8905685 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) 6843256 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 1401.5693178926615 7650 cache_size 200 7650 class_weight null 7650 coef0 0.7726413691329292 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.4689625569610795 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.012318716952250201 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 18727114 description https://api.openml.org/data/download/18727114/description.xml -1 18727115 predictions https://api.openml.org/data/download/18727115/predictions.arff area_under_roc_curve 0.5658333333333334 [0.705,0.551111,0.625833,0.511667,0.551667,0.51,0.514444,0.535,0.63,0.523611] average_cost 0 f_measure 0.21267472663237477 [0.58156,0.185841,0.284757,0.143369,0.197749,0.039216,0.057692,0.130841,0.412698,0.093023] kappa 0.13166666666666665 kb_relative_information_score 365.48104225366524 mean_absolute_error 0.15629999999999541 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6668012703339298 [1,0.807692,0.214106,0.111732,0.117816,1,0.75,1,1,0.666667] predictive_accuracy 0.21850000000000003 prior_entropy 3.321928094887362 recall 0.2185 [0.41,0.105,0.425,0.2,0.615,0.02,0.03,0.07,0.26,0.05] relative_absolute_error 0.8683333333332811 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3953479480154101 root_relative_squared_error 1.3178264933846802 total_cost 0 area_under_roc_curve 0.5694444444444444 [0.65,0.566667,0.75,0.5,0.577778,0.525,0.525,0.5,0.6,0.5] area_under_roc_curve 0.6055555555555556 [0.725,0.55,0.775,0.5,0.605556,0.5,0.525,0.675,0.675,0.525] area_under_roc_curve 0.5611111111111111 [0.7,0.597222,0.563889,0.5,0.55,0.525,0.525,0.5,0.65,0.5] area_under_roc_curve 0.5527777777777778 [0.65,0.525,0.575,0.5,0.555556,0.525,0.525,0.55,0.575,0.547222] area_under_roc_curve 0.55 [0.65,0.575,0.525,0.55,0.5,0.525,0.5,0.525,0.65,0.5] area_under_roc_curve 0.5583333333333333 [0.75,0.55,0.575,0.5,0.561111,0.5,0.5,0.5,0.625,0.522222] area_under_roc_curve 0.5611111111111111 [0.75,0.55,0.569444,0.5,0.497222,0.5,0.5,0.525,0.625,0.594444] area_under_roc_curve 0.5777777777777778 [0.725,0.55,0.725,0.5,0.583333,0.5,0.519444,0.575,0.575,0.525] area_under_roc_curve 0.5611111111111111 [0.725,0.547222,0.55,0.566667,0.522222,0.5,0.5,0.5,0.7,0.5] area_under_roc_curve 0.5611111111111111 [0.725,0.5,0.65,0.5,0.563889,0.5,0.525,0.5,0.625,0.522222] 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 0.1388888888888889 kappa 0.21111111111111108 kappa 0.1222222222222222 kappa 0.10555555555555556 kappa 0.09999999999999999 kappa 0.11666666666666664 kappa 0.1222222222222222 kappa 0.15555555555555553 kappa 0.1222222222222222 kappa 0.1222222222222222 kb_relative_information_score 37.90758896309541 kb_relative_information_score 51.50243634038421 kb_relative_information_score 34.77031649141357 kb_relative_information_score 31.633044019731404 kb_relative_information_score 30.58728652917077 kb_relative_information_score 33.724559000852736 kb_relative_information_score 34.77031649141354 kb_relative_information_score 41.04486143477745 kb_relative_information_score 34.770316491413475 kb_relative_information_score 34.7703164914134 mean_absolute_error 0.1549999999999996 mean_absolute_error 0.14199999999999965 mean_absolute_error 0.15799999999999959 mean_absolute_error 0.1609999999999996 mean_absolute_error 0.1619999999999996 mean_absolute_error 0.15899999999999959 mean_absolute_error 0.15799999999999959 mean_absolute_error 0.1519999999999996 mean_absolute_error 0.15799999999999959 mean_absolute_error 0.15799999999999959 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 0.225 predictive_accuracy 0.29 predictive_accuracy 0.21 predictive_accuracy 0.195 predictive_accuracy 0.19 predictive_accuracy 0.205 predictive_accuracy 0.21 predictive_accuracy 0.24 predictive_accuracy 0.21 predictive_accuracy 0.21 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 0.225 [0.3,0.15,0.5,0,1,0.05,0.05,0,0.2,0] recall 0.29 [0.45,0.1,0.55,0,1,0,0.05,0.35,0.35,0.05] recall 0.21 [0.4,0.2,1,0,0.1,0.05,0.05,0,0.3,0] recall 0.195 [0.3,0.05,0.15,0,1,0.05,0.05,0.1,0.15,0.1] recall 0.19 [0.3,0.15,0.05,1,0,0.05,0,0.05,0.3,0] recall 0.205 [0.5,0.1,0.15,0,1,0,0,0,0.25,0.05] recall 0.21 [0.5,0.1,1,0,0,0,0,0.05,0.25,0.2] recall 0.24 [0.45,0.1,0.45,0,1,0,0.05,0.15,0.15,0.05] recall 0.21 [0.45,0.1,0.1,1,0.05,0,0,0,0.4,0] recall 0.21 [0.45,0,0.3,0,1,0,0.05,0,0.25,0.05] relative_absolute_error 0.8611111111111098 relative_absolute_error 0.7888888888888879 relative_absolute_error 0.8777777777777764 relative_absolute_error 0.8944444444444432 relative_absolute_error 0.8999999999999989 relative_absolute_error 0.883333333333332 relative_absolute_error 0.8777777777777764 relative_absolute_error 0.8444444444444431 relative_absolute_error 0.8777777777777764 relative_absolute_error 0.8777777777777764 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 0.39370039370059007 root_mean_squared_error 0.376828873628335 root_mean_squared_error 0.3974921382870353 root_mean_squared_error 0.40124805295477706 root_mean_squared_error 0.40249223594996164 root_mean_squared_error 0.3987480407475372 root_mean_squared_error 0.3974921382870353 root_mean_squared_error 0.38987177379235805 root_mean_squared_error 0.3974921382870353 root_mean_squared_error 0.3974921382870353 root_relative_squared_error 1.3123346456686342 root_relative_squared_error 1.256096245427784 root_relative_squared_error 1.3249737942901183 root_relative_squared_error 1.3374935098492577 root_relative_squared_error 1.341640786499873 root_relative_squared_error 1.329160135825125 root_relative_squared_error 1.3249737942901183 root_relative_squared_error 1.2995725793078607 root_relative_squared_error 1.3249737942901183 root_relative_squared_error 1.3249737942901183 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 3524.4546320000154 usercpu_time_millis 3138.6343290000696 usercpu_time_millis 3244.4325510000454 usercpu_time_millis 3558.503777999931 usercpu_time_millis 3458.739010999807 usercpu_time_millis 3467.7003189999596 usercpu_time_millis 3308.352426000056 usercpu_time_millis 2620.180820999849 usercpu_time_millis 2640.366383000355 usercpu_time_millis 2829.572502999781 usercpu_time_millis_testing 44.23552999992353 usercpu_time_millis_testing 43.673759000057544 usercpu_time_millis_testing 53.17207000007329 usercpu_time_millis_testing 52.94965200005208 usercpu_time_millis_testing 52.94285599984505 usercpu_time_millis_testing 54.238746000009996 usercpu_time_millis_testing 44.49583099994925 usercpu_time_millis_testing 44.518706999951974 usercpu_time_millis_testing 44.3774980001308 usercpu_time_millis_testing 51.63499399986904 usercpu_time_millis_training 3480.219102000092 usercpu_time_millis_training 3094.960570000012 usercpu_time_millis_training 3191.260480999972 usercpu_time_millis_training 3505.554125999879 usercpu_time_millis_training 3405.796154999962 usercpu_time_millis_training 3413.4615729999496 usercpu_time_millis_training 3263.8565950001066 usercpu_time_millis_training 2575.662113999897 usercpu_time_millis_training 2595.9888850002244 usercpu_time_millis_training 2777.937508999912