6028816 1 Jan van Rijn 14 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4063500 bootstrap true 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.39182345066364366 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 4 6902 min_samples_split 14 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 8057 6902 verbose 0 6902 warm_start false 6902 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 true 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 12980727 description https://api.openml.org/data/download/12980727/description.xml -1 12980728 predictions https://api.openml.org/data/download/12980728/predictions.arff area_under_roc_curve 0.9835291666666667 [0.999992,0.977931,0.995919,0.992342,0.981372,0.994044,0.949222,0.9931,0.999292,0.952078] average_cost 0 f_measure 0.8270052526998118 [0.995,0.772727,0.937656,0.896203,0.809399,0.905941,0.544987,0.888889,0.954774,0.564477] kappa 0.8083333333333333 kb_relative_information_score 1573.0172952479154 mean_absolute_error 0.06336333215969397 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8275936175695517 [0.995,0.780612,0.935323,0.907692,0.846995,0.897059,0.560847,0.843049,0.959596,0.549763] predictive_accuracy 0.8275 prior_entropy 3.321928094887362 recall 0.8275 [0.995,0.765,0.94,0.885,0.775,0.915,0.53,0.94,0.95,0.58] relative_absolute_error 0.35201851199828904 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15855220132228212 root_relative_squared_error 0.5285073377409323 total_cost 0 area_under_roc_curve 0.9811944444444444 [1,0.981667,0.991389,0.995556,0.974167,1,0.926111,0.993889,0.998889,0.950278] area_under_roc_curve 0.983111111111111 [1,0.978611,0.997222,0.983333,0.974167,0.990833,0.959722,0.991944,0.998889,0.956389] area_under_roc_curve 0.9790277777777777 [1,0.978056,1,0.981111,0.984167,0.993889,0.913333,0.990556,1,0.949167] area_under_roc_curve 0.9894722222222222 [1,0.985556,0.996111,0.995833,0.993333,0.995833,0.980833,0.996389,1,0.950833] area_under_roc_curve 0.9840555555555555 [1,0.973056,0.997778,0.996389,0.989167,0.993889,0.955278,0.993611,1,0.941389] area_under_roc_curve 0.9860277777777777 [1,0.982778,0.999722,0.995556,0.994167,0.993333,0.946944,0.993611,0.999444,0.954722] area_under_roc_curve 0.9858611111111112 [1,0.978889,0.995,0.997778,0.989722,0.990278,0.975,0.989722,1,0.942222] area_under_roc_curve 0.9866111111111111 [1,0.971944,0.998611,0.993889,0.979444,0.996944,0.96,0.995,0.996944,0.973333] area_under_roc_curve 0.9837777777777776 [1,0.98,0.999722,0.998333,0.984722,0.985833,0.945556,0.995833,1,0.947778] area_under_roc_curve 0.9778055555555557 [1,0.971944,0.988611,0.992222,0.958889,0.999167,0.926667,0.993889,0.998611,0.948056] 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 0.7995037269106589 [1,0.772727,0.926829,0.923077,0.789474,0.974359,0.368421,0.878049,0.923077,0.439024] f_measure 0.8178574014774271 [1,0.871795,0.894737,0.894737,0.722222,0.857143,0.5,0.888889,0.926829,0.622222] f_measure 0.7950842079526736 [1,0.697674,0.947368,0.820513,0.780488,0.85,0.432432,0.842105,0.97561,0.604651] f_measure 0.8637256081992923 [0.974359,0.756757,0.95,0.904762,0.833333,0.947368,0.761905,0.842105,1,0.666667] f_measure 0.7901920708958653 [1,0.702703,0.947368,0.904762,0.742857,0.883721,0.473684,0.844444,0.952381,0.45] f_measure 0.8530949274435258 [1,0.837209,1,0.842105,0.820513,0.9,0.634146,0.952381,0.95,0.594595] f_measure 0.8446908312055937 [1,0.769231,0.947368,0.926829,0.888889,0.904762,0.615385,0.844444,1,0.55] f_measure 0.839529901339914 [1,0.731707,0.952381,0.894737,0.756757,0.85,0.65,0.909091,0.918919,0.731707] f_measure 0.8493208559350829 [1,0.823529,0.952381,0.952381,0.864865,0.95,0.486486,0.930233,1,0.533333] f_measure 0.8136293618347232 [0.97561,0.769231,0.863636,0.888889,0.888889,0.95,0.487805,0.952381,0.894737,0.465116] kappa 0.7777777777777778 kappa 0.7999999999999999 kappa 0.7722222222222223 kappa 0.85 kappa 0.7722222222222223 kappa 0.8388888888888889 kappa 0.8277777777777777 kappa 0.8222222222222222 kappa 0.8333333333333333 kappa 0.788888888888889 kb_relative_information_score 156.60376459246285 kb_relative_information_score 156.24392212275885 kb_relative_information_score 153.512348250694 kb_relative_information_score 159.82797071961352 kb_relative_information_score 156.06098757549603 kb_relative_information_score 159.9343822269782 kb_relative_information_score 158.60265952894687 kb_relative_information_score 157.95373138462517 kb_relative_information_score 160.44015027095853 kb_relative_information_score 153.8373785753815 mean_absolute_error 0.06448756727400147 mean_absolute_error 0.06431030158413117 mean_absolute_error 0.06722951787063097 mean_absolute_error 0.0610199551554217 mean_absolute_error 0.06440462631186226 mean_absolute_error 0.06102441950357797 mean_absolute_error 0.06257090343070912 mean_absolute_error 0.06297095462432173 mean_absolute_error 0.060050542764444055 mean_absolute_error 0.06556453307783877 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 0.801576858813701 [1,0.708333,0.904762,0.947368,0.833333,1,0.388889,0.857143,0.947368,0.428571] precision 0.8241569453937875 [1,0.894737,0.944444,0.944444,0.8125,0.818182,0.5625,0.8,0.904762,0.56] precision 0.7983259405974441 [1,0.652174,1,0.842105,0.761905,0.85,0.470588,0.888889,0.952381,0.565217] precision 0.8717613105848401 [1,0.823529,0.95,0.863636,0.714286,1,0.727273,0.888889,1,0.75] precision 0.794018677826862 [1,0.764706,1,0.863636,0.866667,0.826087,0.5,0.76,0.909091,0.45] precision 0.8538800199366896 [1,0.782609,1,0.888889,0.842105,0.9,0.619048,0.909091,0.95,0.647059] precision 0.8499450899977217 [1,0.789474,1,0.904762,1,0.863636,0.631579,0.76,1,0.55] precision 0.843896952720482 [1,0.714286,0.909091,0.944444,0.823529,0.85,0.65,0.833333,1,0.714286] precision 0.858833527086724 [1,1,0.909091,0.909091,0.941176,0.95,0.529412,0.869565,1,0.48] precision 0.8248029741679627 [0.952381,0.789474,0.791667,1,1,0.95,0.47619,0.909091,0.944444,0.434783] predictive_accuracy 0.8 predictive_accuracy 0.82 predictive_accuracy 0.795 predictive_accuracy 0.865 predictive_accuracy 0.795 predictive_accuracy 0.855 predictive_accuracy 0.845 predictive_accuracy 0.84 predictive_accuracy 0.85 predictive_accuracy 0.81 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 0.8 [1,0.85,0.95,0.9,0.75,0.95,0.35,0.9,0.9,0.45] recall 0.82 [1,0.85,0.85,0.85,0.65,0.9,0.45,1,0.95,0.7] recall 0.795 [1,0.75,0.9,0.8,0.8,0.85,0.4,0.8,1,0.65] recall 0.865 [0.95,0.7,0.95,0.95,1,0.9,0.8,0.8,1,0.6] recall 0.795 [1,0.65,0.9,0.95,0.65,0.95,0.45,0.95,1,0.45] recall 0.855 [1,0.9,1,0.8,0.8,0.9,0.65,1,0.95,0.55] recall 0.845 [1,0.75,0.9,0.95,0.8,0.95,0.6,0.95,1,0.55] recall 0.84 [1,0.75,1,0.85,0.7,0.85,0.65,1,0.85,0.75] recall 0.85 [1,0.7,1,1,0.8,0.95,0.45,1,1,0.6] recall 0.81 [1,0.75,0.95,0.8,0.8,0.95,0.5,1,0.85,0.5] relative_absolute_error 0.35826426263334193 relative_absolute_error 0.3572794532451736 relative_absolute_error 0.37349732150350584 relative_absolute_error 0.3389997508634542 relative_absolute_error 0.3578034795103463 relative_absolute_error 0.33902455279765575 relative_absolute_error 0.3476161301706066 relative_absolute_error 0.3498386368017878 relative_absolute_error 0.333614126469134 relative_absolute_error 0.3642474059879936 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 0.16138916966555023 root_mean_squared_error 0.16298246705135436 root_mean_squared_error 0.16692426757839957 root_mean_squared_error 0.15087846925634835 root_mean_squared_error 0.16205959034908374 root_mean_squared_error 0.1520347879642956 root_mean_squared_error 0.155152807952275 root_mean_squared_error 0.15704129164565622 root_mean_squared_error 0.1505794755726892 root_mean_squared_error 0.165420089655975 root_relative_squared_error 0.5379638988851677 root_relative_squared_error 0.5432748901711816 root_relative_squared_error 0.5564142252613322 root_relative_squared_error 0.5029282308544949 root_relative_squared_error 0.5401986344969462 root_relative_squared_error 0.5067826265476523 root_relative_squared_error 0.5171760265075837 root_relative_squared_error 0.5234709721521876 root_relative_squared_error 0.5019315852422976 root_relative_squared_error 0.5514002988532504 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 15061.85113599713 usercpu_time_millis 15019.164073997672 usercpu_time_millis 14932.655270004034 usercpu_time_millis 15054.149265000888 usercpu_time_millis 14959.513005003828 usercpu_time_millis 15981.553595996957 usercpu_time_millis 15151.676460998715 usercpu_time_millis 15275.356025998917 usercpu_time_millis 14995.652865000011 usercpu_time_millis 14930.45092599641 usercpu_time_millis_testing 20.968689997971524 usercpu_time_millis_testing 21.161284999834606 usercpu_time_millis_testing 21.070400001917733 usercpu_time_millis_testing 21.819412999320775 usercpu_time_millis_testing 21.017520000896184 usercpu_time_millis_testing 22.55836999756866 usercpu_time_millis_testing 21.127201998751843 usercpu_time_millis_testing 21.449644002132118 usercpu_time_millis_testing 21.044302000518655 usercpu_time_millis_testing 21.292656998411985 usercpu_time_millis_training 15040.88244599916 usercpu_time_millis_training 14998.002788997837 usercpu_time_millis_training 14911.584870002116 usercpu_time_millis_training 15032.329852001567 usercpu_time_millis_training 14938.495485002932 usercpu_time_millis_training 15958.995225999388 usercpu_time_millis_training 15130.549258999963 usercpu_time_millis_training 15253.906381996785 usercpu_time_millis_training 14974.608562999492 usercpu_time_millis_training 14909.158268997999