10228461 6138 Felix Neutatz 40 Supervised Classification predictive_accuracy 12502 sklearn.pipeline.C376be61b409c76(n1=sklearn.compose._column_transformer.C376be61b409433(n2=sklearn.preprocessing._function_transformer.C58aca35ecdafb),c=sklearn.linear_model.logistic.LogisticRegression)(1) 8153704 C 1000 9801 class_weight "balanced" 9801 dual false 9801 fit_intercept true 9801 intercept_scaling 1 9801 max_iter 10000 9801 multi_class "auto" 9801 n_jobs null 9801 penalty "l2" 9801 random_state 56580 9801 solver "lbfgs" 9801 tol 0.0001 9801 verbose 0 9801 warm_start false 9801 memory null 12502 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "n1", "step_name": "n1"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "c", "step_name": "c"}}] 12502 n_jobs null 12503 remainder "drop" 12503 sparse_threshold 0.3 12503 transformer_weights null 12503 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "n2", "step_name": "n2", "argument_1": [5]}}] 12503 accept_sparse false 12504 check_inverse true 12504 func {"oml-python:serialized_object": "function", "value": "fastsklearnfeature.candidates.Identity.identity"} 12504 inv_kw_args null 12504 inverse_func null 12504 kw_args null 12504 pass_y "deprecated" 12504 validate false 12504 ComplexityDriven openml-python Sklearn_0.20.3. 41 glass https://www.openml.org/data/download/41/dataset_41_glass.arff -1 21378171 description https://api.openml.org/data/download/21378171/description.xml -1 21378172 predictions https://api.openml.org/data/download/21378172/predictions.arff area_under_roc_curve 0.5890940024528489 [0.604563,0.641257,0.595252,0.0,0.629353,0.933875,0.286393] average_cost 0 f_measure 0.2718510132639625 [0.026667,0.56701,0,0.0,0.333333,0.45,0.166667] kappa 0.14293946466130747 kb_relative_information_score 0.1028796323802265 mean_absolute_error 0.22271409570136802 mean_prior_absolute_error 0.2115883017477295 number_of_instances 214 [70,76,17,0,13,9,29] precision 0.28416082427357703 [0.2,0.466102,0,0.0,0.363636,0.290323,0.139535] predictive_accuracy 0.35046728971962615 prior_entropy 2.1835119304379678 recall 0.35046728971962615 [0.014286,0.723684,0,0.0,0.307692,1,0.206897] relative_absolute_error 1.0525822735082182 root_mean_prior_squared_error 0.3244481813208947 root_mean_squared_error 0.33801413878762554 root_relative_squared_error 1.0418124010173244 total_cost 0 area_under_roc_curve 0.5847972203235362 [0.557143,0.660714,0.625,0.0,0.190476,0.97619,0.421053] area_under_roc_curve 0.5638983823194349 [0.738095,0.540179,0.425,0.0,0.428571,0.928571,0.236842] area_under_roc_curve 0.6718614718614718 [0.604762,0.633929,0.8375,0.0,1,0.97619,0.4125] area_under_roc_curve 0.6584928229665071 [0.604762,0.834821,0.809524,0.0,0.8,0.928571,0.078947] area_under_roc_curve 0.526309669166812 [0.561224,0.543269,0.75,0.0,0.5,0.0,0.342593] area_under_roc_curve 0.6554363625792197 [0.581633,0.769231,0.7,0.0,1,0.95,0.296296] area_under_roc_curve 0.6140161912718304 [0.515306,0.739796,0.697368,0.0,0.875,0.95,0.296296] area_under_roc_curve 0.5377630584397503 [0.653061,0.423469,0.434211,0.0,1,1,0.296296] area_under_roc_curve 0.6987498508175201 [0.867347,0.872449,0.618421,0.0,0.25,0.925,0.027778] area_under_roc_curve 0.6762352309344791 [0.617347,0.872449,0.723684,0.0,0.4,0.925,0.333333] 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 0.17979797979797982 [0,0.444444,0,0.0,0,0.4,0] kappa 0.18051575931232094 kappa -0.00268096514745311 kappa 0.2164383561643836 kappa 0.17204301075268819 kappa 0.07079646017699112 kappa 0.2477611940298507 kappa 0.2409638554216867 kappa 0.08430232558139532 kappa 0.051204819277108404 kappa 0.1923076923076923 kb_relative_information_score 0.09326198024403666 kb_relative_information_score 0.05809806252819336 kb_relative_information_score 0.15954382267469197 kb_relative_information_score 0.1397362358910435 kb_relative_information_score 0.01929064950294824 kb_relative_information_score 0.08707572575005798 kb_relative_information_score 0.11765613127151701 kb_relative_information_score 0.15457061868189156 kb_relative_information_score 0.08350086275736651 kb_relative_information_score 0.10779001458599041 mean_absolute_error 0.22354862039307993 mean_absolute_error 0.2288660009906129 mean_absolute_error 0.2193349093019817 mean_absolute_error 0.21483920738478746 mean_absolute_error 0.23089001087626465 mean_absolute_error 0.2230851180818875 mean_absolute_error 0.22224101296999246 mean_absolute_error 0.21567841885968156 mean_absolute_error 0.22500011739157208 mean_absolute_error 0.22386076194167703 mean_prior_absolute_error 0.21149438796497622 mean_prior_absolute_error 0.21149438796497622 mean_prior_absolute_error 0.2124346241993301 mean_prior_absolute_error 0.2117294470235647 mean_prior_absolute_error 0.2088219903345954 mean_prior_absolute_error 0.20906824268168808 mean_prior_absolute_error 0.21270046480130514 mean_prior_absolute_error 0.21270046480130514 mean_prior_absolute_error 0.21270046480130514 mean_prior_absolute_error 0.21270046480130514 number_of_instances 22 [7,8,2,0,1,1,3] number_of_instances 22 [7,8,2,0,1,1,3] number_of_instances 22 [7,8,2,0,2,1,2] number_of_instances 22 [7,8,1,0,2,1,3] number_of_instances 21 [7,8,1,0,2,0,3] number_of_instances 21 [7,8,1,0,1,1,3] number_of_instances 21 [7,7,2,0,1,1,3] number_of_instances 21 [7,7,2,0,1,1,3] number_of_instances 21 [7,7,2,0,1,1,3] number_of_instances 21 [7,7,2,0,1,1,3] precision 0.15681818181818183 [0,0.4,0,0.0,0,0.25,0] predictive_accuracy 0.40909090909090906 predictive_accuracy 0.22727272727272727 predictive_accuracy 0.40909090909090906 predictive_accuracy 0.36363636363636365 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.42857142857142855 predictive_accuracy 0.42857142857142855 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.28571428571428575 predictive_accuracy 0.38095238095238093 prior_entropy 2.1800695153574705 prior_entropy 2.1800695153574705 prior_entropy 2.230048409609785 prior_entropy 2.196549973511321 prior_entropy 2.0884821406069043 prior_entropy 2.1115977038054874 prior_entropy 2.2114482532937054 prior_entropy 2.2114482532937054 prior_entropy 2.2114482532937054 prior_entropy 2.2114482532937054 recall 0.4090909090909091 [0,0.875,0,0.0,0,1,0.333333] recall 0.22727272727272727 [0,0.5,0,0.0,0,1,0] recall 0.4090909090909091 [0,0.75,0,0.0,0.5,1,0.5] recall 0.36363636363636365 [0,0.75,0,0.0,0.5,1,0] recall 0.2857142857142857 [0.142857,0.5,0,0.0,0,0.0,0.333333] recall 0.42857142857142855 [0,0.75,0,0.0,1,1,0.333333] recall 0.42857142857142855 [0,1,0,0.0,0,1,0.333333] recall 0.2857142857142857 [0,0.571429,0,0.0,1,1,0] recall 0.2857142857142857 [0,0.714286,0,0.0,0,1,0] recall 0.38095238095238093 [0,0.857143,0,0.0,0,1,0.333333] relative_absolute_error 1.0569955190967049 relative_absolute_error 1.0821374656452514 relative_absolute_error 1.0324819229852897 relative_absolute_error 1.0146874249422502 relative_absolute_error 1.1056786237230556 relative_absolute_error 1.0670444981045757 relative_absolute_error 1.0448543832642756 relative_absolute_error 1.0140006937039763 relative_absolute_error 1.0578261669609266 relative_absolute_error 1.0524695474962753 root_mean_prior_squared_error 0.3243034205488469 root_mean_prior_squared_error 0.3243034205488469 root_mean_prior_squared_error 0.3257498193614789 root_mean_prior_squared_error 0.32466562435569113 root_mean_prior_squared_error 0.32015669749249576 root_mean_prior_squared_error 0.32054104775581255 root_mean_prior_squared_error 0.32615760824486556 root_mean_prior_squared_error 0.32615760824486556 root_mean_prior_squared_error 0.32615760824486556 root_mean_prior_squared_error 0.32615760824486556 root_mean_squared_error 0.336231161838601 root_mean_squared_error 0.3504673356001338 root_mean_squared_error 0.328346808487034 root_mean_squared_error 0.33222947905678346 root_mean_squared_error 0.3479192472016726 root_mean_squared_error 0.3357128816306338 root_mean_squared_error 0.3342743895327498 root_mean_squared_error 0.3347909198180873 root_mean_squared_error 0.34086794809965704 root_mean_squared_error 0.3388847977686958 root_relative_squared_error 1.0367795728752036 root_relative_squared_error 1.0806772713251294 root_relative_squared_error 1.0079723424886178 root_relative_squared_error 1.0232973685344822 root_relative_squared_error 1.0867155050218107 root_relative_squared_error 1.047331953211743 root_relative_squared_error 1.024886070668603 root_relative_squared_error 1.0264697537478267 root_relative_squared_error 1.0451019368640562 root_relative_squared_error 1.039021593248486 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 17.958538000000246 usercpu_time_millis 8.552172000000358 usercpu_time_millis 7.284350999999578 usercpu_time_millis 7.227375000000258 usercpu_time_millis 6.564900999999956 usercpu_time_millis 7.718365000000116 usercpu_time_millis 7.145226999999643 usercpu_time_millis 8.438419999999613 usercpu_time_millis 7.903913999999457 usercpu_time_millis 7.187362999999447 usercpu_time_millis_testing 0.6301710000000682 usercpu_time_millis_testing 0.4513570000002076 usercpu_time_millis_testing 0.3769039999999002 usercpu_time_millis_testing 0.36941600000028885 usercpu_time_millis_testing 0.39738099999997445 usercpu_time_millis_testing 0.3893640000001142 usercpu_time_millis_testing 0.3796619999998363 usercpu_time_millis_testing 0.4137459999999926 usercpu_time_millis_testing 0.4109469999997728 usercpu_time_millis_testing 0.4331459999997733 usercpu_time_millis_training 17.328367000000178 usercpu_time_millis_training 8.10081500000015 usercpu_time_millis_training 6.907446999999678 usercpu_time_millis_training 6.857958999999969 usercpu_time_millis_training 6.167519999999982 usercpu_time_millis_training 7.329001000000002 usercpu_time_millis_training 6.765564999999807 usercpu_time_millis_training 8.02467399999962 usercpu_time_millis_training 7.492966999999684 usercpu_time_millis_training 6.754216999999674