10558909 8323 Heinrich Peters 6 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270395 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 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"}}] 17494 verbose false 17494 C 15.690273823876444 17495 cache_size 200 17495 class_weight null 17495 coef0 0.30581799832036705 17495 decision_function_shape "ovr" 17495 degree 2 17495 gamma 1.0669788592014713 17495 kernel "rbf" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 6 letter https://www.openml.org/data/download/6/dataset_6_letter.arff -1 22042782 description https://api.openml.org/data/download/22042782/description.xml -1 22042783 predictions https://api.openml.org/data/download/22042783/predictions.arff area_under_roc_curve 0.9990790408260393 [0.999975,0.998813,0.999706,0.999411,0.998343,0.998318,0.998795,0.996734,0.999493,0.998349,0.997207,0.999824,0.999406,0.999147,0.99971,0.998414,0.999385,0.998513,0.999811,0.998705,0.999796,0.999344,0.999881,0.999829,0.999384,0.999599] average_cost 0 f_measure 0.9612479169569932 [0.987277,0.950884,0.972715,0.956037,0.959318,0.957087,0.967033,0.916094,0.962815,0.957519,0.930988,0.982759,0.884835,0.96857,0.961385,0.958333,0.962821,0.938936,0.983188,0.977215,0.983344,0.966013,0.977181,0.969309,0.978316,0.980822] kappa 0.9593341586263031 kb_relative_information_score 0.9463052107026972 mean_absolute_error 0.006573856085352982 mean_prior_absolute_error 0.07396191835229461 weighted_recall 0.9609 [0.983523,0.947781,0.96875,0.959006,0.951823,0.949677,0.967658,0.907357,0.960265,0.950469,0.930988,0.973719,0.979798,0.96424,0.958831,0.945205,0.959132,0.943272,0.977273,0.969849,0.98032,0.967277,0.968085,0.963151,0.975827,0.975477] number_of_instances 20000 [789,766,736,805,768,775,773,734,755,747,739,761,792,783,753,803,783,758,748,796,813,764,752,787,786,734] precision 0.9623303222951368 [0.99106,0.954008,0.976712,0.953086,0.966931,0.964613,0.966408,0.925,0.965379,0.964674,0.930988,0.991968,0.806653,0.972938,0.963952,0.971831,0.966538,0.934641,0.989175,0.984694,0.986386,0.964752,0.98645,0.975547,0.980818,0.986226] predictive_accuracy 0.9609000000000001 prior_entropy 4.6998107276322685 relative_absolute_error 0.08888163303229185 root_mean_prior_squared_error 0.19230433563020993 root_mean_squared_error 0.05339848158411699 root_relative_squared_error 0.27767695101164624 total_cost 0 unweighted_recall 0.9607212982050052 [0.983523,0.947781,0.96875,0.959006,0.951823,0.949677,0.967658,0.907357,0.960265,0.950469,0.930988,0.973719,0.979798,0.96424,0.958831,0.945205,0.959132,0.943272,0.977273,0.969849,0.98032,0.967277,0.968085,0.963151,0.975827,0.975477] area_under_roc_curve 0.9990096263818263 [0.999987,0.999703,0.999888,0.999749,0.99792,0.999642,0.999926,0.999559,0.999138,0.991117,0.990738,1,0.999914,0.999887,0.999785,0.999909,0.998199,0.99959,0.999958,0.999822,0.999975,0.999507,0.999938,0.999893,0.999928,0.999895] area_under_roc_curve 0.9992045112596808 [1,0.997657,0.999902,0.999698,0.99817,0.999163,0.997474,0.999111,0.99985,0.999839,0.998344,0.998899,0.999928,0.999796,0.999806,0.99582,1,0.999364,0.99939,0.999947,1,0.999014,0.999896,0.99969,0.998649,0.999993] area_under_roc_curve 0.9989597096718451 [0.999974,0.996981,0.999895,0.999659,0.999624,0.999807,0.997778,0.99427,0.997777,0.998681,0.998569,0.99985,0.999921,0.999862,0.999792,0.998828,0.997752,0.999077,0.999972,0.999519,0.998643,0.999872,1,0.999789,0.999631,0.997081] area_under_roc_curve 0.9992552279272748 [1,0.999581,0.999804,0.999714,0.996293,0.999613,0.999932,0.997142,0.999802,0.999806,0.99796,0.999979,0.999974,0.999796,0.99964,0.999316,0.999633,0.996348,0.999979,0.998122,1,0.999048,0.999487,0.999829,0.999868,0.999698] area_under_roc_curve 0.9993529410973824 [1,0.999365,0.999958,0.999492,0.99975,0.997986,0.997724,0.998166,0.999767,0.999536,0.997818,0.999973,0.998437,0.99988,0.999903,0.999043,0.999987,0.99708,0.999917,0.999883,0.999826,0.999699,0.999979,0.99998,0.999967,0.999993] area_under_roc_curve 0.9988645222608449 [0.99998,0.99881,0.99993,0.999355,0.999872,0.9996,0.997298,0.996147,0.999688,0.999425,0.99819,1,0.999723,0.994884,0.999508,0.999857,0.999842,0.99974,0.999917,0.991517,0.999929,0.998277,0.999931,0.999624,0.99968,0.999929] area_under_roc_curve 0.9989625009163637 [0.999934,0.99972,0.997988,0.999642,0.997346,0.999827,0.999486,0.997186,0.999674,0.997029,0.994731,0.999986,0.996725,0.99968,0.999521,0.998535,0.999848,0.998612,0.999931,0.999805,0.999961,0.999692,0.999931,0.999677,0.998279,0.999979] area_under_roc_curve 0.9987970433555567 [0.99996,0.999904,0.999815,0.997891,0.995907,0.989262,0.999646,0.997509,0.999917,0.999778,0.999551,0.999884,0.999987,0.999593,0.999439,0.994783,0.999453,0.999631,0.999397,0.999987,0.999807,0.999644,0.99991,0.999993,0.998359,0.999986] area_under_roc_curve 0.9991523396568641 [0.999993,0.996923,0.99995,0.99962,0.999041,0.998859,0.99975,0.993096,0.999633,0.998843,0.99779,0.99998,0.999624,0.999893,0.999882,0.999016,0.99984,0.998823,0.999903,0.998704,0.999911,0.99896,0.999986,0.99998,0.999723,0.999915] area_under_roc_curve 0.9993559105119506 [0.999934,0.999588,0.999979,0.999665,0.999926,0.999439,0.999102,0.994668,0.999792,0.999938,0.998169,0.999911,0.999776,0.997939,0.999758,0.999678,0.99992,0.99619,0.999986,0.999967,0.999987,0.999925,0.999966,0.999867,0.99996,0.999915] 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 0.9667895571957063 [0.987179,0.967742,0.966443,0.9625,0.966887,0.961039,0.987013,0.966443,0.927152,0.924138,0.959459,1,0.891429,0.987179,0.966887,0.968944,0.954248,0.96732,0.980132,0.974026,0.993939,0.986842,0.972973,0.967742,0.980892,0.965517] f_measure 0.9650037634661862 [0.987013,0.948718,0.973684,0.952381,0.96732,0.923077,0.96732,0.929577,0.980392,0.979592,0.92517,0.980132,0.939759,0.968553,0.951724,0.941176,1,0.948052,0.993289,0.981132,0.993865,0.960526,0.966443,0.961538,0.975,0.993197] f_measure 0.9538461641290016 [0.981132,0.954839,0.993289,0.951807,0.953642,0.96732,0.929032,0.884354,0.945946,0.947368,0.938776,0.952381,0.877193,0.961538,0.966443,0.974684,0.916129,0.922078,0.97931,0.987179,0.962963,0.9625,0.979592,0.961538,0.980892,0.965517] f_measure 0.9629638498595592 [0.993631,0.933333,0.937063,0.969325,0.960526,0.955975,0.987013,0.902778,0.973333,0.979866,0.92517,0.987013,0.928571,0.967742,0.953642,0.955414,0.974684,0.945946,0.986486,0.974359,0.987805,0.974359,0.960526,0.967742,0.987342,0.960526] f_measure 0.9604628817990205 [1,0.935065,0.97931,0.948718,0.944099,0.947368,0.96732,0.937063,0.96,0.939597,0.913907,0.986667,0.88764,0.967742,0.973684,0.9625,0.987013,0.929936,0.965986,0.974684,0.968553,0.961039,0.986667,0.974026,0.987013,0.986301] f_measure 0.9576737264958511 [0.987342,0.959459,0.965986,0.936709,0.96,0.954839,0.955414,0.911565,0.966443,0.966887,0.890411,0.993377,0.850829,0.974359,0.946667,0.981132,0.974684,0.960526,0.979592,0.974684,0.9875,0.941935,0.972973,0.95,0.974026,0.97931] f_measure 0.9544746577171631 [0.974359,0.966887,0.972222,0.962025,0.960526,0.974684,0.961538,0.90411,0.96732,0.937063,0.90411,0.986667,0.819149,0.962025,0.947368,0.954839,0.954839,0.92,0.986667,0.962963,0.993789,0.96,0.972603,0.955975,0.961538,0.993103] f_measure 0.9609482215514344 [0.981132,0.973684,0.966443,0.956522,0.92517,0.96,0.974359,0.937931,0.972973,0.96732,0.940397,0.980132,0.877778,0.954248,0.96,0.926829,0.942675,0.954248,0.986486,0.987342,0.968944,0.96,0.979592,1,0.961039,0.993103] f_measure 0.9670092662170031 [0.987179,0.926174,0.986111,0.969325,0.96732,0.95302,0.974684,0.893617,0.947368,0.945205,0.965986,1,0.912281,0.980645,0.986667,0.968944,0.967742,0.935065,0.986842,0.968553,0.993939,0.973333,0.993377,0.980892,0.981366,0.993197] f_measure 0.963454023822458 [0.993711,0.942675,0.986111,0.950617,0.987013,0.973684,0.966887,0.893333,0.986842,0.986486,0.945946,0.959459,0.875,0.961538,0.960526,0.948718,0.955975,0.905405,0.986667,0.9875,0.981366,0.980132,0.986842,0.974026,0.993631,0.979021] kappa 0.9651585972851268 kappa 0.9635982978564077 kappa 0.9516377637301949 kappa 0.9615183406708497 kappa 0.9583983359334373 kappa 0.9552778855384282 kappa 0.951637260734448 kappa 0.9589180362821343 kappa 0.9656781363228023 kappa 0.9615182906424703 kb_relative_information_score 0.9513149915692344 kb_relative_information_score 0.9473951012725247 kb_relative_information_score 0.9444701355783783 kb_relative_information_score 0.949503649114371 kb_relative_information_score 0.9490496360935363 kb_relative_information_score 0.943623448605679 kb_relative_information_score 0.9404588571767347 kb_relative_information_score 0.9482056934210652 kb_relative_information_score 0.9462807983081319 kb_relative_information_score 0.9427497506477487 mean_absolute_error 0.00601015921164577 mean_absolute_error 0.006636157301625547 mean_absolute_error 0.006545545895112517 mean_absolute_error 0.006443246949207677 mean_absolute_error 0.00630910994413986 mean_absolute_error 0.006728364144529369 mean_absolute_error 0.007132155133825199 mean_absolute_error 0.006351262784293876 mean_absolute_error 0.00656839780510432 mean_absolute_error 0.007014161684045677 mean_prior_absolute_error 0.07396194754511427 mean_prior_absolute_error 0.07396200900367966 mean_prior_absolute_error 0.07396191681583157 mean_prior_absolute_error 0.07396192641873242 mean_prior_absolute_error 0.07396195714801512 mean_prior_absolute_error 0.07396196483033579 mean_prior_absolute_error 0.07396196867149613 mean_prior_absolute_error 0.07396191489525139 mean_prior_absolute_error 0.07396179389870075 mean_prior_absolute_error 0.0739617842957999 number_of_instances 2000 [79,77,74,81,77,77,77,73,76,74,74,76,79,78,75,80,78,76,75,79,82,77,75,78,79,74] number_of_instances 2000 [78,77,74,81,77,77,77,73,76,74,74,76,79,79,75,80,78,76,75,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,81,76,78,77,73,76,74,74,76,79,79,75,80,78,76,74,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,80,76,78,77,73,76,75,73,76,80,79,75,80,78,76,74,79,81,77,75,79,79,74] number_of_instances 2000 [79,77,74,80,77,78,77,73,76,75,74,76,80,78,75,80,78,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,74,80,77,78,78,73,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,80,77,78,78,74,75,75,74,76,79,78,76,80,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,80,77,77,78,74,75,75,74,76,79,78,76,81,79,76,75,80,81,76,75,79,78,73] number_of_instances 2000 [79,76,73,81,77,77,77,74,75,75,74,77,79,78,75,81,78,75,75,80,82,76,76,78,79,73] number_of_instances 2000 [79,77,73,81,77,77,77,74,75,75,74,76,79,78,75,81,78,75,75,80,82,76,76,78,79,73] precision 0.9680311962472277 [1,0.961538,0.96,0.974684,0.986486,0.961039,0.987013,0.947368,0.933333,0.943662,0.959459,1,0.8125,0.987179,0.960526,0.962963,0.973333,0.961039,0.973684,1,0.987952,1,0.986301,0.974026,0.987179,0.985915] precision 0.9657502608599982 [1,0.936709,0.948718,0.91954,0.973684,0.911392,0.973684,0.956522,0.974026,0.986301,0.931507,0.986667,0.896552,0.9625,0.985714,0.986301,1,0.935897,1,0.975,0.987805,0.973333,0.972973,0.974026,0.962963,1] precision 0.9551438564645073 [0.975,0.948718,0.986667,0.929412,0.96,0.986667,0.923077,0.878378,0.972222,0.923077,0.945205,0.985915,0.815217,0.974026,0.972973,0.987179,0.922078,0.910256,1,1,0.962963,0.927711,1,0.974026,0.987179,0.985915] precision 0.9635852386554836 [1,0.958904,0.971014,0.951807,0.960526,0.938272,0.987013,0.915493,0.986486,0.986486,0.918919,0.974359,0.886364,0.986842,0.947368,0.974026,0.9625,0.972222,0.986486,0.987013,0.975904,0.962025,0.948052,0.986842,0.987342,0.935897] precision 0.9622671771944015 [1,0.935065,1,0.973684,0.904762,0.972973,0.973684,0.957143,0.972973,0.945946,0.896104,1,0.806122,0.974026,0.961039,0.9625,1,0.901235,0.986111,0.987179,0.987179,0.948718,0.986667,1,1,0.986301] precision 0.9597427673804834 [0.987342,0.986111,0.972603,0.948718,0.986301,0.961039,0.949367,0.905405,0.972973,0.960526,0.902778,1,0.754902,0.974359,0.959459,0.987342,0.974684,0.960526,1,0.987179,1,0.924051,0.986301,0.938272,0.986842,0.986111] precision 0.9576636218767878 [0.987013,0.973333,0.985915,0.974359,0.973333,0.9625,0.961538,0.916667,0.948718,0.985294,0.916667,1,0.706422,0.95,0.947368,0.986667,0.973684,0.932432,0.986667,0.95122,1,0.972973,1,0.95,0.961538,1] precision 0.9629466421916476 [0.975,0.973684,0.947368,0.950617,0.971429,0.986301,0.974359,0.957746,0.986301,0.948718,0.922078,0.986667,0.782178,0.973333,0.972973,0.915663,0.948718,0.948052,1,1,0.975,0.972973,1,1,0.973684,1] precision 0.9679874139195518 [1,0.945205,1,0.963415,0.973684,0.986111,0.950617,0.940299,0.935065,0.971831,0.972603,1,0.847826,0.987013,0.986667,0.975,0.974026,0.911392,0.974026,0.974684,0.987952,0.986486,1,0.974684,0.963415,0.986486] precision 0.9650599581026322 [0.9875,0.925,1,0.950617,0.987013,0.986667,0.986486,0.881579,0.974026,1,0.945946,0.986111,0.793814,0.961538,0.948052,0.986667,0.938272,0.917808,0.986667,0.9875,1,0.986667,0.986842,0.986842,1,1] predictive_accuracy 0.9665 predictive_accuracy 0.965 predictive_accuracy 0.9534999999999999 predictive_accuracy 0.963 predictive_accuracy 0.96 predictive_accuracy 0.9570000000000001 predictive_accuracy 0.9534999999999999 predictive_accuracy 0.9605 predictive_accuracy 0.9670000000000001 predictive_accuracy 0.963 prior_entropy 4.699825815607033 prior_entropy 4.699854731688913 prior_entropy 4.699809751694497 prior_entropy 4.699813724681224 prior_entropy 4.6998289081692235 prior_entropy 4.699832499136173 prior_entropy 4.69983445932086 prior_entropy 4.699808889896364 prior_entropy 4.69975160696033 prior_entropy 4.699746889170326 relative_absolute_error 0.08126015351312615 relative_absolute_error 0.08972386487359196 relative_absolute_error 0.08849886775394443 relative_absolute_error 0.08711572644456958 relative_absolute_error 0.08530209566404334 relative_absolute_error 0.09097059765737463 relative_absolute_error 0.09643003373129287 relative_absolute_error 0.08587207069055548 relative_absolute_error 0.08880798394506902 relative_absolute_error 0.09483494416513143 root_mean_prior_squared_error 0.1923044115328483 root_mean_prior_squared_error 0.19230457132777806 root_mean_prior_squared_error 0.19230433163533361 root_mean_prior_squared_error 0.19230435660331052 root_mean_prior_squared_error 0.19230443650081483 root_mean_prior_squared_error 0.19230445647518574 root_mean_prior_squared_error 0.1923044664623704 root_mean_prior_squared_error 0.19230432664173788 root_mean_prior_squared_error 0.192304012044943 root_mean_prior_squared_error 0.19230398707692134 root_mean_squared_error 0.05081511913827463 root_mean_squared_error 0.05340396544516778 root_mean_squared_error 0.05497947203752792 root_mean_squared_error 0.051938356863096384 root_mean_squared_error 0.052204820100391416 root_mean_squared_error 0.05409508661283611 root_mean_squared_error 0.05615828660930691 root_mean_squared_error 0.052581925935616766 root_mean_squared_error 0.053389057667457405 root_mean_squared_error 0.05421123528797821 root_relative_squared_error 0.2642431275144964 root_relative_squared_error 0.27770512721791796 root_relative_squared_error 0.2858982508089595 root_relative_squared_error 0.2700841404765255 root_relative_squared_error 0.27146966055653227 root_relative_squared_error 0.2812991836193684 root_relative_squared_error 0.2920279889614307 root_relative_squared_error 0.2734308003042316 root_relative_squared_error 0.27762841294741136 root_relative_squared_error 0.2819038549954442 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 unweighted_recall 0.9663571714554228 [0.974684,0.974026,0.972973,0.950617,0.948052,0.961039,0.987013,0.986301,0.921053,0.905405,0.959459,1,0.987342,0.987179,0.973333,0.975,0.935897,0.973684,0.986667,0.949367,1,0.974026,0.96,0.961538,0.974684,0.945946] unweighted_recall 0.9647896260235606 [0.974359,0.961039,1,0.987654,0.961039,0.935065,0.961039,0.90411,0.986842,0.972973,0.918919,0.973684,0.987342,0.974684,0.92,0.9,1,0.960526,0.986667,0.987342,1,0.948052,0.96,0.949367,0.987342,0.986486] unweighted_recall 0.953290998724617 [0.987342,0.961039,1,0.975309,0.947368,0.948718,0.935065,0.890411,0.921053,0.972973,0.932432,0.921053,0.949367,0.949367,0.96,0.9625,0.910256,0.934211,0.959459,0.974684,0.962963,1,0.96,0.949367,0.974684,0.945946] unweighted_recall 0.9626602499635445 [0.987342,0.909091,0.905405,0.9875,0.960526,0.974359,0.987013,0.890411,0.960526,0.973333,0.931507,1,0.975,0.949367,0.96,0.9375,0.987179,0.921053,0.986486,0.962025,1,0.987013,0.973333,0.949367,0.987342,0.986486] unweighted_recall 0.95994356004498 [1,0.935065,0.959459,0.925,0.987013,0.923077,0.961039,0.917808,0.947368,0.933333,0.932432,0.973684,0.9875,0.961538,0.986667,0.9625,0.974359,0.960526,0.946667,0.9625,0.950617,0.973684,0.986667,0.949367,0.974359,0.986301] unweighted_recall 0.9567561353830094 [0.987342,0.934211,0.959459,0.925,0.935065,0.948718,0.961538,0.917808,0.96,0.973333,0.878378,0.986842,0.974684,0.974359,0.934211,0.975,0.974684,0.960526,0.96,0.9625,0.975309,0.960526,0.96,0.962025,0.961538,0.972603] unweighted_recall 0.953266515133154 [0.962025,0.960526,0.958904,0.95,0.948052,0.987179,0.961538,0.891892,0.986667,0.893333,0.891892,0.973684,0.974684,0.974359,0.947368,0.925,0.936709,0.907895,0.986667,0.975,0.987654,0.947368,0.946667,0.962025,0.961538,0.986301] unweighted_recall 0.9605213105777145 [0.987342,0.973684,0.986301,0.9625,0.883117,0.935065,0.974359,0.918919,0.96,0.986667,0.959459,0.973684,1,0.935897,0.947368,0.938272,0.936709,0.960526,0.973333,0.975,0.962963,0.947368,0.96,1,0.948718,0.986301] unweighted_recall 0.9667051577956158 [0.974684,0.907895,0.972603,0.975309,0.961039,0.922078,1,0.851351,0.96,0.92,0.959459,1,0.987342,0.974359,0.986667,0.962963,0.961538,0.96,1,0.9625,1,0.960526,0.986842,0.987179,1,1] unweighted_recall 0.9629222286724363 [1,0.961039,0.972603,0.950617,0.987013,0.961039,0.948052,0.905405,1,0.973333,0.945946,0.934211,0.974684,0.961538,0.973333,0.91358,0.974359,0.893333,0.986667,0.9875,0.963415,0.973684,0.986842,0.961538,0.987342,0.958904] usercpu_time_millis 261074.9999999989 usercpu_time_millis 248725.2179999996 usercpu_time_millis 294123.27199999895 usercpu_time_millis 244884.46399999884 usercpu_time_millis 255910.9720000015 usercpu_time_millis 279170.8619999954 usercpu_time_millis 308542.9600000025 usercpu_time_millis 293861.18399999756 usercpu_time_millis 293540.11600000015 usercpu_time_millis 248078.56800000445 usercpu_time_millis_testing 2586.594000000332 usercpu_time_millis_testing 3257.8599999997095 usercpu_time_millis_testing 3063.028000000486 usercpu_time_millis_testing 3397.057999998651 usercpu_time_millis_testing 3987.3440000010305 usercpu_time_millis_testing 4209.157999997842 usercpu_time_millis_testing 3874.362000002293 usercpu_time_millis_testing 3847.065999998449 usercpu_time_millis_testing 3381.5360000007786 usercpu_time_millis_testing 3045.06400000173 usercpu_time_millis_training 258488.40599999856 usercpu_time_millis_training 245467.3579999999 usercpu_time_millis_training 291060.24399999843 usercpu_time_millis_training 241487.4060000002 usercpu_time_millis_training 251923.62800000046 usercpu_time_millis_training 274961.7039999976 usercpu_time_millis_training 304668.59800000023 usercpu_time_millis_training 290014.11799999914 usercpu_time_millis_training 290158.5799999994 usercpu_time_millis_training 245033.50400000272 wall_clock_time_millis 134210.48593521118 wall_clock_time_millis 127028.45120429993 wall_clock_time_millis 176718.86777877808 wall_clock_time_millis 127726.61113739014 wall_clock_time_millis 132858.18195343018 wall_clock_time_millis 158549.2238998413 wall_clock_time_millis 196717.10801124573 wall_clock_time_millis 187121.82688713074 wall_clock_time_millis 184897.14217185974 wall_clock_time_millis 144174.85880851746 wall_clock_time_millis_testing 1310.472011566162 wall_clock_time_millis_testing 1651.4501571655273 wall_clock_time_millis_testing 1624.3069171905518 wall_clock_time_millis_testing 1719.6340560913086 wall_clock_time_millis_testing 2211.2410068511963 wall_clock_time_millis_testing 2489.4089698791504 wall_clock_time_millis_testing 2456.0961723327637 wall_clock_time_millis_testing 2450.1118659973145 wall_clock_time_millis_testing 2044.0740585327148 wall_clock_time_millis_testing 1758.3448886871338 wall_clock_time_millis_training 132900.01392364502 wall_clock_time_millis_training 125377.0010471344 wall_clock_time_millis_training 175094.56086158752 wall_clock_time_millis_training 126006.97708129883 wall_clock_time_millis_training 130646.94094657898 wall_clock_time_millis_training 156059.81492996216 wall_clock_time_millis_training 194261.01183891296 wall_clock_time_millis_training 184671.71502113342 wall_clock_time_millis_training 182853.06811332703 wall_clock_time_millis_training 142416.51391983032 weighted_recall 0.9665 [0.974684,0.974026,0.972973,0.950617,0.948052,0.961039,0.987013,0.986301,0.921053,0.905405,0.959459,1,0.987342,0.987179,0.973333,0.975,0.935897,0.973684,0.986667,0.949367,1,0.974026,0.96,0.961538,0.974684,0.945946] weighted_recall 0.965 [0.974359,0.961039,1,0.987654,0.961039,0.935065,0.961039,0.90411,0.986842,0.972973,0.918919,0.973684,0.987342,0.974684,0.92,0.9,1,0.960526,0.986667,0.987342,1,0.948052,0.96,0.949367,0.987342,0.986486] weighted_recall 0.9535 [0.987342,0.961039,1,0.975309,0.947368,0.948718,0.935065,0.890411,0.921053,0.972973,0.932432,0.921053,0.949367,0.949367,0.96,0.9625,0.910256,0.934211,0.959459,0.974684,0.962963,1,0.96,0.949367,0.974684,0.945946] weighted_recall 0.963 [0.987342,0.909091,0.905405,0.9875,0.960526,0.974359,0.987013,0.890411,0.960526,0.973333,0.931507,1,0.975,0.949367,0.96,0.9375,0.987179,0.921053,0.986486,0.962025,1,0.987013,0.973333,0.949367,0.987342,0.986486] weighted_recall 0.96 [1,0.935065,0.959459,0.925,0.987013,0.923077,0.961039,0.917808,0.947368,0.933333,0.932432,0.973684,0.9875,0.961538,0.986667,0.9625,0.974359,0.960526,0.946667,0.9625,0.950617,0.973684,0.986667,0.949367,0.974359,0.986301] weighted_recall 0.957 [0.987342,0.934211,0.959459,0.925,0.935065,0.948718,0.961538,0.917808,0.96,0.973333,0.878378,0.986842,0.974684,0.974359,0.934211,0.975,0.974684,0.960526,0.96,0.9625,0.975309,0.960526,0.96,0.962025,0.961538,0.972603] weighted_recall 0.9535 [0.962025,0.960526,0.958904,0.95,0.948052,0.987179,0.961538,0.891892,0.986667,0.893333,0.891892,0.973684,0.974684,0.974359,0.947368,0.925,0.936709,0.907895,0.986667,0.975,0.987654,0.947368,0.946667,0.962025,0.961538,0.986301] weighted_recall 0.9605 [0.987342,0.973684,0.986301,0.9625,0.883117,0.935065,0.974359,0.918919,0.96,0.986667,0.959459,0.973684,1,0.935897,0.947368,0.938272,0.936709,0.960526,0.973333,0.975,0.962963,0.947368,0.96,1,0.948718,0.986301] weighted_recall 0.967 [0.974684,0.907895,0.972603,0.975309,0.961039,0.922078,1,0.851351,0.96,0.92,0.959459,1,0.987342,0.974359,0.986667,0.962963,0.961538,0.96,1,0.9625,1,0.960526,0.986842,0.987179,1,1] weighted_recall 0.963 [1,0.961039,0.972603,0.950617,0.987013,0.961039,0.948052,0.905405,1,0.973333,0.945946,0.934211,0.974684,0.961538,0.973333,0.91358,0.974359,0.893333,0.986667,0.9875,0.963415,0.973684,0.986842,0.961538,0.987342,0.958904]