7337760 1 Jan van Rijn 3950 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) 5369655 axis 0 6947 categorical_features [0] 6947 copy true 6947 fill_empty 0 6947 missing_values "NaN" 6947 strategy "median" 6947 strategy_nominal "most_frequent" 6947 verbose 0 6947 categorical_features [0] 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 987.0073283215144 6953 cache_size 200 6953 class_weight null 6953 coef0 -0.5009768269339256 6953 decision_function_shape null 6953 degree 3 6953 gamma 0.5892569914396497 6953 kernel "rbf" 6953 max_iter -1 6953 probability true 6953 random_state 55898 6953 shrinking false 6953 tol 0.009485363283728926 6953 verbose false 6953 openml-pimp openml-python Sklearn_0.18.1. 1116 musk https://www.openml.org/data/download/53999/musk.arff -1 15603219 description https://api.openml.org/data/download/15603219/description.xml -1 15603220 predictions https://api.openml.org/data/download/15603220/predictions.arff area_under_roc_curve 0.6207949890386982 [0.620795,0.620795] average_cost 0 f_measure 0.7884132996459376 [0.919288,0.070209] kappa 0.06003662723574248 kb_relative_information_score 261.5865443686291 mean_absolute_error 0.2511159085971447 mean_prior_absolute_error 0.26083092213436454 number_of_instances 6598 [5581,1017] precision 0.8736556721704982 [0.850633,1] predictive_accuracy 0.8514701424674144 prior_entropy 0.6203559250859288 recall 0.8514701424674144 [1,0.036382] relative_absolute_error 0.9627535973966491 root_mean_prior_squared_error 0.36108063272361846 root_mean_squared_error 0.35266762231858567 root_relative_squared_error 0.9767004662045323 total_cost 0 area_under_roc_curve 0.7528383428682761 [0.752838,0.752838] area_under_roc_curve 0.7217741935483871 [0.721774,0.721774] area_under_roc_curve 0.714333403612341 [0.714333,0.714333] area_under_roc_curve 0.7596457938013915 [0.759646,0.759646] area_under_roc_curve 0.7620967741935484 [0.762097,0.762097] area_under_roc_curve 0.7459677419354839 [0.745968,0.745968] area_under_roc_curve 0.7476017288635884 [0.747602,0.747602] area_under_roc_curve 0.7529605031976948 [0.752961,0.752961] area_under_roc_curve 0.7488910181340714 [0.748891,0.748891] area_under_roc_curve 0.7319990063522481 [0.731999,0.731999] 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 0.7804325491952266 [0.917898,0.019608] f_measure 0.7853968253968253 [0.918519,0.057143] f_measure 0.7888691396260324 [0.919275,0.075472] f_measure 0.7888691396260324 [0.919275,0.075472] f_measure 0.7853968253968253 [0.918519,0.057143] f_measure 0.7888691396260324 [0.919275,0.075472] f_measure 0.7818710894368788 [0.917763,0.038462] f_measure 0.7989805707894482 [0.921552,0.12844] f_measure 0.7907035489450075 [0.920033,0.07619] f_measure 0.7941278939071506 [0.920792,0.09434] kappa 0.016657230549182066 kappa 0.048742138364779405 kappa 0.0645609163484904 kappa 0.0645609163484904 kappa 0.048742138364779405 kappa 0.0645609163484904 kappa 0.032711924023918544 kappa 0.11078965282505089 kappa 0.06527556406919464 kappa 0.0810528150601362 kb_relative_information_score 19.440592900738284 kb_relative_information_score 25.84660222944397 kb_relative_information_score 25.575848180859666 kb_relative_information_score 34.11918482324097 kb_relative_information_score 20.637301805107427 kb_relative_information_score 30.23917580247426 kb_relative_information_score 23.991005458670994 kb_relative_information_score 39.71491000769212 kb_relative_information_score 19.69284515223045 kb_relative_information_score 22.329078008172203 mean_absolute_error 0.2527230382004738 mean_absolute_error 0.2516327708836158 mean_absolute_error 0.25160091113175553 mean_absolute_error 0.24932729686546026 mean_absolute_error 0.25421816218793564 mean_absolute_error 0.25032561841467105 mean_absolute_error 0.2523142133979739 mean_absolute_error 0.24880646272013648 mean_absolute_error 0.25164990243667007 mean_absolute_error 0.24855764265385355 mean_prior_absolute_error 0.2600651974288342 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.26111294765840265 mean_prior_absolute_error 0.2602257782682673 mean_prior_absolute_error 0.2602257782682673 number_of_instances 660 [559,101] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 660 [558,102] number_of_instances 659 [558,101] number_of_instances 659 [558,101] precision 0.8714765254977698 [0.848255,1] precision 0.8726027397260273 [0.849315,1] precision 0.8736973392461197 [0.85061,1] precision 0.8736973392461197 [0.85061,1] precision 0.8726027397260273 [0.849315,1] precision 0.8736973392461197 [0.85061,1] precision 0.8715114672561481 [0.848024,1] precision 0.8770012529583741 [0.854518,1] precision 0.8746052890685633 [0.851908,1] precision 0.8757082596650472 [0.853211,1] predictive_accuracy 0.8484848484848484 predictive_accuracy 0.85 predictive_accuracy 0.8515151515151516 predictive_accuracy 0.8515151515151516 predictive_accuracy 0.85 predictive_accuracy 0.8515151515151516 predictive_accuracy 0.8484848484848484 predictive_accuracy 0.8560606060606061 predictive_accuracy 0.8528072837632777 predictive_accuracy 0.8543247344461306 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 prior_entropy 0.6203559250859288 recall 0.8484848484848485 [1,0.009901] recall 0.85 [1,0.029412] recall 0.8515151515151516 [1,0.039216] recall 0.8515151515151516 [1,0.039216] recall 0.85 [1,0.029412] recall 0.8515151515151516 [1,0.039216] recall 0.8484848484848485 [1,0.019608] recall 0.8560606060606061 [1,0.068627] recall 0.8528072837632777 [1,0.039604] recall 0.8543247344461306 [1,0.049505] relative_absolute_error 0.9717680054811272 relative_absolute_error 0.9636931953784645 relative_absolute_error 0.9635711801657147 relative_absolute_error 0.9548637825177447 relative_absolute_error 0.9735946243482073 relative_absolute_error 0.9586871147506482 relative_absolute_error 0.9663029568647068 relative_absolute_error 0.9528691125866117 relative_absolute_error 0.967044480033195 relative_absolute_error 0.9551614921009667 root_mean_prior_squared_error 0.360018747598774 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.36147095160214215 root_mean_prior_squared_error 0.3602416958959955 root_mean_prior_squared_error 0.3602416958959955 root_mean_squared_error 0.3549757171359248 root_mean_squared_error 0.35405729500049127 root_mean_squared_error 0.35330242179953664 root_mean_squared_error 0.35170072268940195 root_mean_squared_error 0.35560806740650464 root_mean_squared_error 0.35303714719448437 root_mean_squared_error 0.35545905884091367 root_mean_squared_error 0.34894212181428885 root_mean_squared_error 0.35136170960927665 root_mean_squared_error 0.3481362714926201 root_relative_squared_error 0.985992311521317 root_relative_squared_error 0.9794903115484344 root_relative_squared_error 0.9774019744424821 root_relative_squared_error 0.9729709154513364 root_relative_squared_error 0.9837804831352241 root_relative_squared_error 0.9766680991369383 root_relative_squared_error 0.9833682548083544 root_relative_squared_error 0.9653393177727781 root_relative_squared_error 0.975349920933965 root_relative_squared_error 0.9663963818145297 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 58276.84996899916 usercpu_time_millis 57655.29623600014 usercpu_time_millis 57731.05688399664 usercpu_time_millis 58300.99925800096 usercpu_time_millis 57662.38966199671 usercpu_time_millis 57053.47442900165 usercpu_time_millis 58184.925878002105 usercpu_time_millis 60701.8875199974 usercpu_time_millis 60023.56053699987 usercpu_time_millis 58366.29362400345 usercpu_time_millis_testing 2275.289573997725 usercpu_time_millis_testing 2458.2795060014178 usercpu_time_millis_testing 2265.3363489989715 usercpu_time_millis_testing 2297.1658940005 usercpu_time_millis_testing 2258.043516998441 usercpu_time_millis_testing 2254.0254189989355 usercpu_time_millis_testing 2365.6217090028804 usercpu_time_millis_testing 2331.678992999514 usercpu_time_millis_testing 2295.0604149991705 usercpu_time_millis_testing 2337.996947000647 usercpu_time_millis_training 56001.560395001434 usercpu_time_millis_training 55197.01672999872 usercpu_time_millis_training 55465.72053499767 usercpu_time_millis_training 56003.83336400046 usercpu_time_millis_training 55404.34614499827 usercpu_time_millis_training 54799.44901000272 usercpu_time_millis_training 55819.304168999224 usercpu_time_millis_training 58370.208526997885 usercpu_time_millis_training 57728.500122000696 usercpu_time_millis_training 56028.2966770028