10560472 6691 Sergey Redyuk 16 Supervised Classification 18901 sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(7) 8276875 Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0. bootstrap true 18875 class_weight null 18875 criterion "gini" 18875 max_depth null 18875 max_features "auto" 18875 max_leaf_nodes null 18875 min_impurity_split 1e-07 18875 min_samples_leaf 1 18875 min_samples_split 2 18875 min_weight_fraction_leaf 0.0 18875 n_estimators 10 18875 n_jobs 1 18875 oob_score false 18875 random_state 4943 18875 verbose 0 18875 warm_start false 18875 axis 0 18879 copy true 18879 missing_values "NaN" 18879 strategy "median" 18879 verbose 0 18879 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 18901 openml-python Sklearn_0.18.1. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 22047029 description https://api.openml.org/data/download/22047029/description.xml -1 22047030 predictions https://api.openml.org/data/download/22047030/predictions.arff area_under_roc_curve 0.987787638888889 [0.990183,0.991204,0.995207,0.982768,0.996981,0.981479,0.98811,0.997203,0.969008,0.985733] average_cost 0 f_measure 0.9083245717902776 [0.933661,0.896074,0.924205,0.899497,0.925831,0.892308,0.923469,0.937656,0.857143,0.893401] kappa 0.8983333333333333 kb_relative_information_score 0.790606427395347 mean_absolute_error 0.06385000000000028 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.9085 [0.95,0.97,0.945,0.895,0.905,0.87,0.905,0.94,0.825,0.88] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9099412601919403 [0.917874,0.832618,0.904306,0.90404,0.947644,0.915789,0.942708,0.935323,0.891892,0.907216] predictive_accuracy 0.9085 prior_entropy 3.3219280948872383 relative_absolute_error 0.35472222222221284 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.14804728974216344 root_relative_squared_error 0.4934909658072039 total_cost 0 unweighted_recall 0.9085000000000001 [0.95,0.97,0.945,0.895,0.905,0.87,0.905,0.94,0.825,0.88] area_under_roc_curve 0.9866527777777777 [0.989306,0.995556,1,0.982222,0.9975,0.99625,0.958194,0.999167,0.954167,0.994167] area_under_roc_curve 0.9904861111111113 [0.993056,0.992361,0.998056,0.990556,0.996944,0.959444,0.997917,0.990833,0.995972,0.989722] area_under_roc_curve 0.9901250000000001 [0.991667,0.963889,0.9975,0.995972,0.998194,0.978889,0.999722,0.99375,0.9825,0.999167] area_under_roc_curve 0.985777777777778 [0.967778,0.998472,1,0.983194,0.995139,0.961806,0.999167,0.995972,0.995972,0.960278] area_under_roc_curve 0.9782083333333333 [0.961806,0.987222,0.969306,0.983611,0.996111,0.95875,0.964028,0.998333,0.9775,0.985417] area_under_roc_curve 0.9877916666666667 [1,0.999583,0.997917,0.990417,0.999861,0.999722,0.987778,0.998333,0.95375,0.950556] area_under_roc_curve 0.9910972222222222 [0.999861,0.986944,0.999861,0.985833,0.998472,0.983056,0.998472,1,0.964722,0.99375] area_under_roc_curve 0.9858194444444445 [0.998194,0.99125,0.998333,0.990278,0.999722,0.985694,0.996806,0.999444,0.899861,0.998611] area_under_roc_curve 0.9931666666666666 [1,0.99875,0.990833,0.962639,0.997222,0.989028,0.999722,1,0.993472,1] area_under_roc_curve 0.987972222222222 [0.998056,0.998472,1,0.965,0.992917,0.9975,0.976806,0.994861,0.9725,0.983611] 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 0.9189202462744869 [0.926829,0.930233,1,0.923077,0.95,0.904762,0.810811,0.97561,0.820513,0.947368] f_measure 0.8953323368278439 [0.926829,0.863636,0.923077,0.894737,0.864865,0.85,0.904762,0.878049,0.947368,0.9] f_measure 0.9153334812384876 [0.9,0.926829,0.863636,0.926829,0.878049,0.857143,0.974359,0.947368,0.904762,0.974359] f_measure 0.9190044914220213 [0.95,0.883721,0.952381,0.894737,0.95,0.894737,1,0.926829,0.926829,0.810811] f_measure 0.8705994191970547 [0.878049,0.844444,0.918919,0.837209,0.85,0.918919,0.894737,0.952381,0.769231,0.842105] f_measure 0.9038576385617836 [1,0.909091,0.826087,0.95,0.974359,0.923077,0.918919,0.930233,0.842105,0.764706] f_measure 0.9149745250227381 [0.97561,0.926829,0.952381,0.864865,0.974359,0.829268,0.95,0.974359,0.864865,0.837209] f_measure 0.8933333837511316 [0.904762,0.808511,0.926829,0.878049,0.974359,0.864865,0.95,0.923077,0.727273,0.97561] f_measure 0.9450901879464138 [0.95,0.97561,0.923077,0.878049,0.947368,0.9,0.974359,1,0.926829,0.97561] f_measure 0.9040022355853625 [0.926829,0.909091,0.974359,0.95,0.894737,0.97561,0.85,0.864865,0.810811,0.883721] kappa 0.9111111111111112 kappa 0.8833333333333333 kappa 0.9055555555555556 kappa 0.9111111111111112 kappa 0.8555555555555555 kappa 0.8944444444444445 kappa 0.9055555555555556 kappa 0.8833333333333333 kappa 0.9388888888888889 kappa 0.8944444444444445 kb_relative_information_score 0.7950329523766965 kb_relative_information_score 0.7940735247455017 kb_relative_information_score 0.7817072634696757 kb_relative_information_score 0.7970449443467805 kb_relative_information_score 0.7657477476436408 kb_relative_information_score 0.7901527582103585 kb_relative_information_score 0.7872003636032485 kb_relative_information_score 0.8011610447292671 kb_relative_information_score 0.8131102302784844 kb_relative_information_score 0.7808334445494913 mean_absolute_error 0.062099999999999905 mean_absolute_error 0.0629999999999999 mean_absolute_error 0.06719999999999988 mean_absolute_error 0.06069999999999989 mean_absolute_error 0.0679999999999999 mean_absolute_error 0.06519999999999987 mean_absolute_error 0.06539999999999989 mean_absolute_error 0.05989999999999987 mean_absolute_error 0.05999999999999989 mean_absolute_error 0.06699999999999989 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 0.9212171063557522 [0.904762,0.869565,1,0.947368,0.95,0.863636,0.882353,0.952381,0.842105,1] precision 0.9000197128293104 [0.904762,0.791667,0.947368,0.944444,0.941176,0.85,0.863636,0.857143,1,0.9] precision 0.9221969696969697 [0.9,0.904762,0.791667,0.904762,0.857143,1,1,1,0.863636,1] precision 0.9215943505201818 [0.95,0.826087,0.909091,0.944444,0.95,0.944444,1,0.904762,0.904762,0.882353] precision 0.87816494794298 [0.857143,0.76,1,0.782609,0.85,1,0.944444,0.909091,0.789474,0.888889] precision 0.9148496520006819 [1,0.833333,0.730769,0.95,1,0.947368,1,0.869565,0.888889,0.928571] precision 0.9190719212586218 [0.952381,0.904762,0.909091,0.941176,1,0.809524,0.95,1,0.941176,0.782609] precision 0.9043247596343571 [0.863636,0.703704,0.904762,0.857143,1,0.941176,0.95,0.947368,0.923077,0.952381] precision 0.9464035087719297 [0.95,0.952381,0.947368,0.857143,1,0.9,1,1,0.904762,0.952381] precision 0.908453700320708 [0.904762,0.833333,1,0.95,0.944444,0.952381,0.85,0.941176,0.882353,0.826087] predictive_accuracy 0.92 predictive_accuracy 0.895 predictive_accuracy 0.915 predictive_accuracy 0.92 predictive_accuracy 0.87 predictive_accuracy 0.905 predictive_accuracy 0.915 predictive_accuracy 0.895 predictive_accuracy 0.945 predictive_accuracy 0.905 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.34499999999999986 relative_absolute_error 0.34999999999999987 relative_absolute_error 0.3733333333333331 relative_absolute_error 0.337222222222222 relative_absolute_error 0.37777777777777755 relative_absolute_error 0.36222222222222195 relative_absolute_error 0.36333333333333306 relative_absolute_error 0.33277777777777745 relative_absolute_error 0.3333333333333331 relative_absolute_error 0.37222222222222207 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 0.1473770674155242 root_mean_squared_error 0.14666287873896364 root_mean_squared_error 0.1521183749584512 root_mean_squared_error 0.1443260198301053 root_mean_squared_error 0.15962455951387927 root_mean_squared_error 0.14700340132119377 root_mean_squared_error 0.148087811787466 root_mean_squared_error 0.1433875866314792 root_mean_squared_error 0.13802173741842244 root_mean_squared_error 0.15280706789936116 root_relative_squared_error 0.491256891385081 root_relative_squared_error 0.4888762624632124 root_relative_squared_error 0.5070612498615044 root_relative_squared_error 0.48108673276701786 root_relative_squared_error 0.5320818650462645 root_relative_squared_error 0.4900113377373129 root_relative_squared_error 0.49362603929155363 root_relative_squared_error 0.477958622104931 root_relative_squared_error 0.46007245806140845 root_relative_squared_error 0.5093568929978708 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 unweighted_recall 0.9200000000000002 [0.95,1,1,0.9,0.95,0.95,0.75,1,0.8,0.9] unweighted_recall 0.8950000000000001 [0.95,0.95,0.9,0.85,0.8,0.85,0.95,0.9,0.9,0.9] unweighted_recall 0.915 [0.9,0.95,0.95,0.95,0.9,0.75,0.95,0.9,0.95,0.95] unweighted_recall 0.9199999999999999 [0.95,0.95,1,0.85,0.95,0.85,1,0.95,0.95,0.75] unweighted_recall 0.8699999999999999 [0.9,0.95,0.85,0.9,0.85,0.85,0.85,1,0.75,0.8] unweighted_recall 0.905 [1,1,0.95,0.95,0.95,0.9,0.85,1,0.8,0.65] unweighted_recall 0.915 [1,0.95,1,0.8,0.95,0.85,0.95,0.95,0.8,0.9] unweighted_recall 0.8949999999999999 [0.95,0.95,0.95,0.9,0.95,0.8,0.95,0.9,0.6,1] unweighted_recall 0.9450000000000001 [0.95,1,0.9,0.9,0.9,0.9,0.95,1,0.95,1] unweighted_recall 0.9049999999999997 [0.95,1,0.95,0.95,0.85,1,0.85,0.8,0.75,0.95] usercpu_time_millis 124.99999999999994 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 125 usercpu_time_millis 156.25 usercpu_time_millis 125 usercpu_time_millis 140.625 usercpu_time_millis 156.25 usercpu_time_millis 156.25 usercpu_time_millis 109.375 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 124.99999999999994 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 156.25 usercpu_time_millis_training 125 usercpu_time_millis_training 125 usercpu_time_millis_training 140.625 usercpu_time_millis_training 156.25 usercpu_time_millis_training 109.375 wall_clock_time_millis 123.51584434509277 wall_clock_time_millis 126.51515007019043 wall_clock_time_millis 124.87244606018066 wall_clock_time_millis 134.0479850769043 wall_clock_time_millis 147.7818489074707 wall_clock_time_millis 129.1654109954834 wall_clock_time_millis 127.22945213317871 wall_clock_time_millis 147.18198776245117 wall_clock_time_millis 154.0846824645996 wall_clock_time_millis 118.92294883728027 wall_clock_time_millis_testing 1.8336772918701172 wall_clock_time_millis_testing 1.8565654754638672 wall_clock_time_millis_testing 1.8033981323242188 wall_clock_time_millis_testing 2.6755332946777344 wall_clock_time_millis_testing 1.9054412841796875 wall_clock_time_millis_testing 1.5940666198730469 wall_clock_time_millis_testing 1.8131732940673828 wall_clock_time_millis_testing 3.9844512939453125 wall_clock_time_millis_testing 1.7452239990234375 wall_clock_time_millis_testing 1.791238784790039 wall_clock_time_millis_training 121.68216705322266 wall_clock_time_millis_training 124.65858459472656 wall_clock_time_millis_training 123.06904792785645 wall_clock_time_millis_training 131.37245178222656 wall_clock_time_millis_training 145.87640762329102 wall_clock_time_millis_training 127.57134437561035 wall_clock_time_millis_training 125.41627883911133 wall_clock_time_millis_training 143.19753646850586 wall_clock_time_millis_training 152.33945846557617 wall_clock_time_millis_training 117.13171005249023 weighted_recall 0.92 [0.95,1,1,0.9,0.95,0.95,0.75,1,0.8,0.9] weighted_recall 0.895 [0.95,0.95,0.9,0.85,0.8,0.85,0.95,0.9,0.9,0.9] weighted_recall 0.915 [0.9,0.95,0.95,0.95,0.9,0.75,0.95,0.9,0.95,0.95] weighted_recall 0.92 [0.95,0.95,1,0.85,0.95,0.85,1,0.95,0.95,0.75] weighted_recall 0.87 [0.9,0.95,0.85,0.9,0.85,0.85,0.85,1,0.75,0.8] weighted_recall 0.905 [1,1,0.95,0.95,0.95,0.9,0.85,1,0.8,0.65] weighted_recall 0.915 [1,0.95,1,0.8,0.95,0.85,0.95,0.95,0.8,0.9] weighted_recall 0.895 [0.95,0.95,0.95,0.9,0.95,0.8,0.95,0.9,0.6,1] weighted_recall 0.945 [0.95,1,0.9,0.9,0.9,0.9,0.95,1,0.95,1] weighted_recall 0.905 [0.95,1,0.95,0.95,0.85,1,0.85,0.8,0.75,0.95]