10363551 8323 Heinrich Peters 9960 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8218997 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 4268.510636410245 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0061078893286028715 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 44653 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. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 21648804 description https://api.openml.org/data/download/21648804/description.xml -1 21648805 predictions https://api.openml.org/data/download/21648805/predictions.arff area_under_roc_curve 0.944496810319842 [0.933947,0.951794,0.94755,0.952921] average_cost 0 f_measure 0.9282064288240023 [0.920243,0.941883,0.914729,0.920097] kappa 0.891404995898654 kb_relative_information_score 0.8998013348175298 mean_absolute_error 0.03592375366568915 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.9283930639968965 [0.911843,0.948718,0.930599,0.920097] predictive_accuracy 0.9281524926686217 prior_entropy 1.7146330399083418 recall 0.9281524926686217 [0.928798,0.935145,0.89939,0.920097] relative_absolute_error 0.1084529473255918 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.18953562637585883 root_relative_squared_error 0.4657541096187895 total_cost 0 area_under_roc_curve 0.9403402017421982 [0.931584,0.949702,0.921318,0.947619] area_under_roc_curve 0.9508579481787286 [0.937647,0.96994,0.908116,0.954794] area_under_roc_curve 0.9541062554517757 [0.942108,0.963393,0.951621,0.9634] area_under_roc_curve 0.9506305891580151 [0.941313,0.954762,0.966773,0.958456] area_under_roc_curve 0.933702458077075 [0.919325,0.943155,0.922293,0.952432] area_under_roc_curve 0.9504517662250471 [0.945915,0.95506,0.969697,0.943168] area_under_roc_curve 0.9332056913439474 [0.92965,0.929424,0.963877,0.940372] area_under_roc_curve 0.9409120971620971 [0.926764,0.950722,0.953125,0.949173] area_under_roc_curve 0.9538844816521822 [0.947335,0.959971,0.951616,0.956935] area_under_roc_curve 0.9368385573796953 [0.917819,0.941793,0.967744,0.963033] 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 0.9211930138134957 [0.918552,0.938095,0.875,0.903614] f_measure 0.9356641260899277 [0.925508,0.962085,0.885246,0.915663] f_measure 0.9396545088098038 [0.930023,0.956731,0.909091,0.934132] f_measure 0.9360069715135875 [0.928251,0.94686,0.925373,0.933333] f_measure 0.915601411266159 [0.90411,0.9274,0.888889,0.926829] f_measure 0.9359697762458049 [0.934537,0.945107,0.96875,0.903614] f_measure 0.9138982021772318 [0.912281,0.918519,0.895522,0.91358] f_measure 0.9250494274529167 [0.911111,0.941748,0.95082,0.91018] f_measure 0.9395674448070472 [0.935412,0.953771,0.909091,0.926829] f_measure 0.9192377623832407 [0.902494,0.92823,0.939394,0.933333] kappa 0.8809818314542947 kappa 0.90285783999756 kappa 0.9088780438465623 kappa 0.9033031756633676 kappa 0.872425370670432 kappa 0.9031198353392074 kappa 0.8696291696780301 kappa 0.8860466420859916 kappa 0.908522629014374 kappa 0.8781683593372928 kb_relative_information_score 0.8873210325649478 kb_relative_information_score 0.9037812375306983 kb_relative_information_score 0.915853554736841 kb_relative_information_score 0.9126505485833709 kb_relative_information_score 0.8809425764144436 kb_relative_information_score 0.9107716272276282 kb_relative_information_score 0.8826710361988982 kb_relative_information_score 0.8958189178739321 kb_relative_information_score 0.9145782697230641 kb_relative_information_score 0.8935455160074325 mean_absolute_error 0.039377289377289376 mean_absolute_error 0.03205128205128205 mean_absolute_error 0.03021978021978022 mean_absolute_error 0.03205128205128205 mean_absolute_error 0.04212454212454213 mean_absolute_error 0.03205128205128205 mean_absolute_error 0.043119266055045874 mean_absolute_error 0.03761467889908257 mean_absolute_error 0.030275229357798167 mean_absolute_error 0.04036697247706422 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 0.9212834016981483 [0.918552,0.938095,0.903226,0.892857] precision 0.9362149945034042 [0.923423,0.957547,0.964286,0.904762] precision 0.939861182770881 [0.923767,0.966019,0.909091,0.928571] precision 0.9364402753580138 [0.915929,0.960784,0.911765,0.939024] precision 0.915944982046064 [0.908257,0.912442,0.933333,0.938272] precision 0.9361952656736702 [0.928251,0.947368,1,0.903614] precision 0.9162961546129312 [0.881356,0.953846,0.857143,0.936709] precision 0.9259956994323295 [0.895197,0.955665,1,0.904762] precision 0.9400820381410425 [0.921053,0.970297,0.909091,0.926829] precision 0.9192235497452697 [0.904545,0.92823,0.939394,0.927711] predictive_accuracy 0.9212454212454213 predictive_accuracy 0.9358974358974359 predictive_accuracy 0.9395604395604396 predictive_accuracy 0.9358974358974359 predictive_accuracy 0.9157509157509157 predictive_accuracy 0.9358974358974359 predictive_accuracy 0.9137614678899082 predictive_accuracy 0.9247706422018349 predictive_accuracy 0.9394495412844037 predictive_accuracy 0.9192660550458716 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 recall 0.9212454212454212 [0.918552,0.938095,0.848485,0.914634] recall 0.9358974358974359 [0.927602,0.966667,0.818182,0.926829] recall 0.9395604395604396 [0.936364,0.947619,0.909091,0.939759] recall 0.9358974358974359 [0.940909,0.933333,0.939394,0.927711] recall 0.9157509157509157 [0.9,0.942857,0.848485,0.915663] recall 0.9358974358974359 [0.940909,0.942857,0.939394,0.903614] recall 0.9137614678899083 [0.945455,0.885714,0.9375,0.891566] recall 0.9247706422018349 [0.927602,0.92823,0.90625,0.915663] recall 0.9394495412844037 [0.950226,0.937799,0.909091,0.926829] recall 0.9192660550458716 [0.900452,0.92823,0.939394,0.939024] relative_absolute_error 0.11891309842112706 relative_absolute_error 0.0967897312730104 relative_absolute_error 0.09119519456290794 relative_absolute_error 0.09672217605156902 relative_absolute_error 0.12712057423920503 relative_absolute_error 0.09672217605156902 relative_absolute_error 0.13022224860970938 relative_absolute_error 0.1136043578278458 relative_absolute_error 0.0914145511387246 relative_absolute_error 0.12188606818496617 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 0.19843711693453264 root_mean_squared_error 0.17902871850985821 root_mean_squared_error 0.17383837384127884 root_mean_squared_error 0.17902871850985821 root_mean_squared_error 0.20524264207162732 root_mean_squared_error 0.17902871850985821 root_mean_squared_error 0.20765179039691875 root_mean_squared_error 0.19394504092418186 root_mean_squared_error 0.17399778549682224 root_mean_squared_error 0.20091533658997818 root_relative_squared_error 0.4877676664451686 root_relative_squared_error 0.4400609200698684 root_relative_squared_error 0.4270045616449205 root_relative_squared_error 0.4397537654082758 root_relative_squared_error 0.5041438347131506 root_relative_squared_error 0.4397537654082758 root_relative_squared_error 0.5104529806464759 root_relative_squared_error 0.4767849706242084 root_relative_squared_error 0.42763950058012257 root_relative_squared_error 0.49379556155210175 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 2733.3601050049765 usercpu_time_millis 3243.1511050090194 usercpu_time_millis 2784.1909260023385 usercpu_time_millis 2861.696096006199 usercpu_time_millis 2930.7194360007998 usercpu_time_millis 3009.9146210122854 usercpu_time_millis 2797.0745360071305 usercpu_time_millis 3240.2900610031793 usercpu_time_millis 2667.811441991944 usercpu_time_millis 2863.4907249943353 usercpu_time_millis_testing 57.09072700119577 usercpu_time_millis_testing 56.07885800418444 usercpu_time_millis_testing 55.583684996236116 usercpu_time_millis_testing 55.773774001863785 usercpu_time_millis_testing 54.963496993877925 usercpu_time_millis_testing 55.72449600731488 usercpu_time_millis_testing 54.69821600127034 usercpu_time_millis_testing 56.0479550040327 usercpu_time_millis_testing 54.24902199592907 usercpu_time_millis_testing 55.179098999360576 usercpu_time_millis_training 2676.2693780037807 usercpu_time_millis_training 3187.072247004835 usercpu_time_millis_training 2728.6072410061024 usercpu_time_millis_training 2805.922322004335 usercpu_time_millis_training 2875.755939006922 usercpu_time_millis_training 2954.1901250049705 usercpu_time_millis_training 2742.37632000586 usercpu_time_millis_training 3184.2421059991466 usercpu_time_millis_training 2613.562419996015 usercpu_time_millis_training 2808.3116259949747 wall_clock_time_millis 2734.827995300293 wall_clock_time_millis 3244.584560394287 wall_clock_time_millis 2786.0236167907715 wall_clock_time_millis 2863.1606101989746 wall_clock_time_millis 2932.204008102417 wall_clock_time_millis 3010.0252628326416 wall_clock_time_millis 2797.1551418304443 wall_clock_time_millis 3240.3619289398193 wall_clock_time_millis 2667.872428894043 wall_clock_time_millis 2863.558292388916 wall_clock_time_millis_testing 57.10339546203613 wall_clock_time_millis_testing 56.090354919433594 wall_clock_time_millis_testing 55.593013763427734 wall_clock_time_millis_testing 55.785179138183594 wall_clock_time_millis_testing 54.97622489929199 wall_clock_time_millis_testing 55.735111236572266 wall_clock_time_millis_testing 54.70633506774902 wall_clock_time_millis_testing 56.058645248413086 wall_clock_time_millis_testing 54.259538650512695 wall_clock_time_millis_testing 55.1910400390625 wall_clock_time_millis_training 2677.724599838257 wall_clock_time_millis_training 3188.4942054748535 wall_clock_time_millis_training 2730.4306030273438 wall_clock_time_millis_training 2807.375431060791 wall_clock_time_millis_training 2877.227783203125 wall_clock_time_millis_training 2954.2901515960693 wall_clock_time_millis_training 2742.4488067626953 wall_clock_time_millis_training 3184.3032836914062 wall_clock_time_millis_training 2613.6128902435303 wall_clock_time_millis_training 2808.3672523498535