8906361 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) 6843838 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 3320.724031832656 7650 cache_size 200 7650 class_weight null 7650 coef0 0.8348641058787548 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 1.0192824630318236 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.021850250663746393 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 18728458 description https://api.openml.org/data/download/18728458/description.xml -1 18728459 predictions https://api.openml.org/data/download/18728459/predictions.arff area_under_roc_curve 0.5216666666666667 [0.5925,0.529444,0.521944,0.505833,0.504444,0.505,0.51,0.51,0.5325,0.505] average_cost 0 f_measure 0.11218613956343285 [0.312236,0.11215,0.182219,0.138169,0.136986,0.019802,0.039216,0.039216,0.122066,0.019802] kappa 0.04333333333333334 kb_relative_information_score 199.20560125451877 mean_absolute_error 0.1721999999999945 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7173654899804651 [1,0.857143,0.106804,0.105541,0.104167,1,1,1,1,1] predictive_accuracy 0.139 prior_entropy 3.321928094887362 recall 0.139 [0.185,0.06,0.62,0.2,0.2,0.01,0.02,0.02,0.065,0.01] relative_absolute_error 0.9566666666666066 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.41496987842492195 root_relative_squared_error 1.3832329280830522 total_cost 0 area_under_roc_curve 0.5194444444444444 [0.55,0.547222,0.522222,0.5,0.5,0.5,0.525,0.5,0.55,0.5] area_under_roc_curve 0.5166666666666667 [0.575,0.5,0.516667,0.5,0.5,0.5,0.525,0.525,0.525,0.5] area_under_roc_curve 0.5111111111111112 [0.55,0.547222,0.513889,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5222222222222223 [0.625,0.5,0.5,0.5,0.522222,0.525,0.5,0.525,0.5,0.525] area_under_roc_curve 0.5277777777777778 [0.575,0.575,0.5,0.527778,0.5,0.525,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5222222222222223 [0.625,0.525,0.55,0.5,0.522222,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.525 [0.6,0.55,0.525,0.5,0.5,0.5,0.5,0.525,0.525,0.525] area_under_roc_curve 0.5222222222222223 [0.6,0.525,0.522222,0.5,0.5,0.5,0.525,0.525,0.525,0.5] area_under_roc_curve 0.5305555555555556 [0.625,0.525,0.55,0.530556,0.5,0.5,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5194444444444444 [0.6,0.5,0.519444,0.5,0.5,0.5,0.525,0.5,0.55,0.5] 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 0.03888888888888889 kappa 0.03333333333333333 kappa 0.02222222222222221 kappa 0.04444444444444445 kappa 0.05555555555555554 kappa 0.04444444444444445 kappa 0.04999999999999998 kappa 0.04444444444444445 kappa 0.0611111111111111 kappa 0.03888888888888889 kb_relative_information_score 19.083954133003346 kb_relative_information_score 18.038196642442518 kb_relative_information_score 15.946681661321227 kb_relative_information_score 20.129711623563956 kb_relative_information_score 22.221226604685356 kb_relative_information_score 20.129711623563956 kb_relative_information_score 21.17546911412475 kb_relative_information_score 20.12971162356407 kb_relative_information_score 23.266984095246038 kb_relative_information_score 19.083954133003314 mean_absolute_error 0.17299999999999977 mean_absolute_error 0.17399999999999977 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.17099999999999974 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.17299999999999977 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 0.135 predictive_accuracy 0.13 predictive_accuracy 0.12 predictive_accuracy 0.14 predictive_accuracy 0.15 predictive_accuracy 0.14 predictive_accuracy 0.145 predictive_accuracy 0.14 predictive_accuracy 0.155 predictive_accuracy 0.135 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 0.135 [0.1,0.1,1,0,0,0,0.05,0,0.1,0] recall 0.13 [0.15,0,1,0,0,0,0.05,0.05,0.05,0] recall 0.12 [0.1,0.1,1,0,0,0,0,0,0,0] recall 0.14 [0.25,0,0,0,1,0.05,0,0.05,0,0.05] recall 0.15 [0.15,0.15,0,1,0,0.05,0,0,0.15,0] recall 0.14 [0.25,0.05,0.1,0,1,0,0,0,0,0] recall 0.145 [0.2,0.1,1,0,0,0,0,0.05,0.05,0.05] recall 0.14 [0.2,0.05,1,0,0,0,0.05,0.05,0.05,0] recall 0.155 [0.25,0.05,0.1,1,0,0,0,0,0.15,0] recall 0.135 [0.2,0,1,0,0,0,0.05,0,0.1,0] relative_absolute_error 0.9611111111111108 relative_absolute_error 0.9666666666666665 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9499999999999996 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9611111111111108 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 0.41593268686170815 root_mean_squared_error 0.4171330722922839 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.41352146256270633 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.41593268686170815 root_relative_squared_error 1.386442289539028 root_relative_squared_error 1.3904435743076138 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.378404875209022 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.386442289539028 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 3754.6736570002395 usercpu_time_millis 3561.9105400010085 usercpu_time_millis 3442.528010999922 usercpu_time_millis 3586.770441999761 usercpu_time_millis 3170.6381249987317 usercpu_time_millis 3151.39551700031 usercpu_time_millis 3547.999776999859 usercpu_time_millis 3550.1929439997184 usercpu_time_millis 3868.779230000655 usercpu_time_millis 3770.81868499954 usercpu_time_millis_testing 54.58401200030494 usercpu_time_millis_testing 55.022064000695536 usercpu_time_millis_testing 46.76956200000859 usercpu_time_millis_testing 45.96512599982816 usercpu_time_millis_testing 46.38524499932828 usercpu_time_millis_testing 54.667201000484056 usercpu_time_millis_testing 46.25915199994779 usercpu_time_millis_testing 54.35516799934703 usercpu_time_millis_testing 54.0103610001097 usercpu_time_millis_testing 60.02691199955734 usercpu_time_millis_training 3700.0896449999345 usercpu_time_millis_training 3506.888476000313 usercpu_time_millis_training 3395.7584489999135 usercpu_time_millis_training 3540.8053159999326 usercpu_time_millis_training 3124.2528799994034 usercpu_time_millis_training 3096.728315999826 usercpu_time_millis_training 3501.7406249999112 usercpu_time_millis_training 3495.8377760003714 usercpu_time_millis_training 3814.7688690005452 usercpu_time_millis_training 3710.7917729999826