10412728 1 Jan van Rijn 3510 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8250491 C 1496.2779649940262 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.31152588678399 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 2042 16360 shrinking false 16360 tol 3.398455189733069e-05 16360 verbose false 16360 openml-python Sklearn_0.21.2. 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 21747249 description https://api.openml.org/data/download/21747249/description.xml -1 21747250 predictions https://api.openml.org/data/download/21747250/predictions.arff area_under_roc_curve 0.9962456364039722 [0.997381,0.999272,0.997782,0.999543,0.993755,0.999259,0.997636,0.990036,0.987091] average_cost 0 f_measure 0.9932675994089037 [0.994984,0.997481,0.996283,0.998982,0.988491,0.997408,0.996152,0.98171,0.980163] kappa 0.9923806336915442 kb_relative_information_score 0.9925132715674329 mean_absolute_error 0.0014947182902207475 mean_prior_absolute_error 0.19617789217468493 number_of_instances 9961 [1096,991,1614,1473,782,963,1170,1011,861] precision 0.9932662133780431 [0.994531,0.995976,0.996283,0.998643,0.988491,0.995859,0.996578,0.981225,0.98476] predictive_accuracy 0.9932737676940065 prior_entropy 3.1320692781356225 recall 0.9932737676940067 [0.995438,0.998991,0.996283,0.999321,0.988491,0.998962,0.995726,0.982196,0.97561] relative_absolute_error 0.007619198441024071 root_mean_prior_squared_error 0.31319057364154096 root_mean_squared_error 0.038661586752495654 root_relative_squared_error 0.12344428602358057 total_cost 0 area_under_roc_curve 0.9977768225366405 [0.999437,0.999443,1,1,0.999455,1,1,0.994539,0.982558] area_under_roc_curve 0.9960483736858122 [0.994285,1,0.996296,1,1,0.994792,0.995726,0.993374,0.987823] area_under_roc_curve 0.9938796410254171 [0.998871,1,0.993789,1,0.998911,1,0.999431,0.977963,0.969831] area_under_roc_curve 0.9971529753960006 [0.995455,1,0.998801,1,0.9925,1,1,0.98459,1] area_under_roc_curve 0.995017968083164 [0.995455,0.998885,1,1,0.998911,0.998889,1,0.984031,0.970381] area_under_roc_curve 0.9966887072789502 [0.995455,1,0.996914,1,0.986635,1,0.999431,0.99505,0.991988] area_under_roc_curve 0.9972251212474676 [1,1,1,0.996599,1,1,0.991453,0.993374,0.993087] area_under_roc_curve 0.9976560534579234 [1,0.999443,0.995697,0.999411,1,1,0.991453,0.99505,1] area_under_roc_curve 0.9949493273701306 [1,1,0.999401,1,0.973814,0.998888,0.999431,0.993374,0.976461] area_under_roc_curve 0.9960623262427517 [0.994849,0.995,0.996894,0.999411,0.987179,1,0.999431,0.988982,0.998901] 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 0.9959692207652859 [0.995434,0.994975,1,1,0.993711,1,1,0.990196,0.982249] f_measure 0.9929848609483809 [0.986301,1,0.993789,1,1,0.994764,0.995708,0.980392,0.982456] f_measure 0.9889110589547357 [0.990991,1,0.99375,1,0.987342,1,0.995745,0.960396,0.95858] f_measure 0.9949732992012347 [0.995434,1,0.993865,1,0.980892,1,1,0.98,1] f_measure 0.9909104598582349 [0.995434,0.99,1,1,0.987342,0.989691,1,0.975124,0.964286] f_measure 0.994005008763302 [0.995434,1,0.996904,1,0.980645,1,0.995745,0.995025,0.971429] f_measure 0.9949979429609153 [1,1,1,0.996587,1,1,0.991379,0.980392,0.982659] f_measure 0.9959816698685465 [1,0.994975,0.990712,0.99661,1,1,0.991379,0.995025,1] f_measure 0.990904225215858 [1,1,0.996904,1,0.96732,0.989796,0.995745,0.980392,0.97076] f_measure 0.9929701401802234 [0.990826,0.994975,0.996885,0.99661,0.987013,1,0.995745,0.980198,0.988506] kappa 0.995455410488794 kappa 0.9920388602278722 kappa 0.9874901660327635 kappa 0.9943123805085966 kappa 0.9897634423337159 kappa 0.993176150325663 kappa 0.9943135689890827 kappa 0.9954506733779892 kappa 0.989763302054534 kappa 0.9920393420011486 kb_relative_information_score 0.9953757523003596 kb_relative_information_score 0.992371172978262 kb_relative_information_score 0.9878519716647349 kb_relative_information_score 0.9943877942080033 kb_relative_information_score 0.9897316795413331 kb_relative_information_score 0.9932906198045802 kb_relative_information_score 0.9946632378141661 kb_relative_information_score 0.9958728820060034 kb_relative_information_score 0.9893410888104829 kb_relative_information_score 0.9922435313527785 mean_absolute_error 0.0008915635796277722 mean_absolute_error 0.001561802766622044 mean_absolute_error 0.002454261490406069 mean_absolute_error 0.0011155734047300313 mean_absolute_error 0.0020080321285140565 mean_absolute_error 0.0013386880856760376 mean_absolute_error 0.0011155734047300313 mean_absolute_error 0.000892458723784025 mean_absolute_error 0.0020080321285140565 mean_absolute_error 0.001561802766622044 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 0.996019649858667 [0.990909,0.99,1,1,0.9875,1,1,0.990196,1] precision 0.9930368168067107 [0.981818,1,0.993789,1,1,1,1,0.970874,0.988235] precision 0.9889778109491554 [0.982143,1,1,1,0.975,1,0.991525,0.960396,0.975904] precision 0.9950095428507997 [1,1,0.987805,1,0.974684,1,1,0.989899,1] precision 0.9910257427702026 [1,0.980198,1,1,0.975,0.979592,1,0.98,0.987805] precision 0.9941067460079903 [1,1,1,1,0.987013,1,0.991525,1,0.955056] precision 0.9950614868804534 [1,1,1,1,1,1,1,0.970874,0.977011] precision 0.9960131550559931 [1,0.99,0.987654,0.993243,1,1,1,1,1] precision 0.991001595981578 [1,1,0.993827,1,0.986667,0.979798,0.991525,0.970874,0.988095] precision 0.9930328171470707 [0.990826,1,1,0.993243,1,1,0.991525,0.980198,0.977273] predictive_accuracy 0.995987963891675 predictive_accuracy 0.9929718875502007 predictive_accuracy 0.9889558232931727 predictive_accuracy 0.9949799196787148 predictive_accuracy 0.9909638554216867 predictive_accuracy 0.9939759036144578 predictive_accuracy 0.9949799196787148 predictive_accuracy 0.995983935742972 predictive_accuracy 0.9909638554216867 predictive_accuracy 0.9929718875502007 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 0.995987963891675 [1,1,1,1,1,1,1,0.990196,0.965116] recall 0.9929718875502008 [0.990826,1,0.993789,1,1,0.989583,0.991453,0.990099,0.976744] recall 0.9889558232931727 [1,1,0.987578,1,1,1,1,0.960396,0.94186] recall 0.9949799196787149 [0.990909,1,1,1,0.987179,1,1,0.970297,1] recall 0.9909638554216867 [0.990909,1,1,1,1,1,1,0.970297,0.94186] recall 0.9939759036144579 [0.990909,1,0.993827,1,0.974359,1,1,0.990099,0.988372] recall 0.9949799196787149 [1,1,1,0.993197,1,1,0.982906,0.990099,0.988372] recall 0.9959839357429718 [1,1,0.993789,1,1,1,0.982906,0.990099,1] recall 0.9909638554216867 [1,1,1,1,0.948718,1,1,0.990099,0.954023] recall 0.9929718875502008 [0.990826,0.99,0.993789,1,0.974359,1,1,0.980198,1] relative_absolute_error 0.00454453358020597 relative_absolute_error 0.007961060501322234 relative_absolute_error 0.012510686044636234 relative_absolute_error 0.005686766944654797 relative_absolute_error 0.010236180500378635 relative_absolute_error 0.006824120333585758 relative_absolute_error 0.005686766944654797 relative_absolute_error 0.0045490757208939804 relative_absolute_error 0.010235146006245754 relative_absolute_error 0.007960787163182364 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 0.029859061934825952 root_mean_squared_error 0.039519650385878215 root_mean_squared_error 0.04954050353403838 root_mean_squared_error 0.03340020066900843 root_mean_squared_error 0.04481107149482209 root_mean_squared_error 0.036588086663230115 root_mean_squared_error 0.03340020066900843 root_mean_squared_error 0.02987404766321472 root_mean_squared_error 0.04481107149482209 root_mean_squared_error 0.039519650385878215 root_relative_squared_error 0.09533547594196261 root_relative_squared_error 0.12618252457157123 root_relative_squared_error 0.15818383160861738 root_relative_squared_error 0.10664923299849015 root_relative_squared_error 0.14308496083970262 root_relative_squared_error 0.11682838130779477 root_relative_squared_error 0.10664923299849015 root_relative_squared_error 0.09538289026661653 root_relative_squared_error 0.14307050037713814 root_relative_squared_error 0.12617819227108484 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 28956.992061000165 usercpu_time_millis 28370.816053999988 usercpu_time_millis 28347.417623999718 usercpu_time_millis 28610.748142999 usercpu_time_millis 28931.67288299992 usercpu_time_millis 28293.881927000257 usercpu_time_millis 28549.327134999658 usercpu_time_millis 28009.660192999945 usercpu_time_millis 28003.876183000102 usercpu_time_millis 28430.403869000656 usercpu_time_millis_testing 469.635143999767 usercpu_time_millis_testing 467.42872499999066 usercpu_time_millis_testing 470.09097099999053 usercpu_time_millis_testing 471.1264809993736 usercpu_time_millis_testing 468.55737199985015 usercpu_time_millis_testing 467.2445460000745 usercpu_time_millis_testing 468.4840969994184 usercpu_time_millis_testing 467.7627319997555 usercpu_time_millis_testing 470.02945999975054 usercpu_time_millis_testing 469.2278520005857 usercpu_time_millis_training 28487.356917000398 usercpu_time_millis_training 27903.387328999997 usercpu_time_millis_training 27877.326652999727 usercpu_time_millis_training 28139.621661999627 usercpu_time_millis_training 28463.11551100007 usercpu_time_millis_training 27826.637381000182 usercpu_time_millis_training 28080.84303800024 usercpu_time_millis_training 27541.89746100019 usercpu_time_millis_training 27533.84672300035 usercpu_time_millis_training 27961.17601700007 wall_clock_time_millis 28956.813097000122 wall_clock_time_millis 28370.641708374023 wall_clock_time_millis 28347.48339653015 wall_clock_time_millis 28610.548496246338 wall_clock_time_millis 28931.5402507782 wall_clock_time_millis 28293.702602386475 wall_clock_time_millis 28549.234867095947 wall_clock_time_millis 28009.459495544434 wall_clock_time_millis 28003.772735595703 wall_clock_time_millis 28430.20987510681 wall_clock_time_millis_testing 469.63953971862793 wall_clock_time_millis_testing 467.4336910247803 wall_clock_time_millis_testing 470.0942039489746 wall_clock_time_millis_testing 471.1296558380127 wall_clock_time_millis_testing 468.5649871826172 wall_clock_time_millis_testing 467.2555923461914 wall_clock_time_millis_testing 468.51086616516113 wall_clock_time_millis_testing 467.76676177978516 wall_clock_time_millis_testing 470.05653381347656 wall_clock_time_millis_testing 469.23208236694336 wall_clock_time_millis_training 28487.173557281494 wall_clock_time_millis_training 27903.208017349243 wall_clock_time_millis_training 27877.389192581177 wall_clock_time_millis_training 28139.418840408325 wall_clock_time_millis_training 28462.97526359558 wall_clock_time_millis_training 27826.447010040283 wall_clock_time_millis_training 28080.724000930786 wall_clock_time_millis_training 27541.69273376465 wall_clock_time_millis_training 27533.716201782227 wall_clock_time_millis_training 27960.977792739868