10330494 8323 Heinrich Peters 9910 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186088 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 1186.1858782558738 13389 cache_size 200 13389 class_weight null 13389 coef0 0.7713422589105245 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.09011693632866666 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 56887 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 21582686 description https://api.openml.org/data/download/21582686/description.xml -1 21582687 predictions https://api.openml.org/data/download/21582687/predictions.arff area_under_roc_curve 0.5265072967473738 [0.526507,0.526507] average_cost 0 f_measure 0.43753175812620804 [0.111354,0.712875] kappa 0.057171292166248174 kb_relative_information_score 0.1229576735821919 mean_absolute_error 0.4340175953079179 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7074016938860787 [0.886957,0.555831] predictive_accuracy 0.5659824046920822 prior_entropy 0.9948419333531207 recall 0.5659824046920822 [0.059406,0.993609] relative_absolute_error 0.8742760077367148 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.6588001178718155 root_relative_squared_error 1.3223307887481304 total_cost 0 area_under_roc_curve 0.5319767441860465 [0.531977,0.531977] area_under_roc_curve 0.5212366823232902 [0.521237,0.521237] area_under_roc_curve 0.5236997365104823 [0.5237,0.5237] area_under_roc_curve 0.5261627906976745 [0.526163,0.526163] area_under_roc_curve 0.5295136899988544 [0.529514,0.529514] area_under_roc_curve 0.5304015351128423 [0.530402,0.530402] area_under_roc_curve 0.5145348837209303 [0.514535,0.514535] area_under_roc_curve 0.5238648090815273 [0.523865,0.523865] area_under_roc_curve 0.5340557275541794 [0.534056,0.534056] area_under_roc_curve 0.5297127622979017 [0.529713,0.529713] 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 0.4440299887473746 [0.120219,0.717047] f_measure 0.42891722323416315 [0.098361,0.708995] f_measure 0.43039550121240255 [0.098901,0.711268] f_measure 0.43187219347050004 [0.099448,0.713533] f_measure 0.4412339837148564 [0.119565,0.713781] f_measure 0.448723252820474 [0.138298,0.711744] f_measure 0.4094759073564646 [0.056497,0.708551] f_measure 0.43350975346881704 [0.099448,0.713533] f_measure 0.4605714285714286 [0.157895,0.714286] f_measure 0.44435053632867844 [0.120219,0.716049] kappa 0.06902066929133856 kappa 0.04574266282136321 kappa 0.0510723653757136 kappa 0.05640716898995046 kappa 0.06354051054384018 kappa 0.06532709705212625 kappa 0.03139741705977878 kappa 0.05166395159413552 kappa 0.07338769458858423 kappa 0.06425814850978749 kb_relative_information_score 0.1346675145080116 kb_relative_information_score 0.11106998982278761 kb_relative_information_score 0.11645744442992217 kb_relative_information_score 0.12184489903705675 kb_relative_information_score 0.12723235364419144 kb_relative_information_score 0.12723235364419144 kb_relative_information_score 0.10029508060851847 kb_relative_information_score 0.12126960054657697 kb_relative_information_score 0.1374425526837565 kb_relative_information_score 0.13205156863802997 mean_absolute_error 0.42819148936170215 mean_absolute_error 0.44 mean_absolute_error 0.43733333333333335 mean_absolute_error 0.43466666666666665 mean_absolute_error 0.432 mean_absolute_error 0.432 mean_absolute_error 0.44533333333333336 mean_absolute_error 0.43466666666666665 mean_absolute_error 0.4266666666666667 mean_absolute_error 0.42933333333333334 mean_prior_absolute_error 0.4964057123095849 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.7606820169046925 [1,0.558904] precision 0.6741958041958043 [0.818182,0.552198] precision 0.7123872146118722 [0.9,0.553425] precision 0.7589143897996357 [1,0.554645] precision 0.7216822773186409 [0.916667,0.556474] precision 0.6742451253481895 [0.8125,0.557103] precision 0.7556684684684685 [1,0.548649] precision 0.7129534246575343 [0.9,0.556164] precision 0.6656179775280899 [0.789474,0.561798] precision 0.7222203856749311 [0.916667,0.559229] predictive_accuracy 0.5718085106382979 predictive_accuracy 0.56 predictive_accuracy 0.5626666666666666 predictive_accuracy 0.5653333333333334 predictive_accuracy 0.568 predictive_accuracy 0.568 predictive_accuracy 0.5546666666666666 predictive_accuracy 0.5653333333333334 predictive_accuracy 0.5733333333333334 predictive_accuracy 0.5706666666666667 prior_entropy 0.9947691829105159 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 recall 0.5718085106382979 [0.063953,1] recall 0.56 [0.052326,0.990148] recall 0.5626666666666666 [0.052326,0.995074] recall 0.5653333333333334 [0.052326,1] recall 0.568 [0.063953,0.995074] recall 0.568 [0.075581,0.985222] recall 0.5546666666666666 [0.02907,1] recall 0.5653333333333334 [0.052632,0.995098] recall 0.5733333333333334 [0.087719,0.980392] recall 0.5706666666666667 [0.064327,0.995098] relative_absolute_error 0.86258372686626 relative_absolute_error 0.8861878089339329 relative_absolute_error 0.8808169737282726 relative_absolute_error 0.8754461385226123 relative_absolute_error 0.8700753033169524 relative_absolute_error 0.8700753033169524 relative_absolute_error 0.8969294793452534 relative_absolute_error 0.8758434663837573 relative_absolute_error 0.8597236479840563 relative_absolute_error 0.8650969207839567 root_mean_prior_squared_error 0.4981860380352768 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_squared_error 0.654363423001089 root_mean_squared_error 0.6633249580710799 root_mean_squared_error 0.6613118276073198 root_mean_squared_error 0.6592925501373929 root_mean_squared_error 0.6572670690061994 root_mean_squared_error 0.6572670690061994 root_mean_squared_error 0.6673330003329173 root_mean_squared_error 0.6592925501373929 root_mean_squared_error 0.6531972647421809 root_mean_squared_error 0.6552353266829661 root_relative_squared_error 1.3134920954062408 root_relative_squared_error 1.331204128617151 root_relative_squared_error 1.3271640460720957 root_relative_squared_error 1.3231116273109997 root_relative_squared_error 1.3190467586346852 root_relative_squared_error 1.3190467586346852 root_relative_squared_error 1.33924773129139 root_relative_squared_error 1.3237121759139239 root_relative_squared_error 1.3114742043311558 root_relative_squared_error 1.3155661774707306 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 45243.75069499365 usercpu_time_millis 45665.8066129894 usercpu_time_millis 45584.64110002387 usercpu_time_millis 45313.51633799204 usercpu_time_millis 46523.49706701352 usercpu_time_millis 45545.72710899811 usercpu_time_millis 46110.99661800836 usercpu_time_millis 46842.687816984835 usercpu_time_millis 47738.386577009805 usercpu_time_millis 45567.662157001905 usercpu_time_millis_testing 4384.767722993274 usercpu_time_millis_testing 4419.9627399939345 usercpu_time_millis_testing 4430.323871012661 usercpu_time_millis_testing 4504.195239991532 usercpu_time_millis_testing 4420.637262010132 usercpu_time_millis_testing 4471.505419991445 usercpu_time_millis_testing 4518.615738008521 usercpu_time_millis_testing 4563.614043989219 usercpu_time_millis_testing 4489.549752004677 usercpu_time_millis_testing 4339.345815998968 usercpu_time_millis_training 40858.982972000376 usercpu_time_millis_training 41245.843872995465 usercpu_time_millis_training 41154.31722901121 usercpu_time_millis_training 40809.32109800051 usercpu_time_millis_training 42102.85980500339 usercpu_time_millis_training 41074.22168900666 usercpu_time_millis_training 41592.38087999984 usercpu_time_millis_training 42279.073772995616 usercpu_time_millis_training 43248.83682500513 usercpu_time_millis_training 41228.31634100294 wall_clock_time_millis 47614.116191864014 wall_clock_time_millis 48775.3119468689 wall_clock_time_millis 49784.5094203949 wall_clock_time_millis 48158.979177474976 wall_clock_time_millis 46591.0701751709 wall_clock_time_millis 45549.60656166077 wall_clock_time_millis 46129.42171096802 wall_clock_time_millis 46852.66947746277 wall_clock_time_millis 47742.03610420227 wall_clock_time_millis 45571.40779495239 wall_clock_time_millis_testing 4497.216701507568 wall_clock_time_millis_testing 4840.404272079468 wall_clock_time_millis_testing 4650.951623916626 wall_clock_time_millis_testing 4568.634986877441 wall_clock_time_millis_testing 4420.999765396118 wall_clock_time_millis_testing 4471.8945026397705 wall_clock_time_millis_testing 4533.401966094971 wall_clock_time_millis_testing 4565.877199172974 wall_clock_time_millis_testing 4489.990472793579 wall_clock_time_millis_testing 4339.757204055786 wall_clock_time_millis_training 43116.899490356445 wall_clock_time_millis_training 43934.90767478943 wall_clock_time_millis_training 45133.55779647827 wall_clock_time_millis_training 43590.344190597534 wall_clock_time_millis_training 42170.07040977478 wall_clock_time_millis_training 41077.712059020996 wall_clock_time_millis_training 41596.01974487305 wall_clock_time_millis_training 42286.792278289795 wall_clock_time_millis_training 43252.04563140869 wall_clock_time_millis_training 41231.65059089661