5942428 1 Jan van Rijn 14 Supervised Classification 6970 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.weight_boosting.AdaBoostClassifier(base_estimator=sklearn.tree.tree.DecisionTreeClassifier))(1) 3977174 class_weight null 6941 criterion "gini" 6941 max_depth 7 6941 max_features null 6941 max_leaf_nodes null 6941 min_impurity_split 1e-07 6941 min_samples_leaf 1 6941 min_samples_split 2 6941 min_weight_fraction_leaf 0.0 6941 presort false 6941 random_state 55870 6941 splitter "best" 6941 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse false 6948 threshold 0.0 6949 algorithm "SAMME.R" 6971 learning_rate 0.016382925327100624 6971 n_estimators 266 6971 random_state 64857 6971 openml-pimp openml-python Sklearn_0.18.1. study_71 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 12808369 description https://api.openml.org/data/download/12808369/description.xml -1 12808370 predictions https://api.openml.org/data/download/12808370/predictions.arff area_under_roc_curve 0.9745388888888887 [0.999967,0.963629,0.991103,0.988626,0.971517,0.990081,0.930822,0.985067,0.995983,0.928594] average_cost 0 f_measure 0.8129410644828556 [0.987406,0.789873,0.927835,0.879397,0.770026,0.892231,0.498728,0.898551,0.962217,0.523148] kappa 0.79 kb_relative_information_score 1629.8595860346834 mean_absolute_error 0.039991635741941076 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8161015867831779 [0.994924,0.8,0.957447,0.883838,0.796791,0.894472,0.507772,0.869159,0.969543,0.487069] predictive_accuracy 0.8109999999999999 prior_entropy 3.321928094887362 recall 0.811 [0.98,0.78,0.9,0.875,0.745,0.89,0.49,0.93,0.955,0.565] relative_absolute_error 0.22217575412188803 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1781914646506686 root_relative_squared_error 0.5939715488355528 total_cost 0 area_under_roc_curve 0.9778611111111111 [1,0.976111,0.996944,0.996111,0.968333,1,0.919722,0.9925,1,0.928889] area_under_roc_curve 0.9757500000000001 [1,0.962361,0.994722,0.984306,0.963333,0.980278,0.943611,0.986389,0.996944,0.945556] area_under_roc_curve 0.9623888888888888 [1,0.962222,0.988333,0.961389,0.975278,0.988611,0.875833,0.96,1,0.912222] area_under_roc_curve 0.9715555555555554 [1,0.944722,0.981389,0.994444,0.9775,0.994167,0.933333,0.986667,0.998889,0.904444] area_under_roc_curve 0.98075 [1,0.963333,0.998889,0.991944,0.988889,0.993611,0.951111,0.973333,1,0.946389] area_under_roc_curve 0.9819444444444443 [1,0.9775,1,0.992778,0.975556,0.990278,0.962778,0.990556,0.989167,0.940833] area_under_roc_curve 0.97625 [0.999722,0.959722,0.991389,0.993056,0.985,0.973611,0.946667,0.988333,1,0.925] area_under_roc_curve 0.9796388888888888 [1,0.970556,0.999444,0.984167,0.966944,0.998611,0.949444,0.991389,0.982222,0.953611] area_under_roc_curve 0.9766666666666667 [1,0.948611,1,0.996944,0.980833,0.985833,0.930833,0.998056,1,0.925556] area_under_roc_curve 0.9687222222222225 [1,0.977778,0.972222,0.996944,0.948611,0.999167,0.898056,0.989444,0.990278,0.914722] 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 0.8125341934062864 [1,0.790698,0.918919,0.9,0.8,0.974359,0.388889,0.810811,1,0.541667] f_measure 0.7658244969477317 [0.974359,0.769231,0.864865,0.85,0.648649,0.780488,0.473684,0.863636,0.9,0.533333] f_measure 0.7734633644774851 [0.974359,0.780488,0.947368,0.777778,0.714286,0.857143,0.368421,0.894737,0.97561,0.444444] f_measure 0.809833816138164 [0.974359,0.777778,0.974359,0.904762,0.782609,0.871795,0.486486,0.9,0.95,0.47619] f_measure 0.8429168369386898 [0.97561,0.820513,0.947368,0.904762,0.777778,0.857143,0.611111,0.883721,1,0.651163] f_measure 0.8308380237648529 [1,0.829268,0.974359,0.85,0.780488,0.923077,0.55,0.926829,0.974359,0.5] f_measure 0.8026880368740834 [0.974359,0.7,0.864865,0.85,0.820513,0.871795,0.55,0.883721,1,0.511628] f_measure 0.8487627835241055 [1,0.761905,0.923077,0.894737,0.842105,0.947368,0.666667,0.952381,0.894737,0.604651] f_measure 0.8454682363077146 [1,0.857143,0.97561,0.930233,0.8,0.9,0.461538,0.952381,1,0.577778] f_measure 0.7926546196630053 [1,0.820513,0.883721,0.918919,0.727273,0.95,0.425532,0.909091,0.923077,0.368421] kappa 0.788888888888889 kappa 0.7388888888888889 kappa 0.7444444444444445 kappa 0.788888888888889 kappa 0.8277777777777777 kappa 0.8111111111111111 kappa 0.7777777777777778 kappa 0.8277777777777777 kappa 0.8277777777777777 kappa 0.7666666666666667 kb_relative_information_score 164.2601512369075 kb_relative_information_score 157.25281194168326 kb_relative_information_score 154.38473391241507 kb_relative_information_score 162.41891819153366 kb_relative_information_score 166.2740448145178 kb_relative_information_score 167.79777549615486 kb_relative_information_score 161.16434832975264 kb_relative_information_score 169.2671669947562 kb_relative_information_score 169.54192771641468 kb_relative_information_score 157.49770740054825 mean_absolute_error 0.04034677746413828 mean_absolute_error 0.04584248386461712 mean_absolute_error 0.047200872426927096 mean_absolute_error 0.04083666026598481 mean_absolute_error 0.038388201309932514 mean_absolute_error 0.03445558321023292 mean_absolute_error 0.04116289888685824 mean_absolute_error 0.03452757107215315 mean_absolute_error 0.033148235327766215 mean_absolute_error 0.04400707359080121 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 0.8223269090244792 [1,0.73913,1,0.9,0.8,1,0.4375,0.882353,1,0.464286] precision 0.7720103936311367 [1,0.789474,0.941176,0.85,0.705882,0.761905,0.5,0.791667,0.9,0.48] precision 0.7822619047619047 [1,0.761905,1,0.875,0.681818,0.818182,0.388889,0.944444,0.952381,0.4] precision 0.8159638117300656 [1,0.875,1,0.863636,0.692308,0.894737,0.529412,0.9,0.95,0.454545] precision 0.847358700605268 [0.952381,0.842105,1,0.863636,0.875,0.818182,0.6875,0.826087,1,0.608696] precision 0.8323558897243107 [1,0.809524,1,0.85,0.761905,0.947368,0.55,0.904762,1,0.5] precision 0.8082366401938349 [1,0.7,0.941176,0.85,0.842105,0.894737,0.55,0.826087,1,0.478261] precision 0.8563090862862031 [1,0.727273,0.947368,0.944444,0.888889,1,0.636364,0.909091,0.944444,0.565217] precision 0.8558054622722815 [1,1,0.952381,0.869565,0.933333,0.9,0.473684,0.909091,1,0.52] precision 0.808123015640178 [1,0.842105,0.826087,1,0.923077,0.95,0.37037,0.833333,0.947368,0.388889] predictive_accuracy 0.81 predictive_accuracy 0.765 predictive_accuracy 0.77 predictive_accuracy 0.81 predictive_accuracy 0.845 predictive_accuracy 0.83 predictive_accuracy 0.8 predictive_accuracy 0.845 predictive_accuracy 0.845 predictive_accuracy 0.79 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 0.81 [1,0.85,0.85,0.9,0.8,0.95,0.35,0.75,1,0.65] recall 0.765 [0.95,0.75,0.8,0.85,0.6,0.8,0.45,0.95,0.9,0.6] recall 0.77 [0.95,0.8,0.9,0.7,0.75,0.9,0.35,0.85,1,0.5] recall 0.81 [0.95,0.7,0.95,0.95,0.9,0.85,0.45,0.9,0.95,0.5] recall 0.845 [1,0.8,0.9,0.95,0.7,0.9,0.55,0.95,1,0.7] recall 0.83 [1,0.85,0.95,0.85,0.8,0.9,0.55,0.95,0.95,0.5] recall 0.8 [0.95,0.7,0.8,0.85,0.8,0.85,0.55,0.95,1,0.55] recall 0.845 [1,0.8,0.9,0.85,0.8,0.9,0.7,1,0.85,0.65] recall 0.845 [1,0.75,1,1,0.7,0.9,0.45,1,1,0.65] recall 0.79 [1,0.8,0.95,0.85,0.6,0.95,0.5,1,0.9,0.35] relative_absolute_error 0.22414876368965736 relative_absolute_error 0.25468046591453986 relative_absolute_error 0.2622270690384842 relative_absolute_error 0.22687033481102695 relative_absolute_error 0.21326778505518088 relative_absolute_error 0.19141990672351641 relative_absolute_error 0.22868277159365719 relative_absolute_error 0.19181983928973992 relative_absolute_error 0.18415686293203476 relative_absolute_error 0.2444837421711181 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 0.1741429423884889 root_mean_squared_error 0.19332319644535798 root_mean_squared_error 0.200826385259392 root_mean_squared_error 0.17940824388849966 root_mean_squared_error 0.16800811504139174 root_mean_squared_error 0.1680610589716815 root_mean_squared_error 0.18131988237725735 root_mean_squared_error 0.15716973231102746 root_mean_squared_error 0.16021027265149548 root_mean_squared_error 0.1938710934071685 root_relative_squared_error 0.5804764746282967 root_relative_squared_error 0.6444106548178603 root_relative_squared_error 0.6694212841979738 root_relative_squared_error 0.5980274796283325 root_relative_squared_error 0.5600270501379727 root_relative_squared_error 0.5602035299056053 root_relative_squared_error 0.6043996079241916 root_relative_squared_error 0.5238991077034252 root_relative_squared_error 0.534034242171652 root_relative_squared_error 0.6462369780238952 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 26849.537615999998 usercpu_time_millis 26388.998965999996 usercpu_time_millis 26166.686650999996 usercpu_time_millis 26607.98203200001 usercpu_time_millis 26753.68804899998 usercpu_time_millis 26258.822803000014 usercpu_time_millis 27247.432895999995 usercpu_time_millis 26853.599419000006 usercpu_time_millis 26847.12428500001 usercpu_time_millis 26873.712415000056 usercpu_time_millis_testing 99.23633100000018 usercpu_time_millis_testing 91.0287179999969 usercpu_time_millis_testing 90.61130199999923 usercpu_time_millis_testing 96.51550899999961 usercpu_time_millis_testing 90.3496109999935 usercpu_time_millis_testing 95.40512500001341 usercpu_time_millis_testing 98.42166100000327 usercpu_time_millis_testing 89.49044100000947 usercpu_time_millis_testing 116.16629700000658 usercpu_time_millis_testing 99.90606900004195 usercpu_time_millis_training 26750.301284999998 usercpu_time_millis_training 26297.970247999998 usercpu_time_millis_training 26076.075349 usercpu_time_millis_training 26511.46652300001 usercpu_time_millis_training 26663.338437999984 usercpu_time_millis_training 26163.417678 usercpu_time_millis_training 27149.01123499999 usercpu_time_millis_training 26764.108977999997 usercpu_time_millis_training 26730.957988000002 usercpu_time_millis_training 26773.806346000016