10558751 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 22042466 description https://api.openml.org/data/download/22042466/description.xml -1 22042467 predictions https://api.openml.org/data/download/22042467/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 162.36000000026252 usercpu_time_millis 215.00800000103482 usercpu_time_millis 256.49800000064715 usercpu_time_millis 269.90400000067893 usercpu_time_millis 250.24200000189012 usercpu_time_millis 255.53199999922072 usercpu_time_millis 260.0399999992078 usercpu_time_millis 203.51399999890418 usercpu_time_millis 226.76999999930558 usercpu_time_millis 256.60599999901024 usercpu_time_millis_testing 1.427999999577878 usercpu_time_millis_testing 1.7320000006293412 usercpu_time_millis_testing 2.754000001004897 usercpu_time_millis_testing 2.7179999997315463 usercpu_time_millis_testing 2.5560000012774253 usercpu_time_millis_testing 2.727999999478925 usercpu_time_millis_testing 2.411999999822001 usercpu_time_millis_testing 1.6799999993963866 usercpu_time_millis_testing 2.4979999998322455 usercpu_time_millis_testing 2.4819999998726416 usercpu_time_millis_training 160.93200000068464 usercpu_time_millis_training 213.27600000040547 usercpu_time_millis_training 253.74399999964226 usercpu_time_millis_training 267.1860000009474 usercpu_time_millis_training 247.6860000006127 usercpu_time_millis_training 252.8039999997418 usercpu_time_millis_training 257.6279999993858 usercpu_time_millis_training 201.8339999995078 usercpu_time_millis_training 224.27199999947334 usercpu_time_millis_training 254.1239999991376 wall_clock_time_millis 82.86690711975098 wall_clock_time_millis 106.24289512634277 wall_clock_time_millis 76.33852958679199 wall_clock_time_millis 73.04811477661133 wall_clock_time_millis 63.83657455444336 wall_clock_time_millis 70.63937187194824 wall_clock_time_millis 66.37287139892578 wall_clock_time_millis 242.90156364440918 wall_clock_time_millis 84.63907241821289 wall_clock_time_millis 90.00897407531738 wall_clock_time_millis_testing 0.6849765777587891 wall_clock_time_millis_testing 1.9788742065429688 wall_clock_time_millis_testing 0.6957054138183594 wall_clock_time_millis_testing 0.6830692291259766 wall_clock_time_millis_testing 0.6504058837890625 wall_clock_time_millis_testing 0.8661746978759766 wall_clock_time_millis_testing 0.6079673767089844 wall_clock_time_millis_testing 9.816169738769531 wall_clock_time_millis_testing 0.6248950958251953 wall_clock_time_millis_testing 0.6239414215087891 wall_clock_time_millis_training 82.18193054199219 wall_clock_time_millis_training 104.2640209197998 wall_clock_time_millis_training 75.64282417297363 wall_clock_time_millis_training 72.36504554748535 wall_clock_time_millis_training 63.1861686706543 wall_clock_time_millis_training 69.77319717407227 wall_clock_time_millis_training 65.7649040222168 wall_clock_time_millis_training 233.08539390563965 wall_clock_time_millis_training 84.0141773223877 wall_clock_time_millis_training 89.3850326538086 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]