7350821 1 Jan van Rijn 59 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) 5382716 axis 0 6947 categorical_features [] 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 [] 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 46.52760261165423 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.7660764238356021 6953 decision_function_shape null 6953 degree 1 6953 gamma 0.027594824112458047 6953 kernel "sigmoid" 6953 max_iter -1 6953 probability true 6953 random_state 56373 6953 shrinking false 6953 tol 0.00022970492889104927 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 61 iris https://www.openml.org/data/download/61/dataset_61_iris.arff -1 15629263 description https://api.openml.org/data/download/15629263/description.xml -1 15629264 predictions https://api.openml.org/data/download/15629264/predictions.arff area_under_roc_curve 0.8978666666666667 [0.9132,0.8996,0.8808] average_cost 0 f_measure 0.6868491639133841 [0.803419,0.770642,0.486486] kappa 0.5700000000000001 kb_relative_information_score 68.3288449498543 mean_absolute_error 0.28072614180231603 mean_prior_absolute_error 0.44444444444444337 number_of_instances 150 [50,50,50] precision 0.7211189813643646 [0.701493,0.711864,0.75] predictive_accuracy 0.7133333333333333 prior_entropy 1.584962500721156 recall 0.7133333333333334 [0.94,0.84,0.36] relative_absolute_error 0.6316338190552127 root_mean_prior_squared_error 0.4714045207910311 root_mean_squared_error 0.3613125494194533 root_relative_squared_error 0.7664596614668859 total_cost 0 area_under_roc_curve 0.9333333333333333 [0.9,0.98,0.92] area_under_roc_curve 0.9133333333333334 [1,0.86,0.88] area_under_roc_curve 0.88 [0.74,1,0.9] area_under_roc_curve 0.9133333333333333 [0.86,0.94,0.94] area_under_roc_curve 0.9 [1,0.78,0.92] area_under_roc_curve 0.7733333333333334 [0.88,0.7,0.74] area_under_roc_curve 0.9400000000000001 [0.9,0.96,0.96] area_under_roc_curve 0.8733333333333333 [0.98,0.82,0.82] area_under_roc_curve 0.94 [0.96,0.96,0.9] area_under_roc_curve 0.9000000000000001 [0.9,0.92,0.88] 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 0.7106782106782106 [0.727273,0.833333,0.571429] f_measure 0.6511784511784512 [0.909091,0.6,0.444444] f_measure 0.7193732193732194 [0.769231,0.888889,0.5] f_measure 0.722222222222222 [0.833333,0.666667,0.666667] f_measure 0.5909090909090909 [0.727273,0.545455,0.5] f_measure 0.7712842712842712 [0.833333,0.909091,0.571429] f_measure 0.712121212121212 [0.909091,0.727273,0.5] f_measure 0.7135531135531136 [0.8,0.769231,0.571429] f_measure 0.6705516705516705 [0.909091,0.769231,0.333333] kappa 0.5999999999999999 kappa 0.49999999999999994 kappa 0.49999999999999994 kappa 0.5999999999999999 kappa 0.5999999999999999 kappa 0.39999999999999997 kappa 0.7000000000000001 kappa 0.5999999999999999 kappa 0.5999999999999999 kappa 0.5999999999999999 kb_relative_information_score 7.594495470232146 kb_relative_information_score 6.070236853359001 kb_relative_information_score 6.474452146173004 kb_relative_information_score 7.516652776530265 kb_relative_information_score 6.4821404554995965 kb_relative_information_score 5.38790556309672 kb_relative_information_score 7.930852906661998 kb_relative_information_score 6.969408512702296 kb_relative_information_score 7.155596034925488 kb_relative_information_score 6.747104230673806 mean_absolute_error 0.2594216514999987 mean_absolute_error 0.30047599081434023 mean_absolute_error 0.287500042173298 mean_absolute_error 0.2553864265821561 mean_absolute_error 0.2970618217675924 mean_absolute_error 0.3240190120019889 mean_absolute_error 0.24896170263585132 mean_absolute_error 0.2804670640107835 mean_absolute_error 0.272407075742986 mean_absolute_error 0.2815606307941646 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 mean_prior_absolute_error 0.4444444444444446 number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] number_of_instances 15 [5,5,5] precision 0.7936507936507937 [0.666667,0.714286,1] precision 0.6444444444444445 [0.833333,0.6,0.5] precision 0.7638888888888888 [0.625,1,0.666667] precision 0.738095238095238 [0.714286,0.75,0.75] precision 0.611111111111111 [0.666667,0.5,0.666667] precision 0.8492063492063493 [0.714286,0.833333,1] precision 0.7222222222222221 [0.833333,0.666667,0.666667] precision 0.8083333333333333 [0.8,0.625,1] precision 0.8194444444444445 [0.833333,0.625,1] predictive_accuracy 0.7333333333333333 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.6 predictive_accuracy 0.8 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 prior_entropy 1.584962500721156 recall 0.7333333333333333 [0.8,1,0.4] recall 0.6666666666666666 [1,0.6,0.4] recall 0.6666666666666666 [1,1,0] recall 0.7333333333333333 [1,0.8,0.4] recall 0.7333333333333333 [1,0.6,0.6] recall 0.6 [0.8,0.6,0.4] recall 0.8 [1,1,0.4] recall 0.7333333333333333 [1,0.8,0.4] recall 0.7333333333333333 [0.8,1,0.4] recall 0.7333333333333333 [1,1,0.2] relative_absolute_error 0.5836987158749969 relative_absolute_error 0.6760709793322652 relative_absolute_error 0.6468750948899202 relative_absolute_error 0.5746194598098511 relative_absolute_error 0.6683890989770827 relative_absolute_error 0.7290427770044748 relative_absolute_error 0.5601638309306654 relative_absolute_error 0.6310508940242626 relative_absolute_error 0.6129159204217183 relative_absolute_error 0.6335114192868702 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_prior_squared_error 0.47140452079103173 root_mean_squared_error 0.33836245776916746 root_mean_squared_error 0.3678332367825641 root_mean_squared_error 0.37579030511202455 root_mean_squared_error 0.34142042165062525 root_mean_squared_error 0.36063314304964256 root_mean_squared_error 0.4059685446669019 root_mean_squared_error 0.32613475665177083 root_mean_squared_error 0.3738749588206027 root_mean_squared_error 0.35318991179081044 root_mean_squared_error 0.36350334494884085 root_relative_squared_error 0.7177751651625753 root_relative_squared_error 0.7802921282242441 root_relative_squared_error 0.7971716191466227 root_relative_squared_error 0.7242620861541823 root_relative_squared_error 0.7650184229130614 root_relative_squared_error 0.8611893326472003 root_relative_squared_error 0.6918362940272749 root_relative_squared_error 0.7931085560936679 root_relative_squared_error 0.7492289450218819 root_relative_squared_error 0.7711070405919542 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 15.53615500597516 usercpu_time_millis 14.106082999205682 usercpu_time_millis 12.455905991373584 usercpu_time_millis 11.579803998756688 usercpu_time_millis 11.065443999541458 usercpu_time_millis 10.541913004999515 usercpu_time_millis 9.994558000471443 usercpu_time_millis 10.208017003606074 usercpu_time_millis 10.270508995745331 usercpu_time_millis 10.233732005872298 usercpu_time_millis_testing 1.4960250045987777 usercpu_time_millis_testing 1.3192340047680773 usercpu_time_millis_testing 1.2291859966353513 usercpu_time_millis_testing 1.1498219973873347 usercpu_time_millis_testing 1.0564530020928942 usercpu_time_millis_testing 1.018522001686506 usercpu_time_millis_testing 0.9945880010491237 usercpu_time_millis_testing 1.0105440014740452 usercpu_time_millis_testing 1.004460995318368 usercpu_time_millis_testing 1.0160240053664893 usercpu_time_millis_training 14.040130001376383 usercpu_time_millis_training 12.786848994437605 usercpu_time_millis_training 11.226719994738232 usercpu_time_millis_training 10.429982001369353 usercpu_time_millis_training 10.008990997448564 usercpu_time_millis_training 9.523391003313009 usercpu_time_millis_training 8.99996999942232 usercpu_time_millis_training 9.197473002132028 usercpu_time_millis_training 9.266048000426963 usercpu_time_millis_training 9.217708000505809