10075859 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) 8000793 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 18 8783 min_samples_split 14 8783 min_weight_fraction_leaf 0.0 8783 presort false 8783 random_state 64482 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 21072254 description https://api.openml.org/data/download/21072254/description.xml -1 21072255 predictions https://api.openml.org/data/download/21072255/predictions.arff area_under_roc_curve 0.9461863888888888 [0.993903,0.900633,0.970886,0.94519,0.931783,0.952653,0.902783,0.974076,0.979414,0.910542] average_cost 0 f_measure 0.7443955285685002 [0.953317,0.638581,0.895833,0.74813,0.675258,0.810127,0.496241,0.844869,0.934673,0.446927] kappa 0.7183333333333334 kb_relative_information_score 1505.974428109742 mean_absolute_error 0.060941723269864446 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7460705512065019 [0.937198,0.573705,0.934783,0.746269,0.696809,0.820513,0.497487,0.808219,0.939394,0.506329] predictive_accuracy 0.7465 prior_entropy 3.321928094887362 recall 0.7465 [0.97,0.72,0.86,0.75,0.655,0.8,0.495,0.885,0.93,0.4] relative_absolute_error 0.3385651292770142 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18918991520393932 root_relative_squared_error 0.630633050679788 total_cost 0 area_under_roc_curve 0.950388888888889 [0.999583,0.933472,0.964861,0.904028,0.949861,0.997778,0.890278,0.966111,0.9975,0.900417] area_under_roc_curve 0.9209722222222222 [0.974306,0.913056,0.9375,0.928194,0.811528,0.872222,0.927917,0.988056,0.947778,0.909167] area_under_roc_curve 0.9455277777777776 [0.998194,0.907917,0.943611,0.911944,0.969306,0.977222,0.893889,0.943611,0.998194,0.911389] area_under_roc_curve 0.9438472222222223 [0.997778,0.87375,0.971667,0.960417,0.955556,0.930833,0.923056,0.966528,0.973611,0.885278] area_under_roc_curve 0.9458888888888888 [1,0.876528,0.964306,0.951806,0.966806,0.960833,0.921944,0.957361,0.996111,0.863194] area_under_roc_curve 0.9567499999999999 [1,0.927778,0.999028,0.977361,0.935278,0.940139,0.894444,0.984028,0.99875,0.910694] area_under_roc_curve 0.9539305555555555 [0.999722,0.89375,0.97,0.956944,0.953611,0.955972,0.960833,0.961944,0.974444,0.912083] area_under_roc_curve 0.9494027777777777 [0.973472,0.854861,0.999444,0.946944,0.939167,0.988611,0.9075,0.992361,0.942222,0.949444] area_under_roc_curve 0.9679722222222223 [0.999583,0.901944,0.998194,0.989722,0.950833,0.970556,0.922222,0.995694,1,0.950972] area_under_roc_curve 0.9310694444444446 [0.997222,0.911944,0.965833,0.937222,0.886667,0.939583,0.798194,0.991389,0.968889,0.91375] 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 0.7461056755732267 [0.97561,0.64,0.842105,0.8,0.73913,0.923077,0.465116,0.8,0.923077,0.352941] f_measure 0.7217268389637558 [0.95,0.681818,0.833333,0.761905,0.594595,0.684211,0.439024,0.837209,0.947368,0.487805] f_measure 0.6895847238800918 [0.95,0.595745,0.918919,0.466667,0.73913,0.755556,0.390244,0.871795,0.904762,0.30303] f_measure 0.7219420406915127 [0.904762,0.585366,0.923077,0.76,0.55,0.736842,0.615385,0.809524,0.947368,0.387097] f_measure 0.7309691933405023 [0.97561,0.590909,0.888889,0.744186,0.684211,0.789474,0.457143,0.782609,0.97561,0.421053] f_measure 0.7674703029285442 [0.97561,0.666667,0.947368,0.769231,0.628571,0.837209,0.529412,0.844444,0.904762,0.571429] 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 0.7478328527487359 [0.95,0.638298,0.9,0.7,0.727273,0.871795,0.488889,0.837209,0.864865,0.5] f_measure 0.7861154262950296 [0.95,0.627451,0.894737,0.837209,0.717949,0.857143,0.512821,0.9,0.97561,0.588235] f_measure 0.7376730666484095 [0.930233,0.697674,0.883721,0.8,0.606061,0.888889,0.444444,0.904762,0.926829,0.294118] kappa 0.7166666666666667 kappa 0.6888888888888889 kappa 0.6666666666666666 kappa 0.7 kappa 0.7055555555555556 kappa 0.75 kappa 0.7611111111111112 kappa 0.7166666666666667 kappa 0.7611111111111112 kappa 0.7166666666666667 kb_relative_information_score 150.79637526979525 kb_relative_information_score 145.3048148317497 kb_relative_information_score 143.447833678979 kb_relative_information_score 147.62511177292822 kb_relative_information_score 148.9543008457823 kb_relative_information_score 153.2779809070372 kb_relative_information_score 157.0848487494157 kb_relative_information_score 150.79702009612728 kb_relative_information_score 159.53149329013527 kb_relative_information_score 149.15464866780442 mean_absolute_error 0.06160489751280008 mean_absolute_error 0.06573241821203475 mean_absolute_error 0.06759388643201253 mean_absolute_error 0.06152449373306724 mean_absolute_error 0.06259965500449369 mean_absolute_error 0.057363003119082955 mean_absolute_error 0.05458017723889306 mean_absolute_error 0.06144779426045004 mean_absolute_error 0.0537940955384758 mean_absolute_error 0.0631768116473339 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 0.7653206874488341 [0.952381,0.533333,0.888889,0.933333,0.653846,0.947368,0.434783,0.933333,0.947368,0.428571] precision 0.7296424373438439 [0.95,0.625,0.9375,0.727273,0.647059,0.722222,0.428571,0.782609,1,0.47619] precision 0.7026305643674065 [0.95,0.518519,1,0.7,0.653846,0.68,0.380952,0.894737,0.863636,0.384615] precision 0.7293305232778916 [0.863636,0.571429,0.947368,0.633333,0.55,0.777778,0.631579,0.772727,1,0.545455] precision 0.736772177098264 [0.952381,0.541667,1,0.695652,0.722222,0.833333,0.533333,0.692308,0.952381,0.444444] precision 0.7762385410165732 [0.952381,0.571429,1,0.789474,0.733333,0.782609,0.642857,0.76,0.863636,0.666667] precision 0.790701017249005 [1,0.75,0.947368,0.789474,0.714286,0.708333,0.705882,0.791667,1,0.5] precision 0.7649654486978151 [0.95,0.555556,0.9,0.7,0.923077,0.894737,0.44,0.782609,0.941176,0.5625] precision 0.8023006733758191 [0.95,0.516129,0.944444,0.782609,0.736842,1,0.526316,0.9,0.952381,0.714286] precision 0.7442597981728417 [0.869565,0.652174,0.826087,0.8,0.769231,1,0.4,0.863636,0.904762,0.357143] predictive_accuracy 0.745 predictive_accuracy 0.72 predictive_accuracy 0.7 predictive_accuracy 0.73 predictive_accuracy 0.735 predictive_accuracy 0.775 predictive_accuracy 0.785 predictive_accuracy 0.745 predictive_accuracy 0.785 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 [1,0.8,0.8,0.7,0.85,0.9,0.5,0.7,0.9,0.3] recall 0.72 [0.95,0.75,0.75,0.8,0.55,0.65,0.45,0.9,0.9,0.5] recall 0.7 [0.95,0.7,0.85,0.35,0.85,0.85,0.4,0.85,0.95,0.25] recall 0.73 [0.95,0.6,0.9,0.95,0.55,0.7,0.6,0.85,0.9,0.3] recall 0.735 [1,0.65,0.8,0.8,0.65,0.75,0.4,0.9,1,0.4] recall 0.775 [1,0.8,0.9,0.75,0.55,0.9,0.45,0.95,0.95,0.5] recall 0.785 [0.95,0.6,0.9,0.75,0.75,0.85,0.6,0.95,0.95,0.55] recall 0.745 [0.95,0.75,0.9,0.7,0.6,0.85,0.55,0.9,0.8,0.45] recall 0.785 [0.95,0.8,0.85,0.9,0.7,0.75,0.5,0.9,1,0.5] recall 0.745 [1,0.75,0.95,0.8,0.5,0.8,0.5,0.95,0.95,0.25] relative_absolute_error 0.3422494306266675 relative_absolute_error 0.36518010117797123 relative_absolute_error 0.3755215912889589 relative_absolute_error 0.34180274296148505 relative_absolute_error 0.3477758611360764 relative_absolute_error 0.31868335066157233 relative_absolute_error 0.30322320688273957 relative_absolute_error 0.3413766347802783 relative_absolute_error 0.29885608632486593 relative_absolute_error 0.3509822869296331 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 0.19165415596256813 root_mean_squared_error 0.20351821630504083 root_mean_squared_error 0.20208702497702158 root_mean_squared_error 0.19247728212420018 root_mean_squared_error 0.19260066700445583 root_mean_squared_error 0.18048813031862002 root_mean_squared_error 0.17575509989104315 root_mean_squared_error 0.18790559102559726 root_mean_squared_error 0.16825373544511132 root_mean_squared_error 0.19419557822192932 root_relative_squared_error 0.6388471865418942 root_relative_squared_error 0.6783940543501364 root_relative_squared_error 0.6736234165900724 root_relative_squared_error 0.641590940414001 root_relative_squared_error 0.6420022233481865 root_relative_squared_error 0.6016271010620671 root_relative_squared_error 0.5858503329701442 root_relative_squared_error 0.6263519700853246 root_relative_squared_error 0.5608457848170382 root_relative_squared_error 0.6473185940730981 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 628.1641579998904 usercpu_time_millis 505.90030100011063 usercpu_time_millis 427.6136050000332 usercpu_time_millis 426.65345399973376 usercpu_time_millis 428.1408509998528 usercpu_time_millis 422.0565150001221 usercpu_time_millis 438.6805749998075 usercpu_time_millis 448.4552609999355 usercpu_time_millis 422.53314300000966 usercpu_time_millis 430.6742750000012 usercpu_time_millis_testing 1.8005980000452837 usercpu_time_millis_testing 1.3047229999756382 usercpu_time_millis_testing 1.2954520000221237 usercpu_time_millis_testing 1.2975499998901796 usercpu_time_millis_testing 1.2969459999112587 usercpu_time_millis_testing 1.2909480001326301 usercpu_time_millis_testing 1.300013999980365 usercpu_time_millis_testing 1.2969179999799962 usercpu_time_millis_testing 1.2914930000533786 usercpu_time_millis_testing 1.3152710000667867 usercpu_time_millis_training 626.3635599998452 usercpu_time_millis_training 504.595578000135 usercpu_time_millis_training 426.3181530000111 usercpu_time_millis_training 425.3559039998436 usercpu_time_millis_training 426.8439049999415 usercpu_time_millis_training 420.76556699998946 usercpu_time_millis_training 437.38056099982714 usercpu_time_millis_training 447.1583429999555 usercpu_time_millis_training 421.2416499999563 usercpu_time_millis_training 429.35900399993443