8913843 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) 6850961 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 "gini" 7684 max_depth null 7684 max_features 0.2162619666534542 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 3 7684 min_samples_split 15 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 18743344 description https://api.openml.org/data/download/18743344/description.xml -1 18743345 predictions https://api.openml.org/data/download/18743345/predictions.arff area_under_roc_curve 0.9830102777777778 [1,0.977786,0.997333,0.9943,0.980692,0.994033,0.946869,0.993247,0.998861,0.946981] average_cost 0 f_measure 0.8288774311914284 [0.992519,0.793893,0.950249,0.911839,0.817942,0.902913,0.528678,0.890476,0.964286,0.53598] kappa 0.8099999999999999 kb_relative_information_score 1526.4891555318723 mean_absolute_error 0.07037436289748208 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8299704353816599 [0.99005,0.80829,0.945545,0.918782,0.865922,0.877358,0.527363,0.85,0.984375,0.53202] predictive_accuracy 0.8290000000000001 prior_entropy 3.321928094887362 recall 0.829 [0.995,0.78,0.955,0.905,0.775,0.93,0.53,0.935,0.945,0.54] relative_absolute_error 0.3909686827637773 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1632312166943514 root_relative_squared_error 0.5441040556478296 total_cost 0 area_under_roc_curve 0.980722222222222 [1,0.979444,0.994444,0.9975,0.969722,1,0.9175,0.994167,0.999444,0.955] area_under_roc_curve 0.9818055555555557 [1,0.977778,0.997222,0.99,0.976389,0.991667,0.946389,0.99,0.998333,0.950278] area_under_roc_curve 0.981611111111111 [1,0.981389,1,0.986389,0.988889,0.994444,0.924444,0.992778,1,0.947778] area_under_roc_curve 0.987861111111111 [1,0.981944,0.996389,0.996389,0.992778,0.994167,0.976944,0.995833,0.998333,0.945833] area_under_roc_curve 0.9834166666666667 [1,0.971667,0.998889,0.993611,0.993333,0.993333,0.951944,0.994444,1,0.936944] area_under_roc_curve 0.9844166666666669 [1,0.978611,1,0.995833,0.994167,0.993333,0.944444,0.993333,0.999167,0.945278] area_under_roc_curve 0.9829444444444444 [1,0.971111,0.9975,0.9975,0.981111,0.985556,0.971389,0.989722,1,0.935556] area_under_roc_curve 0.9864444444444443 [1,0.974167,0.997778,0.995,0.975278,0.998056,0.961389,0.996111,0.997222,0.969444] area_under_roc_curve 0.9831666666666666 [1,0.982222,1,0.998056,0.983056,0.987222,0.945,0.996111,1,0.94] area_under_roc_curve 0.9788333333333332 [1,0.980833,0.991389,0.998889,0.958889,0.999722,0.928889,0.993611,0.995833,0.940278] 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 0.810688908312576 [0.974359,0.790698,0.926829,0.947368,0.829268,1,0.378378,0.871795,0.923077,0.465116] f_measure 0.7939655503070137 [1,0.810811,0.952381,0.9,0.722222,0.818182,0.432432,0.829268,0.974359,0.5] f_measure 0.8163937282229966 [1,0.761905,0.974359,0.8,0.820513,0.9,0.45,0.871795,1,0.585366] f_measure 0.8454258492897773 [1,0.789474,0.974359,0.926829,0.772727,0.878049,0.666667,0.871795,0.974359,0.6] f_measure 0.817723780092201 [1,0.702703,0.947368,0.9,0.810811,0.909091,0.55,0.844444,1,0.512821] f_measure 0.8533741819942077 [1,0.857143,1,0.894737,0.894737,0.926829,0.571429,0.952381,0.95,0.486486] f_measure 0.8585216617543392 [1,0.820513,0.923077,0.95,0.857143,0.883721,0.682927,0.888889,1,0.578947] f_measure 0.8500226733795411 [1,0.761905,0.95,0.926829,0.810811,0.871795,0.666667,0.909091,0.918919,0.684211] f_measure 0.8353095061489842 [1,0.8,0.97561,0.952381,0.833333,0.9,0.461538,0.930233,1,0.5] f_measure 0.8076058168897826 [0.952381,0.842105,0.883721,0.918919,0.833333,0.95,0.409091,0.930233,0.894737,0.461538] kappa 0.788888888888889 kappa 0.7722222222222223 kappa 0.7944444444444444 kappa 0.8277777777777777 kappa 0.7999999999999999 kappa 0.8388888888888889 kappa 0.8444444444444444 kappa 0.8333333333333333 kappa 0.8166666666666667 kappa 0.7833333333333334 kb_relative_information_score 151.42022152477165 kb_relative_information_score 151.86092380964678 kb_relative_information_score 151.12812906357212 kb_relative_information_score 154.4417406146082 kb_relative_information_score 151.32878456068713 kb_relative_information_score 155.24581719779678 kb_relative_information_score 153.21900195191063 kb_relative_information_score 153.6009441865688 kb_relative_information_score 155.44449009777415 kb_relative_information_score 148.79910252453539 mean_absolute_error 0.07211548228492365 mean_absolute_error 0.07101215057747154 mean_absolute_error 0.07202453365746327 mean_absolute_error 0.06881047068441166 mean_absolute_error 0.07167517007728805 mean_absolute_error 0.06774201510930258 mean_absolute_error 0.07021255146436023 mean_absolute_error 0.06988066839581242 mean_absolute_error 0.06752734609681638 mean_absolute_error 0.0727432406269707 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 0.8142068726804221 [1,0.73913,0.904762,1,0.809524,1,0.411765,0.894737,0.947368,0.434783] precision 0.7992389228418639 [1,0.882353,0.909091,0.9,0.8125,0.75,0.470588,0.809524,1,0.458333] precision 0.8185543403964456 [1,0.727273,1,0.8,0.842105,0.9,0.45,0.894737,1,0.571429] precision 0.8482518796992481 [1,0.833333,1,0.904762,0.708333,0.857143,0.684211,0.894737,1,0.6] precision 0.8216707946336429 [1,0.764706,1,0.9,0.882353,0.833333,0.55,0.76,1,0.526316] precision 0.8545789831083949 [1,0.818182,1,0.944444,0.944444,0.904762,0.545455,0.909091,0.95,0.529412] precision 0.8643338418510044 [1,0.842105,0.947368,0.95,1,0.826087,0.666667,0.8,1,0.611111] precision 0.8551043607235558 [1,0.727273,0.95,0.904762,0.882353,0.894737,0.636364,0.833333,1,0.722222] precision 0.8433887956056147 [1,0.933333,0.952381,0.909091,0.9375,0.9,0.473684,0.869565,1,0.458333] precision 0.8174260626863602 [0.909091,0.888889,0.826087,1,0.9375,0.95,0.375,0.869565,0.944444,0.473684] predictive_accuracy 0.81 predictive_accuracy 0.795 predictive_accuracy 0.815 predictive_accuracy 0.845 predictive_accuracy 0.82 predictive_accuracy 0.855 predictive_accuracy 0.86 predictive_accuracy 0.85 predictive_accuracy 0.835 predictive_accuracy 0.805 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 0.81 [0.95,0.85,0.95,0.9,0.85,1,0.35,0.85,0.9,0.5] recall 0.795 [1,0.75,1,0.9,0.65,0.9,0.4,0.85,0.95,0.55] recall 0.815 [1,0.8,0.95,0.8,0.8,0.9,0.45,0.85,1,0.6] recall 0.845 [1,0.75,0.95,0.95,0.85,0.9,0.65,0.85,0.95,0.6] recall 0.82 [1,0.65,0.9,0.9,0.75,1,0.55,0.95,1,0.5] recall 0.855 [1,0.9,1,0.85,0.85,0.95,0.6,1,0.95,0.45] recall 0.86 [1,0.8,0.9,0.95,0.75,0.95,0.7,1,1,0.55] recall 0.85 [1,0.8,0.95,0.95,0.75,0.85,0.7,1,0.85,0.65] recall 0.835 [1,0.7,1,1,0.75,0.9,0.45,1,1,0.55] recall 0.805 [1,0.8,0.95,0.85,0.75,0.95,0.45,1,0.85,0.45] relative_absolute_error 0.4006415682495763 relative_absolute_error 0.3945119476526201 relative_absolute_error 0.4001362980970186 relative_absolute_error 0.3822803926911763 relative_absolute_error 0.39819538931826737 relative_absolute_error 0.3763445283850148 relative_absolute_error 0.3900697303575572 relative_absolute_error 0.3882259355322916 relative_absolute_error 0.3751519227600914 relative_absolute_error 0.4041291145942821 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 0.16636006901054737 root_mean_squared_error 0.1676529403282941 root_mean_squared_error 0.16591443465217764 root_mean_squared_error 0.15775292294035073 root_mean_squared_error 0.16672114976219915 root_mean_squared_error 0.15755310014681995 root_mean_squared_error 0.16197279967443406 root_mean_squared_error 0.16117795351518738 root_mean_squared_error 0.15645078800144258 root_mean_squared_error 0.17011244812534088 root_relative_squared_error 0.5545335633684916 root_relative_squared_error 0.5588431344276473 root_relative_squared_error 0.5530481155072592 root_relative_squared_error 0.5258430764678361 root_relative_squared_error 0.5557371658739975 root_relative_squared_error 0.5251770004894002 root_relative_squared_error 0.5399093322481139 root_relative_squared_error 0.5372598450506249 root_relative_squared_error 0.5215026266714756 root_relative_squared_error 0.5670414937511365 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 12596.93560800224 usercpu_time_millis 12583.70523099802 usercpu_time_millis 12609.717897001246 usercpu_time_millis 12754.835716001253 usercpu_time_millis 12518.364696003118 usercpu_time_millis 12729.095688999223 usercpu_time_millis 12608.098656000948 usercpu_time_millis 12811.39131400414 usercpu_time_millis 12535.65453400006 usercpu_time_millis 12531.250020998414 usercpu_time_millis_testing 93.25905200239504 usercpu_time_millis_testing 92.14636599790538 usercpu_time_millis_testing 93.73608300302294 usercpu_time_millis_testing 96.63587500108406 usercpu_time_millis_testing 90.87634000024991 usercpu_time_millis_testing 91.14443799990113 usercpu_time_millis_testing 92.34101800029748 usercpu_time_millis_testing 96.52001300128177 usercpu_time_millis_testing 89.93693199954578 usercpu_time_millis_testing 94.91464299935615 usercpu_time_millis_training 12503.676555999846 usercpu_time_millis_training 12491.558865000115 usercpu_time_millis_training 12515.981813998224 usercpu_time_millis_training 12658.199841000169 usercpu_time_millis_training 12427.488356002868 usercpu_time_millis_training 12637.951250999322 usercpu_time_millis_training 12515.75763800065 usercpu_time_millis_training 12714.871301002859 usercpu_time_millis_training 12445.717602000514 usercpu_time_millis_training 12436.335377999058