9014510 1935 Hilde Weerts 146802 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6949960 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 copy true 7646 with_mean false 7646 with_std true 7646 C 0.13942352393052554 7650 cache_size 200 7650 class_weight null 7650 coef0 0.10787729512179689 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.00011724315461962722 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 2.7009042017379554e-05 7650 verbose false 7650 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 memory null 8317 openml-python Sklearn_0.19.1. study_98 40971 collins https://www.openml.org/data/download/17953251/php5OMDBD -1 18943807 description https://api.openml.org/data/download/18943807/description.xml -1 18943808 predictions https://api.openml.org/data/download/18943808/predictions.arff area_under_roc_curve 0.5081521739130435 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.40788,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.694022,0.5,0.5,0.5,0.5,0.5,0.5] average_cost 0 kappa 0.016304347826086956 kb_relative_information_score 62.606232776274894 mean_absolute_error 0.06033333333333465 mean_prior_absolute_error 0.06362666666666673 number_of_instances 1000 [44,27,17,17,36,48,75,30,80,29,24,6,29,29,9,44,27,17,17,36,48,75,30,80,29,24,6,29,29,9] predictive_accuracy 0.095 prior_entropy 4.664224865324832 recall 0.095 [0,0,0,0,0,0,0,0,0.5375,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.65,0,0,0,0,0,0] relative_absolute_error 0.9482397317686702 root_mean_prior_squared_error 0.17832953750912986 root_mean_squared_error 0.24562844569254322 root_relative_squared_error 1.3773850878740033 total_cost 0 area_under_roc_curve 0.5217391304347827 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.557065,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.714674,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5054347826086957 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.404891,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.663043,0.5,0.5,0.0,0.5,0.5,0.5] area_under_roc_curve 0.5163043478260869 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.442935,0.5,0.5,0.5,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.76087,0.5,0.5,0.0,0.5,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.434783,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.565217,0.5,0.5,0.0,0.5,0.5,0.5] area_under_roc_curve 0.5054347826086957 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.293478,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.774457,0.5,0.5,0.0,0.5,0.5,0.0] area_under_roc_curve 0.5108695652173914 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.470109,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.665761,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.48913043478260876 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.30163,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5625,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5163043478260869 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.494565,0.5,0.5,0.0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.709239,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5108695652173914 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.293478,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.842391,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5054347826086957 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.38587,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.682065,0.5,0.5,0.5,0.5,0.5,0.5] 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 kappa 0.04347826086956521 kappa 0.010869565217391299 kappa 0.03260869565217391 kappa 0 kappa 0.010869565217391299 kappa 0.02173913043478261 kappa -0.02173913043478261 kappa 0.03260869565217391 kappa 0.02173913043478261 kappa 0.010869565217391299 kb_relative_information_score 8.284598204322585 kb_relative_information_score 5.854035393515321 kb_relative_information_score 7.457083737775799 kb_relative_information_score 5.049544938505996 kb_relative_information_score 5.849180626646593 kb_relative_information_score 6.672666387092182 kb_relative_information_score 3.426446124132636 kb_relative_information_score 7.491996250254727 kb_relative_information_score 6.667361814672616 kb_relative_information_score 5.8533192993564676 mean_absolute_error 0.05866666666666665 mean_absolute_error 0.06066666666666665 mean_absolute_error 0.05933333333333332 mean_absolute_error 0.06133333333333331 mean_absolute_error 0.06066666666666665 mean_absolute_error 0.059999999999999984 mean_absolute_error 0.06266666666666663 mean_absolute_error 0.05933333333333332 mean_absolute_error 0.059999999999999984 mean_absolute_error 0.06066666666666665 mean_prior_absolute_error 0.06361488673139154 mean_prior_absolute_error 0.06362524271844655 mean_prior_absolute_error 0.06358252427184462 mean_prior_absolute_error 0.06364077669902908 mean_prior_absolute_error 0.06361488673139153 mean_prior_absolute_error 0.0636394822006472 mean_prior_absolute_error 0.06364207119741096 mean_prior_absolute_error 0.06365436893203878 mean_prior_absolute_error 0.06362847896440124 mean_prior_absolute_error 0.06362394822006467 number_of_instances 100 [5,3,1,1,4,5,7,3,8,2,2,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,1,3,3,1] number_of_instances 100 [4,3,2,1,3,5,7,3,8,3,3,1,3,3,1,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1] number_of_instances 100 [4,3,2,1,3,5,8,3,8,3,3,1,3,3,0,4,3,2,1,4,5,8,3,8,3,2,0,3,3,1] number_of_instances 100 [4,3,2,2,3,5,8,3,8,3,3,1,2,3,1,4,3,2,2,4,5,7,3,8,2,2,0,3,3,1] number_of_instances 100 [4,2,2,2,3,5,8,3,8,3,3,0,3,3,1,4,3,2,2,4,5,7,3,8,3,3,0,3,3,0] number_of_instances 100 [4,2,2,2,4,5,8,3,8,3,2,0,3,3,1,4,3,2,2,3,5,7,3,8,3,3,1,2,3,1] number_of_instances 100 [4,2,2,2,4,4,8,3,8,3,2,0,3,3,1,5,3,2,2,3,5,7,3,8,3,3,1,3,2,1] number_of_instances 100 [5,3,2,2,4,4,7,3,8,3,2,0,3,3,1,5,2,1,2,3,5,7,3,8,3,3,1,3,3,1] number_of_instances 100 [5,3,1,2,4,5,7,3,8,3,2,1,3,3,1,5,2,1,2,3,4,8,3,8,3,2,1,3,3,1] number_of_instances 100 [5,3,1,2,4,5,7,3,8,3,2,1,3,2,1,5,2,1,2,4,4,8,3,8,3,2,1,3,3,1] predictive_accuracy 0.12 predictive_accuracy 0.09 predictive_accuracy 0.11 predictive_accuracy 0.08 predictive_accuracy 0.09 predictive_accuracy 0.1 predictive_accuracy 0.06 predictive_accuracy 0.11 predictive_accuracy 0.1 predictive_accuracy 0.09 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 prior_entropy 4.664224865324832 recall 0.12 [0,0,0,0,0,0,0,0,0.875,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0] recall 0.09 [0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0.0,0,0,0] recall 0.11 [0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0.0,0,0,0,0,0,0,0,0,0.75,0,0,0.0,0,0,0] recall 0.08 [0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.5,0,0,0.0,0,0,0] recall 0.09 [0,0,0,0,0,0,0,0,0.25,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.875,0,0,0.0,0,0,0.0] recall 0.1 [0,0,0,0,0,0,0,0,0.625,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0] recall 0.06 [0,0,0,0,0,0,0,0,0.375,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.375,0,0,0,0,0,0] recall 0.11 [0,0,0,0,0,0,0,0,0.75,0,0,0.0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0] recall 0.1 [0,0,0,0,0,0,0,0,0.25,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0] recall 0.09 [0,0,0,0,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.625,0,0,0,0,0,0] relative_absolute_error 0.9222160044767772 relative_absolute_error 0.9534999643950728 relative_absolute_error 0.9331704585941878 relative_absolute_error 0.9637426900584799 relative_absolute_error 0.9536551864475765 relative_absolute_error 0.942810939454655 relative_absolute_error 0.9846735891464198 relative_absolute_error 0.9321172187989348 relative_absolute_error 0.9429739792077803 relative_absolute_error 0.9535193643882445 root_mean_prior_squared_error 0.17829650589101573 root_mean_prior_squared_error 0.17832554500127015 root_mean_prior_squared_error 0.1782057281722394 root_mean_prior_squared_error 0.1783690948022738 root_mean_prior_squared_error 0.17829650589101576 root_mean_prior_squared_error 0.17836546605831713 root_mean_prior_squared_error 0.17837272347240885 root_mean_prior_squared_error 0.17840719215769374 root_mean_prior_squared_error 0.17833461875349585 root_mean_prior_squared_error 0.17832191537110112 root_mean_squared_error 0.2422120283277993 root_mean_squared_error 0.24630604269214884 root_mean_squared_error 0.2435843454192681 root_mean_squared_error 0.24765567494675608 root_mean_squared_error 0.24630604269214884 root_mean_squared_error 0.24494897427831777 root_mean_squared_error 0.25033311140691444 root_mean_squared_error 0.2435843454192681 root_mean_squared_error 0.24494897427831777 root_mean_squared_error 0.24630604269214884 root_relative_squared_error 1.3584788278232 root_relative_squared_error 1.3812157012636328 root_relative_squared_error 1.3668715810517549 root_relative_squared_error 1.38844498382014 root_relative_squared_error 1.3814406595421682 root_relative_squared_error 1.3732982044754727 root_relative_squared_error 1.4034270853392932 root_relative_squared_error 1.3653280592183998 root_relative_squared_error 1.3735357497632024 root_relative_squared_error 1.381243815038481 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 245.63960899999415 usercpu_time_millis 199.56672299999667 usercpu_time_millis 238.40434600000293 usercpu_time_millis 198.47493299999996 usercpu_time_millis 236.81570300000487 usercpu_time_millis 230.68925799999818 usercpu_time_millis 230.9366550000007 usercpu_time_millis 232.24645199999827 usercpu_time_millis 242.74515299999422 usercpu_time_millis 232.7942020000009 usercpu_time_millis_testing 7.911231999997881 usercpu_time_millis_testing 9.471612999995216 usercpu_time_millis_testing 9.23702200000065 usercpu_time_millis_testing 9.39962300000019 usercpu_time_millis_testing 9.395265000001984 usercpu_time_millis_testing 9.096128999999564 usercpu_time_millis_testing 9.100644999996632 usercpu_time_millis_testing 13.018137999999624 usercpu_time_millis_testing 8.10673399999473 usercpu_time_millis_testing 9.04589499999986 usercpu_time_millis_training 237.72837699999627 usercpu_time_millis_training 190.09511000000145 usercpu_time_millis_training 229.16732400000228 usercpu_time_millis_training 189.07530999999977 usercpu_time_millis_training 227.4204380000029 usercpu_time_millis_training 221.5931289999986 usercpu_time_millis_training 221.83601000000408 usercpu_time_millis_training 219.22831399999865 usercpu_time_millis_training 234.6384189999995 usercpu_time_millis_training 223.74830700000103