10437844 11497 Fares Gaaloul 3018 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. 285 flags https://www.openml.org/data/download/49810/flags.arff -1 21800041 description https://api.openml.org/data/download/21800041/description.xml -1 21800042 predictions https://api.openml.org/data/download/21800042/predictions.arff area_under_roc_curve 0.9153091115524868 [0.95763,0.918657,0.924226,0.832661,0.656579,0.947217,0.872998,0.728947] average_cost 0 kappa 0.6292620779830356 kb_relative_information_score 0.5638412656261351 mean_absolute_error 0.09637345198045752 mean_prior_absolute_error 0.20062263958354576 weighted_recall 0.7061855670103093 [0.775,0.833333,0.722222,0.125,0,0.777778,0.533333,0] number_of_instances 194 [40,60,36,8,4,27,15,4] predictive_accuracy 0.7061855670103092 prior_entropy 2.5477988576624586 relative_absolute_error 0.48037176751592137 root_mean_prior_squared_error 0.3161524350052739 root_mean_squared_error 0.22949526618312976 root_relative_squared_error 0.725900675663945 total_cost 0 unweighted_recall 0.4708333333333333 [0.775,0.833333,0.722222,0.125,0,0.777778,0.533333,0] area_under_roc_curve 0.9363956766917294 [1,0.904762,0.890625,0.894737,0.842105,1,1,0.0] area_under_roc_curve 0.8839202786377708 [0.84375,0.833333,1,0.842105,0.684211,0.960784,0.894737,0.0] area_under_roc_curve 0.9201044891640866 [1,1,0.90625,0.842105,0.052632,0.960784,1,0.0] area_under_roc_curve 0.9082941729323307 [0.984375,0.857143,0.96875,0.368421,0.947368,1,1,0.894737] area_under_roc_curve 0.885144611150803 [0.916667,0.910256,1,1,0.0,0.705882,0.833333,0.444444] area_under_roc_curve 0.9424836601307189 [0.983333,1,0.916667,0.0,0.0,0.941176,0.823529,0.777778] area_under_roc_curve 0.9524589187901881 [1,0.948718,0.958333,0.0,0.0,1,0.764706,1] area_under_roc_curve 0.9110598422904925 [0.966667,0.858974,0.9375,0.888889,0.0,1,0.794118,0.0] area_under_roc_curve 0.9217859410970867 [0.983333,0.846154,0.875,1,0.0,0.979167,0.970588,0.0] area_under_roc_curve 0.9794501336297002 [0.983333,0.974359,1,0.888889,0.0,1,0.970588,0.0] 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 average_cost 0 f_measure 0.732999164578112 [0.888889,0.8,0.666667,0,0.0,0.857143,0.5,0.0] kappa 0.6865203761755486 kappa 0.5638629283489097 kappa 0.6794871794871795 kappa 0.6238244514106582 kappa 0.594306049822064 kappa 0.5913978494623656 kappa 0.6055363321799309 kappa 0.6735395189003436 kappa 0.5928571428571429 kappa 0.6724137931034482 kb_relative_information_score 0.5902138765180983 kb_relative_information_score 0.46083920557280705 kb_relative_information_score 0.5820517409447798 kb_relative_information_score 0.5538947314768312 kb_relative_information_score 0.5507127520922637 kb_relative_information_score 0.5390094180160525 kb_relative_information_score 0.596630706507748 kb_relative_information_score 0.5471969239216172 kb_relative_information_score 0.619692118092329 kb_relative_information_score 0.6046629592895756 mean_absolute_error 0.08627367750825002 mean_absolute_error 0.11941899073187504 mean_absolute_error 0.0869066741984375 mean_absolute_error 0.09199821815075002 mean_absolute_error 0.09890428818473684 mean_absolute_error 0.08698193329217105 mean_absolute_error 0.08821893609710527 mean_absolute_error 0.10844200830092103 mean_absolute_error 0.10317526354296054 mean_absolute_error 0.09346170070960529 mean_prior_absolute_error 0.200990099009901 mean_prior_absolute_error 0.200990099009901 mean_prior_absolute_error 0.200990099009901 mean_prior_absolute_error 0.2024133663366337 mean_prior_absolute_error 0.20023449713392394 mean_prior_absolute_error 0.19977853048462743 mean_prior_absolute_error 0.20036477331943722 mean_prior_absolute_error 0.20010422094841065 mean_prior_absolute_error 0.20010422094841065 mean_prior_absolute_error 0.20010422094841065 number_of_instances 20 [4,6,4,1,1,3,1,0] number_of_instances 20 [4,6,4,1,1,3,1,0] number_of_instances 20 [4,6,4,1,1,3,1,0] number_of_instances 20 [4,6,4,1,1,2,1,1] number_of_instances 19 [4,6,4,1,0,2,1,1] number_of_instances 19 [4,6,4,0,0,2,2,1] number_of_instances 19 [4,6,3,0,0,3,2,1] number_of_instances 19 [4,6,3,1,0,3,2,0] number_of_instances 19 [4,6,3,1,0,3,2,0] number_of_instances 19 [4,6,3,1,0,3,2,0] precision 0.7605263157894736 [0.8,1,0.666667,0,0.0,0.75,0.5,0.0] predictive_accuracy 0.75 predictive_accuracy 0.65 predictive_accuracy 0.75 predictive_accuracy 0.7 predictive_accuracy 0.6842105263157895 predictive_accuracy 0.6842105263157895 predictive_accuracy 0.6842105263157895 predictive_accuracy 0.736842105263158 predictive_accuracy 0.6842105263157895 predictive_accuracy 0.736842105263158 prior_entropy 2.5698933143083975 prior_entropy 2.5698933143083975 prior_entropy 2.5698933143083975 prior_entropy 2.6941646556669094 prior_entropy 2.5551057750249346 prior_entropy 2.5114176172061087 prior_entropy 2.532580693183548 prior_entropy 2.487949277049077 prior_entropy 2.487949277049077 prior_entropy 2.487949277049077 relative_absolute_error 0.4292434201149385 relative_absolute_error 0.5941535992078512 relative_absolute_error 0.43239281251439343 relative_absolute_error 0.4545066356820911 relative_absolute_error 0.4939423006545477 relative_absolute_error 0.43539179651170845 relative_absolute_error 0.4402916472570741 relative_absolute_error 0.5419276404413214 relative_absolute_error 0.5156076321326596 relative_absolute_error 0.4670651137024284 root_mean_prior_squared_error 0.3167330446703012 root_mean_prior_squared_error 0.3167330446703012 root_mean_prior_squared_error 0.3167330446703012 root_mean_prior_squared_error 0.31897192496025684 root_mean_prior_squared_error 0.31553798457577487 root_mean_prior_squared_error 0.3148146328569329 root_mean_prior_squared_error 0.3157443521199631 root_mean_prior_squared_error 0.3153314819751251 root_mean_prior_squared_error 0.3153314819751251 root_mean_prior_squared_error 0.3153314819751251 root_mean_squared_error 0.2199694376931494 root_mean_squared_error 0.24891051081645255 root_mean_squared_error 0.20851485931765232 root_mean_squared_error 0.23620182013408858 root_mean_squared_error 0.23950108543524892 root_mean_squared_error 0.24189931389717922 root_mean_squared_error 0.22173438719145713 root_mean_squared_error 0.24270652963836156 root_mean_squared_error 0.22195103843014322 root_mean_squared_error 0.20955401908923804 root_relative_squared_error 0.6944947532144096 root_relative_squared_error 0.7858684624319904 root_relative_squared_error 0.6583299811192826 root_relative_squared_error 0.7405097491370715 root_relative_squared_error 0.7590245775235149 root_relative_squared_error 0.7683865000236824 root_relative_squared_error 0.7022592350510578 root_relative_squared_error 0.7696869596341397 root_relative_squared_error 0.7038657765470172 root_relative_squared_error 0.6645515309054004 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 unweighted_recall 0.5520833333333333 [0.75,0.666667,1,0,0,1,1,0] usercpu_time_millis 171.7587039997852 usercpu_time_millis 170.76462099998935 usercpu_time_millis 167.18262299991693 usercpu_time_millis 171.2406850001571 usercpu_time_millis 167.4112220000552 usercpu_time_millis 171.37650299991947 usercpu_time_millis 170.22444299982453 usercpu_time_millis 181.77323400004752 usercpu_time_millis 172.84795699993083 usercpu_time_millis 172.00828800014278 usercpu_time_millis_testing 1.2961879999693338 usercpu_time_millis_testing 1.3050919999386679 usercpu_time_millis_testing 1.339647999884619 usercpu_time_millis_testing 1.3322970000899659 usercpu_time_millis_testing 1.247113000090394 usercpu_time_millis_testing 1.2828139999783161 usercpu_time_millis_testing 1.277025000035792 usercpu_time_millis_testing 1.2961039999481727 usercpu_time_millis_testing 1.2941029999637976 usercpu_time_millis_testing 1.2980139999854146 usercpu_time_millis_training 170.46251599981588 usercpu_time_millis_training 169.45952900005068 usercpu_time_millis_training 165.8429750000323 usercpu_time_millis_training 169.90838800006713 usercpu_time_millis_training 166.1641089999648 usercpu_time_millis_training 170.09368899994115 usercpu_time_millis_training 168.94741799978874 usercpu_time_millis_training 180.47713000009935 usercpu_time_millis_training 171.55385399996703 usercpu_time_millis_training 170.71027400015737 wall_clock_time_millis 174.76177215576172 wall_clock_time_millis 173.48933219909668 wall_clock_time_millis 169.0840721130371 wall_clock_time_millis 173.84767532348633 wall_clock_time_millis 169.77334022521973 wall_clock_time_millis 173.22444915771484 wall_clock_time_millis 172.0907688140869 wall_clock_time_millis 183.70580673217773 wall_clock_time_millis 175.52757263183594 wall_clock_time_millis 173.506498336792 wall_clock_time_millis_testing 1.300811767578125 wall_clock_time_millis_testing 1.3096332550048828 wall_clock_time_millis_testing 1.344442367553711 wall_clock_time_millis_testing 1.336812973022461 wall_clock_time_millis_testing 1.251220703125 wall_clock_time_millis_testing 1.2869834899902344 wall_clock_time_millis_testing 1.2807846069335938 wall_clock_time_millis_testing 1.3010501861572266 wall_clock_time_millis_testing 1.298666000366211 wall_clock_time_millis_testing 1.302480697631836 wall_clock_time_millis_training 173.4609603881836 wall_clock_time_millis_training 172.1796989440918 wall_clock_time_millis_training 167.7396297454834 wall_clock_time_millis_training 172.51086235046387 wall_clock_time_millis_training 168.52211952209473 wall_clock_time_millis_training 171.9374656677246 wall_clock_time_millis_training 170.80998420715332 wall_clock_time_millis_training 182.4047565460205 wall_clock_time_millis_training 174.22890663146973 wall_clock_time_millis_training 172.20401763916016 weighted_recall 0.75 [1,0.833333,0.5,0,0,1,1,0.0] weighted_recall 0.65 [0.5,0.666667,1,0,0,0.666667,1,0.0] weighted_recall 0.75 [0.75,1,0.75,0,0,0.666667,1,0.0] weighted_recall 0.7 [0.75,0.666667,1,0,0,1,1,0] weighted_recall 0.6842105263157895 [0.5,0.833333,1,1,0.0,0.5,0,0] weighted_recall 0.6842105263157895 [1,1,0.5,0.0,0.0,0.5,0,0] weighted_recall 0.6842105263157895 [1,0.833333,0.333333,0.0,0.0,1,0,0] weighted_recall 0.7368421052631579 [1,0.666667,0.666667,0,0.0,1,0.5,0.0] weighted_recall 0.6842105263157895 [0.75,0.833333,0.333333,0,0.0,1,0.5,0.0] weighted_recall 0.7368421052631579 [0.5,1,1,0,0.0,0.333333,1,0.0]