10455021 12269 Marc Zöller 3735 Supervised Classification predictive_accuracy 17746 sklearn.pipeline.Pipeline(step_0=sklearn.decomposition._truncated_svd.TruncatedSVD,step_1=sklearn.ensemble._weight_boosting.AdaBoostClassifier)(1) 8266844 algorithm "SAMME" 17696 base_estimator null 17696 learning_rate 0.0005166756459026211 17696 n_estimators 361 17696 random_state 42 17696 algorithm "randomized" 17732 n_components 1 17732 n_iter 69 17732 random_state 42 17732 tol 0.0 17732 memory null 17746 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "step_0", "step_name": "step_0"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "step_1", "step_name": "step_1"}}] 17746 verbose false 17746 automl_meta_features openml-python Sklearn_0.22.1. 871 pollen https://www.openml.org/data/download/53405/pollen.arff -1 21834661 description https://api.openml.org/data/download/21834661/description.xml -1 21834662 predictions https://api.openml.org/data/download/21834662/predictions.arff area_under_roc_curve 0.4990663940767891 [0.499041,0.499092] average_cost 0 f_measure 0.33596786354827163 [0.006195,0.665741] kappa -0.0005197505197505059 kb_relative_information_score -0.0002848539069214755 mean_absolute_error 0.5001200928163304 mean_prior_absolute_error 0.5 weighted_recall 0.49974012474012475 [0.003119,0.996362] number_of_instances 3848 [1924,1924] precision 0.4807040417209909 [0.461538,0.49987] predictive_accuracy 0.49974012474012475 prior_entropy 1 relative_absolute_error 1.0002401856326608 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5509157463486057 root_relative_squared_error 1.1018314926972115 total_cost 0 unweighted_recall 0.49974012474012475 [0.003119,0.996362] area_under_roc_curve 0.49740932642487046 [0.497409,0.497409] area_under_roc_curve 0.5026041666666666 [0.502604,0.502604] area_under_roc_curve 0.49744980569948183 [0.49745,0.49745] area_under_roc_curve 0.5026041666666666 [0.502604,0.502604] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.49739583333333326 [0.497396,0.497396] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5] 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 0.333619932926692 [0,0.665511] f_measure 0.3405254258497315 [0.010363,0.668977] f_measure 0.3468942044587347 [0.030151,0.661996] f_measure 0.3405254258497315 [0.010363,0.668977] f_measure 0.3307359307359307 [0,0.663194] f_measure 0.3379072524156759 [0.010309,0.665505] kappa -0.00519473491971167 kappa 0.005221790830751556 kappa -0.005113152163620787 kappa 0.005221790830751556 kappa 0 kappa 0 kappa -0.005194875107665835 kappa 0 kappa 0 kappa 0 kb_relative_information_score -0.0014235296543297215 kb_relative_information_score 0.0042705889629892566 kb_relative_information_score -0.001423529654329719 kb_relative_information_score 0.0042705889629892566 kb_relative_information_score -0.0014235296543297215 kb_relative_information_score -0.0014235296543297215 kb_relative_information_score -0.0042705889629892435 kb_relative_information_score -0.0014235296543297525 kb_relative_information_score -6.938893903907228e-18 kb_relative_information_score 2.3129646346357432e-17 mean_absolute_error 0.5006001521522857 mean_absolute_error 0.4981995435431428 mean_absolute_error 0.5006001521522857 mean_absolute_error 0.4981995435431428 mean_absolute_error 0.5006001521522857 mean_absolute_error 0.5006001521522857 mean_absolute_error 0.5018004564568572 mean_absolute_error 0.5006001521522857 mean_absolute_error 0.5 mean_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 mean_prior_absolute_error 0.5 number_of_instances 385 [192,193] number_of_instances 385 [192,193] number_of_instances 385 [192,193] number_of_instances 385 [192,193] number_of_instances 385 [193,192] number_of_instances 385 [193,192] number_of_instances 385 [193,192] number_of_instances 385 [193,192] number_of_instances 384 [192,192] number_of_instances 384 [192,192] precision 0.2506493506493506 [0,0.5] precision 0.7506561147186146 [1,0.502604] precision 0.4643784786641929 [0.428571,0.5] precision 0.7506561147186146 [1,0.502604] precision 0.24805194805194805 [0,0.497396] precision 0.5 [0.5,0.5] predictive_accuracy 0.4987012987012987 predictive_accuracy 0.5038961038961038 predictive_accuracy 0.4987012987012987 predictive_accuracy 0.5038961038961038 predictive_accuracy 0.4987012987012987 predictive_accuracy 0.4987012987012987 predictive_accuracy 0.4961038961038961 predictive_accuracy 0.4987012987012987 predictive_accuracy 0.5 predictive_accuracy 0.5 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 prior_entropy 1 relative_absolute_error 1.0012003043045714 relative_absolute_error 0.9963990870862856 relative_absolute_error 1.0012003043045714 relative_absolute_error 0.9963990870862856 relative_absolute_error 1.0012003043045714 relative_absolute_error 1.0012003043045714 relative_absolute_error 1.0036009129137144 relative_absolute_error 1.0012003043045714 relative_absolute_error 1 relative_absolute_error 1 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_prior_squared_error 0.5 root_mean_squared_error 0.5513512663545852 root_mean_squared_error 0.5491699284389686 root_mean_squared_error 0.5513512663545852 root_mean_squared_error 0.5491699284389686 root_mean_squared_error 0.5513512663545852 root_mean_squared_error 0.5513512663545852 root_mean_squared_error 0.5524387053921694 root_mean_squared_error 0.5513512663545852 root_mean_squared_error 0.5508067417511509 root_mean_squared_error 0.550806741751151 root_relative_squared_error 1.1027025327091704 root_relative_squared_error 1.0983398568779372 root_relative_squared_error 1.1027025327091704 root_relative_squared_error 1.0983398568779372 root_relative_squared_error 1.1027025327091704 root_relative_squared_error 1.1027025327091704 root_relative_squared_error 1.1048774107843389 root_relative_squared_error 1.1027025327091704 root_relative_squared_error 1.1016134835023017 root_relative_squared_error 1.101613483502302 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 0.49740932642487046 [0,0.994819] unweighted_recall 0.5026041666666666 [0.005208,1] unweighted_recall 0.4974498056994819 [0.015625,0.979275] unweighted_recall 0.5026041666666666 [0.005208,1] unweighted_recall 0.5 [0,1] unweighted_recall 0.5 [0,1] unweighted_recall 0.4973958333333333 [0,0.994792] unweighted_recall 0.5 [0,1] unweighted_recall 0.5 [0,1] unweighted_recall 0.5 [0.005208,0.994792] usercpu_time_millis 1390.625 usercpu_time_millis 1265.625 usercpu_time_millis 1296.875 usercpu_time_millis 1390.625 usercpu_time_millis 1265.625 usercpu_time_millis 1250 usercpu_time_millis 1281.25 usercpu_time_millis 1312.5 usercpu_time_millis 1375 usercpu_time_millis 1375 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 31.25 usercpu_time_millis_training 1359.375 usercpu_time_millis_training 1234.375 usercpu_time_millis_training 1281.25 usercpu_time_millis_training 1359.375 usercpu_time_millis_training 1234.375 usercpu_time_millis_training 1234.375 usercpu_time_millis_training 1250 usercpu_time_millis_training 1296.875 usercpu_time_millis_training 1359.375 usercpu_time_millis_training 1343.75 wall_clock_time_millis 553.3397197723389 wall_clock_time_millis 547.7149486541748 wall_clock_time_millis 536.7586612701416 wall_clock_time_millis 550.8871078491211 wall_clock_time_millis 546.5598106384277 wall_clock_time_millis 541.0435199737549 wall_clock_time_millis 566.2825107574463 wall_clock_time_millis 548.583984375 wall_clock_time_millis 540.8329963684082 wall_clock_time_millis 542.7694320678711 wall_clock_time_millis_testing 24.26600456237793 wall_clock_time_millis_testing 24.503231048583984 wall_clock_time_millis_testing 23.889780044555664 wall_clock_time_millis_testing 23.001432418823242 wall_clock_time_millis_testing 23.314476013183594 wall_clock_time_millis_testing 23.822784423828125 wall_clock_time_millis_testing 24.792194366455078 wall_clock_time_millis_testing 23.476839065551758 wall_clock_time_millis_testing 23.24080467224121 wall_clock_time_millis_testing 23.44679832458496 wall_clock_time_millis_training 529.0737152099609 wall_clock_time_millis_training 523.2117176055908 wall_clock_time_millis_training 512.8688812255859 wall_clock_time_millis_training 527.8856754302979 wall_clock_time_millis_training 523.2453346252441 wall_clock_time_millis_training 517.2207355499268 wall_clock_time_millis_training 541.4903163909912 wall_clock_time_millis_training 525.1071453094482 wall_clock_time_millis_training 517.592191696167 wall_clock_time_millis_training 519.3226337432861 weighted_recall 0.4987012987012987 [0,0.994819] weighted_recall 0.5038961038961038 [0.005208,1] weighted_recall 0.4987012987012987 [0.015625,0.979275] weighted_recall 0.5038961038961038 [0.005208,1] weighted_recall 0.4987012987012987 [0,1] weighted_recall 0.4987012987012987 [0,1] weighted_recall 0.4961038961038961 [0,0.994792] weighted_recall 0.4987012987012987 [0,1] weighted_recall 0.5 [0,1] weighted_recall 0.5 [0.005208,0.994792]