6108486 1 Jan van Rijn 146606 Supervised Classification 6969 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier)(1) 4142656 bootstrap false 6902 class_weight null 6902 criterion "entropy" 6902 max_depth null 6902 max_features 0.4605808077018675 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 2 6902 min_samples_split 5 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 5933 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 openml-pimp openml-python Sklearn_0.18.1. study_71 23512 higgs https://www.openml.org/data/download/2063675/phpZLgL9q -1 13140681 description https://api.openml.org/data/download/13140681/description.xml -1 13140682 predictions https://api.openml.org/data/download/13140682/predictions.arff area_under_roc_curve 0.7998366647626602 [0.799837,0.799837] average_cost 0 f_measure 0.7210745169182405 [0.703158,0.737054] kappa 0.4402182282299615 kb_relative_information_score 27660.39380023168 mean_absolute_error 0.3713240948495697 mean_prior_absolute_error 0.4983667141368659 number_of_instances 98050 [46223,51827] precision 0.7210336133817081 [0.705709,0.734701] predictive_accuracy 0.7211320754716981 prior_entropy 0.9976424301660018 recall 0.7211320754716981 [0.700625,0.739422] relative_absolute_error 0.7450820536694057 root_mean_prior_squared_error 0.4991826723867985 root_mean_squared_error 0.42687769461303104 root_relative_squared_error 0.855153269988224 total_cost 0 area_under_roc_curve 0.8044815691315044 [0.804482,0.804482] area_under_roc_curve 0.7991514037217466 [0.799151,0.799151] area_under_roc_curve 0.8017011413992077 [0.801701,0.801701] area_under_roc_curve 0.8020356509518812 [0.802036,0.802036] area_under_roc_curve 0.8044666462346153 [0.804467,0.804467] area_under_roc_curve 0.8006386421407469 [0.800639,0.800639] area_under_roc_curve 0.8033771617810214 [0.803377,0.803377] area_under_roc_curve 0.7884320498904942 [0.788432,0.788432] area_under_roc_curve 0.7895997825330673 [0.7896,0.7896] area_under_roc_curve 0.8046265029642476 [0.804627,0.804627] 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 0.726841030215696 [0.709733,0.742103] f_measure 0.7170571122618095 [0.697832,0.734209] f_measure 0.7252790290268124 [0.709385,0.739458] f_measure 0.7221209800240471 [0.702632,0.739501] f_measure 0.7235733982424336 [0.706137,0.739122] f_measure 0.7235972719773212 [0.706583,0.73877] f_measure 0.724918193282689 [0.707896,0.740098] f_measure 0.7071824509997104 [0.687568,0.724674] f_measure 0.7132907086828473 [0.695549,0.729112] f_measure 0.7268480682486335 [0.708165,0.743509] kappa 0.45183888669086414 kappa 0.43206853729005307 kappa 0.44884683922702123 kappa 0.4421765985703526 kappa 0.44526236390461577 kappa 0.44535330874522244 kappa 0.4479945833337943 kappa 0.4122625159688628 kappa 0.4246617626070805 kappa 0.45170280863140755 kb_relative_information_score 2804.8727394186194 kb_relative_information_score 2762.8489772516286 kb_relative_information_score 2775.0209244737857 kb_relative_information_score 2782.369871792156 kb_relative_information_score 2795.023659957569 kb_relative_information_score 2775.7316630724604 kb_relative_information_score 2821.866412511592 kb_relative_information_score 2649.5608930150406 kb_relative_information_score 2677.8172617559203 kb_relative_information_score 2815.2813969827534 mean_absolute_error 0.3696875743668199 mean_absolute_error 0.3711196668366528 mean_absolute_error 0.3711004589495183 mean_absolute_error 0.3706916539180708 mean_absolute_error 0.3701989631140607 mean_absolute_error 0.3710182729899753 mean_absolute_error 0.3686443991160955 mean_absolute_error 0.3763081761006326 mean_absolute_error 0.3752634710181947 mean_absolute_error 0.3692083120856736 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.4983707944371693 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 mean_prior_absolute_error 0.49836496543694453 number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4623,5182] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] number_of_instances 9805 [4622,5183] precision 0.7268140715807166 [0.711275,0.740677] precision 0.7170002646465351 [0.703118,0.729385] precision 0.7253245295044232 [0.707553,0.741179] precision 0.7220713740338369 [0.709372,0.733397] precision 0.7235436872073129 [0.707826,0.73756] precision 0.723585105362525 [0.707195,0.738201] precision 0.7249019560565664 [0.70874,0.739315] precision 0.7071222670390804 [0.691937,0.720664] precision 0.7132736783442554 [0.696378,0.72834] precision 0.7267964821826092 [0.713689,0.738485] predictive_accuracy 0.726874043855176 predictive_accuracy 0.7171851096379399 predictive_accuracy 0.7252422233554309 predictive_accuracy 0.7222845486996431 predictive_accuracy 0.7236104028556859 predictive_accuracy 0.7236104028556859 predictive_accuracy 0.7249362570117287 predictive_accuracy 0.7072921978582356 predictive_accuracy 0.7133095359510453 predictive_accuracy 0.72697603263641 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 prior_entropy 0.9976424301660018 recall 0.726874043855176 [0.708198,0.743535] recall 0.7171851096379398 [0.692624,0.739097] recall 0.7252422233554309 [0.711226,0.737746] recall 0.7222845486996431 [0.696019,0.745707] recall 0.7236104028556859 [0.704457,0.740691] recall 0.7236104028556859 [0.705971,0.73934] recall 0.7249362570117287 [0.707053,0.740884] recall 0.7072921978582356 [0.683254,0.728729] recall 0.7133095359510454 [0.694721,0.729886] recall 0.72697603263641 [0.702726,0.748601] relative_absolute_error 0.7417922127325365 relative_absolute_error 0.7446657608734347 relative_absolute_error 0.7446272195155765 relative_absolute_error 0.7438156363842002 relative_absolute_error 0.7428270219386037 relative_absolute_error 0.744471017670118 relative_absolute_error 0.7397076935231277 relative_absolute_error 0.7550855340938786 relative_absolute_error 0.75298926899723 relative_absolute_error 0.7408392196308743 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991867593509677 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_prior_squared_error 0.4991809208203937 root_mean_squared_error 0.42477641427551627 root_mean_squared_error 0.42695825710031016 root_mean_squared_error 0.4261325252991115 root_mean_squared_error 0.425941493818292 root_mean_squared_error 0.42462331056559766 root_mean_squared_error 0.42672534577120724 root_mean_squared_error 0.42511079303655114 root_mean_squared_error 0.4320920793933968 root_mean_squared_error 0.43181970310749496 root_mean_squared_error 0.4245135296486809 root_relative_squared_error 0.8509368614420018 root_relative_squared_error 0.8553076561073705 root_relative_squared_error 0.8536535020543419 root_relative_squared_error 0.8532807967064642 root_relative_squared_error 0.8506401043287829 root_relative_squared_error 0.8548510729734877 root_relative_squared_error 0.8516166690383322 root_relative_squared_error 0.8656021521881528 root_relative_squared_error 0.8650565057610937 root_relative_squared_error 0.8504201822277211 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 555310.1956829997 usercpu_time_millis 554067.9990010031 usercpu_time_millis 530980.3476779998 usercpu_time_millis 556958.2911390025 usercpu_time_millis 556208.3798810054 usercpu_time_millis 531431.8780030007 usercpu_time_millis 531764.6034330027 usercpu_time_millis 554168.2971679984 usercpu_time_millis 556423.6155320031 usercpu_time_millis 531454.4778199997 usercpu_time_millis_testing 550.8754830007092 usercpu_time_millis_testing 564.247983005771 usercpu_time_millis_testing 549.6860639977967 usercpu_time_millis_testing 568.9866169996094 usercpu_time_millis_testing 552.1910440002102 usercpu_time_millis_testing 563.6918160016648 usercpu_time_millis_testing 550.2662720027729 usercpu_time_millis_testing 575.580489996355 usercpu_time_millis_testing 552.0860670003458 usercpu_time_millis_testing 571.4350159978494 usercpu_time_millis_training 554759.3201999989 usercpu_time_millis_training 553503.7510179973 usercpu_time_millis_training 530430.661614002 usercpu_time_millis_training 556389.3045220029 usercpu_time_millis_training 555656.1888370052 usercpu_time_millis_training 530868.1861869991 usercpu_time_millis_training 531214.337161 usercpu_time_millis_training 553592.716678002 usercpu_time_millis_training 555871.5294650028 usercpu_time_millis_training 530883.0428040018