6029184 1 Jan van Rijn 3950 Supervised Classification predictive_accuracy 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) 4063868 bootstrap false 6902 class_weight null 6902 criterion "gini" 6902 max_depth null 6902 max_features 0.7420239137941416 6902 max_leaf_nodes null 6902 min_impurity_split 1e-07 6902 min_samples_leaf 18 6902 min_samples_split 19 6902 min_weight_fraction_leaf 0.0 6902 n_estimators 100 6902 n_jobs 1 6902 oob_score false 6902 random_state 19661 6902 verbose 0 6902 warm_start false 6902 axis 0 6947 categorical_features [0] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "mean" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0] 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. 1116 musk https://www.openml.org/data/download/53999/musk.arff -1 12981461 description https://api.openml.org/data/download/12981461/description.xml -1 12981462 predictions https://api.openml.org/data/download/12981462/predictions.arff area_under_roc_curve 0.9969088477428246 [0.996909,0.996909] average_cost 0 f_measure 0.9829769362319232 [0.990106,0.943854] kappa 0.9339700670939809 kb_relative_information_score 5617.298398118607 mean_absolute_error 0.03734732272314202 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.9830624601876626 [0.985101,0.971875] predictive_accuracy 0.9831767202182479 prior_entropy 0.6203559250859288 recall 0.983176720218248 [0.995162,0.917404] relative_absolute_error 0.14318594750013156 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.11945441842794394 root_relative_squared_error 0.33082477320066567 total_cost 0 area_under_roc_curve 0.9972723569315787 [0.997272,0.997272] area_under_roc_curve 0.9939208658373744 [0.993921,0.993921] area_under_roc_curve 0.997768641506782 [0.997769,0.997769] area_under_roc_curve 0.9969252934148569 [0.996925,0.996925] area_under_roc_curve 0.9982781643123199 [0.998278,0.998278] area_under_roc_curve 0.9932532152646004 [0.993253,0.993253] area_under_roc_curve 0.9958008292922903 [0.995801,0.995801] area_under_roc_curve 0.9977159322510367 [0.997716,0.997716] area_under_roc_curve 0.9988289151495795 [0.998829,0.998829] area_under_roc_curve 0.9984030661130631 [0.998403,0.998403] 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 0.9755559156628677 [0.98574,0.919192] f_measure 0.978335367000654 [0.987567,0.927835] f_measure 0.9892385622432497 [0.993767,0.964467] f_measure 0.9830891692393924 [0.990205,0.944162] f_measure 0.9877792207792205 [0.992857,0.96] f_measure 0.9768391608391608 [0.986667,0.923077] f_measure 0.9755584415584415 [0.985714,0.92] f_measure 0.9878296237494948 [0.992844,0.960396] f_measure 0.9892202967179625 [0.993767,0.964103] f_measure 0.9862583082658325 [0.991957,0.954774] kappa 0.9049385161046395 kappa 0.9154403689874807 kappa 0.9582429501084598 kappa 0.9343817787418653 kappa 0.9528605099635742 kappa 0.9097769028871392 kappa 0.9057210199271479 kappa 0.9532412327311373 kappa 0.9578786855008812 kappa 0.9467331267681531 kb_relative_information_score 557.9087182967818 kb_relative_information_score 545.8383732818803 kb_relative_information_score 566.3190441989015 kb_relative_information_score 575.2102748278301 kb_relative_information_score 568.4799354437691 kb_relative_information_score 535.2318140233942 kb_relative_information_score 539.9472010168962 kb_relative_information_score 582.9052101748853 kb_relative_information_score 572.0161212252873 kb_relative_information_score 573.4417056291776 mean_absolute_error 0.03836070608984162 mean_absolute_error 0.04389644641218213 mean_absolute_error 0.03598005244318874 mean_absolute_error 0.03277458900935491 mean_absolute_error 0.03571211487590582 mean_absolute_error 0.048255164716226304 mean_absolute_error 0.04349723368411268 mean_absolute_error 0.02967998811891368 mean_absolute_error 0.03379708837616775 mean_absolute_error 0.03150561328767314 mean_prior_absolute_error 0.2600651974288342 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.2602257782682673 mean_prior_absolute_error 0.2602257782682673 number_of_instances 660 [559,101] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 659 [558,101] number_of_instances 659 [558,101] precision 0.9754903413287256 [0.982238,0.938144] precision 0.9787786004564938 [0.978873,0.978261] precision 0.9895253419147225 [0.987611,1] precision 0.9832789939450396 [0.984071,0.978947] precision 0.9878198060201111 [0.989324,0.979592] precision 0.9771214448633804 [0.978836,0.967742] precision 0.9754943582091524 [0.982206,0.938776] precision 0.9878149350649351 [0.991071,0.97] precision 0.9895094471376583 [0.987611,1] precision 0.9862522743957564 [0.989305,0.969388] predictive_accuracy 0.9757575757575758 predictive_accuracy 0.9787878787878788 predictive_accuracy 0.9893939393939394 predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9878787878787878 predictive_accuracy 0.9772727272727273 predictive_accuracy 0.9757575757575758 predictive_accuracy 0.9878787878787878 predictive_accuracy 0.9893778452200302 predictive_accuracy 0.9863429438543246 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 recall 0.9757575757575757 [0.989267,0.90099] recall 0.9787878787878788 [0.996416,0.882353] recall 0.9893939393939394 [1,0.931373] recall 0.9833333333333333 [0.996416,0.911765] recall 0.9878787878787879 [0.996416,0.941176] recall 0.9772727272727273 [0.994624,0.882353] recall 0.9757575757575757 [0.989247,0.901961] recall 0.9878787878787879 [0.994624,0.95098] recall 0.9893778452200304 [1,0.930693] recall 0.9863429438543247 [0.994624,0.940594] relative_absolute_error 0.14750418921524042 relative_absolute_error 0.16811286765300137 relative_absolute_error 0.13779497633437596 relative_absolute_error 0.12551881974168438 relative_absolute_error 0.13676883967709522 relative_absolute_error 0.1848057139600578 relative_absolute_error 0.16658397859694543 relative_absolute_error 0.11366724011611293 relative_absolute_error 0.12987601997418666 relative_absolute_error 0.12107030094149217 root_mean_prior_squared_error 0.360018747598774 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.3602416958959955 root_mean_prior_squared_error 0.3602416958959955 root_mean_squared_error 0.12521002456141928 root_mean_squared_error 0.13538702875077488 root_mean_squared_error 0.11524815337862039 root_mean_squared_error 0.11505510473029207 root_mean_squared_error 0.11319441550629161 root_mean_squared_error 0.13666679972771717 root_mean_squared_error 0.13252951465813198 root_mean_squared_error 0.10487071034957744 root_mean_squared_error 0.1054010864294752 root_mean_squared_error 0.10485562735131357 root_relative_squared_error 0.3477875121685626 root_relative_squared_error 0.3745446989604587 root_relative_squared_error 0.3188310232615035 root_relative_squared_error 0.31829695918948697 root_relative_squared_error 0.31314941077445296 root_relative_squared_error 0.37808515213178545 root_relative_squared_error 0.36663946043443724 root_relative_squared_error 0.2901220966297861 root_relative_squared_error 0.29258436108380215 root_relative_squared_error 0.2910702135423718 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 59066.36028499997 usercpu_time_millis 59003.10768899726 usercpu_time_millis 57855.46004199932 usercpu_time_millis 55729.69780300264 usercpu_time_millis 58037.12925900254 usercpu_time_millis 58040.595417001896 usercpu_time_millis 58148.61345200188 usercpu_time_millis 57300.36005299917 usercpu_time_millis 59111.295866001456 usercpu_time_millis 58755.566843999986 usercpu_time_millis_testing 87.73080799801392 usercpu_time_millis_testing 88.13799799827393 usercpu_time_millis_testing 87.37553399987519 usercpu_time_millis_testing 87.3272460012231 usercpu_time_millis_testing 90.58214900142048 usercpu_time_millis_testing 88.0084070013254 usercpu_time_millis_testing 93.35133700005827 usercpu_time_millis_testing 87.2604180003691 usercpu_time_millis_testing 87.73711300091236 usercpu_time_millis_testing 87.80291299990495 usercpu_time_millis_training 58978.62947700196 usercpu_time_millis_training 58914.96969099899 usercpu_time_millis_training 57768.08450799945 usercpu_time_millis_training 55642.37055700141 usercpu_time_millis_training 57946.54711000112 usercpu_time_millis_training 57952.58701000057 usercpu_time_millis_training 58055.262115001824 usercpu_time_millis_training 57213.0996349988 usercpu_time_millis_training 59023.55875300054 usercpu_time_millis_training 58667.76393100008