8906008 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) 6843536 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 2453.0396203072887 7650 cache_size 200 7650 class_weight null 7650 coef0 0.8130177410228502 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.776102624430471 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.017867795123071354 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 18727752 description https://api.openml.org/data/download/18727752/description.xml -1 18727753 predictions https://api.openml.org/data/download/18727753/predictions.arff area_under_roc_curve 0.5288888888888889 [0.6275,0.544444,0.529444,0.506389,0.508889,0.51,0.51,0.5125,0.5325,0.507222] average_cost 0 f_measure 0.13152288155029718 [0.406375,0.163636,0.186012,0.138648,0.141869,0.039216,0.039216,0.04878,0.122066,0.029412] kappa 0.05777777777777777 kb_relative_information_score 226.39529600909583 mean_absolute_error 0.16959999999999464 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6973832138487311 [1,0.9,0.109266,0.106101,0.108466,1,1,1,1,0.75] predictive_accuracy 0.152 prior_entropy 3.321928094887362 recall 0.152 [0.255,0.09,0.625,0.2,0.205,0.02,0.02,0.025,0.065,0.015] relative_absolute_error 0.9422222222221635 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4118252056394735 root_relative_squared_error 1.3727506854648905 total_cost 0 area_under_roc_curve 0.5277777777777778 [0.6,0.547222,0.530556,0.5,0.5,0.525,0.525,0.5,0.55,0.5] area_under_roc_curve 0.525 [0.6,0.525,0.525,0.5,0.5,0.5,0.525,0.55,0.525,0.5] area_under_roc_curve 0.5222222222222223 [0.575,0.597222,0.525,0.5,0.5,0.525,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5305555555555554 [0.65,0.525,0.525,0.5,0.533333,0.525,0.5,0.525,0.5,0.522222] 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 0.5305555555555556 [0.675,0.55,0.55,0.5,0.530556,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5305555555555556 [0.625,0.55,0.530556,0.5,0.5,0.5,0.5,0.525,0.525,0.55] area_under_roc_curve 0.5305555555555556 [0.65,0.525,0.530556,0.5,0.525,0.5,0.525,0.525,0.525,0.5] area_under_roc_curve 0.5361111111111111 [0.65,0.55,0.55,0.536111,0.5,0.5,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5277777777777778 [0.675,0.5,0.527778,0.5,0.5,0.5,0.525,0.5,0.55,0.5] 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 0.05555555555555554 kappa 0.04999999999999998 kappa 0.04444444444444445 kappa 0.0611111111111111 kappa 0.05555555555555554 kappa 0.0611111111111111 kappa 0.0611111111111111 kappa 0.0611111111111111 kappa 0.07222222222222223 kappa 0.05555555555555554 kb_relative_information_score 22.22122660468545 kb_relative_information_score 21.175469114124752 kb_relative_information_score 20.129711623564102 kb_relative_information_score 23.266984095245988 kb_relative_information_score 22.221226604685356 kb_relative_information_score 23.266984095246 kb_relative_information_score 23.2669840952461 kb_relative_information_score 23.2669840952461 kb_relative_information_score 25.358499076367398 kb_relative_information_score 22.2212266046854 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.17099999999999974 mean_absolute_error 0.17199999999999974 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.1689999999999997 mean_absolute_error 0.16699999999999968 mean_absolute_error 0.1699999999999997 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 0.15 predictive_accuracy 0.145 predictive_accuracy 0.14 predictive_accuracy 0.155 predictive_accuracy 0.15 predictive_accuracy 0.155 predictive_accuracy 0.155 predictive_accuracy 0.155 predictive_accuracy 0.165 predictive_accuracy 0.15 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 0.15 [0.2,0.1,1,0,0,0.05,0.05,0,0.1,0] recall 0.145 [0.2,0.05,1,0,0,0,0.05,0.1,0.05,0] recall 0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0] recall 0.155 [0.3,0.05,0.05,0,1,0.05,0,0.05,0,0.05] recall 0.15 [0.15,0.15,0,1,0,0.05,0,0,0.15,0] recall 0.155 [0.35,0.1,0.1,0,1,0,0,0,0,0] recall 0.155 [0.25,0.1,1,0,0,0,0,0.05,0.05,0.1] recall 0.155 [0.3,0.05,1,0,0.05,0,0.05,0.05,0.05,0] recall 0.165 [0.3,0.1,0.1,1,0,0,0,0,0.15,0] recall 0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0] relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9499999999999996 relative_absolute_error 0.9555555555555552 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.9388888888888883 relative_absolute_error 0.927777777777777 relative_absolute_error 0.9444444444444439 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 0.4123105625617657 root_mean_squared_error 0.41352146256270633 root_mean_squared_error 0.4147288270665541 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.41109609582188894 root_mean_squared_error 0.4086563348340506 root_mean_squared_error 0.4123105625617657 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.378404875209022 root_relative_squared_error 1.3824294235551813 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3703203194062974 root_relative_squared_error 1.3621877827801696 root_relative_squared_error 1.374368541872553 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 2764.6475510000528 usercpu_time_millis 2786.6471390002516 usercpu_time_millis 2935.0425060001726 usercpu_time_millis 3496.3445869998395 usercpu_time_millis 3703.27295900006 usercpu_time_millis 3617.1603190000496 usercpu_time_millis 3603.7646899999345 usercpu_time_millis 3659.2734670002756 usercpu_time_millis 3608.039268999619 usercpu_time_millis 3509.507321000001 usercpu_time_millis_testing 43.937670000104845 usercpu_time_millis_testing 44.04498300027626 usercpu_time_millis_testing 46.665709000080824 usercpu_time_millis_testing 54.160194999894884 usercpu_time_millis_testing 58.52099399999133 usercpu_time_millis_testing 53.99897100005546 usercpu_time_millis_testing 52.867805999994744 usercpu_time_millis_testing 58.8063410000359 usercpu_time_millis_testing 52.71882299985009 usercpu_time_millis_testing 53.71804100013833 usercpu_time_millis_training 2720.709880999948 usercpu_time_millis_training 2742.6021559999754 usercpu_time_millis_training 2888.3767970000918 usercpu_time_millis_training 3442.1843919999446 usercpu_time_millis_training 3644.7519650000686 usercpu_time_millis_training 3563.161347999994 usercpu_time_millis_training 3550.8968839999397 usercpu_time_millis_training 3600.4671260002397 usercpu_time_millis_training 3555.3204459997687 usercpu_time_millis_training 3455.7892799998626