10437820 11497 Fares Gaaloul 2273 Supervised Classification predictive_accuracy 17488 sklearn.pipeline.Pipeline(imputer=sklearn.impute._base.SimpleImputer,estimator=xgboost.sklearn.XGBClassifier)(1) 8259290 add_indicator false 17407 copy true 17407 fill_value -1 17407 missing_values NaN 17407 strategy "constant" 17407 verbose 0 17407 memory null 17488 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}] 17488 verbose false 17488 base_score 0.5 17489 booster "gbtree" 17489 colsample_bylevel 1 17489 colsample_bynode 1 17489 colsample_bytree 1 17489 gamma 0 17489 learning_rate 0.1 17489 max_delta_step 0 17489 max_depth 3 17489 min_child_weight 1 17489 missing null 17489 n_estimators 100 17489 n_jobs 1 17489 nthread null 17489 objective "multi:softprob" 17489 random_state 42 17489 reg_alpha 0 17489 reg_lambda 1 17489 scale_pos_weight 1 17489 seed null 17489 silent null 17489 subsample 1 17489 verbosity 1 17489 openml-python Sklearn_0.21.2. 276 meta_batchincremental.arff https://www.openml.org/data/download/12454/meta_batchincremental.arff -1 21799993 description https://api.openml.org/data/download/21799993/description.xml -1 21799994 predictions https://api.openml.org/data/download/21799994/predictions.arff area_under_roc_curve 0.7125161962224066 [0.753233,0.463768,0.535211,0.735] average_cost 0 kappa 0.27046720960137144 kb_relative_information_score 0.20809240169710466 mean_absolute_error 0.18730000926959453 mean_prior_absolute_error 0.25190575190575204 weighted_recall 0.6891891891891891 [0.4375,0,0,0.88] number_of_instances 74 [16,5,3,50] predictive_accuracy 0.6891891891891891 prior_entropy 1.3131659342381143 relative_absolute_error 0.7435320863164366 root_mean_prior_squared_error 0.35042347692645887 root_mean_squared_error 0.35670246076401985 root_relative_squared_error 1.0179182738914456 total_cost 0 unweighted_recall 0.329375 [0.4375,0,0,0.88] area_under_roc_curve 0.494047619047619 [0.5,0.285714,0.0,0.533333] area_under_roc_curve 0.9434523809523809 [0.916667,0.714286,0.0,1] area_under_roc_curve 0.6369047619047619 [0.833333,0.428571,0.0,0.6] area_under_roc_curve 0.7172619047619048 [0.583333,0.571429,0.0,0.8] area_under_roc_curve 0.9 [0.9,0.0,0.0,0.9] area_under_roc_curve 1 [1,0.0,0.0,1] area_under_roc_curve 0.7857142857142857 [0.666667,0.0,0.833333,0.8] area_under_roc_curve 0.9047619047619048 [0.666667,0.0,0.666667,1] area_under_roc_curve 0.47619047619047616 [0.666667,0.0,0.166667,0.5] area_under_roc_curve 0.619047619047619 [1,0.333333,0.0,0.6] 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 1 [1,0.0,0.0,1] kappa -0.18518518518518517 kappa 0.4074074074074074 kappa 0.5151515151515151 kappa 0.1111111111111111 kappa 0 kappa 1 kappa 0.22222222222222218 kappa 0.4615384615384616 kappa 0 kappa -0.10526315789473696 kb_relative_information_score -0.06649776015732681 kb_relative_information_score 0.3814991847212991 kb_relative_information_score 0.1548481165093123 kb_relative_information_score 0.050979440134878776 kb_relative_information_score 0.3527176657020301 kb_relative_information_score 0.8005344097569358 kb_relative_information_score 0.22727837020624528 kb_relative_information_score 0.19152108619277616 kb_relative_information_score 0.09082087835261814 kb_relative_information_score 0.10465390431178545 mean_absolute_error 0.27889994897812503 mean_absolute_error 0.145995176059375 mean_absolute_error 0.22262059331875 mean_absolute_error 0.246419898846875 mean_absolute_error 0.13661186656785715 mean_absolute_error 0.061810503257142865 mean_absolute_error 0.16423517876785715 mean_absolute_error 0.18781179424285716 mean_absolute_error 0.20095183122857144 mean_absolute_error 0.20696678998214285 mean_prior_absolute_error 0.2636217948717949 mean_prior_absolute_error 0.2636217948717949 mean_prior_absolute_error 0.2636217948717949 mean_prior_absolute_error 0.2636217948717949 mean_prior_absolute_error 0.23534798534798534 mean_prior_absolute_error 0.23534798534798534 mean_prior_absolute_error 0.24725274725274726 mean_prior_absolute_error 0.24725274725274726 mean_prior_absolute_error 0.24725274725274726 mean_prior_absolute_error 0.24542124542124544 number_of_instances 8 [2,1,0,5] number_of_instances 8 [2,1,0,5] number_of_instances 8 [2,1,0,5] number_of_instances 8 [2,1,0,5] number_of_instances 7 [2,0,0,5] number_of_instances 7 [2,0,0,5] number_of_instances 7 [1,0,1,5] number_of_instances 7 [1,0,1,5] number_of_instances 7 [1,0,1,5] number_of_instances 7 [1,1,0,5] precision 1 [1,0.0,0.0,1] predictive_accuracy 0.5 predictive_accuracy 0.75 predictive_accuracy 0.75 predictive_accuracy 0.5 predictive_accuracy 0.7142857142857143 predictive_accuracy 1 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7142857142857143 predictive_accuracy 0.5714285714285715 prior_entropy 1.3951503572273343 prior_entropy 1.3951503572273343 prior_entropy 1.3951503572273343 prior_entropy 1.3951503572273343 prior_entropy 1.065823305668226 prior_entropy 1.065823305668226 prior_entropy 1.364032282989703 prior_entropy 1.364032282989703 prior_entropy 1.364032282989703 prior_entropy 1.2804662114581091 relative_absolute_error 1.0579548216556232 relative_absolute_error 0.5538054094896657 relative_absolute_error 0.8444696062668693 relative_absolute_error 0.934747822981459 relative_absolute_error 0.5804675419926071 relative_absolute_error 0.2626345118941635 relative_absolute_error 0.66424005635 relative_absolute_error 0.7595943678266666 relative_absolute_error 0.8127385174133334 relative_absolute_error 0.8433124427630596 root_mean_prior_squared_error 0.36675967082992034 root_mean_prior_squared_error 0.36675967082992034 root_mean_prior_squared_error 0.36675967082992034 root_mean_prior_squared_error 0.36675967082992034 root_mean_prior_squared_error 0.32594301131250236 root_mean_prior_squared_error 0.32594301131250236 root_mean_prior_squared_error 0.34372024748074403 root_mean_prior_squared_error 0.34372024748074403 root_mean_prior_squared_error 0.34372024748074403 root_mean_prior_squared_error 0.341045607942284 root_mean_squared_error 0.45822030351848186 root_mean_squared_error 0.30457656259964294 root_mean_squared_error 0.385307826480634 root_mean_squared_error 0.43359324023509893 root_mean_squared_error 0.3076725058868313 root_mean_squared_error 0.13025233532217098 root_mean_squared_error 0.3500352582260826 root_mean_squared_error 0.32269831868268345 root_mean_squared_error 0.3808545263591135 root_mean_squared_error 0.36224863023030257 root_relative_squared_error 1.2493748357926058 root_relative_squared_error 0.8304527101096839 root_relative_squared_error 1.050573051308346 root_relative_squared_error 1.1822271496043841 root_relative_squared_error 0.9439457058701777 root_relative_squared_error 0.3996168986648091 root_relative_squared_error 1.0183725305437306 root_relative_squared_error 0.9388400044741668 root_relative_squared_error 1.1080363439469765 root_relative_squared_error 1.0621706358159781 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 107.57589299998926 usercpu_time_millis 107.55240399998911 usercpu_time_millis 106.63766000001829 usercpu_time_millis 103.39833799997677 usercpu_time_millis 108.77627699997561 usercpu_time_millis 109.62969899998143 usercpu_time_millis 103.72745500004044 usercpu_time_millis 105.88590500000805 usercpu_time_millis 106.49069999999483 usercpu_time_millis 110.5904299999736 usercpu_time_millis_testing 0.7649460000038744 usercpu_time_millis_testing 0.7671019999975215 usercpu_time_millis_testing 0.7568660000174532 usercpu_time_millis_testing 0.7590579999998681 usercpu_time_millis_testing 0.7684019999771863 usercpu_time_millis_testing 0.7665260000067065 usercpu_time_millis_testing 0.7564710000167452 usercpu_time_millis_testing 0.7701440000005277 usercpu_time_millis_testing 0.77288900001804 usercpu_time_millis_testing 0.8989179999900898 usercpu_time_millis_training 106.81094699998539 usercpu_time_millis_training 106.78530199999159 usercpu_time_millis_training 105.88079400000083 usercpu_time_millis_training 102.6392799999769 usercpu_time_millis_training 108.00787499999842 usercpu_time_millis_training 108.86317299997472 usercpu_time_millis_training 102.97098400002369 usercpu_time_millis_training 105.11576100000752 usercpu_time_millis_training 105.71781099997679 usercpu_time_millis_training 109.6915119999835 wall_clock_time_millis 108.57319831848145 wall_clock_time_millis 108.25896263122559 wall_clock_time_millis 107.22041130065918 wall_clock_time_millis 103.7147045135498 wall_clock_time_millis 109.35425758361816 wall_clock_time_millis 110.27240753173828 wall_clock_time_millis 104.08616065979004 wall_clock_time_millis 106.63819313049316 wall_clock_time_millis 107.31267929077148 wall_clock_time_millis 111.09375953674316 wall_clock_time_millis_testing 0.7696151733398438 wall_clock_time_millis_testing 0.7708072662353516 wall_clock_time_millis_testing 0.7598400115966797 wall_clock_time_millis_testing 0.7624626159667969 wall_clock_time_millis_testing 0.7717609405517578 wall_clock_time_millis_testing 0.77056884765625 wall_clock_time_millis_testing 0.7600784301757812 wall_clock_time_millis_testing 0.774383544921875 wall_clock_time_millis_testing 0.7767677307128906 wall_clock_time_millis_testing 0.9729862213134766 wall_clock_time_millis_training 107.8035831451416 wall_clock_time_millis_training 107.48815536499023 wall_clock_time_millis_training 106.4605712890625 wall_clock_time_millis_training 102.95224189758301 wall_clock_time_millis_training 108.5824966430664 wall_clock_time_millis_training 109.50183868408203 wall_clock_time_millis_training 103.32608222961426 wall_clock_time_millis_training 105.86380958557129 wall_clock_time_millis_training 106.5359115600586 wall_clock_time_millis_training 110.12077331542969 weighted_recall 0.5 [0,0,0.0,0.8] weighted_recall 0.75 [0.5,0,0.0,1] weighted_recall 0.75 [1,0,0.0,0.8] weighted_recall 0.5 [0.5,0,0.0,0.6] weighted_recall 0.7142857142857143 [0,0.0,0.0,1] weighted_recall 1 [1,0.0,0.0,1] weighted_recall 0.7142857142857143 [0,0.0,0,1] weighted_recall 0.7142857142857143 [1,0.0,0,0.8] weighted_recall 0.7142857142857143 [0,0.0,0,1] weighted_recall 0.5714285714285714 [0,0,0.0,0.8]