8916452 1935 Hilde Weerts 14 Supervised Classification 8315 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.ensemble.forest.RandomForestClassifier)(1) 6853473 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 bootstrap true 7684 class_weight null 7684 criterion "entropy" 7684 max_depth null 7684 max_features 0.32876617451470913 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 11 7684 min_samples_split 5 7684 min_weight_fraction_leaf 0.0 7684 n_estimators 500 7684 n_jobs 1 7684 oob_score false 7684 random_state 1 7684 verbose 0 7684 warm_start false 7684 memory null 8315 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18748540 description https://api.openml.org/data/download/18748540/description.xml -1 18748541 predictions https://api.openml.org/data/download/18748541/predictions.arff area_under_roc_curve 0.9819538888888889 [0.999994,0.975244,0.996425,0.991303,0.977461,0.992325,0.947394,0.992647,0.9987,0.948044] average_cost 0 f_measure 0.8238163037151951 [0.995,0.777494,0.933661,0.887179,0.801034,0.901478,0.553616,0.88,0.954545,0.554156] kappa 0.805 kb_relative_information_score 1520.6169172203167 mean_absolute_error 0.07087507685048126 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8242450016044788 [0.995,0.795812,0.917874,0.910526,0.828877,0.88835,0.552239,0.831111,0.964286,0.558376] predictive_accuracy 0.8245 prior_entropy 3.321928094887362 recall 0.8245 [0.995,0.76,0.95,0.865,0.775,0.915,0.555,0.935,0.945,0.55] relative_absolute_error 0.393750426947106 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16537351224785668 root_relative_squared_error 0.5512450408261804 total_cost 0 area_under_roc_curve 0.9788055555555556 [1,0.976111,0.991944,0.994444,0.961111,1,0.920278,0.993056,0.998333,0.952778] area_under_roc_curve 0.9805555555555556 [1,0.976111,0.996667,0.986667,0.964167,0.988889,0.951944,0.990833,0.998333,0.951944] area_under_roc_curve 0.9788888888888888 [1,0.974444,0.999722,0.973333,0.980556,0.993889,0.924444,0.9925,1,0.95] area_under_roc_curve 0.9871944444444444 [1,0.985556,0.995278,0.996111,0.992778,0.994722,0.971389,0.995556,0.999167,0.941389] area_under_roc_curve 0.9822777777777777 [1,0.972222,0.996667,0.993889,0.985556,0.991111,0.952778,0.9925,1,0.938056] area_under_roc_curve 0.9835833333333333 [1,0.973333,0.999722,0.991111,0.9925,0.990833,0.945833,0.991944,0.998611,0.951944] area_under_roc_curve 0.9835833333333333 [1,0.978333,0.995,0.9975,0.981944,0.98,0.975833,0.988611,1,0.938611] area_under_roc_curve 0.9850833333333333 [1,0.968611,0.998056,0.991111,0.979444,0.995556,0.96,0.995,0.995833,0.967222] area_under_roc_curve 0.9828055555555555 [1,0.978889,0.999722,0.9975,0.983611,0.985278,0.941944,0.995833,1,0.945278] area_under_roc_curve 0.9779722222222224 [1,0.976389,0.991389,0.989722,0.952778,0.999444,0.9275,0.993889,0.9975,0.951111] 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 0.7947387172571517 [1,0.790698,0.926829,0.833333,0.772727,0.974359,0.378378,0.871795,0.923077,0.47619] f_measure 0.8091466711632697 [1,0.871795,0.9,0.894737,0.666667,0.857143,0.578947,0.790698,0.926829,0.604651] f_measure 0.8051375859912444 [1,0.682927,0.974359,0.820513,0.829268,0.871795,0.461538,0.85,0.97561,0.585366] f_measure 0.843968748968749 [0.974359,0.810811,0.95,0.904762,0.755556,0.9,0.714286,0.9,0.974359,0.555556] f_measure 0.7780786230342399 [1,0.685714,0.923077,0.878049,0.685714,0.888889,0.473684,0.808511,0.97561,0.461538] f_measure 0.8573225745176964 [1,0.809524,0.97561,0.864865,0.871795,0.926829,0.666667,0.952381,0.95,0.555556] f_measure 0.8437332523317835 [1,0.75,0.923077,0.95,0.857143,0.883721,0.65,0.844444,1,0.578947] f_measure 0.8549360019051335 [1,0.780488,0.952381,0.871795,0.820513,0.842105,0.682927,0.930233,0.918919,0.75] f_measure 0.8495476395829193 [1,0.823529,0.952381,0.952381,0.894737,0.923077,0.473684,0.930233,1,0.545455] f_measure 0.7985313275515837 [0.97561,0.769231,0.863636,0.888889,0.857143,0.95,0.434783,0.930233,0.894737,0.421053] kappa 0.7722222222222223 kappa 0.788888888888889 kappa 0.7833333333333334 kappa 0.8277777777777777 kappa 0.7611111111111112 kappa 0.8444444444444444 kappa 0.8277777777777777 kappa 0.8388888888888889 kappa 0.8333333333333333 kappa 0.7722222222222223 kb_relative_information_score 150.91072443689026 kb_relative_information_score 151.75893022187356 kb_relative_information_score 149.31926602466854 kb_relative_information_score 153.52875094686914 kb_relative_information_score 150.5037308739418 kb_relative_information_score 154.53237985201986 kb_relative_information_score 152.76700487312036 kb_relative_information_score 152.84281080740894 kb_relative_information_score 155.44583836415114 kb_relative_information_score 149.00748081937513 mean_absolute_error 0.0727455950075978 mean_absolute_error 0.07095200348728087 mean_absolute_error 0.0736996449701195 mean_absolute_error 0.06956848190731298 mean_absolute_error 0.07209350906742959 mean_absolute_error 0.06838515807211364 mean_absolute_error 0.07047525214916239 mean_absolute_error 0.07040929007971397 mean_absolute_error 0.06774821575602698 mean_absolute_error 0.07267361800805518 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 0.7998141096463549 [1,0.73913,0.904762,0.9375,0.708333,1,0.411765,0.894737,0.947368,0.454545] precision 0.8127583946691499 [1,0.894737,0.9,0.944444,0.75,0.818182,0.611111,0.73913,0.904762,0.565217] precision 0.8060526315789472 [1,0.666667,1,0.842105,0.809524,0.894737,0.473684,0.85,0.952381,0.571429] precision 0.8482807486631018 [1,0.882353,0.95,0.863636,0.68,0.9,0.681818,0.9,1,0.625] precision 0.7834280144806459 [1,0.8,0.947368,0.857143,0.8,0.8,0.5,0.703704,0.952381,0.473684] precision 0.8586237988018174 [1,0.772727,0.952381,0.941176,0.894737,0.904762,0.636364,0.909091,0.95,0.625] precision 0.8494566488685481 [1,0.75,0.947368,0.95,1,0.826087,0.65,0.76,1,0.611111] precision 0.8582958549205688 [1,0.761905,0.909091,0.894737,0.842105,0.888889,0.666667,0.869565,1,0.75] precision 0.8579559901070197 [1,1,0.909091,0.909091,0.944444,0.947368,0.5,0.869565,1,0.5] precision 0.8126590794153722 [0.952381,0.789474,0.791667,1,1,0.95,0.384615,0.869565,0.944444,0.444444] predictive_accuracy 0.795 predictive_accuracy 0.81 predictive_accuracy 0.805 predictive_accuracy 0.845 predictive_accuracy 0.785 predictive_accuracy 0.86 predictive_accuracy 0.845 predictive_accuracy 0.855 predictive_accuracy 0.85 predictive_accuracy 0.795 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 0.795 [1,0.85,0.95,0.75,0.85,0.95,0.35,0.85,0.9,0.5] recall 0.81 [1,0.85,0.9,0.85,0.6,0.9,0.55,0.85,0.95,0.65] recall 0.805 [1,0.7,0.95,0.8,0.85,0.85,0.45,0.85,1,0.6] recall 0.845 [0.95,0.75,0.95,0.95,0.85,0.9,0.75,0.9,0.95,0.5] recall 0.785 [1,0.6,0.9,0.9,0.6,1,0.45,0.95,1,0.45] recall 0.86 [1,0.85,1,0.8,0.85,0.95,0.7,1,0.95,0.5] recall 0.845 [1,0.75,0.9,0.95,0.75,0.95,0.65,0.95,1,0.55] recall 0.855 [1,0.8,1,0.85,0.8,0.8,0.7,1,0.85,0.75] recall 0.85 [1,0.7,1,1,0.85,0.9,0.45,1,1,0.6] recall 0.795 [1,0.75,0.95,0.8,0.75,0.95,0.5,1,0.85,0.4] relative_absolute_error 0.40414219448665484 relative_absolute_error 0.3941777971515608 relative_absolute_error 0.40944247205621986 relative_absolute_error 0.38649156615173913 relative_absolute_error 0.4005194948190537 relative_absolute_error 0.37991754484507617 relative_absolute_error 0.3915291786064582 relative_absolute_error 0.39116272266507807 relative_absolute_error 0.37637897642237256 relative_absolute_error 0.40374232226697365 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 0.1687465594117739 root_mean_squared_error 0.16905817946435195 root_mean_squared_error 0.17008559018212496 root_mean_squared_error 0.16128432614257376 root_mean_squared_error 0.16880433881721 root_mean_squared_error 0.1593499984058983 root_mean_squared_error 0.16392115426883597 root_mean_squared_error 0.16417993080110294 root_mean_squared_error 0.15743485892211048 root_mean_squared_error 0.17025838667730525 root_relative_squared_error 0.56248853137258 root_relative_squared_error 0.5635272648811736 root_relative_squared_error 0.5669519672737501 root_relative_squared_error 0.5376144204752462 root_relative_squared_error 0.5626811293907004 root_relative_squared_error 0.5311666613529947 root_relative_squared_error 0.5464038475627868 root_relative_squared_error 0.5472664360036767 root_relative_squared_error 0.5247828630737019 root_relative_squared_error 0.5675279555910179 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 61048.10921399985 usercpu_time_millis 61066.139297996415 usercpu_time_millis 60503.62199899973 usercpu_time_millis 61347.33171499829 usercpu_time_millis 60937.47548600368 usercpu_time_millis 61421.35007800243 usercpu_time_millis 61223.561086997506 usercpu_time_millis 61086.61724099875 usercpu_time_millis 61512.36885799881 usercpu_time_millis 60716.64996999971 usercpu_time_millis_testing 90.29525000005378 usercpu_time_millis_testing 86.60889999737265 usercpu_time_millis_testing 94.6400739994715 usercpu_time_millis_testing 91.07536399824312 usercpu_time_millis_testing 91.04041200043866 usercpu_time_millis_testing 130.1328290028323 usercpu_time_millis_testing 89.98948799853679 usercpu_time_millis_testing 94.75245700014057 usercpu_time_millis_testing 88.39496899963706 usercpu_time_millis_testing 90.44769799947971 usercpu_time_millis_training 60957.8139639998 usercpu_time_millis_training 60979.53039799904 usercpu_time_millis_training 60408.98192500026 usercpu_time_millis_training 61256.25635100005 usercpu_time_millis_training 60846.43507400324 usercpu_time_millis_training 61291.2172489996 usercpu_time_millis_training 61133.57159899897 usercpu_time_millis_training 60991.86478399861 usercpu_time_millis_training 61423.97388899917 usercpu_time_millis_training 60626.20227200023