10559462 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) 8270112 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 126.01836378200282 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.29389563974752275 17495 decision_function_shape "ovr" 17495 degree 2 17495 gamma 0.1324591300630764 17495 kernel "rbf" 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 22043896 description https://api.openml.org/data/download/22043896/description.xml -1 22043897 predictions https://api.openml.org/data/download/22043897/predictions.arff area_under_roc_curve 0.9817032755706148 [0.974085,0.984777,0.993216,0.989668] average_cost 0 f_measure 0.9214304641273401 [0.914247,0.937013,0.904836,0.907635] kappa 0.8812026514067569 kb_relative_information_score 0.8521200702257002 mean_absolute_error 0.06249167569151677 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9215542521994134 [0.913832,0.947067,0.884146,0.892252] number_of_instances 5456 [2205,2097,328,826] precision 0.9215293341779729 [0.914662,0.927171,0.926518,0.923559] predictive_accuracy 0.9215542521994134 prior_entropy 1.7146330399083418 relative_absolute_error 0.1886608642050997 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.174497478963766 root_relative_squared_error 0.42880021819393443 total_cost 0 unweighted_recall 0.9093243989758155 [0.913832,0.947067,0.884146,0.892252] area_under_roc_curve 0.9768600215855541 [0.969969,0.981774,0.996869,0.974795] area_under_roc_curve 0.9827044841808209 [0.973129,0.988095,0.996456,0.989172] area_under_roc_curve 0.9816334959798715 [0.975279,0.984439,0.969638,0.996149] area_under_roc_curve 0.9850914653213247 [0.979044,0.984892,0.997755,0.996591] area_under_roc_curve 0.9812637017408088 [0.973383,0.983461,0.996456,0.990554] area_under_roc_curve 0.9831635065595415 [0.981497,0.98434,0.999941,0.977933] area_under_roc_curve 0.9820533217925493 [0.972839,0.98452,0.997746,0.994185] area_under_roc_curve 0.9813846562317509 [0.974457,0.982826,0.980324,0.99661] area_under_roc_curve 0.9835779043639811 [0.975323,0.986842,0.997869,0.991756] area_under_roc_curve 0.9790587491587392 [0.965882,0.985176,0.999171,0.990887] 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 0.921101738068834 [0.920188,0.935484,0.909091,0.891566] f_measure 0.9207763351187014 [0.91236,0.950588,0.866667,0.888889] f_measure 0.9340276068510829 [0.926941,0.947867,0.909091,0.927711] f_measure 0.9322316613748526 [0.927602,0.945368,0.878788,0.932515] f_measure 0.9026774488179359 [0.892449,0.916667,0.857143,0.9125] f_measure 0.9211899764409036 [0.918919,0.935867,0.96875,0.871166] f_measure 0.9173569597922748 [0.90991,0.92891,0.923077,0.90566] f_measure 0.9281717200219747 [0.9161,0.941176,0.896552,0.939759] f_measure 0.9266073732353685 [0.92,0.944578,0.909091,0.90566] f_measure 0.9099778931971471 [0.897959,0.924171,0.925373,0.9] kappa 0.8813007472420801 kappa 0.8802210080046527 kappa 0.9005555049631181 kappa 0.8975749986057383 kappa 0.8526390833863782 kappa 0.8807393974489873 kappa 0.874783647586809 kappa 0.8913010125805463 kappa 0.8887522389887681 kappa 0.8640067220043796 kb_relative_information_score 0.8514399325701224 kb_relative_information_score 0.8469612229656442 kb_relative_information_score 0.8663207133561815 kb_relative_information_score 0.8573205227865748 kb_relative_information_score 0.8316686078070066 kb_relative_information_score 0.8538466350684827 kb_relative_information_score 0.8514246285823631 kb_relative_information_score 0.8576797540410662 kb_relative_information_score 0.8598964695453342 kb_relative_information_score 0.8446557923513156 mean_absolute_error 0.06273669267936943 mean_absolute_error 0.06290052034289083 mean_absolute_error 0.05743742819978987 mean_absolute_error 0.06231112670118873 mean_absolute_error 0.06893073746942618 mean_absolute_error 0.06239660839870413 mean_absolute_error 0.06334415755732473 mean_absolute_error 0.06022886299117429 mean_absolute_error 0.05835247273672302 mean_absolute_error 0.06627491486675617 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 0.9227988209042215 [0.956098,0.90625,0.909091,0.880952] precision 0.9215409402182658 [0.90625,0.939535,0.962963,0.9] precision 0.9340212323594702 [0.931193,0.943396,0.909091,0.927711] precision 0.9323443684818091 [0.923423,0.943128,0.878788,0.95] precision 0.9036290504032439 [0.898618,0.891892,0.9,0.948052] precision 0.92140291862279 [0.910714,0.933649,1,0.8875] precision 0.9179197955547909 [0.901786,0.924528,0.909091,0.947368] precision 0.9292416519939456 [0.918182,0.925926,1,0.939759] precision 0.9271527569895938 [0.90393,0.951456,0.909091,0.935065] precision 0.9101258186338338 [0.9,0.915493,0.911765,0.923077] predictive_accuracy 0.9212454212454213 predictive_accuracy 0.9212454212454213 predictive_accuracy 0.934065934065934 predictive_accuracy 0.9322344322344323 predictive_accuracy 0.9029304029304029 predictive_accuracy 0.9212454212454213 predictive_accuracy 0.9174311926605505 predictive_accuracy 0.928440366972477 predictive_accuracy 0.926605504587156 predictive_accuracy 0.910091743119266 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 0.18945474991228053 relative_absolute_error 0.18994948318073296 relative_absolute_error 0.17333075891943026 relative_absolute_error 0.1880382743230368 relative_absolute_error 0.20801448485632854 relative_absolute_error 0.18829623516788047 relative_absolute_error 0.19130238958316537 relative_absolute_error 0.1819040200016315 relative_absolute_error 0.1761923927981151 relative_absolute_error 0.20011381326632893 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 0.1782252980467627 root_mean_squared_error 0.17415163737225517 root_mean_squared_error 0.1635684460069338 root_mean_squared_error 0.1674591757395958 root_mean_squared_error 0.18704844804147203 root_mean_squared_error 0.17262112809268731 root_mean_squared_error 0.17671531843788582 root_mean_squared_error 0.16737318651821922 root_mean_squared_error 0.1710235760555164 root_mean_squared_error 0.18528083071679385 root_relative_squared_error 0.43808607518947407 root_relative_squared_error 0.42807282770941946 root_relative_squared_error 0.40177822101524213 root_relative_squared_error 0.41133514051042275 root_relative_squared_error 0.45945287451455546 root_relative_squared_error 0.42401460335316826 root_relative_squared_error 0.43440444626115043 root_relative_squared_error 0.4114620277842814 root_relative_squared_error 0.42032969812218296 root_relative_squared_error 0.4553701743304487 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 0.9162686070505296 [0.886878,0.966667,0.909091,0.902439] unweighted_recall 0.8865960916176123 [0.918552,0.961905,0.787879,0.878049] unweighted_recall 0.927977494393157 [0.922727,0.952381,0.909091,0.927711] unweighted_recall 0.9184719397068795 [0.931818,0.947619,0.878788,0.915663] unweighted_recall 0.8817301674229385 [0.886364,0.942857,0.818182,0.879518] unweighted_recall 0.9150458978772231 [0.927273,0.938095,0.939394,0.855422] unweighted_recall 0.914121257758306 [0.918182,0.933333,0.9375,0.86747] unweighted_recall 0.9058059961272269 [0.914027,0.956938,0.8125,0.939759] unweighted_recall 0.9153975790878305 [0.936652,0.937799,0.909091,0.878049] unweighted_recall 0.9115961689396712 [0.895928,0.933014,0.939394,0.878049] usercpu_time_millis 6458.468000000039 usercpu_time_millis 6487.1460000000525 usercpu_time_millis 6608.32999999991 usercpu_time_millis 6425.914000000034 usercpu_time_millis 6379.917999999861 usercpu_time_millis 6419.2140000001245 usercpu_time_millis 6382.923999999889 usercpu_time_millis 6496.1260000001175 usercpu_time_millis 6397.484000000077 usercpu_time_millis 6375.876000000062 usercpu_time_millis_testing 90.5760000000555 usercpu_time_millis_testing 86.98600000002443 usercpu_time_millis_testing 81.32999999997992 usercpu_time_millis_testing 82.61600000003 usercpu_time_millis_testing 88.51999999990312 usercpu_time_millis_testing 79.35600000007526 usercpu_time_millis_testing 81.00199999989854 usercpu_time_millis_testing 82.59400000008554 usercpu_time_millis_testing 80.98600000005263 usercpu_time_millis_testing 80.12600000006387 usercpu_time_millis_training 6367.891999999983 usercpu_time_millis_training 6400.160000000028 usercpu_time_millis_training 6526.99999999993 usercpu_time_millis_training 6343.298000000004 usercpu_time_millis_training 6291.397999999958 usercpu_time_millis_training 6339.858000000049 usercpu_time_millis_training 6301.9219999999905 usercpu_time_millis_training 6413.532000000032 usercpu_time_millis_training 6316.498000000024 usercpu_time_millis_training 6295.749999999998 wall_clock_time_millis 3445.8837509155273 wall_clock_time_millis 3440.026044845581 wall_clock_time_millis 3504.570722579956 wall_clock_time_millis 3515.6149864196777 wall_clock_time_millis 3384.776830673218 wall_clock_time_millis 3413.163900375366 wall_clock_time_millis 3419.257402420044 wall_clock_time_millis 3433.506727218628 wall_clock_time_millis 3433.5780143737793 wall_clock_time_millis 3311.9709491729736 wall_clock_time_millis_testing 62.5917911529541 wall_clock_time_millis_testing 45.21894454956055 wall_clock_time_millis_testing 48.23493957519531 wall_clock_time_millis_testing 42.57392883300781 wall_clock_time_millis_testing 46.56076431274414 wall_clock_time_millis_testing 42.51384735107422 wall_clock_time_millis_testing 42.64020919799805 wall_clock_time_millis_testing 43.646812438964844 wall_clock_time_millis_testing 42.4959659576416 wall_clock_time_millis_testing 40.50016403198242 wall_clock_time_millis_training 3383.2919597625732 wall_clock_time_millis_training 3394.8071002960205 wall_clock_time_millis_training 3456.3357830047607 wall_clock_time_millis_training 3473.04105758667 wall_clock_time_millis_training 3338.2160663604736 wall_clock_time_millis_training 3370.650053024292 wall_clock_time_millis_training 3376.617193222046 wall_clock_time_millis_training 3389.859914779663 wall_clock_time_millis_training 3391.0820484161377 wall_clock_time_millis_training 3271.470785140991 weighted_recall 0.9212454212454212 [0.886878,0.966667,0.909091,0.902439] weighted_recall 0.9212454212454212 [0.918552,0.961905,0.787879,0.878049] weighted_recall 0.9340659340659341 [0.922727,0.952381,0.909091,0.927711] weighted_recall 0.9322344322344323 [0.931818,0.947619,0.878788,0.915663] weighted_recall 0.9029304029304029 [0.886364,0.942857,0.818182,0.879518] weighted_recall 0.9212454212454212 [0.927273,0.938095,0.939394,0.855422] weighted_recall 0.9174311926605505 [0.918182,0.933333,0.9375,0.86747] weighted_recall 0.9284403669724771 [0.914027,0.956938,0.8125,0.939759] weighted_recall 0.926605504587156 [0.936652,0.937799,0.909091,0.878049] weighted_recall 0.9100917431192661 [0.895928,0.933014,0.939394,0.878049]