8912451 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) 6849644 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 false 7684 class_weight null 7684 criterion "gini" 7684 max_depth null 7684 max_features 0.5205341493580471 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 14 7684 min_samples_split 3 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 18740576 description https://api.openml.org/data/download/18740576/description.xml -1 18740577 predictions https://api.openml.org/data/download/18740577/predictions.arff area_under_roc_curve 0.9792352777777779 [0.999931,0.970256,0.994331,0.98535,0.970803,0.992806,0.943547,0.991264,0.997433,0.946633] average_cost 0 f_measure 0.8104762044585442 [0.973105,0.748768,0.940299,0.875318,0.748011,0.891089,0.545906,0.872038,0.956072,0.554156] kappa 0.79 kb_relative_information_score 1539.6368198304076 mean_absolute_error 0.06504343079320826 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8114196769949825 [0.952153,0.737864,0.935644,0.891192,0.79661,0.882353,0.541872,0.828829,0.989305,0.558376] predictive_accuracy 0.8109999999999999 prior_entropy 3.321928094887362 recall 0.811 [0.995,0.76,0.945,0.86,0.705,0.9,0.55,0.92,0.925,0.55] relative_absolute_error 0.36135239329559027 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.16532066552949182 root_relative_squared_error 0.5510688850982977 total_cost 0 area_under_roc_curve 0.9792222222222222 [0.999722,0.974167,0.993611,0.992222,0.9625,0.999722,0.927222,0.990278,0.996111,0.956667] area_under_roc_curve 0.9778611111111113 [0.999444,0.976944,0.993611,0.984167,0.954722,0.987778,0.951111,0.989444,0.994722,0.946667] area_under_roc_curve 0.9740833333333334 [1,0.976667,0.999722,0.961667,0.972778,0.992222,0.906111,0.991944,1,0.939722] area_under_roc_curve 0.9849166666666668 [1,0.9675,0.993056,0.993333,0.986111,0.995556,0.974722,0.995278,0.999722,0.943889] area_under_roc_curve 0.9833333333333333 [1,0.964444,0.998889,0.995556,0.986944,0.996111,0.956944,0.99,1,0.944444] area_under_roc_curve 0.9825833333333336 [1,0.963889,1,0.984722,0.991944,0.991667,0.948889,0.991667,0.998611,0.954444] area_under_roc_curve 0.9809722222222222 [1,0.976944,0.986389,0.993333,0.984722,0.985833,0.963889,0.9875,1,0.931111] area_under_roc_curve 0.9796388888888891 [1,0.971111,0.998333,0.9775,0.945556,0.996944,0.955556,0.993611,0.992778,0.965] area_under_roc_curve 0.9799166666666665 [1,0.965278,0.999722,0.996944,0.973333,0.9875,0.938889,0.994444,1,0.943056] area_under_roc_curve 0.9733888888888887 [1,0.973889,0.985556,0.975278,0.950278,0.996944,0.9225,0.993889,0.994444,0.941111] 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 0.8058552454187884 [0.97561,0.755556,0.926829,0.888889,0.714286,0.974359,0.432432,0.871795,0.947368,0.571429] f_measure 0.7892503199844155 [0.926829,0.780488,0.871795,0.871795,0.702703,0.790698,0.578947,0.809524,0.974359,0.585366] f_measure 0.7781144580111652 [1,0.697674,0.947368,0.736842,0.684211,0.829268,0.439024,0.842105,1,0.604651] f_measure 0.8238898552392392 [1,0.684211,0.95,0.904762,0.723404,0.9,0.702703,0.820513,0.974359,0.578947] f_measure 0.799425816992984 [0.97561,0.666667,0.974359,0.904762,0.742857,0.930233,0.5,0.826087,1,0.473684] f_measure 0.8215022038050965 [0.97561,0.780488,0.97561,0.820513,0.756757,0.878049,0.634146,0.930233,0.923077,0.540541] f_measure 0.8221309643265868 [0.952381,0.790698,0.923077,0.9,0.823529,0.857143,0.65,0.863636,0.974359,0.486486] f_measure 0.8277965195838439 [1,0.731707,0.97561,0.871795,0.777778,0.894737,0.55814,0.930233,0.918919,0.619048] f_measure 0.8480991980991982 [1,0.833333,0.952381,0.952381,0.833333,0.923077,0.486486,0.909091,1,0.590909] f_measure 0.7865376695539311 [0.930233,0.761905,0.904762,0.888889,0.742857,0.947368,0.489796,0.909091,0.833333,0.457143] kappa 0.7833333333333334 kappa 0.7666666666666667 kappa 0.75 kappa 0.8055555555555555 kappa 0.7833333333333334 kappa 0.8055555555555555 kappa 0.8055555555555555 kappa 0.8055555555555555 kappa 0.8333333333333333 kappa 0.7611111111111112 kb_relative_information_score 153.52303569203627 kb_relative_information_score 151.10301312311128 kb_relative_information_score 150.20803077433212 kb_relative_information_score 156.04479072076938 kb_relative_information_score 154.82510886582665 kb_relative_information_score 156.10639639097394 kb_relative_information_score 154.48760833717728 kb_relative_information_score 155.09944540675062 kb_relative_information_score 157.63467013737528 kb_relative_information_score 150.6047203820557 mean_absolute_error 0.06608676693730577 mean_absolute_error 0.06663019792329021 mean_absolute_error 0.06767733394229763 mean_absolute_error 0.0630866643425238 mean_absolute_error 0.06509166004472823 mean_absolute_error 0.06314958223283346 mean_absolute_error 0.06536581120352687 mean_absolute_error 0.0636749967735014 mean_absolute_error 0.06189392164760413 mean_absolute_error 0.06777737288447175 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 0.8129740661814965 [0.952381,0.68,0.904762,1,0.681818,1,0.470588,0.894737,1,0.545455] precision 0.7915243623279697 [0.904762,0.761905,0.894737,0.894737,0.764706,0.73913,0.611111,0.772727,1,0.571429] precision 0.7844375431331954 [1,0.652174,1,0.777778,0.722222,0.809524,0.428571,0.888889,1,0.565217] precision 0.8283410472110162 [1,0.722222,0.95,0.863636,0.62963,0.9,0.764706,0.842105,1,0.611111] precision 0.8033018430844518 [0.952381,0.75,1,0.863636,0.866667,0.869565,0.5,0.730769,1,0.5] precision 0.8213660750341325 [0.952381,0.761905,0.952381,0.842105,0.823529,0.857143,0.619048,0.869565,0.947368,0.588235] precision 0.8284850014480516 [0.909091,0.73913,0.947368,0.9,1,0.818182,0.65,0.791667,1,0.529412] precision 0.8363061391951551 [1,0.714286,0.952381,0.894737,0.875,0.944444,0.521739,0.869565,1,0.590909] precision 0.8544962003940333 [1,0.9375,0.909091,0.909091,0.9375,0.947368,0.529412,0.833333,1,0.541667] precision 0.8045100745082004 [0.869565,0.727273,0.863636,1,0.866667,1,0.413793,0.833333,0.9375,0.533333] predictive_accuracy 0.805 predictive_accuracy 0.79 predictive_accuracy 0.775 predictive_accuracy 0.825 predictive_accuracy 0.805 predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.825 predictive_accuracy 0.85 predictive_accuracy 0.785 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 0.805 [1,0.85,0.95,0.8,0.75,0.95,0.4,0.85,0.9,0.6] recall 0.79 [0.95,0.8,0.85,0.85,0.65,0.85,0.55,0.85,0.95,0.6] recall 0.775 [1,0.75,0.9,0.7,0.65,0.85,0.45,0.8,1,0.65] recall 0.825 [1,0.65,0.95,0.95,0.85,0.9,0.65,0.8,0.95,0.55] recall 0.805 [1,0.6,0.95,0.95,0.65,1,0.5,0.95,1,0.45] recall 0.825 [1,0.8,1,0.8,0.7,0.9,0.65,1,0.9,0.5] recall 0.825 [1,0.85,0.9,0.9,0.7,0.9,0.65,0.95,0.95,0.45] recall 0.825 [1,0.75,1,0.85,0.7,0.85,0.6,1,0.85,0.65] recall 0.85 [1,0.75,1,1,0.75,0.9,0.45,1,1,0.65] recall 0.785 [1,0.8,0.95,0.8,0.65,0.9,0.6,1,0.75,0.4] relative_absolute_error 0.3671487052072547 relative_absolute_error 0.3701677662405016 relative_absolute_error 0.3759851885683206 relative_absolute_error 0.35048146856957707 relative_absolute_error 0.36162033358182394 relative_absolute_error 0.3508310124046307 relative_absolute_error 0.3631433955751497 relative_absolute_error 0.3537499820750082 relative_absolute_error 0.34385512026446774 relative_absolute_error 0.3765409604692879 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 0.16683916148703792 root_mean_squared_error 0.1736916743321146 root_mean_squared_error 0.17471504066622154 root_mean_squared_error 0.16013108059360007 root_mean_squared_error 0.16368846006161863 root_mean_squared_error 0.15926125473936323 root_mean_squared_error 0.16417435003216724 root_mean_squared_error 0.1614353418143631 root_mean_squared_error 0.1572133111906138 root_mean_squared_error 0.1710238034217867 root_relative_squared_error 0.5561305382901268 root_relative_squared_error 0.5789722477737156 root_relative_squared_error 0.5823834688874054 root_relative_squared_error 0.533770268645334 root_relative_squared_error 0.5456282002053957 root_relative_squared_error 0.5308708491312111 root_relative_squared_error 0.5472478334405578 root_relative_squared_error 0.5381178060478773 root_relative_squared_error 0.5240443706353797 root_relative_squared_error 0.5700793447392893 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 36119.66729500091 usercpu_time_millis 35508.44377900012 usercpu_time_millis 36171.81183100001 usercpu_time_millis 35872.760365999966 usercpu_time_millis 35802.39456700019 usercpu_time_millis 36346.60576600072 usercpu_time_millis 36030.810045999715 usercpu_time_millis 37024.93403400058 usercpu_time_millis 36210.92696899996 usercpu_time_millis 36380.82655800099 usercpu_time_millis_testing 89.77534800033027 usercpu_time_millis_testing 88.94188700014638 usercpu_time_millis_testing 89.41076200062525 usercpu_time_millis_testing 88.08723099991767 usercpu_time_millis_testing 99.71763500016095 usercpu_time_millis_testing 88.3481490000122 usercpu_time_millis_testing 90.1838729996598 usercpu_time_millis_testing 89.13114900042274 usercpu_time_millis_testing 87.85639500001707 usercpu_time_millis_testing 96.82221800085244 usercpu_time_millis_training 36029.89194700058 usercpu_time_millis_training 35419.50189199997 usercpu_time_millis_training 36082.40106899939 usercpu_time_millis_training 35784.67313500005 usercpu_time_millis_training 35702.67693200003 usercpu_time_millis_training 36258.25761700071 usercpu_time_millis_training 35940.626173000055 usercpu_time_millis_training 36935.80288500016 usercpu_time_millis_training 36123.07057399994 usercpu_time_millis_training 36284.00434000014