8906228 1935 Hilde Weerts 14 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6843729 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 copy true 7646 with_mean false 7646 with_std true 7646 C 19315.810428506134 7650 cache_size 200 7650 class_weight null 7650 coef0 0.9618747294587566 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 4.971720282770197 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.07038804740211407 7650 verbose false 7650 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 memory null 8317 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18728192 description https://api.openml.org/data/download/18728192/description.xml -1 18728193 predictions https://api.openml.org/data/download/18728193/predictions.arff area_under_roc_curve 0.5052777777777778 [0.505,0.505,0.505556,0.501111,0.501111,0.505,0.51,0.505,0.51,0.505] average_cost 0 f_measure 0.061999836880250535 [0.019802,0.019802,0.174101,0.134228,0.134228,0.019802,0.039216,0.019802,0.039216,0.019802] kappa 0.010555555555555549 kb_relative_information_score 137.50590931143978 mean_absolute_error 0.17809999999999418 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7303700874289109 [1,1,0.101681,0.10101,0.10101,1,1,1,1,1] predictive_accuracy 0.10949999999999999 prior_entropy 3.321928094887362 recall 0.1095 [0.01,0.01,0.605,0.2,0.2,0.01,0.02,0.01,0.02,0.01] relative_absolute_error 0.9894444444443817 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.422018956920177 root_relative_squared_error 1.4067298564005686 total_cost 0 area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.525,0.5,0.525,0.5] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.505556,0.5,0.5,0.5,0.525,0.525,0.5,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5111111111111112 [0.525,0.5,0.5,0.5,0.511111,0.525,0.5,0.525,0.5,0.525] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.5,0.505556,0.5,0.525,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.5,0.5,0.525,0.525] area_under_roc_curve 0.5027777777777778 [0.5,0.5,0.502778,0.5,0.5,0.5,0.525,0.5,0.5,0.5] area_under_roc_curve 0.5055555555555555 [0.5,0.5,0.525,0.505556,0.5,0.5,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5055555555555555 [0.525,0.5,0.505556,0.5,0.5,0.5,0.525,0.5,0.5,0.5] 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 kappa 0.016666666666666666 kappa 0.011111111111111105 kappa 0 kappa 0.02222222222222221 kappa 0.011111111111111105 kappa 0 kappa 0.016666666666666666 kappa 0.005555555555555545 kappa 0.011111111111111105 kappa 0.011111111111111105 kb_relative_information_score 14.900924170760396 kb_relative_information_score 13.855166680199693 kb_relative_information_score 11.763651699078343 kb_relative_information_score 15.94668166132113 kb_relative_information_score 13.855166680199734 kb_relative_information_score 11.76365169907843 kb_relative_information_score 14.900924170760383 kb_relative_information_score 12.809409189639018 kb_relative_information_score 13.855166680199734 kb_relative_information_score 13.855166680199693 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17899999999999985 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17799999999999983 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] predictive_accuracy 0.115 predictive_accuracy 0.11 predictive_accuracy 0.1 predictive_accuracy 0.12 predictive_accuracy 0.11 predictive_accuracy 0.1 predictive_accuracy 0.115 predictive_accuracy 0.105 predictive_accuracy 0.11 predictive_accuracy 0.11 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.115 [0,0.05,1,0,0,0,0.05,0,0.05,0] recall 0.11 [0,0,1,0,0,0,0.05,0.05,0,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.12 [0.05,0,0,0,1,0.05,0,0.05,0,0.05] recall 0.11 [0,0,0,1,0,0.05,0,0,0.05,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.115 [0,0.05,1,0,0,0,0,0,0.05,0.05] recall 0.105 [0,0,1,0,0,0,0.05,0,0,0] recall 0.11 [0,0,0.05,1,0,0,0,0,0.05,0] recall 0.11 [0.05,0,1,0,0,0,0.05,0,0,0] relative_absolute_error 0.9833333333333334 relative_absolute_error 0.988888888888889 relative_absolute_error 1.0000000000000002 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.988888888888889 relative_absolute_error 1.0000000000000002 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9944444444444447 relative_absolute_error 0.988888888888889 relative_absolute_error 0.988888888888889 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.42426406871192834 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.42308391602612344 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.4219004621945795 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4102797200870791 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4063348739819324 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 2969.649414999367 usercpu_time_millis 3590.198514999429 usercpu_time_millis 3476.672069000415 usercpu_time_millis 3879.8290670001734 usercpu_time_millis 3792.4981410005785 usercpu_time_millis 3769.7271939996426 usercpu_time_millis 3748.00475200027 usercpu_time_millis 3853.614819999166 usercpu_time_millis 3755.270061998999 usercpu_time_millis 3749.2687439998917 usercpu_time_millis_testing 55.57380699974601 usercpu_time_millis_testing 66.16110999948432 usercpu_time_millis_testing 63.41772700034198 usercpu_time_millis_testing 64.6662950002792 usercpu_time_millis_testing 62.46680500044022 usercpu_time_millis_testing 65.95238899990363 usercpu_time_millis_testing 65.76260600013484 usercpu_time_millis_testing 65.96150799941825 usercpu_time_millis_testing 67.26064999929804 usercpu_time_millis_testing 65.79419799982134 usercpu_time_millis_training 2914.075607999621 usercpu_time_millis_training 3524.0374049999446 usercpu_time_millis_training 3413.254342000073 usercpu_time_millis_training 3815.162771999894 usercpu_time_millis_training 3730.0313360001383 usercpu_time_millis_training 3703.774804999739 usercpu_time_millis_training 3682.242146000135 usercpu_time_millis_training 3787.6533119997475 usercpu_time_millis_training 3688.009411999701 usercpu_time_millis_training 3683.4745460000704