8913026 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) 6850190 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 0.5122614044196322 7684 max_leaf_nodes null 7684 min_impurity_decrease 0.0 7684 min_impurity_split null 7684 min_samples_leaf 1 7684 min_samples_split 6 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 18741716 description https://api.openml.org/data/download/18741716/description.xml -1 18741717 predictions https://api.openml.org/data/download/18741717/predictions.arff area_under_roc_curve 0.9828777777777776 [0.999989,0.977594,0.996253,0.993135,0.979067,0.994844,0.947561,0.992558,0.999083,0.948693] average_cost 0 f_measure 0.8332684469206175 [0.990099,0.815,0.949749,0.902564,0.818898,0.919315,0.541463,0.892086,0.964467,0.539043] kappa 0.8144444444444444 kb_relative_information_score 1618.9528079323236 mean_absolute_error 0.05468235666666666 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8345896322156118 [0.980392,0.815,0.954545,0.926316,0.861878,0.899522,0.528571,0.857143,0.979381,0.543147] predictive_accuracy 0.833 prior_entropy 3.321928094887362 recall 0.833 [1,0.815,0.945,0.88,0.78,0.94,0.555,0.93,0.95,0.535] relative_absolute_error 0.30379087037036095 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.15401413039104922 root_relative_squared_error 0.5133804346368228 total_cost 0 area_under_roc_curve 0.9841111111111112 [1,0.982778,0.994444,0.996389,0.984167,1,0.934444,0.993611,1,0.955278] area_under_roc_curve 0.9820277777777778 [0.999722,0.975,0.995833,0.988611,0.982222,0.990833,0.95,0.990556,0.9975,0.95] area_under_roc_curve 0.977638888888889 [1,0.981944,1,0.978889,0.988611,0.995278,0.905833,0.991944,1,0.933889] area_under_roc_curve 0.9907777777777779 [1,0.984722,0.998889,0.998056,0.989722,0.997778,0.980556,0.995556,0.999722,0.962778] area_under_roc_curve 0.9851944444444445 [1,0.975,1,0.996944,0.988611,0.995278,0.957222,0.991111,1,0.947778] area_under_roc_curve 0.9868055555555556 [1,0.984167,1,0.993333,0.993333,0.995,0.956389,0.994722,1,0.951111] area_under_roc_curve 0.9830833333333334 [1,0.975,0.986944,0.999167,0.986944,0.9925,0.963889,0.988333,1,0.938056] area_under_roc_curve 0.983138888888889 [1,0.971667,0.998056,0.991667,0.950556,0.998611,0.9575,0.9975,0.997778,0.968056] area_under_roc_curve 0.98125 [1,0.969444,1,0.997778,0.981111,0.987222,0.942222,0.995278,1,0.939444] area_under_roc_curve 0.9753055555555556 [1,0.98,0.991111,0.992778,0.942222,0.998056,0.9225,0.991667,0.994444,0.940278] 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 0.8174477397563047 [1,0.772727,0.926829,0.888889,0.829268,1,0.4,0.871795,0.926829,0.55814] f_measure 0.8047845701481848 [0.97561,0.8,0.894737,0.871795,0.742857,0.818182,0.536585,0.883721,0.974359,0.55] f_measure 0.8023141000398666 [1,0.731707,0.947368,0.777778,0.809524,0.926829,0.4,0.871795,1,0.55814] f_measure 0.8656632852974316 [1,0.871795,0.95,0.904762,0.818182,0.923077,0.666667,0.864865,0.974359,0.682927] f_measure 0.8322802769172593 [0.97561,0.769231,0.974359,0.926829,0.8,0.930233,0.55,0.883721,1,0.512821] f_measure 0.8523151922959369 [1,0.878049,1,0.894737,0.871795,0.904762,0.619048,0.904762,0.95,0.5] f_measure 0.8520074576685616 [1,0.878049,0.947368,0.97561,0.857143,0.904762,0.636364,0.863636,1,0.457143] f_measure 0.8563718376940457 [1,0.731707,0.97561,0.894737,0.810811,0.923077,0.681818,0.909091,0.918919,0.717949] f_measure 0.8554262555802992 [1,0.888889,0.97561,0.952381,0.842105,0.923077,0.486486,0.952381,1,0.533333] f_measure 0.7866439234860286 [0.952381,0.842105,0.904762,0.918919,0.8,0.95,0.416667,0.909091,0.894737,0.277778] kappa 0.7999999999999999 kappa 0.7833333333333334 kappa 0.7777777777777778 kappa 0.85 kappa 0.8166666666666667 kappa 0.8388888888888889 kappa 0.8388888888888889 kappa 0.8388888888888889 kappa 0.8388888888888889 kappa 0.7611111111111112 kb_relative_information_score 161.8470642095549 kb_relative_information_score 159.37903403812422 kb_relative_information_score 157.3627588515245 kb_relative_information_score 165.83359906482758 kb_relative_information_score 161.32979185768778 kb_relative_information_score 164.77033865044757 kb_relative_information_score 163.01866563143983 kb_relative_information_score 162.59024267729836 kb_relative_information_score 165.35112335492965 kb_relative_information_score 157.47018959649063 mean_absolute_error 0.055245866666666636 mean_absolute_error 0.057080566666666624 mean_absolute_error 0.058200966666666645 mean_absolute_error 0.05113216666666669 mean_absolute_error 0.05679206666666668 mean_absolute_error 0.05200543333333334 mean_absolute_error 0.053978366666666645 mean_absolute_error 0.05395403333333336 mean_absolute_error 0.050512233333333316 mean_absolute_error 0.057921866666666676 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 0.8210523591587665 [1,0.708333,0.904762,1,0.809524,1,0.466667,0.894737,0.904762,0.521739] precision 0.810812538592859 [0.952381,0.8,0.944444,0.894737,0.866667,0.75,0.52381,0.826087,1,0.55] precision 0.8083250864314937 [1,0.714286,1,0.875,0.772727,0.904762,0.4,0.894737,1,0.521739] precision 0.8697795290364951 [1,0.894737,0.95,0.863636,0.75,0.947368,0.684211,0.941176,1,0.666667] precision 0.8351917838073443 [0.952381,0.789474,1,0.904762,0.933333,0.869565,0.55,0.826087,1,0.526316] precision 0.8527005961874383 [1,0.857143,1,0.944444,0.894737,0.863636,0.590909,0.863636,0.95,0.5625] precision 0.8581493506493506 [1,0.857143,1,0.952381,1,0.863636,0.583333,0.791667,1,0.533333] precision 0.8636007911936703 [1,0.714286,0.952381,0.944444,0.882353,0.947368,0.625,0.833333,1,0.736842] precision 0.8616231845210173 [1,1,0.952381,0.909091,0.888889,0.947368,0.529412,0.909091,1,0.48] precision 0.799237012987013 [0.909091,0.888889,0.863636,1,0.933333,0.95,0.357143,0.833333,0.944444,0.3125] predictive_accuracy 0.82 predictive_accuracy 0.805 predictive_accuracy 0.8 predictive_accuracy 0.865 predictive_accuracy 0.835 predictive_accuracy 0.855 predictive_accuracy 0.855 predictive_accuracy 0.855 predictive_accuracy 0.855 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 0.82 [1,0.85,0.95,0.8,0.85,1,0.35,0.85,0.95,0.6] recall 0.805 [1,0.8,0.85,0.85,0.65,0.9,0.55,0.95,0.95,0.55] recall 0.8 [1,0.75,0.9,0.7,0.85,0.95,0.4,0.85,1,0.6] recall 0.865 [1,0.85,0.95,0.95,0.9,0.9,0.65,0.8,0.95,0.7] recall 0.835 [1,0.75,0.95,0.95,0.7,1,0.55,0.95,1,0.5] recall 0.855 [1,0.9,1,0.85,0.85,0.95,0.65,0.95,0.95,0.45] recall 0.855 [1,0.9,0.9,1,0.75,0.95,0.7,0.95,1,0.4] recall 0.855 [1,0.75,1,0.85,0.75,0.9,0.75,1,0.85,0.7] recall 0.855 [1,0.8,1,1,0.8,0.9,0.45,1,1,0.6] recall 0.785 [1,0.8,0.95,0.85,0.7,0.95,0.5,1,0.85,0.25] relative_absolute_error 0.30692148148148163 relative_absolute_error 0.31711425925925935 relative_absolute_error 0.32333870370370393 relative_absolute_error 0.284067592592593 relative_absolute_error 0.31551148148148195 relative_absolute_error 0.28891907407407447 relative_absolute_error 0.29987981481481507 relative_absolute_error 0.2997446296296301 relative_absolute_error 0.28062351851851874 relative_absolute_error 0.32178814814814855 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 0.15384989701726232 root_mean_squared_error 0.16208733025063302 root_mean_squared_error 0.1666207853513814 root_mean_squared_error 0.14263568834622004 root_mean_squared_error 0.1559696335900749 root_mean_squared_error 0.14612363601492476 root_mean_squared_error 0.1513480703213622 root_mean_squared_error 0.15073108325756837 root_mean_squared_error 0.14561591131390064 root_mean_squared_error 0.16323378748830703 root_relative_squared_error 0.5128329900575413 root_relative_squared_error 0.5402911008354437 root_relative_squared_error 0.5554026178379383 root_relative_squared_error 0.4754522944874004 root_relative_squared_error 0.5198987786335834 root_relative_squared_error 0.48707878671641613 root_relative_squared_error 0.5044935677378742 root_relative_squared_error 0.5024369441918949 root_relative_squared_error 0.4853863710463358 root_relative_squared_error 0.5441126249610237 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 45460.22349699888 usercpu_time_millis 45297.72103200048 usercpu_time_millis 45327.942979 usercpu_time_millis 45461.95417600029 usercpu_time_millis 45535.92965000098 usercpu_time_millis 45517.07937399806 usercpu_time_millis 45782.780805000584 usercpu_time_millis 45477.7870580001 usercpu_time_millis 45977.79465500025 usercpu_time_millis 45969.06996399957 usercpu_time_millis_testing 99.54725399984454 usercpu_time_millis_testing 99.51421100049629 usercpu_time_millis_testing 99.1271710008732 usercpu_time_millis_testing 98.62760900068679 usercpu_time_millis_testing 97.90078900005028 usercpu_time_millis_testing 103.4508429984271 usercpu_time_millis_testing 98.58860100030142 usercpu_time_millis_testing 101.56728400033899 usercpu_time_millis_testing 97.43828700084123 usercpu_time_millis_testing 99.73264600012044 usercpu_time_millis_training 45360.676242999034 usercpu_time_millis_training 45198.206820999985 usercpu_time_millis_training 45228.815807999126 usercpu_time_millis_training 45363.3265669996 usercpu_time_millis_training 45438.02886100093 usercpu_time_millis_training 45413.62853099963 usercpu_time_millis_training 45684.19220400028 usercpu_time_millis_training 45376.219773999765 usercpu_time_millis_training 45880.35636799941 usercpu_time_millis_training 45869.33731799945