10330647 8323 Heinrich Peters 9978 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186215 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.07077231909653779 13389 cache_size 200 13389 class_weight null 13389 coef0 0.9005967890758899 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 2.867595836610148 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 29078 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 1487 ozone-level-8hr https://www.openml.org/data/download/1592279/phpdReP6S -1 21582993 description https://api.openml.org/data/download/21582993/description.xml -1 21582994 predictions https://api.openml.org/data/download/21582994/predictions.arff area_under_roc_curve 0.6693186604886268 [0.669319,0.669319] average_cost 0 f_measure 0.9176365574946309 [0.954757,0.366864] kappa 0.3217582285637104 kb_relative_information_score -0.012062232137124183 mean_absolute_error 0.08445146014206788 mean_prior_absolute_error 0.11860993329831554 number_of_instances 2534 [2374,160] precision 0.9198822456287702 [0.958404,0.348315] predictive_accuracy 0.9155485398579322 prior_entropy 0.33979186786586124 recall 0.9155485398579322 [0.951137,0.3875] relative_absolute_error 0.7120100129359674 root_mean_prior_squared_error 0.24321713805631198 root_mean_squared_error 0.29060533398764016 root_relative_squared_error 1.194839049213532 total_cost 0 area_under_roc_curve 0.6893382352941176 [0.689338,0.689338] area_under_roc_curve 0.6601890756302521 [0.660189,0.660189] area_under_roc_curve 0.601890756302521 [0.601891,0.601891] area_under_roc_curve 0.7205882352941176 [0.720588,0.720588] area_under_roc_curve 0.7622626582278481 [0.762263,0.762263] area_under_roc_curve 0.6017932489451477 [0.601793,0.601793] area_under_roc_curve 0.6664029535864979 [0.666403,0.666403] area_under_roc_curve 0.6621835443037974 [0.662184,0.662184] area_under_roc_curve 0.7601529535864979 [0.760153,0.760153] area_under_roc_curve 0.5684335443037974 [0.568434,0.568434] 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 0.91508650934901 [0.951168,0.378378] f_measure 0.9130424236082543 [0.951374,0.342857] f_measure 0.9080832333572425 [0.951782,0.258065] f_measure 0.919670931391135 [0.953191,0.421053] f_measure 0.9384849404356101 [0.966102,0.529412] f_measure 0.9077203272109893 [0.951579,0.258065] f_measure 0.9209486166007906 [0.957806,0.375] f_measure 0.9154167930989642 [0.95339,0.352941] f_measure 0.9354720604789838 [0.963907,0.514286] f_measure 0.8996960078380318 [0.947368,0.193548] kappa 0.3305065322026132 kappa 0.29461482733639255 kappa 0.2098999188531246 kappa 0.3755029056772466 kappa 0.4956391726887617 kappa 0.20969713432024953 kappa 0.3328059071729962 kappa 0.30650386244704647 kappa 0.47847702194737535 kappa 0.14097514600027167 kb_relative_information_score -0.08701366149401733 kb_relative_information_score -0.08701366149401757 kb_relative_information_score -0.08701366149401558 kb_relative_information_score -0.03975219795079702 kb_relative_information_score 0.24298517444237885 kb_relative_information_score -0.08820881173908215 kb_relative_information_score 0.053731468052972034 kb_relative_information_score -0.0408953851417298 kb_relative_information_score 0.19567174784502775 kb_relative_information_score -0.1828356649337845 mean_absolute_error 0.09055118110236221 mean_absolute_error 0.09055118110236221 mean_absolute_error 0.09055118110236221 mean_absolute_error 0.08661417322834646 mean_absolute_error 0.06324110671936758 mean_absolute_error 0.09090909090909091 mean_absolute_error 0.07905138339920949 mean_absolute_error 0.08695652173913043 mean_absolute_error 0.06719367588932806 mean_absolute_error 0.09881422924901186 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11847971882063642 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 mean_prior_absolute_error 0.11869708607124604 number_of_instances 254 [238,16] number_of_instances 254 [238,16] number_of_instances 254 [238,16] number_of_instances 254 [238,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] number_of_instances 253 [237,16] precision 0.9218118121500908 [0.961373,0.333333] precision 0.9170274488365326 [0.957447,0.315789] precision 0.9067593538255416 [0.949791,0.266667] precision 0.9276034853010146 [0.965517,0.363636] precision 0.9404759902447228 [0.970213,0.5] precision 0.9063916475681181 [0.94958,0.266667] precision 0.9209486166007905 [0.957806,0.375] precision 0.9179771816219551 [0.957447,0.333333] precision 0.9386925050540611 [0.970085,0.473684] precision 0.8982396120503536 [0.945378,0.2] predictive_accuracy 0.9094488188976377 predictive_accuracy 0.9094488188976377 predictive_accuracy 0.9094488188976377 predictive_accuracy 0.9133858267716535 predictive_accuracy 0.9367588932806323 predictive_accuracy 0.9090909090909091 predictive_accuracy 0.9209486166007905 predictive_accuracy 0.9130434782608695 predictive_accuracy 0.9328063241106719 predictive_accuracy 0.9011857707509882 prior_entropy 0.3392127388048247 prior_entropy 0.3392127388048247 prior_entropy 0.3392127388048247 prior_entropy 0.3392127388048247 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 prior_entropy 0.3401794799383073 recall 0.9094488188976378 [0.941176,0.4375] recall 0.9094488188976378 [0.945378,0.375] recall 0.9094488188976378 [0.953782,0.25] recall 0.9133858267716536 [0.941176,0.5] recall 0.9367588932806324 [0.962025,0.5625] recall 0.9090909090909091 [0.953586,0.25] recall 0.9209486166007905 [0.957806,0.375] recall 0.9130434782608695 [0.949367,0.375] recall 0.932806324110672 [0.957806,0.5625] recall 0.9011857707509882 [0.949367,0.1875] relative_absolute_error 0.7642757933908119 relative_absolute_error 0.7642757933908119 relative_absolute_error 0.7642757933908119 relative_absolute_error 0.7310464110694723 relative_absolute_error 0.5327940964061082 relative_absolute_error 0.7658915135837806 relative_absolute_error 0.6659926205076353 relative_absolute_error 0.7325918825583987 relative_absolute_error 0.56609372743149 relative_absolute_error 0.8324907756345441 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24294929875723142 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_prior_squared_error 0.24339623870807886 root_mean_squared_error 0.3009172329767144 root_mean_squared_error 0.3009172329767144 root_mean_squared_error 0.3009172329767144 root_mean_squared_error 0.2943028597012718 root_mean_squared_error 0.2514778453847726 root_mean_squared_error 0.30151134457776363 root_mean_squared_error 0.2811607785577666 root_mean_squared_error 0.29488391230979427 root_mean_squared_error 0.259217429756041 root_mean_squared_error 0.3143473067309657 root_relative_squared_error 1.2386009530219217 root_relative_squared_error 1.2386009530219217 root_relative_squared_error 1.2386009530219217 root_relative_squared_error 1.2113756294285736 root_relative_squared_error 1.0332034986226164 root_relative_squared_error 1.2387674771728334 root_relative_squared_error 1.1551566287553903 root_relative_squared_error 1.2115384932610564 root_relative_squared_error 1.0650017893946897 root_relative_squared_error 1.2915043732782707 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 380.5613710000131 usercpu_time_millis 347.72417099999586 usercpu_time_millis 442.86115400001336 usercpu_time_millis 361.9018740000115 usercpu_time_millis 322.67109000000005 usercpu_time_millis 314.0892589999993 usercpu_time_millis 296.2701090000053 usercpu_time_millis 306.1456530000015 usercpu_time_millis 337.79264099999295 usercpu_time_millis 317.31268900000487 usercpu_time_millis_testing 25.093057000006525 usercpu_time_millis_testing 26.46905199999594 usercpu_time_millis_testing 21.164432000006173 usercpu_time_millis_testing 20.584320000011758 usercpu_time_millis_testing 20.094821000000707 usercpu_time_millis_testing 18.36747699999819 usercpu_time_millis_testing 18.65661300000454 usercpu_time_millis_testing 18.158987000006732 usercpu_time_millis_testing 19.05056999999033 usercpu_time_millis_testing 18.621373000001995 usercpu_time_millis_training 355.46831400000656 usercpu_time_millis_training 321.2551189999999 usercpu_time_millis_training 421.6967220000072 usercpu_time_millis_training 341.31755399999975 usercpu_time_millis_training 302.57626899999934 usercpu_time_millis_training 295.7217820000011 usercpu_time_millis_training 277.61349600000074 usercpu_time_millis_training 287.9866659999948 usercpu_time_millis_training 318.7420710000026 usercpu_time_millis_training 298.69131600000287 wall_clock_time_millis 396.60000801086426 wall_clock_time_millis 395.7648277282715 wall_clock_time_millis 475.33345222473145 wall_clock_time_millis 361.940860748291 wall_clock_time_millis 358.77108573913574 wall_clock_time_millis 314.12529945373535 wall_clock_time_millis 296.30398750305176 wall_clock_time_millis 306.18953704833984 wall_clock_time_millis 337.8281593322754 wall_clock_time_millis 365.36097526550293 wall_clock_time_millis_testing 25.10523796081543 wall_clock_time_millis_testing 26.479482650756836 wall_clock_time_millis_testing 21.175622940063477 wall_clock_time_millis_testing 20.59316635131836 wall_clock_time_millis_testing 44.11745071411133 wall_clock_time_millis_testing 18.37897300720215 wall_clock_time_millis_testing 18.666982650756836 wall_clock_time_millis_testing 18.168210983276367 wall_clock_time_millis_testing 19.05965805053711 wall_clock_time_millis_testing 18.6309814453125 wall_clock_time_millis_training 371.4947700500488 wall_clock_time_millis_training 369.28534507751465 wall_clock_time_millis_training 454.15782928466797 wall_clock_time_millis_training 341.34769439697266 wall_clock_time_millis_training 314.6536350250244 wall_clock_time_millis_training 295.7463264465332 wall_clock_time_millis_training 277.6370048522949 wall_clock_time_millis_training 288.0213260650635 wall_clock_time_millis_training 318.7685012817383 wall_clock_time_millis_training 346.72999382019043