10326879 8323 Heinrich Peters 9952 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8182549 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 0.42681252219264904 13389 cache_size 200 13389 class_weight null 13389 coef0 0.23495235580748663 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.0419665675168468 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 38634 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. 1489 phoneme https://www.openml.org/data/download/1592281/php8Mz7BG -1 21575444 description https://api.openml.org/data/download/21575444/description.xml -1 21575445 predictions https://api.openml.org/data/download/21575445/predictions.arff area_under_roc_curve 0.7578979771269958 [0.757898,0.757898] average_cost 0 f_measure 0.7971071070813364 [0.855263,0.657107] kappa 0.5123963091606234 kb_relative_information_score 0.47091344521933115 mean_absolute_error 0.20355292376017764 mean_prior_absolute_error 0.4147357447231523 number_of_instances 5404 [3818,1586] precision 0.7978428332971985 [0.859334,0.649815] predictive_accuracy 0.7964470762398225 prior_entropy 0.8731822780289229 recall 0.7964470762398224 [0.851231,0.664565] relative_absolute_error 0.4908014955307383 root_mean_prior_squared_error 0.4553593089081206 root_mean_squared_error 0.45116839845026563 root_relative_squared_error 0.9907964757151795 total_cost 0 area_under_roc_curve 0.7424758800092199 [0.742476,0.742476] area_under_roc_curve 0.7851921367183641 [0.785192,0.785192] area_under_roc_curve 0.7367134248740492 [0.736713,0.736713] area_under_roc_curve 0.7519098422733709 [0.75191,0.75191] area_under_roc_curve 0.7513420372456756 [0.751342,0.751342] area_under_roc_curve 0.7751342037245674 [0.775134,0.775134] area_under_roc_curve 0.796192590628935 [0.796193,0.796193] area_under_roc_curve 0.7392305653124793 [0.739231,0.739231] area_under_roc_curve 0.7472639033328381 [0.747264,0.747264] area_under_roc_curve 0.7538255831228643 [0.753826,0.753826] 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 0.7884856938083522 [0.851563,0.636943] f_measure 0.8150660518383945 [0.86587,0.693009] f_measure 0.7831269329060613 [0.847458,0.628571] f_measure 0.7946348801391027 [0.854902,0.649842] f_measure 0.7929726289454909 [0.853018,0.647799] f_measure 0.8029763529241786 [0.855228,0.676647] f_measure 0.8195278640355271 [0.867114,0.704478] f_measure 0.7835330954654892 [0.846658,0.630915] f_measure 0.7905478080831885 [0.8519,0.643533] f_measure 0.798858173076923 [0.859375,0.653846] kappa 0.48853910966629077 kappa 0.5590943201349159 kappa 0.4760485733442599 kappa 0.5047462743189858 kappa 0.5008253549026083 kappa 0.5324825242095813 kappa 0.5722104858843864 kappa 0.4775749156578685 kappa 0.495435602302044 kappa 0.5132942767012169 kb_relative_information_score 0.4526107623932176 kb_relative_information_score 0.5150323421203065 kb_relative_information_score 0.4382057824561971 kb_relative_information_score 0.4670157423302382 kb_relative_information_score 0.46019469220958603 kb_relative_information_score 0.4794734532021008 kb_relative_information_score 0.5228506654352585 kb_relative_information_score 0.4360962409689425 kb_relative_information_score 0.45683628871296067 kb_relative_information_score 0.4808700812477856 mean_absolute_error 0.21072088724584104 mean_absolute_error 0.1866913123844732 mean_absolute_error 0.21626617375231053 mean_absolute_error 0.20517560073937152 mean_absolute_error 0.2074074074074074 mean_absolute_error 0.2 mean_absolute_error 0.18333333333333332 mean_absolute_error 0.21666666666666667 mean_absolute_error 0.20925925925925926 mean_absolute_error 0.2 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.4149066245966177 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.41436675299050424 mean_prior_absolute_error 0.415131335553089 mean_prior_absolute_error 0.415131335553089 number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 541 [382,159] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [382,158] number_of_instances 540 [381,159] number_of_instances 540 [381,159] precision 0.7877856638170441 [0.84715,0.645161] precision 0.8175402913231697 [0.878706,0.670588] precision 0.7825718643648403 [0.844156,0.634615] precision 0.7944512252003585 [0.853786,0.651899] precision 0.7933759746588693 [0.855263,0.64375] precision 0.807810939060939 [0.876374,0.642045] precision 0.8245179063360881 [0.889807,0.666667] precision 0.7837385892801135 [0.847769,0.628931] precision 0.7903607116295167 [0.850785,0.64557] precision 0.7979328165374676 [0.852713,0.666667] predictive_accuracy 0.789279112754159 predictive_accuracy 0.8133086876155268 predictive_accuracy 0.7837338262476895 predictive_accuracy 0.7948243992606285 predictive_accuracy 0.7925925925925925 predictive_accuracy 0.8 predictive_accuracy 0.8166666666666668 predictive_accuracy 0.7833333333333333 predictive_accuracy 0.7907407407407407 predictive_accuracy 0.8 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8737066175945942 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8720500383981036 prior_entropy 0.8743961361606727 prior_entropy 0.8743961361606727 recall 0.789279112754159 [0.856021,0.628931] recall 0.8133086876155268 [0.853403,0.716981] recall 0.7837338262476895 [0.850785,0.622642] recall 0.7948243992606284 [0.856021,0.647799] recall 0.7925925925925926 [0.850785,0.651899] recall 0.8 [0.835079,0.71519] recall 0.8166666666666667 [0.84555,0.746835] recall 0.7833333333333333 [0.84555,0.632911] recall 0.7907407407407407 [0.853018,0.641509] recall 0.8 [0.866142,0.641509] relative_absolute_error 0.5078754465554968 relative_absolute_error 0.4499598254570628 relative_absolute_error 0.5212405898859045 relative_absolute_error 0.49451030322508877 relative_absolute_error 0.5005406585121476 relative_absolute_error 0.4826642064224281 relative_absolute_error 0.442442189220559 relative_absolute_error 0.5228862236242972 relative_absolute_error 0.5040796522393529 relative_absolute_error 0.48177524284823114 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.45554690217666205 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.454953963029931 root_mean_prior_squared_error 0.45579347410776366 root_mean_prior_squared_error 0.45579347410776366 root_mean_squared_error 0.4590434481025092 root_mean_squared_error 0.4320779008286274 root_mean_squared_error 0.4650442707445287 root_mean_squared_error 0.45296313397380533 root_mean_squared_error 0.4554200340426488 root_mean_squared_error 0.4472135954999579 root_mean_squared_error 0.4281744192888376 root_mean_squared_error 0.4654746681256314 root_mean_squared_error 0.45744864111642003 root_mean_squared_error 0.4472135954999579 root_relative_squared_error 1.0076754905129202 root_relative_squared_error 0.9484817013662112 root_relative_squared_error 1.020848278239819 root_relative_squared_error 0.9943282059640595 root_relative_squared_error 1.0010244355486297 root_relative_squared_error 0.982986481800437 root_relative_squared_error 0.9411379042337705 root_relative_squared_error 1.023124768549402 root_relative_squared_error 1.0036313968994321 root_relative_squared_error 0.9811759511813959 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 901.2878889989224 usercpu_time_millis 903.0418900074437 usercpu_time_millis 933.050646999618 usercpu_time_millis 906.4636590046575 usercpu_time_millis 914.92353999638 usercpu_time_millis 911.3784740038682 usercpu_time_millis 934.1878300037934 usercpu_time_millis 923.3931769995252 usercpu_time_millis 973.3012479991885 usercpu_time_millis 920.8167050019256 usercpu_time_millis_testing 68.92111899651354 usercpu_time_millis_testing 69.38551900384482 usercpu_time_millis_testing 71.92075099737849 usercpu_time_millis_testing 70.19650500296848 usercpu_time_millis_testing 70.23409099929268 usercpu_time_millis_testing 69.8594640052761 usercpu_time_millis_testing 71.18553000327665 usercpu_time_millis_testing 70.41058799950406 usercpu_time_millis_testing 70.27256899891654 usercpu_time_millis_testing 70.2570330031449 usercpu_time_millis_training 832.3667700024089 usercpu_time_millis_training 833.6563710035989 usercpu_time_millis_training 861.1298960022395 usercpu_time_millis_training 836.267154001689 usercpu_time_millis_training 844.6894489970873 usercpu_time_millis_training 841.5190099985921 usercpu_time_millis_training 863.0023000005167 usercpu_time_millis_training 852.9825890000211 usercpu_time_millis_training 903.028679000272 usercpu_time_millis_training 850.5596719987807 wall_clock_time_millis 901.5848636627197 wall_clock_time_millis 903.3112525939941 wall_clock_time_millis 933.1827163696289 wall_clock_time_millis 906.5568447113037 wall_clock_time_millis 915.0421619415283 wall_clock_time_millis 911.6051197052002 wall_clock_time_millis 934.267520904541 wall_clock_time_millis 923.4805107116699 wall_clock_time_millis 973.3929634094238 wall_clock_time_millis 920.9001064300537 wall_clock_time_millis_testing 68.93420219421387 wall_clock_time_millis_testing 69.40007209777832 wall_clock_time_millis_testing 71.93851470947266 wall_clock_time_millis_testing 70.21307945251465 wall_clock_time_millis_testing 70.2505111694336 wall_clock_time_millis_testing 69.87547874450684 wall_clock_time_millis_testing 71.20108604431152 wall_clock_time_millis_testing 70.43337821960449 wall_clock_time_millis_testing 70.28508186340332 wall_clock_time_millis_testing 70.27482986450195 wall_clock_time_millis_training 832.6506614685059 wall_clock_time_millis_training 833.9111804962158 wall_clock_time_millis_training 861.2442016601562 wall_clock_time_millis_training 836.3437652587891 wall_clock_time_millis_training 844.7916507720947 wall_clock_time_millis_training 841.7296409606934 wall_clock_time_millis_training 863.0664348602295 wall_clock_time_millis_training 853.0471324920654 wall_clock_time_millis_training 903.1078815460205 wall_clock_time_millis_training 850.6252765655518