8905460 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) 6843054 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 5436.843986891607 7650 cache_size 200 7650 class_weight null 7650 coef0 0.8704276857248127 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 1.588536614107746 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.03031871166856094 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 18726664 description https://api.openml.org/data/download/18726664/description.xml -1 18726665 predictions https://api.openml.org/data/download/18726665/predictions.arff area_under_roc_curve 0.5133333333333333 [0.5475,0.524722,0.514167,0.503889,0.503056,0.505,0.51,0.505,0.515,0.505] average_cost 0 f_measure 0.08759091042996696 [0.173516,0.094787,0.17839,0.136519,0.135823,0.019802,0.039216,0.019802,0.058252,0.019802] 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 0.7219871315337782 [1,0.909091,0.104326,0.103627,0.102828,1,1,1,1,1] 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 [0.525,0.547222,0.516667,0.5,0.5,0.5,0.525,0.5,0.525,0.5] 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 3455.6085359999997 usercpu_time_millis 3405.1576720000003 usercpu_time_millis 3520.571436 usercpu_time_millis 3502.2939579999993 usercpu_time_millis 3570.908917999999 usercpu_time_millis 3520.6529730000007 usercpu_time_millis 3463.7252180000005 usercpu_time_millis 3440.0440150000013 usercpu_time_millis 3485.2449009999978 usercpu_time_millis 2932.8917560000036 usercpu_time_millis_testing 59.33617999999985 usercpu_time_millis_testing 52.551044000000324 usercpu_time_millis_testing 52.614836000000054 usercpu_time_millis_testing 58.084476999999524 usercpu_time_millis_testing 52.81955799999949 usercpu_time_millis_testing 59.49509699999922 usercpu_time_millis_testing 51.302825000000496 usercpu_time_millis_testing 51.23835000000199 usercpu_time_millis_testing 52.74233100000103 usercpu_time_millis_testing 51.465974000002745 usercpu_time_millis_training 3396.272356 usercpu_time_millis_training 3352.606628 usercpu_time_millis_training 3467.9566 usercpu_time_millis_training 3444.209481 usercpu_time_millis_training 3518.0893599999995 usercpu_time_millis_training 3461.1578760000016 usercpu_time_millis_training 3412.422393 usercpu_time_millis_training 3388.8056649999994 usercpu_time_millis_training 3432.502569999997 usercpu_time_millis_training 2881.4257820000007