10558252 8323 Heinrich Peters 9960 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275915 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 C 0.165918932915 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 57 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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": "logisticregression", "step_name": "logisticregression"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22041467 description https://api.openml.org/data/download/22041467/description.xml -1 22041468 predictions https://api.openml.org/data/download/22041468/predictions.arff area_under_roc_curve 0.8696906564524319 [0.851627,0.864232,0.964168,0.894255] average_cost 0 f_measure 0.6671735248558273 [0.711512,0.720613,0.513966,0.473979] kappa 0.49615952777749406 kb_relative_information_score 0.44756996179236735 mean_absolute_error 0.22173460018026617 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.6785190615835777 [0.714739,0.806867,0.420732,0.358354] number_of_instances 5456 [2205,2097,328,826] precision 0.6821115740405369 [0.708315,0.65102,0.660287,0.699764] predictive_accuracy 0.6785190615835778 prior_entropy 1.7146330399083418 relative_absolute_error 0.6694114189013505 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.3251917750980192 root_relative_squared_error 0.7991078435342803 total_cost 0 unweighted_recall 0.5751728500069 [0.714739,0.806867,0.420732,0.358354] area_under_roc_curve 0.8688578340371701 [0.854981,0.860913,0.959537,0.890112] area_under_roc_curve 0.862217347131963 [0.851974,0.849263,0.958178,0.884383] area_under_roc_curve 0.8577512596823649 [0.833394,0.849249,0.966153,0.900726] area_under_roc_curve 0.8732972861889636 [0.848815,0.878359,0.948668,0.895418] area_under_roc_curve 0.866805813235959 [0.83536,0.864753,0.961782,0.917588] area_under_roc_curve 0.8653435094536887 [0.854504,0.856505,0.962195,0.877931] area_under_roc_curve 0.8641593209865802 [0.842308,0.857456,0.977217,0.895452] area_under_roc_curve 0.8825347945358407 [0.876683,0.865901,0.983004,0.901267] area_under_roc_curve 0.8884259934718548 [0.877269,0.88719,0.959517,0.893036] area_under_roc_curve 0.8710974414505336 [0.843822,0.876908,0.968928,0.890428] 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 0.6486112498025569 [0.705357,0.706897,0.45283,0.425197] f_measure 0.6517662317201488 [0.7,0.696774,0.539683,0.451613] f_measure 0.6697040408706479 [0.698851,0.714588,0.588235,0.511278] f_measure 0.6696151163869756 [0.709677,0.736402,0.347826,0.522388] f_measure 0.6657062246575862 [0.699332,0.715203,0.481481,0.52459] f_measure 0.6539932253783752 [0.707483,0.710638,0.575758,0.4] f_measure 0.6658151854524137 [0.711497,0.712088,0.509804,0.487805] f_measure 0.6838215932457465 [0.746137,0.725702,0.62963,0.433333] f_measure 0.6709042457593589 [0.715596,0.731809,0.5,0.464] f_measure 0.6863184091287354 [0.720554,0.754167,0.470588,0.507937] kappa 0.4690921323038594 kappa 0.4731736320821141 kappa 0.4964630427264439 kappa 0.5030984670741844 kappa 0.4909184770012011 kappa 0.4829951190420138 kappa 0.49148319169578053 kappa 0.5239343116701608 kappa 0.5030772737633917 kappa 0.5279192106986669 kb_relative_information_score 0.4468080140974827 kb_relative_information_score 0.43399817791938494 kb_relative_information_score 0.4398880430462237 kb_relative_information_score 0.4452124001237592 kb_relative_information_score 0.4502998115440102 kb_relative_information_score 0.43833933657152024 kb_relative_information_score 0.45458370495258393 kb_relative_information_score 0.4641974539805641 kb_relative_information_score 0.457762039436743 kb_relative_information_score 0.44471439091038895 mean_absolute_error 0.22207681150255607 mean_absolute_error 0.22550130731403434 mean_absolute_error 0.22429369358145432 mean_absolute_error 0.22148066315400441 mean_absolute_error 0.2211282849008189 mean_absolute_error 0.22485158663964347 mean_absolute_error 0.21909177166567578 mean_absolute_error 0.21778914631401433 mean_absolute_error 0.2164968647988222 mean_absolute_error 0.22461949625088423 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 0.6564365196471755 [0.696035,0.645669,0.6,0.6] precision 0.6633421686201701 [0.703196,0.635294,0.566667,0.666667] precision 0.685746977106956 [0.706977,0.642586,0.833333,0.68] precision 0.6840598560292264 [0.719626,0.656716,0.615385,0.686275] precision 0.6883149703720719 [0.68559,0.649805,0.619048,0.820513] precision 0.6755219469444583 [0.705882,0.642308,0.575758,0.71875] precision 0.6838741711334181 [0.680498,0.661224,0.684211,0.75] precision 0.7014218100725785 [0.728448,0.661417,0.772727,0.702703] precision 0.6922772625158448 [0.725581,0.647059,0.8,0.674419] precision 0.7043108459630396 [0.735849,0.667897,0.666667,0.727273] predictive_accuracy 0.6611721611721612 predictive_accuracy 0.6611721611721612 predictive_accuracy 0.6776556776556777 predictive_accuracy 0.6831501831501832 predictive_accuracy 0.6758241758241758 predictive_accuracy 0.6684981684981685 predictive_accuracy 0.6770642201834862 predictive_accuracy 0.6972477064220183 predictive_accuracy 0.6844036697247706 predictive_accuracy 0.6990825688073394 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 0.6706363531077408 relative_absolute_error 0.6809777812231032 relative_absolute_error 0.6768582324766735 relative_absolute_error 0.668369260840316 relative_absolute_error 0.6673058777473457 relative_absolute_error 0.6785418041511478 relative_absolute_error 0.6616676434558798 relative_absolute_error 0.6577697014311561 relative_absolute_error 0.6537015288846295 relative_absolute_error 0.6782274110664034 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 0.3254851802761762 root_mean_squared_error 0.3294072805711197 root_mean_squared_error 0.3296996909432596 root_mean_squared_error 0.32447377947436484 root_mean_squared_error 0.3260986966091359 root_mean_squared_error 0.3279492596801882 root_mean_squared_error 0.32567200028251614 root_mean_squared_error 0.31876917427437007 root_mean_squared_error 0.3186260594370134 root_mean_squared_error 0.32551187883992005 root_relative_squared_error 0.800057717519516 root_relative_squared_error 0.8096984225346954 root_relative_squared_error 0.809851524118794 root_relative_squared_error 0.7970149565263704 root_relative_squared_error 0.8010062906231548 root_relative_squared_error 0.8055518857957858 root_relative_squared_error 0.8005721642926759 root_relative_squared_error 0.783646494223708 root_relative_squared_error 0.7830966844801904 root_relative_squared_error 0.8000201663632268 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 0.547197290992126 [0.714932,0.780952,0.363636,0.329268] unweighted_recall 0.5812190200999383 [0.696833,0.771429,0.515152,0.341463] unweighted_recall 0.5899637511083294 [0.690909,0.804762,0.454545,0.409639] unweighted_recall 0.5505515568768581 [0.7,0.838095,0.242424,0.421687] unweighted_recall 0.5720890053721379 [0.713636,0.795238,0.393939,0.385542] unweighted_recall 0.58929875345538 [0.709091,0.795238,0.575758,0.277108] unweighted_recall 0.5711447250039118 [0.745455,0.771429,0.40625,0.361446] unweighted_recall 0.6032591613993264 [0.764706,0.803828,0.53125,0.313253] unweighted_recall 0.5663206290802002 [0.705882,0.842105,0.363636,0.353659] unweighted_recall 0.5814478317876339 [0.705882,0.866029,0.363636,0.390244] usercpu_time_millis 105.75400000016089 usercpu_time_millis 232.7579999982845 usercpu_time_millis 217.42799999992712 usercpu_time_millis 217.10000000166474 usercpu_time_millis 220.3159999990021 usercpu_time_millis 222.99199999906705 usercpu_time_millis 225.99999999874854 usercpu_time_millis 223.61799999998766 usercpu_time_millis 211.29199999995762 usercpu_time_millis 222.8259999974398 usercpu_time_millis_testing 1.1339999982737936 usercpu_time_millis_testing 2.157999999326421 usercpu_time_millis_testing 2.219999998487765 usercpu_time_millis_testing 2.3580000015499536 usercpu_time_millis_testing 1.9959999990533106 usercpu_time_millis_testing 2.2080000017012935 usercpu_time_millis_testing 2.2219999991648365 usercpu_time_millis_testing 1.9800000009126961 usercpu_time_millis_testing 2.015999998548068 usercpu_time_millis_testing 2.2439999993366655 usercpu_time_millis_training 104.62000000188709 usercpu_time_millis_training 230.59999999895808 usercpu_time_millis_training 215.20800000143936 usercpu_time_millis_training 214.74200000011479 usercpu_time_millis_training 218.31999999994878 usercpu_time_millis_training 220.78399999736575 usercpu_time_millis_training 223.7779999995837 usercpu_time_millis_training 221.63799999907496 usercpu_time_millis_training 209.27600000140956 usercpu_time_millis_training 220.58199999810313 wall_clock_time_millis 53.41529846191406 wall_clock_time_millis 58.97259712219238 wall_clock_time_millis 54.87513542175293 wall_clock_time_millis 59.272050857543945 wall_clock_time_millis 55.722713470458984 wall_clock_time_millis 56.48493766784668 wall_clock_time_millis 57.302236557006836 wall_clock_time_millis 56.56599998474121 wall_clock_time_millis 53.450822830200195 wall_clock_time_millis 56.47110939025879 wall_clock_time_millis_testing 0.5390644073486328 wall_clock_time_millis_testing 0.5617141723632812 wall_clock_time_millis_testing 0.5600452423095703 wall_clock_time_millis_testing 0.5960464477539062 wall_clock_time_millis_testing 0.5168914794921875 wall_clock_time_millis_testing 0.5710124969482422 wall_clock_time_millis_testing 0.5602836608886719 wall_clock_time_millis_testing 0.5171298980712891 wall_clock_time_millis_testing 0.5209445953369141 wall_clock_time_millis_testing 0.5650520324707031 wall_clock_time_millis_training 52.87623405456543 wall_clock_time_millis_training 58.4108829498291 wall_clock_time_millis_training 54.31509017944336 wall_clock_time_millis_training 58.67600440979004 wall_clock_time_millis_training 55.2058219909668 wall_clock_time_millis_training 55.91392517089844 wall_clock_time_millis_training 56.741952896118164 wall_clock_time_millis_training 56.04887008666992 wall_clock_time_millis_training 52.92987823486328 wall_clock_time_millis_training 55.906057357788086 weighted_recall 0.6611721611721612 [0.714932,0.780952,0.363636,0.329268] weighted_recall 0.6611721611721612 [0.696833,0.771429,0.515152,0.341463] weighted_recall 0.6776556776556777 [0.690909,0.804762,0.454545,0.409639] weighted_recall 0.6831501831501832 [0.7,0.838095,0.242424,0.421687] weighted_recall 0.6758241758241759 [0.713636,0.795238,0.393939,0.385542] weighted_recall 0.6684981684981685 [0.709091,0.795238,0.575758,0.277108] weighted_recall 0.6770642201834862 [0.745455,0.771429,0.40625,0.361446] weighted_recall 0.6972477064220184 [0.764706,0.803828,0.53125,0.313253] weighted_recall 0.6844036697247706 [0.705882,0.842105,0.363636,0.353659] weighted_recall 0.6990825688073394 [0.705882,0.866029,0.363636,0.390244]