8707233 1 Jan van Rijn 14 Supervised Classification 7707 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 6684652 axis 0 7660 categorical_features [] 7660 copy true 7660 fill_empty 0 7660 missing_values "NaN" 7660 strategy "median" 7660 strategy_nominal "most_frequent" 7660 verbose 0 7660 categorical_features [] 7661 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7661 handle_unknown "ignore" 7661 n_values "auto" 7661 sparse true 7661 threshold 0.0 7662 copy true 7663 with_mean false 7663 with_std true 7663 C 1051.4853085970883 7708 cache_size 200 7708 class_weight null 7708 coef0 0.06861523816814907 7708 decision_function_shape null 7708 degree 2 7708 gamma 5.885652038586523 7708 kernel "rbf" 7708 max_iter -1 7708 probability true 7708 random_state 21336 7708 shrinking true 7708 tol 0.01373381384500866 7708 verbose false 7708 openml-pimp openml-python Sklearn_0.18.1. 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18331330 description https://api.openml.org/data/download/18331330/description.xml -1 18331331 predictions https://api.openml.org/data/download/18331331/predictions.arff area_under_roc_curve 0.4962491666666667 [0.497944,0.497944,0.497889,0.490749,0.497944,0.492176,0.505276,0.492837,0.497722,0.492008] average_cost 0 kappa 0.001666666666666668 kb_relative_information_score 4.2782954139742975 mean_absolute_error 0.1799142650649443 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] predictive_accuracy 0.1015 prior_entropy 3.321928094887362 recall 0.1015 [0,0,0.3,0,0.3,0,0.02,0,0.3,0.095] relative_absolute_error 0.9995236948052151 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.29992455482262703 root_relative_squared_error 0.9997485160754082 total_cost 0 area_under_roc_curve 0.5050000000000001 [0.502778,0.502778,0.502778,0.502778,0.502778,0.502778,0.525,0.502778,0.502778,0.502778] area_under_roc_curve 0.501638888888889 [0.5,0.5,0.5,0.5,0.5,0.505556,0.527639,0.477639,0.5,0.505556] 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 0.48674999999999996 [0.491667,0.491667,0.491667,0.491667,0.491667,0.469722,0.508333,0.469722,0.491667,0.469722] area_under_roc_curve 0.49336111111111114 [0.494444,0.494444,0.494444,0.472361,0.494444,0.472361,0.505556,0.505556,0.494444,0.505556] 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 0.49722222222222223 [0.497222,0.497222,0.497222,0.502778,0.497222,0.502778,0.502778,0.502778,0.497222,0.475] area_under_roc_curve 0.5050000000000001 [0.502778,0.502778,0.502778,0.502778,0.502778,0.502778,0.525,0.502778,0.502778,0.502778] area_under_roc_curve 0.49722222222222223 [0.497222,0.497222,0.497222,0.475,0.497222,0.502778,0.502778,0.502778,0.497222,0.502778] area_under_roc_curve 0.5050000000000001 [0.502778,0.502778,0.502778,0.502778,0.502778,0.502778,0.525,0.502778,0.502778,0.502778] 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 0.005555555555555545 kappa 0.005555555555555545 kappa 0 kappa 0 kappa 0 kappa 0 kappa -0.00555555555555556 kappa 0.005555555555555545 kappa 0 kappa 0.005555555555555545 kb_relative_information_score 0.865828711138831 kb_relative_information_score 0.8167483703355698 kb_relative_information_score 0.17497516861646603 kb_relative_information_score -0.013791935000986522 kb_relative_information_score 0.08161523433393271 kb_relative_information_score 0.20165452338041068 kb_relative_information_score 0.16885727506379272 kb_relative_information_score 0.9111238257848585 kb_relative_information_score 0.19589492434473801 kb_relative_information_score 0.8753893159766499 mean_absolute_error 0.17960987570996795 mean_absolute_error 0.17969109416591436 mean_absolute_error 0.17999999999995986 mean_absolute_error 0.18029548878153115 mean_absolute_error 0.18018374938611767 mean_absolute_error 0.17999999999995983 mean_absolute_error 0.1800871504488031 mean_absolute_error 0.17957452022902232 mean_absolute_error 0.1800874922720825 mean_absolute_error 0.17961327965608576 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 0.105 predictive_accuracy 0.105 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.1 predictive_accuracy 0.095 predictive_accuracy 0.105 predictive_accuracy 0.1 predictive_accuracy 0.105 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 0.105 [0,0,1,0,0,0,0.05,0,0,0] recall 0.105 [0,0,1,0,0,0,0.05,0,0,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,1,0,0,0,0,0,0,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.1 [0,0,0,0,0,0,0,0,1,0] recall 0.095 [0,0,0,0,0,0,0,0,0,0.95] recall 0.105 [0,0,0,0,1,0,0.05,0,0,0] recall 0.1 [0,0,0,0,1,0,0,0,0,0] recall 0.105 [0,0,0,0,1,0,0.05,0,0,0] relative_absolute_error 0.9978326428331564 relative_absolute_error 0.9982838564773031 relative_absolute_error 0.9999999999997781 relative_absolute_error 1.0016416043418408 relative_absolute_error 1.001020829922877 relative_absolute_error 0.9999999999997778 relative_absolute_error 1.0004841691600184 relative_absolute_error 0.9976362234945695 relative_absolute_error 1.0004860681782375 relative_absolute_error 0.997851553644922 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 0.29949039461778126 root_mean_squared_error 0.29964286413086216 root_mean_squared_error 0.3000004915818759 root_mean_squared_error 0.3005216011570981 root_mean_squared_error 0.30032527385756463 root_mean_squared_error 0.3000005024263582 root_mean_squared_error 0.30015470510516634 root_mean_squared_error 0.2994580995700468 root_mean_squared_error 0.3001557381733271 root_mean_squared_error 0.2994937003082296 root_relative_squared_error 0.9983013153926048 root_relative_squared_error 0.9988095471028745 root_relative_squared_error 1.0000016386062538 root_relative_squared_error 1.0017386705236608 root_relative_squared_error 1.0010842461918827 root_relative_squared_error 1.000001674754528 root_relative_squared_error 1.0005156836838884 root_relative_squared_error 0.9981936652334898 root_relative_squared_error 1.0005191272444243 root_relative_squared_error 0.9983123343607658 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 6119.216269005847 usercpu_time_millis 5716.52512599394 usercpu_time_millis 5972.954740005662 usercpu_time_millis 5908.105557005911 usercpu_time_millis 6092.737847000535 usercpu_time_millis 6008.404649008298 usercpu_time_millis 6257.643643999472 usercpu_time_millis 5849.8027750029 usercpu_time_millis 5898.269402998267 usercpu_time_millis 5782.249972995487 usercpu_time_millis_testing 90.79959600057919 usercpu_time_millis_testing 89.50357199501013 usercpu_time_millis_testing 92.29484100069385 usercpu_time_millis_testing 97.204892001173 usercpu_time_millis_testing 91.66076599649386 usercpu_time_millis_testing 116.0392480014707 usercpu_time_millis_testing 91.69199299503816 usercpu_time_millis_testing 91.00332199886907 usercpu_time_millis_testing 91.7101930026547 usercpu_time_millis_testing 94.64141799981007 usercpu_time_millis_training 6028.4166730052675 usercpu_time_millis_training 5627.021553998929 usercpu_time_millis_training 5880.659899004968 usercpu_time_millis_training 5810.900665004738 usercpu_time_millis_training 6001.077081004041 usercpu_time_millis_training 5892.365401006828 usercpu_time_millis_training 6165.951651004434 usercpu_time_millis_training 5758.7994530040305 usercpu_time_millis_training 5806.559209995612 usercpu_time_millis_training 5687.608554995677