10415160 1 Jan van Rijn 3510 Supervised Classification 16360 sklearn.svm.classes.SVC(32) 8252903 C 3471.837112617107 16360 cache_size 200 16360 class_weight null 16360 coef0 0.0 16360 decision_function_shape "ovr" 16360 degree 3 16360 gamma 0.00034229349508797124 16360 kernel "rbf" 16360 max_iter -1 16360 probability false 16360 random_state 3592 16360 shrinking true 16360 tol 0.0007428696257677634 16360 verbose false 16360 openml-python Sklearn_0.21.2. 375 JapaneseVowels https://www.openml.org/data/download/52415/JapaneseVowels.arff -1 21752129 description https://api.openml.org/data/download/21752129/description.xml -1 21752130 predictions https://api.openml.org/data/download/21752130/predictions.arff area_under_roc_curve 0.9831833868707297 [0.992264,0.981912,0.979626,0.990069,0.988354,0.99822,0.993305,0.955862,0.964787] average_cost 0 f_measure 0.969989270757751 [0.979647,0.954839,0.970662,0.986357,0.973316,0.996367,0.991416,0.923535,0.938776] kappa 0.9660065664231703 kb_relative_information_score 0.9679366411513658 mean_absolute_error 0.006670459235462736 mean_prior_absolute_error 0.19617789217468493 number_of_instances 9961 [1096,991,1614,1473,782,963,1170,1011,861] precision 0.9701029745674579 [0.9713,0.939453,0.977987,0.99109,0.967172,0.995851,0.99569,0.927218,0.942623] predictive_accuracy 0.9699829334404177 prior_entropy 3.1320692781356225 recall 0.9699829334404176 [0.988139,0.970737,0.963445,0.98167,0.97954,0.996885,0.987179,0.919881,0.934959] relative_absolute_error 0.03400209453531636 root_mean_prior_squared_error 0.31319057364154096 root_mean_squared_error 0.0816728794365837 root_relative_squared_error 0.2607769400175548 total_cost 0 area_under_roc_curve 0.9758147862408972 [0.996622,0.97256,0.969059,0.975173,0.992582,0.994792,0.990885,0.918217,0.978167] area_under_roc_curve 0.9870609152009323 [0.993722,0.983176,0.985781,0.996032,0.998909,1,0.995726,0.961995,0.962369] area_under_roc_curve 0.9848705512453846 [0.993197,0.99272,0.968345,0.996032,0.985546,0.999444,0.998862,0.965269,0.964017] area_under_roc_curve 0.9826931948702495 [0.98978,0.980947,0.977796,0.985217,0.998366,1,0.991453,0.950976,0.972349] area_under_roc_curve 0.9864588512414735 [0.98978,0.978126,0.992029,0.995421,0.998366,0.998889,0.987179,0.975729,0.952939] area_under_roc_curve 0.9809592016927288 [0.990345,0.977011,0.97411,0.992019,0.966315,1,0.994589,0.964152,0.960721] area_under_roc_curve 0.9815000062427744 [0.988652,0.988818,0.97351,0.992608,0.984456,0.994792,1,0.942193,0.963468] area_under_roc_curve 0.9851661966131944 [0.999436,0.972518,0.985294,0.989796,0.999455,0.999444,0.982906,0.966945,0.968732] area_under_roc_curve 0.9829915395700598 [0.992031,0.991605,0.98709,0.985806,0.97968,1,0.991453,0.951535,0.95867] area_under_roc_curve 0.9843372748776533 [0.989135,0.981652,0.983274,0.992608,0.97968,0.994845,1,0.961995,0.966535] 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 0.9567435183284765 [0.973214,0.917874,0.955975,0.969072,0.981132,0.994764,0.987124,0.886598,0.937853] f_measure 0.9768605727083294 [0.981818,0.969697,0.978193,0.993243,0.9875,1,0.995708,0.935323,0.935673] f_measure 0.9728456883273326 [0.977578,0.975124,0.964856,0.993243,0.968153,0.994819,0.991525,0.926829,0.952381] f_measure 0.9689927174035726 [0.981818,0.950495,0.974843,0.979452,0.981132,1,0.991379,0.915423,0.931818] f_measure 0.9758431094027262 [0.981818,0.964467,0.984615,0.989831,0.981132,0.989691,0.987013,0.941748,0.945455] f_measure 0.9660257357772779 [0.986301,0.954774,0.968553,0.986395,0.948052,1,0.987234,0.917874,0.91954] f_measure 0.9668594020606426 [0.972973,0.942308,0.965517,0.989761,0.955975,0.994764,1,0.913706,0.946746] f_measure 0.9739140184755528 [0.995475,0.954315,0.963415,0.989691,0.993631,0.994872,0.982609,0.940594,0.947368] f_measure 0.969821849078262 [0.96861,0.965517,0.972308,0.982818,0.967742,1,0.991379,0.92,0.946746] f_measure 0.9719882065571079 [0.977169,0.955665,0.978056,0.989761,0.967742,0.994819,1,0.935323,0.925714] kappa 0.9511785988003904 kappa 0.9738449857567748 kappa 0.9693069408634736 kappa 0.9647656118945159 kappa 0.9726995199802647 kappa 0.9613433924529207 kappa 0.9624815078625829 kappa 0.9704265065111706 kappa 0.9658794659017332 kappa 0.9681667456181904 kb_relative_information_score 0.9548897165592132 kb_relative_information_score 0.9750832732561829 kb_relative_information_score 0.9714960132280788 kb_relative_information_score 0.9674427178573342 kb_relative_information_score 0.9736128697330154 kb_relative_information_score 0.9632695203697719 kb_relative_information_score 0.9646434920189055 kb_relative_information_score 0.9720719313810933 kb_relative_information_score 0.9672889363116386 kb_relative_information_score 0.9695815358449736 mean_absolute_error 0.009584308480998548 mean_absolute_error 0.005131637661758145 mean_absolute_error 0.006024096385542171 mean_absolute_error 0.006916555109326196 mean_absolute_error 0.0053547523427041515 mean_absolute_error 0.0075858991521642145 mean_absolute_error 0.007362784471218208 mean_absolute_error 0.005800981704596164 mean_absolute_error 0.006693440428380189 mean_absolute_error 0.006247211066488177 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 0.9578764534037051 [0.947826,0.87963,0.968153,0.986014,0.975,1,0.991379,0.934783,0.912088] precision 0.9768733566673612 [0.972973,0.969697,0.98125,0.993243,0.975309,1,1,0.94,0.941176] precision 0.9733017901998512 [0.964602,0.960784,0.993421,0.993243,0.962025,0.989691,0.983193,0.913462,0.97561] precision 0.9694703449613481 [0.981818,0.932039,0.99359,0.986207,0.962963,1,1,0.92,0.911111] precision 0.9762744858675281 [0.981818,0.969388,0.981595,0.986486,0.962963,0.979592,1,0.92381,0.987342] precision 0.9664684643590542 [0.990826,0.95,0.987179,0.986395,0.960526,1,0.983051,0.896226,0.909091] precision 0.9676129152783717 [0.964286,0.899083,0.980892,0.993151,0.938272,1,1,0.9375,0.963855] precision 0.9741640054837781 [0.990991,0.959184,0.946108,1,0.987342,0.989796,1,0.940594,0.952941] precision 0.9702321313358689 [0.947368,0.942308,0.963415,0.993056,0.974026,1,1,0.929293,0.97561] precision 0.9722298141622366 [0.972727,0.941748,0.987342,0.993151,0.974026,1,1,0.94,0.910112] predictive_accuracy 0.9568706118355066 predictive_accuracy 0.9769076305220884 predictive_accuracy 0.9728915662650602 predictive_accuracy 0.9688755020080322 predictive_accuracy 0.9759036144578314 predictive_accuracy 0.9658634538152611 predictive_accuracy 0.9668674698795181 predictive_accuracy 0.9738955823293174 predictive_accuracy 0.9698795180722891 predictive_accuracy 0.9718875502008032 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 0.9568706118355065 [1,0.959596,0.944099,0.952703,0.987342,0.989583,0.982906,0.843137,0.965116] recall 0.9769076305220884 [0.990826,0.969697,0.975155,0.993243,1,1,0.991453,0.930693,0.930233] recall 0.9728915662650602 [0.990909,0.989899,0.937888,0.993243,0.974359,1,1,0.940594,0.930233] recall 0.9688755020080321 [0.981818,0.969697,0.95679,0.972789,1,1,0.982906,0.910891,0.953488] recall 0.9759036144578314 [0.981818,0.959596,0.987654,0.993197,1,1,0.974359,0.960396,0.906977] recall 0.9658634538152611 [0.981818,0.959596,0.950617,0.986395,0.935897,1,0.991453,0.940594,0.930233] recall 0.9668674698795181 [0.981818,0.989899,0.950617,0.986395,0.974359,0.989583,1,0.891089,0.930233] recall 0.9738955823293173 [1,0.949495,0.981366,0.979592,1,1,0.965812,0.940594,0.94186] recall 0.9698795180722891 [0.990826,0.989899,0.981366,0.972789,0.961538,1,0.982906,0.910891,0.91954] recall 0.9718875502008032 [0.981651,0.97,0.968944,0.986395,0.961538,0.989691,1,0.930693,0.94186] relative_absolute_error 0.04885373598721417 relative_absolute_error 0.026157770218630198 relative_absolute_error 0.030708047564107124 relative_absolute_error 0.03525795505685975 relative_absolute_error 0.027296481334343033 relative_absolute_error 0.03867001522365263 relative_absolute_error 0.037532661834721676 relative_absolute_error 0.029568992185810883 relative_absolute_error 0.034117153354152524 relative_absolute_error 0.031843148652729455 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 0.09789948151547355 root_mean_squared_error 0.07163544975609594 root_mean_squared_error 0.0776150525706333 root_mean_squared_error 0.08316582897636622 root_mean_squared_error 0.07317617332646024 root_mean_squared_error 0.08709706741426036 root_mean_squared_error 0.0858066691535 root_mean_squared_error 0.07616417599236641 root_mean_squared_error 0.08181344894563601 root_mean_squared_error 0.07903930077175643 root_relative_squared_error 0.31257826133724603 root_relative_squared_error 0.22872524961086552 root_relative_squared_error 0.24782643554867043 root_relative_squared_error 0.2655544486067419 root_relative_squared_error 0.2336567626155896 root_relative_squared_error 0.27810717451070993 root_relative_squared_error 0.27398684044037086 root_relative_squared_error 0.24317960936617858 root_relative_squared_error 0.2612098012336998 root_relative_squared_error 0.2523563845421697 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 2022.103958000116 usercpu_time_millis 2065.713355000298 usercpu_time_millis 2098.3403509999334 usercpu_time_millis 2052.941641999496 usercpu_time_millis 2080.3080390001014 usercpu_time_millis 2045.3787189999275 usercpu_time_millis 2002.553662000082 usercpu_time_millis 2066.7301160001443 usercpu_time_millis 2041.0827539999445 usercpu_time_millis 2016.700925999885 usercpu_time_millis_testing 115.51475300029779 usercpu_time_millis_testing 115.84991300014735 usercpu_time_millis_testing 116.2393500003418 usercpu_time_millis_testing 115.3310119998423 usercpu_time_millis_testing 115.8299740000075 usercpu_time_millis_testing 113.67095700006757 usercpu_time_millis_testing 115.37256800011164 usercpu_time_millis_testing 115.6538720001663 usercpu_time_millis_testing 115.24040199992669 usercpu_time_millis_testing 115.32147200023246 usercpu_time_millis_training 1906.5892049998183 usercpu_time_millis_training 1949.8634420001508 usercpu_time_millis_training 1982.1010009995916 usercpu_time_millis_training 1937.6106299996536 usercpu_time_millis_training 1964.478065000094 usercpu_time_millis_training 1931.70776199986 usercpu_time_millis_training 1887.1810939999705 usercpu_time_millis_training 1951.076243999978 usercpu_time_millis_training 1925.8423520000179 usercpu_time_millis_training 1901.3794539996525 wall_clock_time_millis 2022.23801612854 wall_clock_time_millis 2067.5196647644043 wall_clock_time_millis 2100.5024909973145 wall_clock_time_millis 2054.9111366271973 wall_clock_time_millis 2080.432415008545 wall_clock_time_millis 2047.013759613037 wall_clock_time_millis 2002.4676322937012 wall_clock_time_millis 2066.5977001190186 wall_clock_time_millis 2040.9798622131348 wall_clock_time_millis 2016.573190689087 wall_clock_time_millis_testing 115.51761627197266 wall_clock_time_millis_testing 115.84830284118652 wall_clock_time_millis_testing 116.23692512512207 wall_clock_time_millis_testing 115.32998085021973 wall_clock_time_millis_testing 115.83113670349121 wall_clock_time_millis_testing 113.67368698120117 wall_clock_time_millis_testing 115.3719425201416 wall_clock_time_millis_testing 115.65184593200684 wall_clock_time_millis_testing 115.2486801147461 wall_clock_time_millis_testing 115.31996726989746 wall_clock_time_millis_training 1906.7203998565674 wall_clock_time_millis_training 1951.6713619232178 wall_clock_time_millis_training 1984.2655658721924 wall_clock_time_millis_training 1939.5811557769775 wall_clock_time_millis_training 1964.6012783050537 wall_clock_time_millis_training 1933.340072631836 wall_clock_time_millis_training 1887.0956897735596 wall_clock_time_millis_training 1950.9458541870117 wall_clock_time_millis_training 1925.7311820983887 wall_clock_time_millis_training 1901.2532234191895