7459711 1 Jan van Rijn 2 Supervised Classification predictive_accuracy 6952 sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1) 5491604 axis 0 6947 categorical_features [0, 1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 35, 36, 37] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "most_frequent" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0, 1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 35, 36, 37] 6948 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 6948 handle_unknown "ignore" 6948 n_values "auto" 6948 sparse true 6948 threshold 0.0 6949 C 20468.721525700657 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.4299065722351536 6953 decision_function_shape null 6953 degree 3 6953 gamma 1.592641091619402 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 45798 6953 shrinking true 6953 tol 6.99510442138577e-05 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 2 anneal https://www.openml.org/data/download/1666876/phpFsFYVN -1 15846119 description https://api.openml.org/data/download/15846119/description.xml -1 15846122 predictions https://api.openml.org/data/download/15846122/predictions.arff area_under_roc_curve 0.49493062982817426 [0.420154,0.512061,0.494535,0.0,0.476076,0.505842] average_cost 0 kappa 0 kb_relative_information_score 3.7810830836094307 mean_absolute_error 0.1334515249460444 mean_prior_absolute_error 0.1343053392987372 number_of_instances 898 [8,99,684,0,67,40] predictive_accuracy 0.7616926503340757 prior_entropy 1.2148750119609601 recall 0.7616926503340757 [0,0,1,0.0,0,0] relative_absolute_error 0.9936427370858754 root_mean_prior_squared_error 0.25821801699423275 root_mean_squared_error 0.2582184523644369 root_relative_squared_error 1.000001686056648 total_cost 0 area_under_roc_curve 0.49926108527553775 [0.595506,0.604938,0.498965,0.0,0.380379,0.450581] area_under_roc_curve 0.527368091242536 [0.629213,0.5925,0.52795,0.0,0.525794,0.331395] area_under_roc_curve 0.53212742965258 [0.617978,0.52375,0.533471,0.0,0.539683,0.497093] area_under_roc_curve 0.5742503928160121 [0.61236,0.570625,0.577295,0.0,0.510913,0.616279] area_under_roc_curve 0.5239685765176295 [0.61236,0.57125,0.525067,0.0,0.380379,0.616279] area_under_roc_curve 0.5328986377289728 [0.646067,0.6625,0.535094,0.0,0.242685,0.651163] area_under_roc_curve 0.5230391505685903 [0.61236,0.51625,0.524064,0.0,0.545611,0.460756] area_under_roc_curve 0.4861012510979376 [0.578652,0.5875,0.485294,0.0,0.281411,0.581395] area_under_roc_curve 0.5281167210510861 [0.0,0.520253,0.529412,0.0,0.47561,0.617647] area_under_roc_curve 0.4948779508334375 [0.0,0.506329,0.492647,0.0,0.493902,0.505882] 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 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kappa 0 kb_relative_information_score 0.36511388251795956 kb_relative_information_score 0.3487651530572201 kb_relative_information_score 0.3515071184944904 kb_relative_information_score 0.34878882640473097 kb_relative_information_score 0.42579100610726184 kb_relative_information_score 0.44870242549279843 kb_relative_information_score 0.42551505341251394 kb_relative_information_score 0.42575681957753886 kb_relative_information_score 0.32321745769407356 kb_relative_information_score 0.31792534085085933 mean_absolute_error 0.13259024625852892 mean_absolute_error 0.13246658504019534 mean_absolute_error 0.132462052315514 mean_absolute_error 0.13247851009956652 mean_absolute_error 0.1347396518102438 mean_absolute_error 0.13468630766802905 mean_absolute_error 0.134740307618717 mean_absolute_error 0.1347397405645358 mean_absolute_error 0.1327924011801908 mean_absolute_error 0.13280493901944176 mean_prior_absolute_error 0.13334152736807592 mean_prior_absolute_error 0.1332104228121926 mean_prior_absolute_error 0.1332104228121926 mean_prior_absolute_error 0.1332104228121926 mean_prior_absolute_error 0.1357382825303178 mean_prior_absolute_error 0.1357382825303178 mean_prior_absolute_error 0.1357382825303178 mean_prior_absolute_error 0.1357382825303178 mean_prior_absolute_error 0.1335554008816412 mean_prior_absolute_error 0.1335554008816412 number_of_instances 90 [1,9,69,0,7,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,69,0,6,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 90 [1,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] number_of_instances 89 [0,10,68,0,7,4] predictive_accuracy 0.7666666666666667 predictive_accuracy 0.7666666666666667 predictive_accuracy 0.7666666666666667 predictive_accuracy 0.7666666666666667 predictive_accuracy 0.7555555555555555 predictive_accuracy 0.7555555555555555 predictive_accuracy 0.7555555555555555 predictive_accuracy 0.7555555555555555 predictive_accuracy 0.7640449438202248 predictive_accuracy 0.7640449438202248 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 prior_entropy 1.2148750119609601 recall 0.7666666666666667 [0,0,1,0.0,0,0] recall 0.7666666666666667 [0,0,1,0.0,0,0] recall 0.7666666666666667 [0,0,1,0.0,0,0] recall 0.7666666666666667 [0,0,1,0.0,0,0] recall 0.7555555555555555 [0,0,1,0.0,0,0] recall 0.7555555555555555 [0,0,1,0.0,0,0] recall 0.7555555555555555 [0,0,1,0.0,0,0] recall 0.7555555555555555 [0,0,1,0.0,0,0] recall 0.7640449438202247 [0.0,0,1,0.0,0,0] recall 0.7640449438202247 [0.0,0,1,0.0,0,0] relative_absolute_error 0.994365737933441 relative_absolute_error 0.9944160692812605 relative_absolute_error 0.9943820424792608 relative_absolute_error 0.9945055897490995 relative_absolute_error 0.9926429692386085 relative_absolute_error 0.9922499766264997 relative_absolute_error 0.9926478006572839 relative_absolute_error 0.992643623101987 relative_absolute_error 0.9942870172496687 relative_absolute_error 0.9943808946905525 root_mean_prior_squared_error 0.25634494800907004 root_mean_prior_squared_error 0.2560891013180559 root_mean_prior_squared_error 0.2560891013180559 root_mean_prior_squared_error 0.2560891013180559 root_mean_prior_squared_error 0.2609779445317453 root_mean_prior_squared_error 0.2609779445317453 root_mean_prior_squared_error 0.2609779445317453 root_mean_prior_squared_error 0.2609779445317453 root_mean_prior_squared_error 0.25676176873385587 root_mean_prior_squared_error 0.25676176873385587 root_mean_squared_error 0.2563361252065023 root_mean_squared_error 0.2560793751484669 root_mean_squared_error 0.2560760877346415 root_mean_squared_error 0.25607894957611443 root_mean_squared_error 0.2609912841370854 root_mean_squared_error 0.26099162491277317 root_mean_squared_error 0.26099152996551195 root_mean_squared_error 0.26099132847096285 root_mean_squared_error 0.2567568388608726 root_mean_squared_error 0.25675770286809846 root_relative_squared_error 0.9999655823037034 root_relative_squared_error 0.9999620203689303 root_relative_squared_error 0.9999491833766162 root_relative_squared_error 0.9999603585553261 root_relative_squared_error 1.00005111391832 root_relative_squared_error 1.0000524196826381 root_relative_squared_error 1.0000520558692845 root_relative_squared_error 1.0000512837942745 root_relative_squared_error 0.9999807998168591 root_relative_squared_error 0.9999841648319473 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 165.84163699999976 usercpu_time_millis 160.15084899999897 usercpu_time_millis 157.8991119999973 usercpu_time_millis 158.07523599999843 usercpu_time_millis 127.17335900000037 usercpu_time_millis 123.54061299999941 usercpu_time_millis 122.57276200000078 usercpu_time_millis 140.76372200000088 usercpu_time_millis 143.39479099999863 usercpu_time_millis 141.4770569999995 usercpu_time_millis_testing 10.964290000000432 usercpu_time_millis_testing 10.854563000000539 usercpu_time_millis_testing 10.932880999998673 usercpu_time_millis_testing 10.831145999999237 usercpu_time_millis_testing 8.460354000000336 usercpu_time_millis_testing 8.682061000000019 usercpu_time_millis_testing 8.330418999999978 usercpu_time_millis_testing 9.800164999999694 usercpu_time_millis_testing 10.35200699999983 usercpu_time_millis_testing 9.135314999999977 usercpu_time_millis_training 154.87734699999933 usercpu_time_millis_training 149.29628599999845 usercpu_time_millis_training 146.96623099999863 usercpu_time_millis_training 147.24408999999918 usercpu_time_millis_training 118.71300500000004 usercpu_time_millis_training 114.85855199999939 usercpu_time_millis_training 114.2423430000008 usercpu_time_millis_training 130.96355700000117 usercpu_time_millis_training 133.0427839999988 usercpu_time_millis_training 132.3417419999995