10559483 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) 8270332 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 2919.7665961619327 17495 cache_size 200 17495 class_weight null 17495 coef0 0.0 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 6.688334308406325 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 22043938 description https://api.openml.org/data/download/22043938/description.xml -1 22043939 predictions https://api.openml.org/data/download/22043939/predictions.arff area_under_roc_curve 0.9087517721877206 [0.905328,0.909754,0.919319,0.911151] average_cost 0 f_measure 0.7267539690850494 [0.730559,0.748806,0.641975,0.694277] kappa 0.5809666946284289 kb_relative_information_score 0.4890700962934853 mean_absolute_error 0.18357947003540317 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.7313049853372434 [0.604989,0.972341,0.47561,0.558111] number_of_instances 5456 [2205,2097,328,826] precision 0.8049717749294337 [0.921907,0.608838,0.987342,0.918327] predictive_accuracy 0.7313049853372433 prior_entropy 1.7146330399083418 relative_absolute_error 0.5542219997133948 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.2988901896058721 root_relative_squared_error 0.7344758175310795 total_cost 0 unweighted_recall 0.6527628096317394 [0.604989,0.972341,0.47561,0.558111] area_under_roc_curve 0.9605293331166576 [0.954925,0.967099,0.975338,0.952849] area_under_roc_curve 0.944051997147044 [0.934716,0.95613,0.964381,0.930101] area_under_roc_curve 0.9491878995122638 [0.939905,0.958163,0.980093,0.938796] area_under_roc_curve 0.948342170688829 [0.938852,0.951226,0.96376,0.960069] area_under_roc_curve 0.936695169290394 [0.924136,0.942687,0.954693,0.94767] area_under_roc_curve 0.9454908504469481 [0.94604,0.944019,0.994211,0.928387] area_under_roc_curve 0.9394526915195567 [0.936378,0.929552,0.985776,0.954793] area_under_roc_curve 0.9432345376887064 [0.932664,0.946692,0.967562,0.953294] area_under_roc_curve 0.9515178601406514 [0.93992,0.961345,0.990175,0.942172] area_under_roc_curve 0.9414458897542238 [0.922546,0.951341,0.954486,0.961913] 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 0.7327127422075173 [0.740331,0.749091,0.653061,0.70229] f_measure 0.724154901203152 [0.71978,0.749077,0.653061,0.70073] f_measure 0.7745116098342881 [0.783505,0.794574,0.653061,0.748201] f_measure 0.7414021033402826 [0.772118,0.761553,0.533333,0.691729] f_measure 0.7146832229142699 [0.727273,0.736462,0.68,0.64] f_measure 0.7323946615075196 [0.738889,0.751825,0.730769,0.666667] f_measure 0.7084096475019767 [0.715084,0.724638,0.625,0.681818] f_measure 0.7276368265125691 [0.717391,0.754647,0.545455,0.757143] f_measure 0.7222427074629932 [0.715447,0.754159,0.64,0.692308] f_measure 0.6849587041603881 [0.668588,0.716312,0.68,0.651163] kappa 0.588375416865174 kappa 0.5785872597846209 kappa 0.6554037137492177 kappa 0.6042647058823529 kappa 0.5611785532308307 kappa 0.5897350267686624 kappa 0.5502874922476954 kappa 0.585523072243027 kappa 0.5764367333221306 kappa 0.5195441021362341 kb_relative_information_score 0.5231107225304862 kb_relative_information_score 0.4801903172522032 kb_relative_information_score 0.5329441178629192 kb_relative_information_score 0.4847267889591068 kb_relative_information_score 0.4687259174891894 kb_relative_information_score 0.4988822088527084 kb_relative_information_score 0.47664831393798207 kb_relative_information_score 0.47990606948601733 kb_relative_information_score 0.4980684250002823 kb_relative_information_score 0.4473444098351079 mean_absolute_error 0.17069853433042165 mean_absolute_error 0.1871829405327309 mean_absolute_error 0.16913646425450457 mean_absolute_error 0.1816652846554683 mean_absolute_error 0.1905872863346792 mean_absolute_error 0.18122814007972726 mean_absolute_error 0.18765334797617383 mean_absolute_error 0.1864975625300852 mean_absolute_error 0.18130973865196648 mean_absolute_error 0.19987389306336711 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 0.8191268401990989 [0.950355,0.605882,1,0.938776] precision 0.7974758173553355 [0.916084,0.611446,1,0.872727] precision 0.8238192712982628 [0.904762,0.669935,1,0.928571] precision 0.8188895376881872 [0.941176,0.622356,1,0.92] precision 0.8052370436730263 [0.923077,0.593023,1,0.952381] precision 0.8141369559072734 [0.95,0.609467,1,0.897959] precision 0.7946595933105886 [0.927536,0.584795,0.9375,0.918367] precision 0.8010676421960342 [0.897959,0.617021,1,0.929825] precision 0.7953460887789134 [0.891892,0.614458,0.941176,0.9375] precision 0.7865336823247158 [0.920635,0.569014,1,0.893617] predictive_accuracy 0.7362637362637362 predictive_accuracy 0.7289377289377289 predictive_accuracy 0.7783882783882784 predictive_accuracy 0.7472527472527473 predictive_accuracy 0.7197802197802197 predictive_accuracy 0.7362637362637362 predictive_accuracy 0.7119266055045871 predictive_accuracy 0.7339449541284404 predictive_accuracy 0.728440366972477 predictive_accuracy 0.691743119266055 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 0.5154821963159936 relative_absolute_error 0.5652624592073132 relative_absolute_error 0.51040850241776 relative_absolute_error 0.5482171233210237 relative_absolute_error 0.5751413323360735 relative_absolute_error 0.5468979381930414 relative_absolute_error 0.5667220982240724 relative_absolute_error 0.5632624402970936 relative_absolute_error 0.5474557493874058 relative_absolute_error 0.6035092914673785 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 0.2852499878196756 root_mean_squared_error 0.29951711294803895 root_mean_squared_error 0.2879107245593259 root_mean_squared_error 0.2969392056834729 root_mean_squared_error 0.305819825129924 root_mean_squared_error 0.29931321999142474 root_mean_squared_error 0.30494400631782226 root_mean_squared_error 0.2993730580499423 root_mean_squared_error 0.29675307540458834 root_mean_squared_error 0.3121506395724221 root_relative_squared_error 0.70115774237044 root_relative_squared_error 0.7362269997666706 root_relative_squared_error 0.7072039965443687 root_relative_squared_error 0.7293809333135528 root_relative_squared_error 0.751194672881374 root_relative_squared_error 0.7352122979110569 root_relative_squared_error 0.749618275179196 root_relative_squared_error 0.7359640339750713 root_relative_squared_error 0.7293388050846846 root_relative_squared_error 0.7671818536733868 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 0.6582778292964807 [0.606335,0.980952,0.484848,0.560976] unweighted_recall 0.6574102965422909 [0.59276,0.966667,0.484848,0.585366] unweighted_recall 0.6946135190111093 [0.690909,0.97619,0.484848,0.626506] unweighted_recall 0.6383377666510197 [0.654545,0.980952,0.363636,0.554217] unweighted_recall 0.642126949355865 [0.6,0.971429,0.515152,0.481928] unweighted_recall 0.6728439732957805 [0.604545,0.980952,0.575758,0.53012] unweighted_recall 0.6362794522244823 [0.581818,0.952381,0.46875,0.542169] unweighted_recall 0.6455327876923702 [0.597285,0.971292,0.375,0.638554] unweighted_recall 0.6517476488876474 [0.597285,0.976077,0.484848,0.54878] unweighted_recall 0.6296851729910705 [0.524887,0.966507,0.515152,0.512195] usercpu_time_millis 18746.959999999945 usercpu_time_millis 18865.405999999894 usercpu_time_millis 18881.506000000172 usercpu_time_millis 18967.883999999685 usercpu_time_millis 19202.600000000075 usercpu_time_millis 19002.24799999978 usercpu_time_millis 20129.178000000138 usercpu_time_millis 18696.366000000125 usercpu_time_millis 19139.868000000206 usercpu_time_millis 18849.27800000014 usercpu_time_millis_testing 177.3600000001352 usercpu_time_millis_testing 161.7919999998776 usercpu_time_millis_testing 165.29799999989336 usercpu_time_millis_testing 159.6399999998539 usercpu_time_millis_testing 191.53400000004694 usercpu_time_millis_testing 156.60600000001068 usercpu_time_millis_testing 155.78800000002957 usercpu_time_millis_testing 152.0860000000539 usercpu_time_millis_testing 183.21800000012445 usercpu_time_millis_testing 155.90199999996912 usercpu_time_millis_training 18569.59999999981 usercpu_time_millis_training 18703.614000000016 usercpu_time_millis_training 18716.20800000028 usercpu_time_millis_training 18808.24399999983 usercpu_time_millis_training 19011.066000000028 usercpu_time_millis_training 18845.64199999977 usercpu_time_millis_training 19973.39000000011 usercpu_time_millis_training 18544.28000000007 usercpu_time_millis_training 18956.65000000008 usercpu_time_millis_training 18693.37600000017 wall_clock_time_millis 10073.422908782959 wall_clock_time_millis 10287.625789642334 wall_clock_time_millis 9987.92290687561 wall_clock_time_millis 10409.883260726929 wall_clock_time_millis 10283.448219299316 wall_clock_time_millis 10386.128902435303 wall_clock_time_millis 11197.756052017212 wall_clock_time_millis 9726.85194015503 wall_clock_time_millis 9976.853847503662 wall_clock_time_millis 9767.802953720093 wall_clock_time_millis_testing 97.78189659118652 wall_clock_time_millis_testing 84.96403694152832 wall_clock_time_millis_testing 85.50691604614258 wall_clock_time_millis_testing 81.90631866455078 wall_clock_time_millis_testing 103.3620834350586 wall_clock_time_millis_testing 79.32806015014648 wall_clock_time_millis_testing 79.32090759277344 wall_clock_time_millis_testing 76.30085945129395 wall_clock_time_millis_testing 95.8259105682373 wall_clock_time_millis_testing 78.2160758972168 wall_clock_time_millis_training 9975.641012191772 wall_clock_time_millis_training 10202.661752700806 wall_clock_time_millis_training 9902.415990829468 wall_clock_time_millis_training 10327.976942062378 wall_clock_time_millis_training 10180.086135864258 wall_clock_time_millis_training 10306.800842285156 wall_clock_time_millis_training 11118.435144424438 wall_clock_time_millis_training 9650.551080703735 wall_clock_time_millis_training 9881.027936935425 wall_clock_time_millis_training 9689.586877822876 weighted_recall 0.7362637362637363 [0.606335,0.980952,0.484848,0.560976] weighted_recall 0.7289377289377289 [0.59276,0.966667,0.484848,0.585366] weighted_recall 0.7783882783882784 [0.690909,0.97619,0.484848,0.626506] weighted_recall 0.7472527472527473 [0.654545,0.980952,0.363636,0.554217] weighted_recall 0.7197802197802198 [0.6,0.971429,0.515152,0.481928] weighted_recall 0.7362637362637363 [0.604545,0.980952,0.575758,0.53012] weighted_recall 0.7119266055045872 [0.581818,0.952381,0.46875,0.542169] weighted_recall 0.7339449541284404 [0.597285,0.971292,0.375,0.638554] weighted_recall 0.728440366972477 [0.597285,0.976077,0.484848,0.54878] weighted_recall 0.691743119266055 [0.524887,0.966507,0.515152,0.512195]