8906192 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) 6843695 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 964.7661419192503 7650 cache_size 200 7650 class_weight null 7650 coef0 0.7457017733548695 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.3350926436808178 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.009611852406203675 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 18728120 description https://api.openml.org/data/download/18728120/description.xml -1 18728121 predictions https://api.openml.org/data/download/18728121/predictions.arff area_under_roc_curve 0.5974999999999999 [0.765,0.568611,0.691944,0.519167,0.591667,0.51,0.512778,0.604167,0.6775,0.534167] average_cost 0 f_measure 0.2947525355107772 [0.69281,0.240343,0.551971,0.150659,0.21745,0.039216,0.056075,0.342857,0.523985,0.132159] kappa 0.195 kb_relative_information_score 484.69739617758484 mean_absolute_error 0.14489999999999606 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.6987056027047951 [1,0.848485,0.974684,0.120846,0.125581,1,0.428571,0.933333,1,0.555556] predictive_accuracy 0.2755 prior_entropy 3.321928094887362 recall 0.2755 [0.53,0.14,0.385,0.2,0.81,0.02,0.03,0.21,0.355,0.075] relative_absolute_error 0.8049999999999532 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.3806573262134804 root_relative_squared_error 1.2688577540449153 total_cost 0 area_under_roc_curve 0.5805555555555556 [0.775,0.591667,0.675,0.5,0.588889,0.525,0.525,0.525,0.6,0.5] area_under_roc_curve 0.6277777777777778 [0.825,0.547222,0.75,0.5,0.636111,0.5,0.522222,0.697222,0.75,0.55] area_under_roc_curve 0.6083333333333334 [0.75,0.622222,0.672222,0.5,0.616667,0.525,0.525,0.625,0.725,0.522222] area_under_roc_curve 0.586111111111111 [0.725,0.525,0.672222,0.5,0.6,0.525,0.525,0.572222,0.65,0.566667] area_under_roc_curve 0.5777777777777777 [0.7,0.575,0.6,0.591667,0.522222,0.525,0.497222,0.597222,0.675,0.494444] area_under_roc_curve 0.6 [0.8,0.6,0.7,0.5,0.608333,0.5,0.494444,0.6,0.675,0.522222] area_under_roc_curve 0.6138888888888888 [0.775,0.575,0.8,0.5,0.619444,0.5,0.5,0.6,0.675,0.594444] area_under_roc_curve 0.6055555555555556 [0.8,0.6,0.7,0.5,0.611111,0.5,0.519444,0.7,0.6,0.525] area_under_roc_curve 0.5944444444444444 [0.75,0.55,0.675,0.6,0.522222,0.5,0.497222,0.575,0.75,0.525] area_under_roc_curve 0.5805555555555556 [0.75,0.5,0.675,0.5,0.591667,0.5,0.522222,0.55,0.675,0.541667] 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 f_measure 0.2404200917960509 [0.571429,0.26087,0.333333,0.213904,0.090909,0.095238,0,0.32,0.518519,0] kappa 0.1611111111111111 kappa 0.25555555555555554 kappa 0.21666666666666665 kappa 0.17222222222222222 kappa 0.15555555555555553 kappa 0.2 kappa 0.22777777777777775 kappa 0.21111111111111108 kappa 0.18888888888888888 kappa 0.1611111111111111 kb_relative_information_score 42.090618925338205 kb_relative_information_score 59.86849626486971 kb_relative_information_score 52.548193830944975 kb_relative_information_score 44.182133906459505 kb_relative_information_score 41.04486143477754 kb_relative_information_score 49.410921359262936 kb_relative_information_score 54.63970881206629 kb_relative_information_score 51.502436340384314 kb_relative_information_score 47.31940637814159 kb_relative_information_score 42.090618925338134 mean_absolute_error 0.15099999999999963 mean_absolute_error 0.13399999999999967 mean_absolute_error 0.14099999999999965 mean_absolute_error 0.14899999999999963 mean_absolute_error 0.1519999999999996 mean_absolute_error 0.14399999999999966 mean_absolute_error 0.13899999999999968 mean_absolute_error 0.14199999999999965 mean_absolute_error 0.14599999999999963 mean_absolute_error 0.15099999999999963 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] precision 0.6419760479041916 [1,1,1,0.11976,0.5,1,0,0.8,1,0] predictive_accuracy 0.245 predictive_accuracy 0.33 predictive_accuracy 0.295 predictive_accuracy 0.255 predictive_accuracy 0.24 predictive_accuracy 0.28 predictive_accuracy 0.305 predictive_accuracy 0.29 predictive_accuracy 0.27 predictive_accuracy 0.245 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 0.245 [0.55,0.2,0.35,0,1,0.05,0.05,0.05,0.2,0] recall 0.33 [0.65,0.1,0.5,0,1,0,0.05,0.4,0.5,0.1] recall 0.295 [0.5,0.25,0.35,0,1,0.05,0.05,0.25,0.45,0.05] recall 0.255 [0.45,0.05,0.35,0,1,0.05,0.05,0.15,0.3,0.15] recall 0.24 [0.4,0.15,0.2,1,0.05,0.05,0,0.2,0.35,0] recall 0.28 [0.6,0.2,0.4,0,1,0,0,0.2,0.35,0.05] recall 0.305 [0.55,0.15,0.6,0,1,0,0,0.2,0.35,0.2] recall 0.29 [0.6,0.2,0.4,0,1,0,0.05,0.4,0.2,0.05] recall 0.27 [0.5,0.1,0.35,1,0.05,0,0,0.15,0.5,0.05] recall 0.245 [0.5,0,0.35,0,1,0,0.05,0.1,0.35,0.1] relative_absolute_error 0.8388888888888879 relative_absolute_error 0.7444444444444435 relative_absolute_error 0.7833333333333323 relative_absolute_error 0.8277777777777767 relative_absolute_error 0.8444444444444431 relative_absolute_error 0.799999999999999 relative_absolute_error 0.7722222222222213 relative_absolute_error 0.7888888888888879 relative_absolute_error 0.8111111111111099 relative_absolute_error 0.8388888888888879 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 0.38858718455450847 root_mean_squared_error 0.36606010435446207 root_mean_squared_error 0.3754996671103713 root_mean_squared_error 0.38600518131237516 root_mean_squared_error 0.38987177379235805 root_mean_squared_error 0.37947331922020505 root_mean_squared_error 0.37282703764614455 root_mean_squared_error 0.376828873628335 root_mean_squared_error 0.3820994634908555 root_mean_squared_error 0.38858718455450847 root_relative_squared_error 1.2952906151816959 root_relative_squared_error 1.2202003478482077 root_relative_squared_error 1.2516655570345718 root_relative_squared_error 1.286683937707918 root_relative_squared_error 1.2995725793078607 root_relative_squared_error 1.2649110640673509 root_relative_squared_error 1.2427567921538158 root_relative_squared_error 1.256096245427784 root_relative_squared_error 1.2736648783028524 root_relative_squared_error 1.2952906151816959 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 3644.9183550003 usercpu_time_millis 3833.495873999709 usercpu_time_millis 3589.3192880012066 usercpu_time_millis 3733.8042619994667 usercpu_time_millis 3743.8410460008527 usercpu_time_millis 3661.190728999827 usercpu_time_millis 3486.8042629996125 usercpu_time_millis 3171.8795030001274 usercpu_time_millis 3093.8380570005393 usercpu_time_millis 2974.7539749996577 usercpu_time_millis_testing 54.40291000013531 usercpu_time_millis_testing 45.45915499966213 usercpu_time_millis_testing 53.871153000727645 usercpu_time_millis_testing 54.489299999659124 usercpu_time_millis_testing 54.55235200042807 usercpu_time_millis_testing 53.47334999987652 usercpu_time_millis_testing 54.81313400014187 usercpu_time_millis_testing 45.345192000240786 usercpu_time_millis_testing 45.17597999983991 usercpu_time_millis_testing 45.250455000314105 usercpu_time_millis_training 3590.5154450001646 usercpu_time_millis_training 3788.036719000047 usercpu_time_millis_training 3535.448135000479 usercpu_time_millis_training 3679.3149619998076 usercpu_time_millis_training 3689.2886940004246 usercpu_time_millis_training 3607.7173789999506 usercpu_time_millis_training 3431.9911289994707 usercpu_time_millis_training 3126.5343109998867 usercpu_time_millis_training 3048.6620770006994 usercpu_time_millis_training 2929.5035199993436