8906141 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) 6843648 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 11663.126806136846 7650 cache_size 200 7650 class_weight null 7650 coef0 0.9254833498407792 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 3.1573195827941083 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.050342340106018554 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 18728018 description https://api.openml.org/data/download/18728018/description.xml -1 18728019 predictions https://api.openml.org/data/download/18728019/predictions.arff area_under_roc_curve 0.5072222222222221 [0.5125,0.5125,0.508889,0.501389,0.501944,0.505,0.51,0.505,0.51,0.505] average_cost 0 f_measure 0.06805518287348065 [0.04878,0.04878,0.175793,0.134454,0.134907,0.019802,0.039216,0.019802,0.039216,0.019802] kappa 0.014444444444444442 kb_relative_information_score 144.82621174536453 mean_absolute_error 0.1773999999999942 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7305740595961874 [1,1,0.102694,0.101266,0.101781,1,1,1,1,1] predictive_accuracy 0.113 prior_entropy 3.321928094887362 recall 0.113 [0.025,0.025,0.61,0.2,0.2,0.01,0.02,0.01,0.02,0.01] relative_absolute_error 0.9855555555554929 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.42118879377304685 root_relative_squared_error 1.4039626459101349 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 0.5055555555555555 [0.5,0.55,0.505556,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5111111111111112 [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 0.5083333333333333 [0.525,0.525,0.525,0.5,0.508333,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5111111111111112 [0.525,0.525,0.511111,0.5,0.5,0.5,0.5,0.5,0.525,0.525] 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 0.5083333333333333 [0.525,0.5,0.525,0.508333,0.5,0.5,0.5,0.5,0.525,0.5] 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 0.011111111111111105 kappa 0.02222222222222221 kappa 0.011111111111111105 kappa 0.016666666666666666 kappa 0.02222222222222221 kappa 0.005555555555555545 kappa 0.016666666666666666 kappa 0.011111111111111105 kb_relative_information_score 14.900924170760396 kb_relative_information_score 13.855166680199693 kb_relative_information_score 13.855166680199778 kb_relative_information_score 15.94668166132113 kb_relative_information_score 13.855166680199734 kb_relative_information_score 14.900924170760446 kb_relative_information_score 15.946681661321106 kb_relative_information_score 12.809409189639018 kb_relative_information_score 14.900924170760408 kb_relative_information_score 13.855166680199693 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.1759999999999998 mean_absolute_error 0.17899999999999985 mean_absolute_error 0.17699999999999982 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 0.11 predictive_accuracy 0.12 predictive_accuracy 0.11 predictive_accuracy 0.115 predictive_accuracy 0.12 predictive_accuracy 0.105 predictive_accuracy 0.115 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 0.11 [0,0.1,1,0,0,0,0,0,0,0] 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 0.115 [0.05,0.05,0.05,0,1,0,0,0,0,0] recall 0.12 [0.05,0.05,1,0,0,0,0,0,0.05,0.05] recall 0.105 [0,0,1,0,0,0,0.05,0,0,0] recall 0.115 [0.05,0,0.05,1,0,0,0,0,0.05,0] 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 0.988888888888889 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.988888888888889 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9777777777777777 relative_absolute_error 0.9944444444444447 relative_absolute_error 0.9833333333333334 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 0.4219004621945795 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.4219004621945795 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.41952353926806035 root_mean_squared_error 0.42308391602612344 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.4219004621945795 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.3984117975602017 root_relative_squared_error 1.4102797200870791 root_relative_squared_error 1.4023789311975088 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 3667.9326270000274 usercpu_time_millis 3724.3313170001784 usercpu_time_millis 2972.5537590002205 usercpu_time_millis 3077.241006999884 usercpu_time_millis 3822.3042340000575 usercpu_time_millis 3437.271679999867 usercpu_time_millis 3789.142098999946 usercpu_time_millis 3683.3755859997837 usercpu_time_millis 3120.4333129999213 usercpu_time_millis 3662.4622479998834 usercpu_time_millis_testing 58.65933699988091 usercpu_time_millis_testing 53.005320000011125 usercpu_time_millis_testing 49.98834300022281 usercpu_time_millis_testing 52.079371999752766 usercpu_time_millis_testing 58.64099700011138 usercpu_time_millis_testing 61.137763999795425 usercpu_time_millis_testing 58.12841099987054 usercpu_time_millis_testing 51.4591000001019 usercpu_time_millis_testing 50.11920500010092 usercpu_time_millis_testing 59.30326099996819 usercpu_time_millis_training 3609.2732900001465 usercpu_time_millis_training 3671.3259970001673 usercpu_time_millis_training 2922.5654159999976 usercpu_time_millis_training 3025.1616350001314 usercpu_time_millis_training 3763.663236999946 usercpu_time_millis_training 3376.1339160000716 usercpu_time_millis_training 3731.0136880000755 usercpu_time_millis_training 3631.9164859996818 usercpu_time_millis_training 3070.3141079998204 usercpu_time_millis_training 3603.158986999915