10435723 10963 Nelly Palacios 3512 Supervised Classification 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. 377 synthetic_control https://www.openml.org/data/download/52417/synthetic_control.arff -1 21794350 description https://api.openml.org/data/download/21794350/description.xml -1 21794351 predictions https://api.openml.org/data/download/21794351/predictions.arff area_under_roc_curve 0.9989133333333332 [0.99998,0.99806,0.99746,0.99904,1,0.99894] average_cost 0 f_measure 0.9733286314260325 [0.994975,0.969697,0.954774,0.974619,0.97561,0.970297] kappa 0.9680000000000001 kb_relative_information_score 0.951988470521084 mean_absolute_error 0.020266545179144443 mean_prior_absolute_error 0.2777777777777742 weighted_recall 0.9733333333333334 [0.99,0.96,0.95,0.96,1,0.98] number_of_instances 600 [100,100,100,100,100,100] precision 0.9736739640144301 [1,0.979592,0.959596,0.989691,0.952381,0.960784] predictive_accuracy 0.9733333333333333 prior_entropy 2.584962500721137 relative_absolute_error 0.07295956264492094 root_mean_prior_squared_error 0.37267799624996256 root_mean_squared_error 0.08867846310215076 root_relative_squared_error 0.2379492859639407 total_cost 0 unweighted_recall 0.9733333333333333 [0.99,0.96,0.95,0.96,1,0.98] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.9966666666666666 [1,0.992,0.988,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.9946666666666667 [1,1,0.986,0.99,1,0.992] area_under_roc_curve 0.9993333333333335 [0.998,1,1,1,1,0.998] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.9993333333333333 [1,0.998,0.998,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1] area_under_roc_curve 0.9969999999999999 [1,0.99,0.994,1,1,0.998] 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 0.9832915622389307 [1,1,1,1,0.952381,0.947368] f_measure 0.9324143692564746 [1,0.842105,0.8,1,0.952381,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.9164274322169059 [1,0.947368,0.842105,0.9,0.909091,0.9] f_measure 0.9496215285688969 [0.947368,1,1,0.888889,0.952381,0.909091] f_measure 1 [1,1,1,1,1,1] f_measure 0.9832915622389307 [1,0.952381,0.947368,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 1 [1,1,1,1,1,1] f_measure 0.9665831244778613 [1,0.947368,0.952381,0.947368,1,0.952381] kappa 0.98 kappa 0.92 kappa 1 kappa 0.8999999999999999 kappa 0.94 kappa 1 kappa 0.98 kappa 1 kappa 1 kappa 0.96 kb_relative_information_score 0.9575751283899572 kb_relative_information_score 0.9337333842852804 kb_relative_information_score 0.9814555521502188 kb_relative_information_score 0.8935643532803479 kb_relative_information_score 0.9311162340380406 kb_relative_information_score 0.9771045639616357 kb_relative_information_score 0.9618219812560284 kb_relative_information_score 0.9803507293153629 kb_relative_information_score 0.9629895628521425 kb_relative_information_score 0.9401732156817375 mean_absolute_error 0.01885703901302778 mean_absolute_error 0.024824556182555555 mean_absolute_error 0.010180002747416669 mean_absolute_error 0.039580407709166675 mean_absolute_error 0.026621264718583337 mean_absolute_error 0.011932383566916671 mean_absolute_error 0.015963569484000004 mean_absolute_error 0.010477694907805556 mean_absolute_error 0.019187289153916664 mean_absolute_error 0.025041244308055557 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 mean_prior_absolute_error 0.2777777777777782 number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] number_of_instances 60 [10,10,10,10,10,10] precision 0.9848484848484849 [1,1,1,1,0.909091,1] precision 0.9329966329966329 [1,0.888889,0.8,1,0.909091,1] precision 1 [1,1,1,1,1,1] precision 0.9203703703703704 [1,1,0.888889,0.9,0.833333,0.9] precision 0.9570707070707072 [1,1,1,1,0.909091,0.833333] precision 1 [1,1,1,1,1,1] precision 0.9848484848484849 [1,0.909091,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 1 [1,1,1,1,1,1] precision 0.9696969696969698 [1,1,0.909091,1,1,0.909091] predictive_accuracy 0.9833333333333333 predictive_accuracy 0.9333333333333332 predictive_accuracy 1 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.95 predictive_accuracy 1 predictive_accuracy 0.9833333333333333 predictive_accuracy 1 predictive_accuracy 1 predictive_accuracy 0.9666666666666667 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 prior_entropy 2.5849625007211587 relative_absolute_error 0.06788534044689991 relative_absolute_error 0.08936840225719987 relative_absolute_error 0.03664800989069996 relative_absolute_error 0.14248946775299984 relative_absolute_error 0.09583655298689987 relative_absolute_error 0.042956580840899955 relative_absolute_error 0.05746885014239993 relative_absolute_error 0.037719701668099945 relative_absolute_error 0.06907424095409989 relative_absolute_error 0.09014847950899987 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_prior_squared_error 0.3726779962499652 root_mean_squared_error 0.07819229755849366 root_mean_squared_error 0.11506086422920513 root_mean_squared_error 0.036140405433904066 root_mean_squared_error 0.1475922360036393 root_mean_squared_error 0.10725875915339375 root_mean_squared_error 0.05002292756353358 root_mean_squared_error 0.07918756149414549 root_mean_squared_error 0.042369473481705146 root_mean_squared_error 0.06126758724357864 root_mean_squared_error 0.10183206347294962 root_relative_squared_error 0.20981195118921903 root_relative_squared_error 0.3087406967596517 root_relative_squared_error 0.09697488394153465 root_relative_squared_error 0.39603152718639495 root_relative_squared_error 0.2878054519791192 root_relative_squared_error 0.13422559975873072 root_relative_squared_error 0.2124825245680248 root_relative_squared_error 0.11368922745116078 root_relative_squared_error 0.16439818787284885 root_relative_squared_error 0.2732440994575062 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 0.9833333333333334 [1,1,1,1,1,0.9] unweighted_recall 0.9333333333333332 [1,0.8,0.8,1,1,1] unweighted_recall 1 [1,1,1,1,1,1] unweighted_recall 0.9166666666666666 [1,0.9,0.8,0.9,1,0.9] unweighted_recall 0.9500000000000001 [0.9,1,1,0.8,1,1] unweighted_recall 1 [1,1,1,1,1,1] unweighted_recall 0.9833333333333334 [1,1,0.9,1,1,1] unweighted_recall 1 [1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1] unweighted_recall 0.9666666666666667 [1,0.9,1,0.9,1,1] usercpu_time_millis 696.3649650006118 usercpu_time_millis 700.2436330003547 usercpu_time_millis 698.7749210002221 usercpu_time_millis 685.3104530000564 usercpu_time_millis 690.4240789999676 usercpu_time_millis 697.1437370011699 usercpu_time_millis 696.1113169991222 usercpu_time_millis 691.8841950000569 usercpu_time_millis 696.4873799997804 usercpu_time_millis 693.095939000159 usercpu_time_millis_testing 1.49188400064304 usercpu_time_millis_testing 1.353712000309315 usercpu_time_millis_testing 1.3869770000383141 usercpu_time_millis_testing 1.4041479998923023 usercpu_time_millis_testing 1.4282069996625069 usercpu_time_millis_testing 1.4051960006327135 usercpu_time_millis_testing 1.3636759995279135 usercpu_time_millis_testing 1.375210000333027 usercpu_time_millis_testing 1.3536440001189476 usercpu_time_millis_testing 1.4193699998941156 usercpu_time_millis_training 694.8730809999688 usercpu_time_millis_training 698.8899210000454 usercpu_time_millis_training 697.3879440001838 usercpu_time_millis_training 683.9063050001641 usercpu_time_millis_training 688.9958720003051 usercpu_time_millis_training 695.7385410005372 usercpu_time_millis_training 694.7476409995943 usercpu_time_millis_training 690.5089849997239 usercpu_time_millis_training 695.1337359996614 usercpu_time_millis_training 691.6765690002649 wall_clock_time_millis 697.4101066589355 wall_clock_time_millis 701.0025978088379 wall_clock_time_millis 699.3296146392822 wall_clock_time_millis 685.3654384613037 wall_clock_time_millis 690.8903121948242 wall_clock_time_millis 697.5307464599609 wall_clock_time_millis 696.1324214935303 wall_clock_time_millis 691.8916702270508 wall_clock_time_millis 696.5000629425049 wall_clock_time_millis 693.1085586547852 wall_clock_time_millis_testing 1.495361328125 wall_clock_time_millis_testing 1.3554096221923828 wall_clock_time_millis_testing 1.3895034790039062 wall_clock_time_millis_testing 1.4064311981201172 wall_clock_time_millis_testing 1.4309883117675781 wall_clock_time_millis_testing 1.4073848724365234 wall_clock_time_millis_testing 1.36566162109375 wall_clock_time_millis_testing 1.3775825500488281 wall_clock_time_millis_testing 1.3561248779296875 wall_clock_time_millis_testing 1.4221668243408203 wall_clock_time_millis_training 695.9147453308105 wall_clock_time_millis_training 699.6471881866455 wall_clock_time_millis_training 697.9401111602783 wall_clock_time_millis_training 683.9590072631836 wall_clock_time_millis_training 689.4593238830566 wall_clock_time_millis_training 696.1233615875244 wall_clock_time_millis_training 694.7667598724365 wall_clock_time_millis_training 690.514087677002 wall_clock_time_millis_training 695.1439380645752 wall_clock_time_millis_training 691.6863918304443 weighted_recall 0.9833333333333333 [1,1,1,1,1,0.9] weighted_recall 0.9333333333333333 [1,0.8,0.8,1,1,1] weighted_recall 1 [1,1,1,1,1,1] weighted_recall 0.9166666666666666 [1,0.9,0.8,0.9,1,0.9] weighted_recall 0.95 [0.9,1,1,0.8,1,1] weighted_recall 1 [1,1,1,1,1,1] weighted_recall 0.9833333333333333 [1,1,0.9,1,1,1] weighted_recall 1 [1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1] weighted_recall 0.9666666666666667 [1,0.9,1,0.9,1,1]