10559481 8323 Heinrich Peters 9960 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270239 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 0.1245563730317402 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.8010632981380832 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.2962905189710718 17495 kernel "poly" 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. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22043934 description https://api.openml.org/data/download/22043934/description.xml -1 22043935 predictions https://api.openml.org/data/download/22043935/predictions.arff area_under_roc_curve 0.7785844865409995 [0.725501,0.838144,0.840658,0.744436] average_cost 0 f_measure 0.5456861951373034 [0.627737,0.697383,0.30426,0.037402] kappa 0.33730638817686265 kb_relative_information_score 0.24165794168998528 mean_absolute_error 0.2767525120907208 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.5866935483870968 [0.702041,0.743443,0.228659,0.023002] number_of_instances 5456 [2205,2097,328,826] precision 0.5242794820666871 [0.567657,0.656698,0.454545,0.1] predictive_accuracy 0.5866935483870968 prior_entropy 1.7146330399083418 relative_absolute_error 0.8355091702086574 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.36964490337874417 root_relative_squared_error 0.9083444423629423 total_cost 0 unweighted_recall 0.42428619701217063 [0.702041,0.743443,0.228659,0.023002] area_under_roc_curve 0.7787345166619281 [0.726808,0.838875,0.820072,0.748029] area_under_roc_curve 0.787715991977782 [0.748124,0.842375,0.853151,0.728107] area_under_roc_curve 0.7730760167429835 [0.714571,0.829422,0.828342,0.763616] area_under_roc_curve 0.7857243089072247 [0.738985,0.846939,0.840806,0.732832] area_under_roc_curve 0.7656814887532416 [0.707948,0.833149,0.78841,0.738973] area_under_roc_curve 0.7759707689180414 [0.724136,0.82782,0.868214,0.745505] area_under_roc_curve 0.7808831156927757 [0.710378,0.845643,0.872259,0.768685] area_under_roc_curve 0.7850825071048796 [0.729401,0.849254,0.876584,0.736478] area_under_roc_curve 0.7813733751780416 [0.742193,0.829118,0.855824,0.735316] area_under_roc_curve 0.7748565703701764 [0.713843,0.842746,0.808357,0.752779] 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 0.5390559184601802 [0.629167,0.697168,0.218182,0.020408] f_measure 0.5632037314465278 [0.652344,0.709977,0.382979,0.019608] f_measure 0.5291582545721938 [0.591195,0.69697,0.327273,0.020408] f_measure 0.5540599953845468 [0.649087,0.724832,0.133333,0.037383] f_measure 0.5412625709900935 [0.623742,0.696629,0.259259,0.041667] f_measure 0.5493216870750864 [0.626506,0.689342,0.382979,0.056604] f_measure 0.5421193062666565 [0.612245,0.675615,0.384615,0.079208] f_measure 0.5616293140405704 [0.640974,0.704545,0.44,0.037383] f_measure 0.5408826544820317 [0.630928,0.694323,0.26087,0.019802] f_measure 0.5341901913435334 [0.619329,0.684807,0.238095,0.04] kappa 0.33267934966148316 kappa 0.36351616089112915 kappa 0.3156172161662693 kappa 0.3567762966788238 kappa 0.3338385629978394 kappa 0.3368480451430875 kappa 0.32506286311187205 kappa 0.3585340685563188 kappa 0.33296507503262873 kappa 0.31710957844387055 kb_relative_information_score 0.24298671820454001 kb_relative_information_score 0.2570184498700419 kb_relative_information_score 0.24284503708006192 kb_relative_information_score 0.23686925448277482 kb_relative_information_score 0.21928238053416038 kb_relative_information_score 0.24952603742385154 kb_relative_information_score 0.24744546635905132 kb_relative_information_score 0.2588057694974479 kb_relative_information_score 0.23266024408793864 kb_relative_information_score 0.229201782681939 mean_absolute_error 0.276393541664961 mean_absolute_error 0.2724138995188899 mean_absolute_error 0.2784717953865065 mean_absolute_error 0.27707771365405165 mean_absolute_error 0.28219932955903837 mean_absolute_error 0.2757540965546194 mean_absolute_error 0.27712143039510356 mean_absolute_error 0.27235843605925514 mean_absolute_error 0.27805445309258203 mean_absolute_error 0.2776771308868046 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.3311434139730841 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.33137469978129297 mean_prior_absolute_error 0.3311205766710351 mean_prior_absolute_error 0.3311024296804111 mean_prior_absolute_error 0.3311861074705109 mean_prior_absolute_error 0.3311861074705109 number_of_instances 546 [221,210,33,82] number_of_instances 546 [221,210,33,82] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 546 [220,210,33,83] number_of_instances 545 [220,210,32,83] number_of_instances 545 [221,209,32,83] number_of_instances 545 [221,209,33,82] number_of_instances 545 [221,209,33,82] precision 0.5089932580250995 [0.583012,0.64257,0.272727,0.0625] precision 0.5449213915623795 [0.573883,0.692308,0.642857,0.05] precision 0.5016490642949788 [0.548638,0.638889,0.409091,0.066667] precision 0.5268291197836337 [0.586081,0.683544,0.25,0.083333] precision 0.5226823483661123 [0.559567,0.659574,0.333333,0.153846] precision 0.5378670847302154 [0.561151,0.658009,0.642857,0.130435] precision 0.5329617156350405 [0.555556,0.637131,0.5,0.222222] precision 0.5414409494684724 [0.580882,0.670996,0.611111,0.083333] precision 0.5157503403381654 [0.579545,0.638554,0.461538,0.052632] precision 0.5225555939016868 [0.548951,0.650862,0.555556,0.111111] predictive_accuracy 0.5824175824175825 predictive_accuracy 0.6043956043956044 predictive_accuracy 0.5714285714285715 predictive_accuracy 0.5989010989010989 predictive_accuracy 0.5842490842490843 predictive_accuracy 0.5860805860805861 predictive_accuracy 0.5779816513761468 predictive_accuracy 0.5981651376146789 predictive_accuracy 0.5853211009174312 predictive_accuracy 0.5779816513761468 prior_entropy 1.7138246699606299 prior_entropy 1.7138246699606299 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7164171123716554 prior_entropy 1.7121302787024806 prior_entropy 1.711997401430895 prior_entropy 1.714437400963805 prior_entropy 1.714437400963805 relative_absolute_error 0.8346641666484319 relative_absolute_error 0.8226462856393459 relative_absolute_error 0.8403532181856299 relative_absolute_error 0.8361462532804186 relative_absolute_error 0.8516019169396145 relative_absolute_error 0.8321519317455945 relative_absolute_error 0.836919992049968 relative_absolute_error 0.8225806023898489 relative_absolute_error 0.8395716088946763 relative_absolute_error 0.8384323032376266 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.4068271240296317 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.40711128043132166 root_mean_prior_squared_error 0.4067990554858411 root_mean_prior_squared_error 0.40677675026179705 root_mean_prior_squared_error 0.4068795919478491 root_mean_prior_squared_error 0.4068795919478491 root_mean_squared_error 0.36984425113354324 root_mean_squared_error 0.3647630055013004 root_mean_squared_error 0.37183137472105865 root_mean_squared_error 0.3702076287823072 root_mean_squared_error 0.3765929219349687 root_mean_squared_error 0.3674569551594432 root_mean_squared_error 0.3677573753480666 root_mean_squared_error 0.3649709004618684 root_mean_squared_error 0.37131042784941354 root_mean_squared_error 0.3715547862645671 root_relative_squared_error 0.9090943776566021 root_relative_squared_error 0.8966044394688208 root_relative_squared_error 0.9133408790027014 root_relative_squared_error 0.9093524217508387 root_relative_squared_error 0.9250368143471246 root_relative_squared_error 0.9025958572558689 root_relative_squared_error 0.9040271121299754 root_relative_squared_error 0.8972265505021543 root_relative_squared_error 0.9125806140137043 root_relative_squared_error 0.9131811809135669 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 0.40979399605654987 [0.683258,0.761905,0.181818,0.012195] unweighted_recall 0.4422874829618015 [0.755656,0.728571,0.272727,0.012195] unweighted_recall 0.42308780576852867 [0.640909,0.766667,0.272727,0.012048] unweighted_recall 0.4034266937881396 [0.727273,0.771429,0.090909,0.024096] unweighted_recall 0.4197145725760184 [0.704545,0.738095,0.212121,0.024096] unweighted_recall 0.43544307098523966 [0.709091,0.72381,0.272727,0.036145] unweighted_recall 0.4403896429875345 [0.681818,0.719048,0.3125,0.048193] unweighted_recall 0.4561013266243436 [0.714932,0.741627,0.34375,0.024096] unweighted_recall 0.41177163657908206 [0.692308,0.760766,0.181818,0.012195] unweighted_recall 0.4022001683785268 [0.710407,0.722488,0.151515,0.02439] usercpu_time_millis 3990.072000000282 usercpu_time_millis 4108.282000000145 usercpu_time_millis 4190.3139999997165 usercpu_time_millis 4614.590000000135 usercpu_time_millis 4244.055999999773 usercpu_time_millis 4262.718000000177 usercpu_time_millis 4427.57000000006 usercpu_time_millis 4347.622000000229 usercpu_time_millis 4015.4899999997724 usercpu_time_millis 4182.944000000134 usercpu_time_millis_testing 57.02800000017305 usercpu_time_millis_testing 56.450000000040745 usercpu_time_millis_testing 67.9619999998522 usercpu_time_millis_testing 61.598000000003594 usercpu_time_millis_testing 59.955999999829146 usercpu_time_millis_testing 64.48999999997795 usercpu_time_millis_testing 62.1640000001662 usercpu_time_millis_testing 56.89000000006672 usercpu_time_millis_testing 56.80199999983415 usercpu_time_millis_testing 63.992000000098415 usercpu_time_millis_training 3933.044000000109 usercpu_time_millis_training 4051.832000000104 usercpu_time_millis_training 4122.351999999864 usercpu_time_millis_training 4552.992000000131 usercpu_time_millis_training 4184.099999999944 usercpu_time_millis_training 4198.228000000199 usercpu_time_millis_training 4365.4059999998935 usercpu_time_millis_training 4290.732000000162 usercpu_time_millis_training 3958.6879999999383 usercpu_time_millis_training 4118.952000000036 wall_clock_time_millis 2134.089946746826 wall_clock_time_millis 2203.5651206970215 wall_clock_time_millis 2226.0806560516357 wall_clock_time_millis 2569.4379806518555 wall_clock_time_millis 2345.9134101867676 wall_clock_time_millis 2352.3411750793457 wall_clock_time_millis 2545.9678173065186 wall_clock_time_millis 2374.634265899658 wall_clock_time_millis 2181.6399097442627 wall_clock_time_millis 2305.15193939209 wall_clock_time_millis_testing 29.98495101928711 wall_clock_time_millis_testing 31.80408477783203 wall_clock_time_millis_testing 36.28969192504883 wall_clock_time_millis_testing 33.70404243469238 wall_clock_time_millis_testing 31.037092208862305 wall_clock_time_millis_testing 37.12725639343262 wall_clock_time_millis_testing 33.73908996582031 wall_clock_time_millis_testing 29.471158981323242 wall_clock_time_millis_testing 30.539989471435547 wall_clock_time_millis_testing 43.36404800415039 wall_clock_time_millis_training 2104.104995727539 wall_clock_time_millis_training 2171.7610359191895 wall_clock_time_millis_training 2189.790964126587 wall_clock_time_millis_training 2535.733938217163 wall_clock_time_millis_training 2314.8763179779053 wall_clock_time_millis_training 2315.213918685913 wall_clock_time_millis_training 2512.2287273406982 wall_clock_time_millis_training 2345.163106918335 wall_clock_time_millis_training 2151.099920272827 wall_clock_time_millis_training 2261.7878913879395 weighted_recall 0.5824175824175825 [0.683258,0.761905,0.181818,0.012195] weighted_recall 0.6043956043956044 [0.755656,0.728571,0.272727,0.012195] weighted_recall 0.5714285714285714 [0.640909,0.766667,0.272727,0.012048] weighted_recall 0.5989010989010989 [0.727273,0.771429,0.090909,0.024096] weighted_recall 0.5842490842490843 [0.704545,0.738095,0.212121,0.024096] weighted_recall 0.5860805860805861 [0.709091,0.72381,0.272727,0.036145] weighted_recall 0.5779816513761468 [0.681818,0.719048,0.3125,0.048193] weighted_recall 0.5981651376146789 [0.714932,0.741627,0.34375,0.024096] weighted_recall 0.5853211009174312 [0.692308,0.760766,0.181818,0.012195] weighted_recall 0.5779816513761468 [0.710407,0.722488,0.151515,0.02439]