10410591 1 Jan van Rijn 3510 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8248355 C 25197.17953304936 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 1.2621843281629253 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 30640 16360 shrinking false 16360 tol 8.678667381392803e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 21742975 description https://api.openml.org/data/download/21742975/description.xml -1 21742976 predictions https://api.openml.org/data/download/21742976/predictions.arff area_under_roc_curve 0.9519407754262178 [0.962867,0.948554,0.959817,0.975045,0.961049,0.981829,0.971741,0.888663,0.893334] average_cost 0 f_measure 0.9149861936915318 [0.932605,0.92268,0.920461,0.941683,0.933677,0.968783,0.959723,0.804988,0.818991] kappa 0.9039351679129527 kb_relative_information_score 0.9078322832857585 mean_absolute_error 0.01882898861113933 mean_prior_absolute_error 0.19617789217468493 number_of_instances 9961 [1096,991,1614,1473,782,963,1170,1011,861] precision 0.9151968674455112 [0.930909,0.943098,0.902381,0.919741,0.940337,0.970803,0.972783,0.811871,0.837379] predictive_accuracy 0.9152695512498745 prior_entropy 3.1320692781356225 recall 0.9152695512498745 [0.934307,0.903128,0.939281,0.964698,0.92711,0.966771,0.947009,0.79822,0.801394] relative_absolute_error 0.09597915648096178 root_mean_prior_squared_error 0.31319057364154096 root_mean_squared_error 0.13721876187730062 root_relative_squared_error 0.43813183864962973 total_cost 0 area_under_roc_curve 0.9564441750385123 [0.976584,0.94166,0.950541,0.989121,0.960936,0.976392,0.97095,0.91418,0.906753] area_under_roc_curve 0.9520857047483638 [0.96338,0.980389,0.954461,0.973244,0.960935,0.968194,0.955558,0.906903,0.886558] area_under_roc_curve 0.9453097624544984 [0.951724,0.936049,0.943947,0.9822,0.952405,0.987361,0.972084,0.855163,0.902901] area_under_roc_curve 0.9576184598179374 [0.982978,0.952316,0.964517,0.980962,0.97218,0.989028,0.97379,0.860191,0.92254] area_under_roc_curve 0.9568499739350876 [0.97047,0.936049,0.976175,0.977693,0.985001,0.992569,0.990315,0.870015,0.882392] area_under_roc_curve 0.9514838911661874 [0.977868,0.950644,0.963918,0.975926,0.95827,0.982153,0.968948,0.869456,0.885689] area_under_roc_curve 0.9547368226428522 [0.944357,0.966352,0.971201,0.97089,0.943271,0.971736,0.968379,0.908579,0.92309] area_under_roc_curve 0.9542880437842052 [0.954012,0.947823,0.964377,0.975926,0.960449,0.988578,0.973221,0.918961,0.877677] area_under_roc_curve 0.9446987817483387 [0.961126,0.955694,0.954461,0.967357,0.933174,0.972558,0.972084,0.890934,0.860115] area_under_roc_curve 0.9459005902254143 [0.946159,0.918884,0.95435,0.95702,0.983912,0.989691,0.972084,0.891974,0.886008] 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 0.9228116224365476 [0.941704,0.916667,0.924528,0.9701,0.948052,0.953368,0.948718,0.824645,0.845238] f_measure 0.9156571665261984 [0.931507,0.945813,0.909091,0.943522,0.948052,0.962567,0.942731,0.835821,0.8] f_measure 0.9031398387926692 [0.930233,0.90625,0.893617,0.947712,0.922078,0.969072,0.956897,0.758974,0.811429] f_measure 0.9247641075659198 [0.959641,0.932642,0.922156,0.941176,0.948718,0.984293,0.969432,0.795699,0.850575] f_measure 0.922768346840579 [0.954128,0.90625,0.942943,0.95302,0.962025,0.974359,0.982906,0.777778,0.807229] f_measure 0.913894580159679 [0.950673,0.918367,0.919403,0.943522,0.923077,0.963731,0.960699,0.773869,0.8375] f_measure 0.9196015231927412 [0.90411,0.939394,0.942249,0.945946,0.886076,0.95288,0.956522,0.848485,0.855491] f_measure 0.9195848279057688 [0.918182,0.931937,0.921687,0.943522,0.947368,0.979381,0.965217,0.832536,0.809816] f_measure 0.9019053766220221 [0.914798,0.923858,0.909091,0.927152,0.900662,0.958333,0.956897,0.81,0.775758] f_measure 0.9049902494225037 [0.920188,0.903226,0.919753,0.901961,0.95,0.989583,0.956897,0.788462,0.795322] kappa 0.9124999002688752 kappa 0.9043864039989851 kappa 0.8907105823831165 kappa 0.9157265985350715 kappa 0.9134823755314773 kappa 0.9031967041599348 kappa 0.9089795843766564 kappa 0.9089066395947443 kappa 0.8895540986230273 kappa 0.8918975734649787 kb_relative_information_score 0.9163693229389868 kb_relative_information_score 0.9087364594596339 kb_relative_information_score 0.895495472430833 kb_relative_information_score 0.9190698742982528 kb_relative_information_score 0.91620718696289 kb_relative_information_score 0.906577386590825 kb_relative_information_score 0.9126969629732516 kb_relative_information_score 0.9121869916077068 kb_relative_information_score 0.8934875993836329 kb_relative_information_score 0.8974921257238616 mean_absolute_error 0.017162598907834586 mean_absolute_error 0.01874163319946449 mean_absolute_error 0.021419009370816557 mean_absolute_error 0.016510486390004436 mean_absolute_error 0.016956715751896445 mean_absolute_error 0.018964747880410495 mean_absolute_error 0.01784917447568047 mean_absolute_error 0.01784917447568047 mean_absolute_error 0.02164212405176256 mean_absolute_error 0.02119589468987055 mean_prior_absolute_error 0.19618373676696743 mean_prior_absolute_error 0.19618024085643462 mean_prior_absolute_error 0.19617321397480805 mean_prior_absolute_error 0.19617005859165726 mean_prior_absolute_error 0.19617005859165726 mean_prior_absolute_error 0.19617005859165726 mean_prior_absolute_error 0.19617005859165726 mean_prior_absolute_error 0.1961846270628003 mean_prior_absolute_error 0.19618988603471826 mean_prior_absolute_error 0.19618697681621045 number_of_instances 997 [109,99,161,148,79,96,117,102,86] number_of_instances 996 [109,99,161,148,79,96,117,101,86] number_of_instances 996 [110,99,161,148,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,162,147,78,96,117,101,86] number_of_instances 996 [110,99,161,147,78,97,117,101,86] number_of_instances 996 [109,99,161,147,78,97,117,101,87] number_of_instances 996 [109,100,161,147,78,97,117,101,86] precision 0.923638190263535 [0.921053,0.946237,0.936306,0.954248,0.973333,0.948454,0.948718,0.798165,0.865854] precision 0.9164887097109198 [0.927273,0.923077,0.887574,0.928105,0.973333,0.989011,0.972727,0.84,0.809524] precision 0.903685201964905 [0.952381,0.935484,0.875,0.917722,0.934211,0.959184,0.965217,0.787234,0.797753] precision 0.9260216240838474 [0.946903,0.957447,0.895349,0.90566,0.948718,0.989474,0.991071,0.870588,0.840909] precision 0.9226260559299125 [0.962963,0.935484,0.918129,0.940397,0.95,0.959596,0.982906,0.793814,0.8375] precision 0.9146275270714711 [0.938053,0.927835,0.890173,0.922078,0.923077,0.958763,0.982143,0.785714,0.905405] precision 0.919782516613146 [0.908257,0.939394,0.928144,0.939597,0.875,0.957895,0.973451,0.865979,0.850575] precision 0.9209501179838838 [0.918182,0.967391,0.894737,0.922078,0.972973,0.979381,0.982301,0.805556,0.857143] precision 0.9022834128573113 [0.894737,0.928571,0.887574,0.903226,0.931507,0.968421,0.965217,0.818182,0.820513] precision 0.9071964143935619 [0.942308,0.976744,0.91411,0.867925,0.926829,1,0.965217,0.766355,0.8] predictive_accuracy 0.9227683049147443 predictive_accuracy 0.9156626506024097 predictive_accuracy 0.9036144578313252 predictive_accuracy 0.92570281124498 predictive_accuracy 0.9236947791164658 predictive_accuracy 0.9146586345381525 predictive_accuracy 0.9196787148594378 predictive_accuracy 0.9196787148594378 predictive_accuracy 0.9026104417670683 predictive_accuracy 0.9046184738955823 prior_entropy 3.132430663273403 prior_entropy 3.132262035209831 prior_entropy 3.1317736021645377 prior_entropy 3.1316412752162583 prior_entropy 3.1316412752162583 prior_entropy 3.1316412752162583 prior_entropy 3.1316412752162583 prior_entropy 3.1323886940047636 prior_entropy 3.1327378945582915 prior_entropy 3.132534428442531 recall 0.9227683049147443 [0.963303,0.888889,0.913043,0.986486,0.924051,0.958333,0.948718,0.852941,0.825581] recall 0.9156626506024096 [0.93578,0.969697,0.931677,0.959459,0.924051,0.9375,0.91453,0.831683,0.790698] recall 0.9036144578313253 [0.909091,0.878788,0.913043,0.97973,0.910256,0.979167,0.948718,0.732673,0.825581] recall 0.9257028112449799 [0.972727,0.909091,0.950617,0.979592,0.948718,0.979167,0.948718,0.732673,0.860465] recall 0.9236947791164659 [0.945455,0.878788,0.969136,0.965986,0.974359,0.989583,0.982906,0.762376,0.77907] recall 0.9146586345381527 [0.963636,0.909091,0.950617,0.965986,0.923077,0.96875,0.940171,0.762376,0.77907] recall 0.9196787148594378 [0.9,0.939394,0.95679,0.952381,0.897436,0.947917,0.940171,0.831683,0.860465] recall 0.9196787148594378 [0.918182,0.89899,0.950311,0.965986,0.923077,0.979381,0.948718,0.861386,0.767442] recall 0.9026104417670683 [0.93578,0.919192,0.931677,0.952381,0.871795,0.948454,0.948718,0.80198,0.735632] recall 0.9046184738955824 [0.899083,0.84,0.925466,0.938776,0.974359,0.979381,0.948718,0.811881,0.790698] relative_absolute_error 0.08748227141896478 relative_absolute_error 0.09553272601586661 relative_absolute_error 0.10918416911682507 relative_absolute_error 0.08416415078089086 relative_absolute_error 0.08643885755875276 relative_absolute_error 0.09667503805913137 relative_absolute_error 0.0909882711144766 relative_absolute_error 0.09098151441787947 relative_absolute_error 0.11031212917842623 relative_absolute_error 0.10803925435747468 root_mean_prior_squared_error 0.313199904230858 root_mean_prior_squared_error 0.3131943232239145 root_mean_prior_squared_error 0.3131831049371266 root_mean_prior_squared_error 0.31317806729544206 root_mean_prior_squared_error 0.31317806729544206 root_mean_prior_squared_error 0.31317806729544206 root_mean_prior_squared_error 0.31317806729544206 root_mean_prior_squared_error 0.31320132551771146 root_mean_prior_squared_error 0.3132097209186992 root_mean_prior_squared_error 0.31320507668213426 root_mean_squared_error 0.1310061025595166 root_mean_squared_error 0.13690008473139997 root_mean_squared_error 0.14635234665292032 root_mean_squared_error 0.12849313752105376 root_mean_squared_error 0.13021795479847026 root_mean_squared_error 0.13771255527514728 root_mean_squared_error 0.1336008026760336 root_mean_squared_error 0.1336008026760336 root_mean_squared_error 0.14711262369954034 root_mean_squared_error 0.1455880994101872 root_relative_squared_error 0.4182827031228998 root_relative_squared_error 0.4371090871705389 root_relative_squared_error 0.4673060083566814 root_relative_squared_error 0.4102877913217259 root_relative_squared_error 0.4157952564271586 root_relative_squared_error 0.439726052543883 root_relative_squared_error 0.4265969319939603 root_relative_squared_error 0.426565253053115 root_relative_squared_error 0.4696936712820826 root_relative_squared_error 0.46483314048559216 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 16842.14543300004 usercpu_time_millis 16815.58826599985 usercpu_time_millis 16830.56558999988 usercpu_time_millis 16785.791296999832 usercpu_time_millis 16781.551102999856 usercpu_time_millis 16739.179544999843 usercpu_time_millis 16729.74493699985 usercpu_time_millis 16763.163450999855 usercpu_time_millis 16745.014184999945 usercpu_time_millis 16749.39114100016 usercpu_time_millis_testing 624.5383410000613 usercpu_time_millis_testing 626.4438889998019 usercpu_time_millis_testing 626.4937420000933 usercpu_time_millis_testing 625.9949000000233 usercpu_time_millis_testing 623.1711609998456 usercpu_time_millis_testing 627.9640660000041 usercpu_time_millis_testing 623.5270140000466 usercpu_time_millis_testing 622.6157940000121 usercpu_time_millis_testing 622.333054000137 usercpu_time_millis_testing 619.4499920002272 usercpu_time_millis_training 16217.60709199998 usercpu_time_millis_training 16189.144377000048 usercpu_time_millis_training 16204.071847999785 usercpu_time_millis_training 16159.796396999809 usercpu_time_millis_training 16158.37994200001 usercpu_time_millis_training 16111.215478999839 usercpu_time_millis_training 16106.217922999804 usercpu_time_millis_training 16140.547656999843 usercpu_time_millis_training 16122.681130999808 usercpu_time_millis_training 16129.941148999933 wall_clock_time_millis 16847.493410110474 wall_clock_time_millis 16817.35324859619 wall_clock_time_millis 16832.71026611328 wall_clock_time_millis 16785.8464717865 wall_clock_time_millis 16785.332918167114 wall_clock_time_millis 16739.319801330566 wall_clock_time_millis 16729.756116867065 wall_clock_time_millis 16763.517379760742 wall_clock_time_millis 16745.06711959839 wall_clock_time_millis 16749.41110610962 wall_clock_time_millis_testing 624.5806217193604 wall_clock_time_millis_testing 626.4607906341553 wall_clock_time_millis_testing 626.5237331390381 wall_clock_time_millis_testing 626.025915145874 wall_clock_time_millis_testing 623.1803894042969 wall_clock_time_millis_testing 627.9721260070801 wall_clock_time_millis_testing 623.5325336456299 wall_clock_time_millis_testing 622.6224899291992 wall_clock_time_millis_testing 622.3490238189697 wall_clock_time_millis_testing 619.4553375244141 wall_clock_time_millis_training 16222.912788391113 wall_clock_time_millis_training 16190.892457962036 wall_clock_time_millis_training 16206.186532974243 wall_clock_time_millis_training 16159.820556640625 wall_clock_time_millis_training 16162.152528762817 wall_clock_time_millis_training 16111.347675323486 wall_clock_time_millis_training 16106.223583221436 wall_clock_time_millis_training 16140.894889831543 wall_clock_time_millis_training 16122.718095779419 wall_clock_time_millis_training 16129.955768585205