6101719 1 Jan van Rijn 5 Supervised Classification predictive_accuracy 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) 4135892 class_weight null 6941 criterion "gini" 6941 max_depth 9 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 46679 6941 splitter "best" 6941 axis 0 6947 categorical_features [1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [1, 21, 22, 23, 24, 25, 26, 33, 34, 35, 36, 37, 38, 45, 46, 47, 48, 49, 50, 57, 58, 59, 60, 61, 62, 69, 70, 71, 72, 73, 74, 81, 82, 83, 84, 85, 86, 93, 94, 95, 96, 97, 98, 105, 106, 107, 108, 109, 110, 117, 118, 119, 120, 121, 122, 129, 130, 131, 132, 133, 134, 141, 142, 143, 144, 145, 146, 153, 154, 155, 156, 157, 158] 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 algorithm "SAMME" 6971 learning_rate 0.21886465068746058 6971 n_estimators 255 6971 random_state 45650 6971 openml-pimp openml-python Sklearn_0.18.1. 5 arrhythmia https://www.openml.org/data/download/5/dataset_5_arrhythmia.arff -1 13127170 description https://api.openml.org/data/download/13127170/description.xml -1 13127171 predictions https://api.openml.org/data/download/13127171/predictions.arff area_under_roc_curve 0.884480331495664 [0.895297,0.92324,0.98749,0.984592,0.94095,0.979016,0.622123,0.214444,0.998746,0.903134,0.0,0.0,0.0,0.71317,0.918568,0.438161] average_cost 0 kappa 0.5493409853606341 kb_relative_information_score -39.15711963990466 mean_absolute_error 0.1150953465227251 mean_prior_absolute_error 0.08554099538612797 number_of_instances 452 [245,44,15,15,13,25,3,2,9,50,0,0,0,4,5,22] predictive_accuracy 0.7278761061946902 prior_entropy 2.522211812343187 recall 0.7278761061946902 [0.930612,0.5,0.866667,0.666667,0.384615,0.64,0,0,0.888889,0.54,0.0,0.0,0.0,0,0,0] relative_absolute_error 1.3454992662078598 root_mean_prior_squared_error 0.20549825255273738 root_mean_squared_error 0.2395907289050151 root_relative_squared_error 1.165901538960914 total_cost 0 area_under_roc_curve 0.8723272498735518 [0.855238,0.95122,1,1,0.988636,1,0.0,0.555556,0.0,0.965854,0.0,0.0,0.0,0.0,0.0,0.542636] area_under_roc_curve 0.8675869817704388 [0.868571,0.897561,1,1,1,1,0.0,0.266667,1,0.878049,0.0,0.0,0.0,0.0,0.8,0.625] area_under_roc_curve 0.8971317829457366 [0.842,0.93,1,1,1,0.976744,0.0,0.0,1,0.99,0.0,0.0,0.0,0.0,1,0.883721] area_under_roc_curve 0.8957622739018091 [0.906,0.955,1,1,1,0.906977,0.0,0.0,1,0.935,0.0,0.0,0.0,0.0,1,0.197674] area_under_roc_curve 0.9159650102843522 [0.97,0.981707,1,0.988372,0.954545,0.976744,0.0,0.0,1,0.845,0.0,0.0,0.0,0.0,0.931818,0] area_under_roc_curve 0.8687222821085554 [0.884921,0.859756,1,1,0.977273,0.984127,0.886364,0.0,1,0.85,0.0,0.0,0.0,0.0,0.977273,0.186047] area_under_roc_curve 0.8555262794599154 [0.857143,0.896341,0.930233,1,0.909091,0.992063,0.840909,0.0,1,0.815,0.0,0.0,0.0,0.75,0.0,0.465116] area_under_roc_curve 0.8615167489387571 [0.867063,0.896341,0.988372,1,0.636364,0.984127,0.636364,0.0,1,0.925,0.0,0.0,0.0,0.5,0.0,0.523256] area_under_roc_curve 0.9353146678954961 [0.926587,0.97561,1,0.931818,0.976744,1,0.0,0.0,1,0.98,0.0,0.0,0.0,0.977273,0.0,0.593023] area_under_roc_curve 0.8865474137425358 [0.930556,0.890244,1,0.954545,1,1,0.0,0.0,1,0.865,0.0,0.0,0.0,0.863636,0.0,0.285714] 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 kappa 0.5003878975950349 kappa 0.6688000000000001 kappa 0.46880269814502534 kappa 0.5591836734693877 kappa 0.6246872393661385 kappa 0.544037412314887 kappa 0.4193548387096775 kappa 0.506269592476489 kappa 0.5850796311818944 kappa 0.6240601503759398 kb_relative_information_score -4.497805180098026 kb_relative_information_score -3.5441409424929895 kb_relative_information_score -4.963151531975201 kb_relative_information_score -4.9483864634590375 kb_relative_information_score -4.454548549787894 kb_relative_information_score -3.086468111919615 kb_relative_information_score -3.0263918672885226 kb_relative_information_score -3.0147719917049303 kb_relative_information_score -3.6947465258798946 kb_relative_information_score -3.92670847529854 mean_absolute_error 0.11510940034633071 mean_absolute_error 0.11511017709100926 mean_absolute_error 0.1150977231109964 mean_absolute_error 0.11508740986242526 mean_absolute_error 0.11505968685794016 mean_absolute_error 0.11509140808557598 mean_absolute_error 0.11511898897412401 mean_absolute_error 0.11510105683019652 mean_absolute_error 0.11507879329727998 mean_absolute_error 0.11509817889599774 mean_prior_absolute_error 0.08534234485321444 mean_prior_absolute_error 0.08546427907840952 mean_prior_absolute_error 0.08460351377018045 mean_prior_absolute_error 0.08460351377018045 mean_prior_absolute_error 0.08477564102564104 mean_prior_absolute_error 0.08615265906932575 mean_prior_absolute_error 0.08615859449192784 mean_prior_absolute_error 0.08615859449192784 mean_prior_absolute_error 0.08609924026590694 mean_prior_absolute_error 0.08605769230769232 number_of_instances 46 [25,5,1,2,2,2,0,1,0,5,0,0,0,0,0,3] number_of_instances 46 [25,5,1,2,1,2,0,1,1,5,0,0,0,0,1,2] number_of_instances 45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2] number_of_instances 45 [25,5,1,2,1,2,0,0,1,5,0,0,0,0,1,2] number_of_instances 45 [25,4,2,2,1,2,0,0,1,5,0,0,0,0,1,2] number_of_instances 45 [24,4,2,1,1,3,1,0,1,5,0,0,0,0,1,2] number_of_instances 45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2] number_of_instances 45 [24,4,2,1,1,3,1,0,1,5,0,0,0,1,0,2] number_of_instances 45 [24,4,2,1,2,3,0,0,1,5,0,0,0,1,0,2] number_of_instances 45 [24,4,1,1,2,3,0,0,1,5,0,0,0,1,0,3] predictive_accuracy 0.6956521739130435 predictive_accuracy 0.8043478260869565 predictive_accuracy 0.6888888888888889 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7777777777777777 predictive_accuracy 0.7111111111111111 predictive_accuracy 0.6444444444444444 predictive_accuracy 0.6888888888888889 predictive_accuracy 0.7555555555555555 predictive_accuracy 0.7777777777777777 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 prior_entropy 2.522211812343187 recall 0.6956521739130435 [0.88,0.2,1,1,0.5,0.5,0.0,0,0.0,0.8,0.0,0.0,0.0,0.0,0.0,0] recall 0.8043478260869565 [1,0.6,1,1,1,0.5,0.0,0,1,0.6,0.0,0.0,0.0,0.0,0,0] recall 0.6888888888888889 [0.92,0.2,1,0.5,0,1,0.0,0.0,0,0.6,0.0,0.0,0.0,0.0,0,0] recall 0.7333333333333333 [0.92,0.4,1,1,1,0,0.0,0.0,1,0.6,0.0,0.0,0.0,0.0,0,0] recall 0.7777777777777778 [0.96,0.75,1,0,0,0.5,0.0,0.0,1,0.8,0.0,0.0,0.0,0.0,0,0] recall 0.7111111111111111 [0.875,0.25,1,1,1,0.666667,0,0.0,1,0.6,0.0,0.0,0.0,0.0,0,0] recall 0.6444444444444445 [0.875,0.75,0.5,1,0,0.666667,0,0.0,1,0,0.0,0.0,0.0,0,0.0,0] recall 0.6888888888888889 [0.916667,0.5,0.5,1,0,0.333333,0,0.0,1,0.6,0.0,0.0,0.0,0,0.0,0] recall 0.7555555555555555 [0.958333,0.75,1,0,0,1,0.0,0.0,1,0.4,0.0,0.0,0.0,0,0.0,0] recall 0.7777777777777778 [1,0.75,1,0,0.5,1,0.0,0.0,1,0.4,0.0,0.0,0.0,0,0.0,0] relative_absolute_error 1.3487958474109711 relative_absolute_error 1.3468805720036672 relative_absolute_error 1.36043667670413 relative_absolute_error 1.3603147757556757 relative_absolute_error 1.3572257958290104 relative_absolute_error 1.3359008222017112 relative_absolute_error 1.336128910330698 relative_absolute_error 1.3359207808453777 relative_absolute_error 1.3365831445419638 relative_absolute_error 1.337453698903214 root_mean_prior_squared_error 0.20501434405747065 root_mean_prior_squared_error 0.2053115084317244 root_mean_prior_squared_error 0.20320445414970847 root_mean_prior_squared_error 0.20320445414970847 root_mean_prior_squared_error 0.20362754588154708 root_mean_prior_squared_error 0.20698114765704212 root_mean_prior_squared_error 0.20699548523585812 root_mean_prior_squared_error 0.20699548523585812 root_mean_prior_squared_error 0.20685206472744588 root_mean_prior_squared_error 0.20675161117580884 root_mean_squared_error 0.2396199857263635 root_mean_squared_error 0.23962153946157272 root_mean_squared_error 0.23959568724948344 root_mean_squared_error 0.23957415373294141 root_mean_squared_error 0.23951646029069376 root_mean_squared_error 0.239582592294808 root_mean_squared_error 0.2396400313356021 root_mean_squared_error 0.23960270105026593 root_mean_squared_error 0.23955618802587278 root_mean_squared_error 0.2395965909937761 root_relative_squared_error 1.168796197300185 root_relative_squared_error 1.167112069322982 root_relative_squared_error 1.179086788486261 root_relative_squared_error 1.1789808187788935 root_relative_squared_error 1.1762478364789788 root_relative_squared_error 1.1575092466478392 root_relative_squared_error 1.1577065609066188 root_relative_squared_error 1.157526217430559 root_relative_squared_error 1.1581039248581773 root_relative_squared_error 1.1588620259410598 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 10169.299662999947 usercpu_time_millis 9828.217593000318 usercpu_time_millis 9949.255395999899 usercpu_time_millis 9949.415770999622 usercpu_time_millis 10065.66407199989 usercpu_time_millis 10008.663365000302 usercpu_time_millis 9916.567149000002 usercpu_time_millis 9758.655522000026 usercpu_time_millis 9935.332215000471 usercpu_time_millis 9987.948656000299 usercpu_time_millis_testing 44.64968399997815 usercpu_time_millis_testing 44.00390199998583 usercpu_time_millis_testing 43.91597899984845 usercpu_time_millis_testing 46.93018099987967 usercpu_time_millis_testing 43.500408999989304 usercpu_time_millis_testing 43.87488900010794 usercpu_time_millis_testing 43.93479500004105 usercpu_time_millis_testing 43.555061999995814 usercpu_time_millis_testing 43.86218900026506 usercpu_time_millis_testing 43.82784600011291 usercpu_time_millis_training 10124.649978999969 usercpu_time_millis_training 9784.213691000332 usercpu_time_millis_training 9905.33941700005 usercpu_time_millis_training 9902.485589999742 usercpu_time_millis_training 10022.163662999901 usercpu_time_millis_training 9964.788476000194 usercpu_time_millis_training 9872.632353999961 usercpu_time_millis_training 9715.10046000003 usercpu_time_millis_training 9891.470026000206 usercpu_time_millis_training 9944.120810000186