8917180 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) 6854170 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 0.5955457362671953 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 20 7684 min_samples_split 2 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 18749988 description https://api.openml.org/data/download/18749988/description.xml -1 18749989 predictions https://api.openml.org/data/download/18749989/predictions.arff area_under_roc_curve 0.9766858333333333 [0.9998,0.963731,0.993581,0.981244,0.964644,0.991033,0.941181,0.990233,0.995808,0.945603] average_cost 0 f_measure 0.8014844266318972 [0.97284,0.743276,0.942643,0.85641,0.727273,0.881188,0.538272,0.862559,0.938144,0.552239] kappa 0.7794444444444444 kb_relative_information_score 1511.2391514259166 mean_absolute_error 0.0679800154316832 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8030769621693725 [0.960976,0.727273,0.940299,0.878947,0.781609,0.872549,0.531707,0.81982,0.968085,0.549505] predictive_accuracy 0.8015000000000001 prior_entropy 3.321928094887362 recall 0.8015 [0.985,0.76,0.945,0.835,0.68,0.89,0.545,0.91,0.91,0.555] relative_absolute_error 0.37766675239822833 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1703539012993766 root_relative_squared_error 0.56784633766458 total_cost 0 area_under_roc_curve 0.9771666666666668 [1,0.961944,0.991944,0.990278,0.959722,0.999444,0.929722,0.988056,0.992778,0.957778] area_under_roc_curve 0.9756944444444444 [0.999167,0.973333,0.992222,0.981667,0.946667,0.986111,0.953333,0.987222,0.993056,0.944167] area_under_roc_curve 0.9706111111111112 [1,0.970833,0.999722,0.957222,0.957222,0.989444,0.905833,0.99,1,0.935833] area_under_roc_curve 0.9818888888888887 [1,0.958889,0.991111,0.991111,0.983333,0.994167,0.970556,0.993611,0.999167,0.936944] area_under_roc_curve 0.9818888888888888 [1,0.959722,0.998333,0.993056,0.981944,0.994167,0.955556,0.990556,0.999444,0.946111] area_under_roc_curve 0.9810555555555556 [0.999167,0.959167,1,0.980833,0.988889,0.988889,0.948333,0.992222,0.996944,0.956111] area_under_roc_curve 0.9784999999999999 [0.999444,0.9725,0.984444,0.990278,0.983056,0.981944,0.961389,0.985556,0.999444,0.926944] area_under_roc_curve 0.975361111111111 [1,0.969167,0.998333,0.966389,0.935833,0.994722,0.943889,0.993889,0.987778,0.963611] area_under_roc_curve 0.9783055555555555 [1,0.951944,0.999722,0.997222,0.977778,0.984167,0.931944,0.994167,1,0.946111] area_under_roc_curve 0.9709722222222221 [1,0.972778,0.985,0.970833,0.941944,0.996944,0.913611,0.993889,0.990278,0.944444] 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 0.8006819910791908 [0.95,0.772727,0.883721,0.888889,0.744186,0.974359,0.473684,0.810811,0.923077,0.585366] f_measure 0.771129426129426 [0.95,0.820513,0.871795,0.820513,0.611111,0.761905,0.571429,0.809524,0.923077,0.571429] f_measure 0.7679268634189969 [1,0.682927,0.974359,0.736842,0.648649,0.829268,0.428571,0.820513,1,0.55814] f_measure 0.8096498624759494 [1,0.666667,0.95,0.904762,0.695652,0.871795,0.648649,0.820513,0.974359,0.564103] f_measure 0.8148394459317047 [0.97561,0.666667,0.974359,0.904762,0.742857,0.909091,0.619048,0.826087,0.974359,0.555556] f_measure 0.8015941123244761 [0.97561,0.727273,0.97561,0.810811,0.736842,0.9,0.55,0.930233,0.923077,0.486486] f_measure 0.8082318113223866 [0.952381,0.772727,0.918919,0.85,0.787879,0.837209,0.631579,0.844444,0.974359,0.512821] f_measure 0.8173885382280165 [1,0.75,0.97561,0.85,0.742857,0.871795,0.545455,0.930233,0.888889,0.619048] f_measure 0.8386095160657061 [0.974359,0.810811,0.97561,0.952381,0.833333,0.923077,0.473684,0.909091,0.97561,0.55814] f_measure 0.7822967926350846 [0.952381,0.755556,0.926829,0.823529,0.742857,0.947368,0.454545,0.909091,0.810811,0.5] kappa 0.7777777777777778 kappa 0.7444444444444445 kappa 0.7388888888888889 kappa 0.788888888888889 kappa 0.7999999999999999 kappa 0.7833333333333334 kappa 0.788888888888889 kappa 0.7944444444444444 kappa 0.8222222222222222 kappa 0.7555555555555555 kb_relative_information_score 150.0589068865931 kb_relative_information_score 148.43071577144767 kb_relative_information_score 147.0799767415434 kb_relative_information_score 153.00965827702075 kb_relative_information_score 152.75432697669459 kb_relative_information_score 153.2143653612759 kb_relative_information_score 151.20637439944704 kb_relative_information_score 152.85996725525487 kb_relative_information_score 154.4872027778212 kb_relative_information_score 148.1376569788192 mean_absolute_error 0.070183651266915 mean_absolute_error 0.06915083484366034 mean_absolute_error 0.07040308536000864 mean_absolute_error 0.06599006438368905 mean_absolute_error 0.06724572154714922 mean_absolute_error 0.06620063843570793 mean_absolute_error 0.06878807317048492 mean_absolute_error 0.06588664760010456 mean_absolute_error 0.06536766672333963 mean_absolute_error 0.07058377098577223 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 0.8081222397425789 [0.95,0.708333,0.826087,1,0.695652,1,0.5,0.882353,0.947368,0.571429] precision 0.7754724880382774 [0.95,0.842105,0.894737,0.842105,0.6875,0.727273,0.545455,0.772727,0.947368,0.545455] precision 0.7732785909593018 [1,0.666667,1,0.777778,0.705882,0.809524,0.409091,0.842105,1,0.521739] precision 0.8134903331962156 [1,0.684211,0.95,0.863636,0.615385,0.894737,0.705882,0.842105,1,0.578947] precision 0.8212695637695638 [0.952381,0.75,1,0.863636,0.866667,0.833333,0.590909,0.730769,1,0.625] precision 0.8027904693532638 [0.952381,0.666667,0.952381,0.882353,0.777778,0.9,0.55,0.869565,0.947368,0.529412] precision 0.8203015394216766 [0.909091,0.708333,1,0.85,1,0.782609,0.666667,0.76,1,0.526316] precision 0.8274258769453278 [1,0.75,0.952381,0.85,0.866667,0.894737,0.5,0.869565,1,0.590909] precision 0.8436146639850031 [1,0.882353,0.952381,0.909091,0.9375,0.947368,0.5,0.833333,0.952381,0.521739] precision 0.7992872421695952 [0.909091,0.68,0.904762,1,0.866667,1,0.416667,0.833333,0.882353,0.5] predictive_accuracy 0.8 predictive_accuracy 0.77 predictive_accuracy 0.765 predictive_accuracy 0.81 predictive_accuracy 0.82 predictive_accuracy 0.805 predictive_accuracy 0.81 predictive_accuracy 0.815 predictive_accuracy 0.84 predictive_accuracy 0.78 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 [0.95,0.85,0.95,0.8,0.8,0.95,0.45,0.75,0.9,0.6] recall 0.77 [0.95,0.8,0.85,0.8,0.55,0.8,0.6,0.85,0.9,0.6] recall 0.765 [1,0.7,0.95,0.7,0.6,0.85,0.45,0.8,1,0.6] recall 0.81 [1,0.65,0.95,0.95,0.8,0.85,0.6,0.8,0.95,0.55] recall 0.82 [1,0.6,0.95,0.95,0.65,1,0.65,0.95,0.95,0.5] recall 0.805 [1,0.8,1,0.75,0.7,0.9,0.55,1,0.9,0.45] recall 0.81 [1,0.85,0.85,0.85,0.65,0.9,0.6,0.95,0.95,0.5] recall 0.815 [1,0.75,1,0.85,0.65,0.85,0.6,1,0.8,0.65] recall 0.84 [0.95,0.75,1,1,0.75,0.9,0.45,1,1,0.6] recall 0.78 [1,0.85,0.95,0.7,0.65,0.9,0.5,1,0.75,0.5] relative_absolute_error 0.38990917370508377 relative_absolute_error 0.38417130468700234 relative_absolute_error 0.3911282520000484 relative_absolute_error 0.36661146879827294 relative_absolute_error 0.37358734192860715 relative_absolute_error 0.3677813246428223 relative_absolute_error 0.38215596205825003 relative_absolute_error 0.36603693111169244 relative_absolute_error 0.3631537040185539 relative_absolute_error 0.3921320610320684 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 0.17290411944053796 root_mean_squared_error 0.17877677192133645 root_mean_squared_error 0.1793101725657851 root_mean_squared_error 0.16546119519316607 root_mean_squared_error 0.1668979676863048 root_mean_squared_error 0.16469898135247496 root_mean_squared_error 0.17045083034369402 root_mean_squared_error 0.16596329264780238 root_mean_squared_error 0.16311936990446516 root_mean_squared_error 0.17502025052829553 root_relative_squared_error 0.5763470648017937 root_relative_squared_error 0.595922573071122 root_relative_squared_error 0.597700575219284 root_relative_squared_error 0.551537317310554 root_relative_squared_error 0.5563265589543497 root_relative_squared_error 0.5489966045082503 root_relative_squared_error 0.5681694344789804 root_relative_squared_error 0.553210975492675 root_relative_squared_error 0.5437312330148842 root_relative_squared_error 0.5834008350943187 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 38616.086567999446 usercpu_time_millis 38979.469054997026 usercpu_time_millis 39142.67020799889 usercpu_time_millis 35469.342114003666 usercpu_time_millis 38791.09986200638 usercpu_time_millis 39149.23345999705 usercpu_time_millis 39107.03032400488 usercpu_time_millis 37920.945527992444 usercpu_time_millis 38169.815251007094 usercpu_time_millis 39108.71346400381 usercpu_time_millis_testing 91.364022999187 usercpu_time_millis_testing 90.91387399530504 usercpu_time_millis_testing 90.1453889964614 usercpu_time_millis_testing 96.50086799956625 usercpu_time_millis_testing 90.55905700370204 usercpu_time_millis_testing 89.14894199551782 usercpu_time_millis_testing 88.79932600393659 usercpu_time_millis_testing 63.18564099638024 usercpu_time_millis_testing 92.69496500201058 usercpu_time_millis_testing 90.16044200689066 usercpu_time_millis_training 38524.72254500026 usercpu_time_millis_training 38888.55518100172 usercpu_time_millis_training 39052.52481900243 usercpu_time_millis_training 35372.8412460041 usercpu_time_millis_training 38700.540805002674 usercpu_time_millis_training 39060.08451800153 usercpu_time_millis_training 39018.230998000945 usercpu_time_millis_training 37857.759886996064 usercpu_time_millis_training 38077.12028600508 usercpu_time_millis_training 39018.55302199692