8906787 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) 6844218 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 32707.67709082697 7650 cache_size 200 7650 class_weight null 7650 coef0 0.9998670840983925 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 7.986744233682437 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.09987765483333329 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 18729306 description https://api.openml.org/data/download/18729306/description.xml -1 18729307 predictions https://api.openml.org/data/download/18729307/predictions.arff area_under_roc_curve 0.5269444444444444 [0.505,0.505,0.648889,0.544167,0.531389,0.505,0.51,0.505,0.51,0.505] average_cost 0 f_measure 0.07630714141098965 [0.019802,0.019802,0.240385,0.180974,0.164271,0.019802,0.039216,0.019802,0.039216,0.019802] kappa 0.053888888888888875 kb_relative_information_score 219.07499357517085 mean_absolute_error 0.17029999999999462 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7444816012988743 [1,1,0.136612,0.168831,0.139373,1,1,1,1,1] predictive_accuracy 0.1485 prior_entropy 3.321928094887362 recall 0.1485 [0.01,0.01,1,0.195,0.2,0.01,0.02,0.01,0.02,0.01] relative_absolute_error 0.9461111111110521 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.41267420563926044 root_relative_squared_error 1.3755806854641803 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 0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5666666666666668 [0.525,0.5,0.902778,0.5,0.663889,0.525,0.5,0.525,0.5,0.525] area_under_roc_curve 0.5583333333333332 [0.5,0.5,0.847222,0.686111,0.5,0.525,0.5,0.5,0.525,0.5] area_under_roc_curve 0.5555555555555556 [0.5,0.5,0.905556,0.5,0.65,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.5,0.5,0.525,0.525] 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 0.5583333333333333 [0.5,0.5,0.802778,0.755556,0.5,0.5,0.5,0.5,0.525,0.5] 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 kappa 0.13333333333333333 kappa 0.11666666666666664 kappa 0.11111111111111112 kappa 0.016666666666666666 kappa 0.005555555555555545 kappa 0.11666666666666664 kappa 0.011111111111111105 kb_relative_information_score 14.900924170760396 kb_relative_information_score 13.855166680199693 kb_relative_information_score 11.763651699078343 kb_relative_information_score 36.86183147253479 kb_relative_information_score 33.72455900085284 kb_relative_information_score 32.678801510292026 kb_relative_information_score 14.900924170760383 kb_relative_information_score 12.809409189639018 kb_relative_information_score 33.724559000852786 kb_relative_information_score 13.855166680199693 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17799999999999983 mean_absolute_error 0.17999999999999985 mean_absolute_error 0.1559999999999996 mean_absolute_error 0.15899999999999959 mean_absolute_error 0.1599999999999996 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17899999999999985 mean_absolute_error 0.15899999999999959 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 0.1 predictive_accuracy 0.22 predictive_accuracy 0.205 predictive_accuracy 0.2 predictive_accuracy 0.115 predictive_accuracy 0.105 predictive_accuracy 0.205 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 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.22 [0.05,0,1,0,1,0.05,0,0.05,0,0.05] recall 0.205 [0,0,1,0.95,0,0.05,0,0,0.05,0] recall 0.2 [0,0,1,0,1,0,0,0,0,0] recall 0.115 [0,0.05,1,0,0,0,0,0,0.05,0.05] recall 0.105 [0,0,1,0,0,0,0.05,0,0,0] recall 0.205 [0,0,1,1,0,0,0,0,0.05,0] 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 1.0000000000000002 relative_absolute_error 0.8666666666666655 relative_absolute_error 0.883333333333332 relative_absolute_error 0.8888888888888876 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9944444444444447 relative_absolute_error 0.883333333333332 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 0.42426406871192834 root_mean_squared_error 0.3949683531626295 root_mean_squared_error 0.3987480407475372 root_mean_squared_error 0.39999999999999947 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.42308391602612344 root_mean_squared_error 0.3987480407475372 root_mean_squared_error 0.4219004621945795 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4063348739819324 root_relative_squared_error 1.4142135623730951 root_relative_squared_error 1.3165611772087658 root_relative_squared_error 1.329160135825125 root_relative_squared_error 1.3333333333333324 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.4102797200870791 root_relative_squared_error 1.329160135825125 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 3697.783636999702 usercpu_time_millis 3989.335218000633 usercpu_time_millis 3230.770114999359 usercpu_time_millis 3145.8619089999047 usercpu_time_millis 3222.8551710004467 usercpu_time_millis 3223.9928880007938 usercpu_time_millis 4040.366946999711 usercpu_time_millis 4061.441126000318 usercpu_time_millis 3911.7542009998942 usercpu_time_millis 3916.9954700000744 usercpu_time_millis_testing 54.061114999967685 usercpu_time_millis_testing 55.000445000587206 usercpu_time_millis_testing 45.90613999971538 usercpu_time_millis_testing 45.153136999942944 usercpu_time_millis_testing 45.87798200009274 usercpu_time_millis_testing 54.287017000206106 usercpu_time_millis_testing 53.89123900022241 usercpu_time_millis_testing 58.72535300022719 usercpu_time_millis_testing 54.512542000338726 usercpu_time_millis_testing 56.7492130003302 usercpu_time_millis_training 3643.7225219997345 usercpu_time_millis_training 3934.334773000046 usercpu_time_millis_training 3184.8639749996437 usercpu_time_millis_training 3100.7087719999618 usercpu_time_millis_training 3176.977189000354 usercpu_time_millis_training 3169.7058710005876 usercpu_time_millis_training 3986.475707999489 usercpu_time_millis_training 4002.715773000091 usercpu_time_millis_training 3857.2416589995555 usercpu_time_millis_training 3860.246256999744