10550234 8323 Heinrich Peters 9960 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275614 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 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"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22025423 description https://api.openml.org/data/download/22025423/description.xml -1 22025424 predictions https://api.openml.org/data/download/22025424/predictions.arff area_under_roc_curve 0.8752710498301053 [0.858117,0.864707,0.963909,0.912686] average_cost 0 f_measure 0.6794080445145148 [0.718054,0.72074,0.537477,0.527672] kappa 0.5124867343660244 kb_relative_information_score 0.47105176549628347 mean_absolute_error 0.2130212127841621 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.687133431085044 [0.7161,0.79876,0.448171,0.421308] number_of_instances 5456 [2205,2097,328,826] precision 0.6905726981633112 [0.720018,0.656605,0.671233,0.705882] predictive_accuracy 0.687133431085044 prior_entropy 1.7146330399083418 relative_absolute_error 0.6431059121580585 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.32065772601541426 root_relative_squared_error 0.7879661282071109 total_cost 0 unweighted_recall 0.5960845361318245 [0.7161,0.79876,0.448171,0.421308] area_under_roc_curve 0.8740308619815577 [0.861357,0.86131,0.958296,0.906854] area_under_roc_curve 0.8686370597613144 [0.858462,0.850213,0.959064,0.906854] area_under_roc_curve 0.8630886319216636 [0.838567,0.848852,0.964971,0.923599] area_under_roc_curve 0.877764226144833 [0.853095,0.879238,0.950617,0.910458] area_under_roc_curve 0.8720346134803161 [0.841829,0.866043,0.962727,0.931198] area_under_roc_curve 0.8711003186701879 [0.860402,0.859084,0.961132,0.894064] area_under_roc_curve 0.869677799354284 [0.85,0.85619,0.976365,0.914828] area_under_roc_curve 0.8890827871272101 [0.884196,0.866655,0.982578,0.922521] area_under_roc_curve 0.8948736187032299 [0.884909,0.887716,0.956854,0.915029] area_under_roc_curve 0.8750891481078847 [0.850665,0.874516,0.967981,0.904994] 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 0.663921254642372 [0.714607,0.708972,0.472727,0.488889] f_measure 0.6706094308987255 [0.709382,0.7,0.5625,0.534351] f_measure 0.6737729094135684 [0.700461,0.707889,0.588235,0.550725] f_measure 0.6892079304779046 [0.717949,0.74477,0.382979,0.594203] f_measure 0.6842957154577273 [0.705618,0.721382,0.545455,0.589147] f_measure 0.6677169705726633 [0.712644,0.707158,0.617647,0.46875] f_measure 0.6737828817990793 [0.718954,0.709534,0.528302,0.519685] f_measure 0.7005657102915073 [0.759551,0.724891,0.654545,0.5] f_measure 0.676532253890394 [0.717241,0.733753,0.489796,0.496124] f_measure 0.688637551002523 [0.723502,0.746835,0.48,0.530303] kappa 0.49009234622006587 kappa 0.4988461877524776 kappa 0.5010105124629871 kappa 0.5307631439665879 kappa 0.5167433042494579 kappa 0.4998240311361378 kappa 0.5024827054893911 kappa 0.545540364071178 kappa 0.5106608850884929 kappa 0.5293460975429949 kb_relative_information_score 0.46903429023426413 kb_relative_information_score 0.4555165344998515 kb_relative_information_score 0.4626289367556955 kb_relative_information_score 0.4689886951107405 kb_relative_information_score 0.47276059299186196 kb_relative_information_score 0.4624678715370701 kb_relative_information_score 0.4791380481961558 kb_relative_information_score 0.49244892737440515 kb_relative_information_score 0.4826916175033563 kb_relative_information_score 0.464961336111033 mean_absolute_error 0.21284037093725483 mean_absolute_error 0.21748917061919504 mean_absolute_error 0.21590607617796026 mean_absolute_error 0.2128337487919904 mean_absolute_error 0.21301548981007 mean_absolute_error 0.215789169909985 mean_absolute_error 0.21026014401716075 mean_absolute_error 0.20795630215007252 mean_absolute_error 0.20730295888381214 mean_absolute_error 0.21680081260000203 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 0.6687910860991535 [0.709821,0.65587,0.590909,0.622642] precision 0.6805140693351138 [0.717593,0.644,0.580645,0.714286] precision 0.6880984091264466 [0.71028,0.640927,0.833333,0.690909] precision 0.7045236045516599 [0.736842,0.664179,0.642857,0.745455] precision 0.7018185518185518 [0.697778,0.660079,0.681818,0.826087] precision 0.6778616968647543 [0.72093,0.649402,0.6,0.666667] precision 0.6878628727679766 [0.690377,0.6639,0.666667,0.75] precision 0.7101126200380431 [0.754464,0.666667,0.782609,0.673469] precision 0.693865085448395 [0.728972,0.652985,0.75,0.680851] precision 0.7030955186737186 [0.737089,0.667925,0.705882,0.7] predictive_accuracy 0.6721611721611721 predictive_accuracy 0.6758241758241758 predictive_accuracy 0.6794871794871794 predictive_accuracy 0.6996336996336996 predictive_accuracy 0.6904761904761905 predictive_accuracy 0.6758241758241758 predictive_accuracy 0.6825688073394496 predictive_accuracy 0.708256880733945 predictive_accuracy 0.6880733944954129 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 0.6427437839804202 relative_absolute_error 0.65678241342548 relative_absolute_error 0.6515466519334702 relative_absolute_error 0.6422751915956786 relative_absolute_error 0.642823637262169 relative_absolute_error 0.6511938601601319 relative_absolute_error 0.6349957049816691 relative_absolute_error 0.628072413575453 relative_absolute_error 0.6259409866770169 relative_absolute_error 0.6546192841718343 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 0.32125484589093417 root_mean_squared_error 0.3250350784749396 root_mean_squared_error 0.32567007776934875 root_mean_squared_error 0.32003992148442145 root_mean_squared_error 0.32144089868717013 root_mean_squared_error 0.3236493978278045 root_mean_squared_error 0.32151811326431523 root_mean_squared_error 0.31261622413089757 root_mean_squared_error 0.3134578684147629 root_mean_squared_error 0.3216012382233476 root_relative_squared_error 0.7896593587686529 root_relative_squared_error 0.7989513463494271 root_relative_squared_error 0.7999534609414691 root_relative_squared_error 0.7861239343339962 root_relative_squared_error 0.7895651978658355 root_relative_squared_error 0.7949900024507011 root_relative_squared_error 0.7903610122209486 root_relative_squared_error 0.7685203835511768 root_relative_squared_error 0.770394668639315 root_relative_squared_error 0.7904088693260589 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 0.5718160008332175 [0.719457,0.771429,0.393939,0.402439] unweighted_recall 0.6100769866193109 [0.701357,0.766667,0.545455,0.426829] unweighted_recall 0.5984405153079851 [0.690909,0.790476,0.454545,0.457831] unweighted_recall 0.5785805559901945 [0.7,0.847619,0.272727,0.493976] unweighted_recall 0.6053128096802796 [0.713636,0.795238,0.454545,0.457831] unweighted_recall 0.6196363375580243 [0.704545,0.77619,0.636364,0.361446] unweighted_recall 0.5867487808376363 [0.75,0.761905,0.4375,0.39759] unweighted_recall 0.6297636542511165 [0.764706,0.794258,0.5625,0.39759] unweighted_recall 0.574270798294811 [0.705882,0.837321,0.363636,0.390244] unweighted_recall 0.5869407059752902 [0.710407,0.84689,0.363636,0.426829] usercpu_time_millis 118.31763299414888 usercpu_time_millis 109.51079108053818 usercpu_time_millis 106.55423096613958 usercpu_time_millis 105.39165401132777 usercpu_time_millis 104.20470096869394 usercpu_time_millis 103.04045694647357 usercpu_time_millis 103.36331796133891 usercpu_time_millis 103.31836296245456 usercpu_time_millis 103.38397900341079 usercpu_time_millis 100.8579860208556 usercpu_time_millis_testing 0.8880299865268171 usercpu_time_millis_testing 0.812213052995503 usercpu_time_millis_testing 0.8501769625581801 usercpu_time_millis_testing 0.8090009796433151 usercpu_time_millis_testing 0.881147978361696 usercpu_time_millis_testing 0.866127957124263 usercpu_time_millis_testing 0.7761360029689968 usercpu_time_millis_testing 0.8110259659588337 usercpu_time_millis_testing 0.7959289941936731 usercpu_time_millis_testing 0.890041992533952 usercpu_time_millis_training 117.42960300762206 usercpu_time_millis_training 108.69857802754268 usercpu_time_millis_training 105.7040540035814 usercpu_time_millis_training 104.58265303168446 usercpu_time_millis_training 103.32355299033225 usercpu_time_millis_training 102.1743289893493 usercpu_time_millis_training 102.58718195836991 usercpu_time_millis_training 102.50733699649572 usercpu_time_millis_training 102.58805000921711 usercpu_time_millis_training 99.96794402832165 wall_clock_time_millis 118.35432052612305 wall_clock_time_millis 109.52043533325195 wall_clock_time_millis 106.55975341796875 wall_clock_time_millis 105.39746284484863 wall_clock_time_millis 104.21347618103027 wall_clock_time_millis 103.04880142211914 wall_clock_time_millis 103.37495803833008 wall_clock_time_millis 103.32679748535156 wall_clock_time_millis 103.39021682739258 wall_clock_time_millis 100.86345672607422 wall_clock_time_millis_testing 0.8943080902099609 wall_clock_time_millis_testing 0.8175373077392578 wall_clock_time_millis_testing 0.8542537689208984 wall_clock_time_millis_testing 0.8146762847900391 wall_clock_time_millis_testing 0.8852481842041016 wall_clock_time_millis_testing 0.8721351623535156 wall_clock_time_millis_testing 0.7815361022949219 wall_clock_time_millis_testing 0.81634521484375 wall_clock_time_millis_testing 0.8001327514648438 wall_clock_time_millis_testing 0.8947849273681641 wall_clock_time_millis_training 117.46001243591309 wall_clock_time_millis_training 108.7028980255127 wall_clock_time_millis_training 105.70549964904785 wall_clock_time_millis_training 104.5827865600586 wall_clock_time_millis_training 103.32822799682617 wall_clock_time_millis_training 102.17666625976562 wall_clock_time_millis_training 102.59342193603516 wall_clock_time_millis_training 102.51045227050781 wall_clock_time_millis_training 102.59008407592773 wall_clock_time_millis_training 99.96867179870605 weighted_recall 0.6721611721611722 [0.719457,0.771429,0.393939,0.402439] weighted_recall 0.6758241758241759 [0.701357,0.766667,0.545455,0.426829] weighted_recall 0.6794871794871795 [0.690909,0.790476,0.454545,0.457831] weighted_recall 0.6996336996336996 [0.7,0.847619,0.272727,0.493976] weighted_recall 0.6904761904761905 [0.713636,0.795238,0.454545,0.457831] weighted_recall 0.6758241758241759 [0.704545,0.77619,0.636364,0.361446] weighted_recall 0.6825688073394496 [0.75,0.761905,0.4375,0.39759] weighted_recall 0.708256880733945 [0.764706,0.794258,0.5625,0.39759] weighted_recall 0.6880733944954128 [0.705882,0.837321,0.363636,0.390244] weighted_recall 0.6990825688073394 [0.710407,0.84689,0.363636,0.426829]