8917069 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) 6854066 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 0.9297663074028629 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 18 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 18749768 description https://api.openml.org/data/download/18749768/description.xml -1 18749769 predictions https://api.openml.org/data/download/18749769/predictions.arff area_under_roc_curve 0.965871388888889 [0.999111,0.942789,0.982879,0.967403,0.947418,0.983653,0.925967,0.985864,0.992406,0.931225] average_cost 0 f_measure 0.7624469661707393 [0.968215,0.669746,0.883838,0.818428,0.671717,0.80916,0.525301,0.812065,0.926316,0.539683] kappa 0.735 kb_relative_information_score 1485.5389957869972 mean_absolute_error 0.06478936698355144 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7673803897604025 [0.947368,0.622318,0.892857,0.893491,0.678571,0.823834,0.506977,0.757576,0.977778,0.573034] predictive_accuracy 0.7615000000000001 prior_entropy 3.321928094887362 recall 0.7615 [0.99,0.725,0.875,0.755,0.665,0.795,0.545,0.875,0.88,0.51] relative_absolute_error 0.3599409276863858 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18358433715322545 root_relative_squared_error 0.6119477905107421 total_cost 0 area_under_roc_curve 0.9713888888888889 [0.998889,0.956944,0.980556,0.971111,0.959722,0.9975,0.924722,0.983056,0.994167,0.947222] area_under_roc_curve 0.9660000000000001 [0.997778,0.964722,0.961667,0.974167,0.9275,0.978889,0.947778,0.980278,0.986111,0.941111] area_under_roc_curve 0.9584861111111111 [1,0.940278,0.993889,0.946944,0.937778,0.976944,0.894028,0.977778,1,0.917222] area_under_roc_curve 0.970972222222222 [1,0.928611,0.985278,0.991111,0.960278,0.994722,0.945556,0.985,0.998056,0.921111] area_under_roc_curve 0.9766944444444445 [1,0.946667,0.998333,0.986389,0.974444,0.985556,0.945278,0.991111,0.997222,0.941944] area_under_roc_curve 0.9710277777777777 [0.999167,0.936667,1,0.952778,0.970556,0.988611,0.929167,0.992778,0.993056,0.9475] area_under_roc_curve 0.9680972222222222 [0.999444,0.968889,0.960833,0.976944,0.966667,0.9775,0.955556,0.985,0.998056,0.892083] area_under_roc_curve 0.9659027777777779 [1,0.955139,0.992222,0.956111,0.907778,0.992222,0.931111,0.993333,0.978611,0.9525] area_under_roc_curve 0.967861111111111 [1,0.906111,0.998889,0.995,0.965556,0.964167,0.919722,0.989167,1,0.94] area_under_roc_curve 0.953125 [0.999722,0.937222,0.970139,0.946667,0.923611,0.990278,0.8825,0.992778,0.973333,0.915] 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 0.7580156628484298 [0.952381,0.693878,0.829268,0.823529,0.651163,0.864865,0.512821,0.717949,0.918919,0.615385] f_measure 0.7700581338759035 [0.904762,0.731707,0.8,0.842105,0.666667,0.780488,0.680851,0.780488,0.918919,0.594595] f_measure 0.738450189820903 [1,0.604651,0.918919,0.742857,0.652174,0.829268,0.465116,0.722222,0.97561,0.473684] f_measure 0.7751930929579806 [1,0.604651,0.883721,0.842105,0.695652,0.8,0.611111,0.772727,0.947368,0.594595] f_measure 0.734534404554735 [0.97561,0.55,0.894737,0.820513,0.606061,0.744186,0.55814,0.77551,0.95,0.470588] f_measure 0.7857586539665532 [0.97561,0.75,0.952381,0.756757,0.65,0.857143,0.52381,0.930233,0.947368,0.514286] f_measure 0.7650926920108081 [0.952381,0.693878,0.833333,0.864865,0.727273,0.772727,0.55814,0.8,0.918919,0.529412] f_measure 0.77555409962021 [0.974359,0.625,0.894737,0.85,0.702703,0.833333,0.52381,0.909091,0.857143,0.585366] f_measure 0.7699202847675052 [1,0.727273,0.952381,0.871795,0.666667,0.736842,0.352941,0.826087,1,0.565217] f_measure 0.7428131183959121 [0.952381,0.723404,0.871795,0.75,0.7,0.888889,0.434783,0.863636,0.810811,0.432432] kappa 0.7277777777777777 kappa 0.7444444444444445 kappa 0.7055555555555556 kappa 0.75 kappa 0.7111111111111111 kappa 0.7666666666666667 kappa 0.7388888888888889 kappa 0.7444444444444445 kappa 0.75 kappa 0.7111111111111111 kb_relative_information_score 148.71297933021623 kb_relative_information_score 146.83939424314252 kb_relative_information_score 141.7898244392265 kb_relative_information_score 150.4105122765354 kb_relative_information_score 150.48609044921383 kb_relative_information_score 150.84013579791292 kb_relative_information_score 149.43416547347533 kb_relative_information_score 150.82583342785935 kb_relative_information_score 153.752790348752 kb_relative_information_score 142.44727000066325 mean_absolute_error 0.06480507233687369 mean_absolute_error 0.0655849012515075 mean_absolute_error 0.06861112492039521 mean_absolute_error 0.06291362417172083 mean_absolute_error 0.06374847430987757 mean_absolute_error 0.0634949401469213 mean_absolute_error 0.06406594959120743 mean_absolute_error 0.0620258190983747 mean_absolute_error 0.06147864848894055 mean_absolute_error 0.07116511551969601 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 0.7749430580033854 [0.909091,0.586207,0.809524,1,0.608696,0.941176,0.526316,0.736842,1,0.631579] precision 0.7780271906742494 [0.863636,0.714286,0.8,0.888889,0.75,0.761905,0.592593,0.761905,1,0.647059] precision 0.7517994505494505 [1,0.565217,1,0.866667,0.576923,0.809524,0.434783,0.8125,0.952381,0.5] precision 0.7871803342295669 [1,0.565217,0.826087,0.888889,0.615385,0.933333,0.6875,0.708333,1,0.647059] precision 0.7452153718783562 [0.952381,0.55,0.944444,0.842105,0.769231,0.695652,0.521739,0.655172,0.95,0.571429] precision 0.787274830880969 [0.952381,0.75,0.909091,0.823529,0.65,0.818182,0.5,0.869565,1,0.6] precision 0.7889980805933051 [0.909091,0.586207,0.9375,0.941176,0.923077,0.708333,0.521739,0.72,1,0.642857] precision 0.7937126517273576 [1,0.535714,0.944444,0.85,0.764706,0.9375,0.5,0.833333,1,0.571429] precision 0.7800386747755169 [1,0.923077,0.909091,0.894737,0.636364,0.777778,0.428571,0.730769,1,0.5] precision 0.766268060857844 [0.909091,0.62963,0.894737,1,0.7,1,0.384615,0.791667,0.882353,0.470588] predictive_accuracy 0.755 predictive_accuracy 0.77 predictive_accuracy 0.735 predictive_accuracy 0.775 predictive_accuracy 0.74 predictive_accuracy 0.79 predictive_accuracy 0.765 predictive_accuracy 0.77 predictive_accuracy 0.775 predictive_accuracy 0.74 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 0.755 [1,0.85,0.85,0.7,0.7,0.8,0.5,0.7,0.85,0.6] recall 0.77 [0.95,0.75,0.8,0.8,0.6,0.8,0.8,0.8,0.85,0.55] recall 0.735 [1,0.65,0.85,0.65,0.75,0.85,0.5,0.65,1,0.45] recall 0.775 [1,0.65,0.95,0.8,0.8,0.7,0.55,0.85,0.9,0.55] recall 0.74 [1,0.55,0.85,0.8,0.5,0.8,0.6,0.95,0.95,0.4] recall 0.79 [1,0.75,1,0.7,0.65,0.9,0.55,1,0.9,0.45] recall 0.765 [1,0.85,0.75,0.8,0.6,0.85,0.6,0.9,0.85,0.45] recall 0.77 [0.95,0.75,0.85,0.85,0.65,0.75,0.55,1,0.75,0.6] recall 0.775 [1,0.6,1,0.85,0.7,0.7,0.3,0.95,1,0.65] recall 0.74 [1,0.85,0.85,0.6,0.7,0.8,0.5,0.95,0.75,0.4] relative_absolute_error 0.3600281796492987 relative_absolute_error 0.3643605625083754 relative_absolute_error 0.38117291622441823 relative_absolute_error 0.34952013428733836 relative_absolute_error 0.3541581906104313 relative_absolute_error 0.3527496674828965 relative_absolute_error 0.355921942173375 relative_absolute_error 0.34458788387985984 relative_absolute_error 0.3415480471607812 relative_absolute_error 0.39536175288720043 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 0.18286638573688302 root_mean_squared_error 0.18917236354378464 root_mean_squared_error 0.19764484272209248 root_mean_squared_error 0.17864328879198668 root_mean_squared_error 0.17986532077298525 root_mean_squared_error 0.17651665742894243 root_mean_squared_error 0.18213233055701555 root_mean_squared_error 0.17807000673365075 root_mean_squared_error 0.1742094688827296 root_mean_squared_error 0.1951644580509227 root_relative_squared_error 0.6095546191229437 root_relative_squared_error 0.6305745451459491 root_relative_squared_error 0.6588161424069753 root_relative_squared_error 0.5954776293066226 root_relative_squared_error 0.5995510692432846 root_relative_squared_error 0.5883888580964751 root_relative_squared_error 0.6071077685233854 root_relative_squared_error 0.5935666891121695 root_relative_squared_error 0.580698229609099 root_relative_squared_error 0.6505481935030761 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 121235.65444799169 usercpu_time_millis 82149.9743480017 usercpu_time_millis 60107.86957000528 usercpu_time_millis 61179.72244900011 usercpu_time_millis 60152.538876005565 usercpu_time_millis 61805.269511001825 usercpu_time_millis 60688.490262000414 usercpu_time_millis 61032.561231004365 usercpu_time_millis 59975.68764200696 usercpu_time_millis 61372.04951699823 usercpu_time_millis_testing 184.23027499375166 usercpu_time_millis_testing 88.21153899771161 usercpu_time_millis_testing 88.84297699842136 usercpu_time_millis_testing 90.57284099981189 usercpu_time_millis_testing 86.25279300031252 usercpu_time_millis_testing 88.25832499860553 usercpu_time_millis_testing 127.20876499952283 usercpu_time_millis_testing 88.3182140023564 usercpu_time_millis_testing 93.05538500484545 usercpu_time_millis_testing 87.33211900107563 usercpu_time_millis_training 121051.42417299794 usercpu_time_millis_training 82061.762809004 usercpu_time_millis_training 60019.026593006856 usercpu_time_millis_training 61089.1496080003 usercpu_time_millis_training 60066.28608300525 usercpu_time_millis_training 61717.01118600322 usercpu_time_millis_training 60561.28149700089 usercpu_time_millis_training 60944.24301700201 usercpu_time_millis_training 59882.632257002115 usercpu_time_millis_training 61284.717397997156