188433739 root_relative_squared_error 0.7124223064543017 root_relative_squared_error 0.6371435558945195 root_relative_squared_error 0.6438845061738988 root_relative_squared_error 0.6593816398751474 root_relative_squared_error 0.6046673747536317 root_relative_squared_error 0.5948573416796583 root_relative_squared_error 0.6322647179738824 root_relative_squared_error 0.5420448236829458 root_relative_squared_error 0.6634224783821598 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 665.3999019945331 usercpu_time_millis 502.60639900079696 usercpu_time_millis 496.26826100211474 usercpu_time_millis 489.42988400085596 usercpu_time_millis 476.7316099969321 usercpu_time_millis 491.13281999962055 usercpu_time_millis 513.6975950008491 usercpu_time_millis 518.9715089945821 usercpu_time_millis 489.53143999824533 usercpu_time_millis 494.6861979988171 usercpu_time_millis_testing 2.019544997892808 usercpu_time_millis_testing 1.6567729981034063 usercpu_time_millis_testing 1.6301420000672806 usercpu_time_millis_testing 1.522108999779448 usercpu_time_millis_testing 1.4797959993302356 usercpu_time_millis_testing 1.6994399993564002 usercpu_time_millis_testing 1.6943289992923383 usercpu_time_millis_testing 1.74883199724718 usercpu_time_millis_testing 1.6485599990119226 usercpu_time_millis_testing 1.6910400008782744 usercpu_time_millis_training 663.3803569966403 usercpu_time_millis_training 500.94962600269355 usercpu_time_millis_training 494.63811900204746 usercpu_time_millis_training 487.9077750010765 usercpu_time_millis_training 475.25181399760186 usercpu_time_millis_training 489.43338000026415 usercpu_time_millis_training 512.0032660015568 usercpu_time_millis_training 517.2226769973349 usercpu_time_millis_training 487.8828799992334 usercpu_time_millis_training 492.9951579979388