8905988 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) 6843516 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 6030.732278089944 7650 cache_size 200 7650 class_weight null 7650 coef0 0.8779058737906714 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 1.743885994931162 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.03248055901444239 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 18727712 description https://api.openml.org/data/download/18727712/description.xml -1 18727713 predictions https://api.openml.org/data/download/18727713/predictions.arff area_under_roc_curve 0.5133333333333333 [0.5475,0.525,0.513889,0.503889,0.503056,0.505,0.51,0.505,0.515,0.505] average_cost 0 f_measure 0.08762312014641614 [0.173516,0.095238,0.178261,0.136519,0.135823,0.019802,0.039216,0.019802,0.058252,0.019802] kappa 0.026666666666666658 kb_relative_information_score 167.8328765376991 mean_absolute_error 0.17519999999999433 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7310691994636918 [1,1,0.104237,0.103627,0.102828,1,1,1,1,1] predictive_accuracy 0.124 prior_entropy 3.321928094887362 recall 0.124 [0.095,0.05,0.615,0.2,0.2,0.01,0.02,0.01,0.03,0.01] relative_absolute_error 0.9733333333332719 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.41856899072912024 root_relative_squared_error 1.395229969097046 total_cost 0 area_under_roc_curve 0.5138888888888888 [0.525,0.55,0.513889,0.5,0.5,0.5,0.525,0.5,0.525,0.5] area_under_roc_curve 0.5111111111111112 [0.525,0.5,0.511111,0.5,0.5,0.5,0.525,0.525,0.525,0.5] area_under_roc_curve 0.5055555555555555 [0.5,0.55,0.505556,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5194444444444444 [0.6,0.5,0.5,0.5,0.519444,0.525,0.5,0.525,0.5,0.525] area_under_roc_curve 0.5166666666666667 [0.55,0.55,0.5,0.516667,0.5,0.525,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5111111111111112 [0.55,0.525,0.525,0.5,0.511111,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5166666666666667 [0.55,0.55,0.516667,0.5,0.5,0.5,0.5,0.5,0.525,0.525] area_under_roc_curve 0.5055555555555555 [0.5,0.525,0.505556,0.5,0.5,0.5,0.525,0.5,0.5,0.5] area_under_roc_curve 0.5222222222222223 [0.6,0.5,0.55,0.522222,0.5,0.5,0.5,0.5,0.55,0.5] area_under_roc_curve 0.5111111111111112 [0.575,0.5,0.511111,0.5,0.5,0.5,0.525,0.5,0.5,0.5] 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 0.02777777777777777 kappa 0.02222222222222221 kappa 0.011111111111111105 kappa 0.03888888888888889 kappa 0.03333333333333333 kappa 0.02222222222222221 kappa 0.03333333333333333 kappa 0.011111111111111105 kappa 0.04444444444444445 kappa 0.02222222222222221 kb_relative_information_score 16.992439151881868 kb_relative_information_score 15.946681661321048 kb_relative_information_score 13.855166680199778 kb_relative_information_score 19.08395413300327 kb_relative_information_score 18.03819664244259 kb_relative_information_score 15.946681661321117 kb_relative_information_score 18.038196642442664 kb_relative_information_score 13.855166680199721 kb_relative_information_score 20.129711623564006 kb_relative_information_score 15.946681661321117 mean_absolute_error 0.1749999999999998 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17299999999999977 mean_absolute_error 0.17399999999999977 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17399999999999977 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.1759999999999998 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 0.125 predictive_accuracy 0.12 predictive_accuracy 0.11 predictive_accuracy 0.135 predictive_accuracy 0.13 predictive_accuracy 0.12 predictive_accuracy 0.13 predictive_accuracy 0.11 predictive_accuracy 0.14 predictive_accuracy 0.12 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 0.125 [0.05,0.1,1,0,0,0,0.05,0,0.05,0] recall 0.12 [0.05,0,1,0,0,0,0.05,0.05,0.05,0] recall 0.11 [0,0.1,1,0,0,0,0,0,0,0] recall 0.135 [0.2,0,0,0,1,0.05,0,0.05,0,0.05] recall 0.13 [0.1,0.1,0,1,0,0.05,0,0,0.05,0] recall 0.12 [0.1,0.05,0.05,0,1,0,0,0,0,0] recall 0.13 [0.1,0.1,1,0,0,0,0,0,0.05,0.05] recall 0.11 [0,0.05,1,0,0,0,0.05,0,0,0] recall 0.14 [0.2,0,0.1,1,0,0,0,0,0.1,0] recall 0.12 [0.15,0,1,0,0,0,0.05,0,0,0] relative_absolute_error 0.9722222222222221 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.988888888888889 relative_absolute_error 0.9611111111111108 relative_absolute_error 0.9666666666666665 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.9666666666666665 relative_absolute_error 0.988888888888889 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9777777777777777 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 0.4183300132670375 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.41593268686170815 root_mean_squared_error 0.4171330722922839 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.4171330722922839 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.41952353926806035 root_relative_squared_error 1.3944333775567928 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.386442289539028 root_relative_squared_error 1.3904435743076138 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.3904435743076138 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.3984117975602017 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 2901.311127000099 usercpu_time_millis 3076.1889229997905 usercpu_time_millis 3451.5959050004312 usercpu_time_millis 3524.365819000195 usercpu_time_millis 3663.328230999923 usercpu_time_millis 3290.3259859999707 usercpu_time_millis 3556.8230160001804 usercpu_time_millis 3648.2261569999537 usercpu_time_millis 3591.359053999895 usercpu_time_millis 3674.674182999752 usercpu_time_millis_testing 45.376379000117595 usercpu_time_millis_testing 52.70173999997496 usercpu_time_millis_testing 54.146409000168205 usercpu_time_millis_testing 53.26632200012682 usercpu_time_millis_testing 55.168677999972715 usercpu_time_millis_testing 51.303519000157394 usercpu_time_millis_testing 53.14821799993297 usercpu_time_millis_testing 53.79247300015777 usercpu_time_millis_testing 53.02913500008799 usercpu_time_millis_testing 52.16915599976346 usercpu_time_millis_training 2855.9347479999815 usercpu_time_millis_training 3023.4871829998156 usercpu_time_millis_training 3397.449496000263 usercpu_time_millis_training 3471.0994970000684 usercpu_time_millis_training 3608.1595529999504 usercpu_time_millis_training 3239.0224669998133 usercpu_time_millis_training 3503.6747980002474 usercpu_time_millis_training 3594.433683999796 usercpu_time_millis_training 3538.329918999807 usercpu_time_millis_training 3622.5050269999883