10382069 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) 8231666 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 823.1132602725113 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.024176091883726603 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.12547385078511383 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 1 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 21685847 description https://api.openml.org/data/download/21685847/description.xml -1 21685848 predictions https://api.openml.org/data/download/21685848/predictions.arff area_under_roc_curve 0.9368657051724482 [0.926141,0.946824,0.935355,0.940814] average_cost 0 f_measure 0.9187395650655223 [0.911512,0.933776,0.901099,0.906863] kappa 0.8770436716337229 kb_relative_information_score 0.8848969777468146 mean_absolute_error 0.0405975073313783 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.9188414807851781 [0.907416,0.929584,0.928803,0.918114] predictive_accuracy 0.9188049853372433 prior_entropy 1.7146330399083418 recall 0.9188049853372434 [0.915646,0.938007,0.875,0.895884] relative_absolute_error 0.12256289710519684 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.20148823124782822 root_relative_squared_error 0.4951257636250381 total_cost 0 area_under_roc_curve 0.9363320547168097 [0.920452,0.947917,0.93647,0.949406] area_under_roc_curve 0.9346475780890482 [0.918643,0.955357,0.892965,0.941521] area_under_roc_curve 0.9485480955794491 [0.936085,0.955952,0.952596,0.96124] area_under_roc_curve 0.9413534437425825 [0.932962,0.943452,0.935495,0.960616] area_under_roc_curve 0.9237432484713 [0.913134,0.934524,0.906167,0.931575] area_under_roc_curve 0.9378192930367499 [0.935178,0.947321,0.954545,0.914127] area_under_roc_curve 0.9374252264275831 [0.928322,0.941898,0.965826,0.93929] area_under_roc_curve 0.9383718133718133 [0.931393,0.949875,0.90625,0.940372] area_under_roc_curve 0.9406242329482689 [0.932832,0.950722,0.936464,0.937563] area_under_roc_curve 0.9297993846504184 [0.91247,0.94121,0.966767,0.932545] 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 0.9138355802740599 [0.908665,0.932401,0.892308,0.888889] f_measure 0.9154088927290511 [0.902935,0.943396,0.866667,0.89697] f_measure 0.9322178876926732 [0.924485,0.945368,0.923077,0.923077] f_measure 0.9249903550751318 [0.918919,0.930788,0.878788,0.944785] f_measure 0.9047380844729546 [0.894855,0.917647,0.857143,0.917197] f_measure 0.9211013770296076 [0.92,0.935561,0.952381,0.875] f_measure 0.9192410964758245 [0.914027,0.928571,0.923077,0.907975] f_measure 0.9227216977199423 [0.917226,0.93617,0.896552,0.91358] f_measure 0.9230124967585113 [0.91796,0.941748,0.892308,0.901235] f_measure 0.9099958986041269 [0.895928,0.926366,0.925373,0.9] kappa 0.8705547652916072 kappa 0.8721291945198224 kappa 0.8979036953181855 kappa 0.8864905155235097 kappa 0.8550644736439095 kappa 0.8803638309256286 kappa 0.8778954014736059 kappa 0.8825937096079275 kappa 0.8833047840450263 kappa 0.8639984110655029 kb_relative_information_score 0.8818209498645418 kb_relative_information_score 0.8753853836271852 kb_relative_information_score 0.9070860159799661 kb_relative_information_score 0.8950157041141809 kb_relative_information_score 0.8616160934636733 kb_relative_information_score 0.8861219142205488 kb_relative_information_score 0.8895193943504397 kb_relative_information_score 0.8850700278397712 kb_relative_information_score 0.8895950935623955 kb_relative_information_score 0.8777335862074779 mean_absolute_error 0.04304029304029304 mean_absolute_error 0.04212454212454213 mean_absolute_error 0.03388278388278388 mean_absolute_error 0.037545787545787544 mean_absolute_error 0.047619047619047616 mean_absolute_error 0.039377289377289376 mean_absolute_error 0.04036697247706422 mean_absolute_error 0.03853211009174312 mean_absolute_error 0.03853211009174312 mean_absolute_error 0.044954128440366975 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 0.9154501051651165 [0.941748,0.913242,0.90625,0.853933] precision 0.9162032836168631 [0.900901,0.934579,0.962963,0.891566] precision 0.9323554368744819 [0.930876,0.943128,0.9375,0.906977] precision 0.9252338044161351 [0.910714,0.933014,0.878788,0.9625] precision 0.9061437218951817 [0.881057,0.906977,0.9,0.972973] precision 0.9219640009113693 [0.9,0.937799,1,0.909091] precision 0.9193506225157602 [0.90991,0.928571,0.909091,0.925] precision 0.9240096678690833 [0.90708,0.925234,1,0.936709] precision 0.9236059452252904 [0.9,0.955665,0.90625,0.9125] precision 0.9101304752736902 [0.895928,0.919811,0.911765,0.923077] predictive_accuracy 0.9139194139194139 predictive_accuracy 0.9157509157509157 predictive_accuracy 0.9322344322344323 predictive_accuracy 0.924908424908425 predictive_accuracy 0.9047619047619048 predictive_accuracy 0.9212454212454213 predictive_accuracy 0.9192660550458716 predictive_accuracy 0.9229357798165139 predictive_accuracy 0.9229357798165139 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 recall 0.9139194139194139 [0.877828,0.952381,0.878788,0.926829] recall 0.9157509157509157 [0.904977,0.952381,0.787879,0.902439] recall 0.9322344322344323 [0.918182,0.947619,0.909091,0.939759] recall 0.924908424908425 [0.927273,0.928571,0.878788,0.927711] recall 0.9047619047619048 [0.909091,0.928571,0.818182,0.86747] recall 0.9212454212454212 [0.940909,0.933333,0.909091,0.843373] recall 0.9192660550458716 [0.918182,0.928571,0.9375,0.891566] recall 0.9229357798165138 [0.927602,0.947368,0.8125,0.891566] recall 0.9229357798165138 [0.936652,0.92823,0.878788,0.890244] recall 0.9100917431192661 [0.895928,0.933014,0.939394,0.878049] relative_absolute_error 0.1299747819951854 relative_absolute_error 0.12720936110167083 relative_absolute_error 0.10224915754023012 relative_absolute_error 0.11330312051755229 relative_absolute_error 0.14370151870518827 relative_absolute_error 0.11883010200621337 relative_absolute_error 0.12191019018781306 relative_absolute_error 0.11637519582364692 relative_absolute_error 0.11634579235837678 relative_absolute_error 0.13573675775143956 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 0.20746154593151242 root_mean_squared_error 0.20524264207162732 root_mean_squared_error 0.18407276790113164 root_mean_squared_error 0.1937673541796645 root_mean_squared_error 0.21821789023599236 root_mean_squared_error 0.19843711693453264 root_mean_squared_error 0.20091533658997818 root_mean_squared_error 0.19629597574006227 root_mean_squared_error 0.19629597574006227 root_mean_squared_error 0.21202388648538395 root_relative_squared_error 0.5099501328146492 root_relative_squared_error 0.5044959638843506 root_relative_squared_error 0.45214361956787913 root_relative_squared_error 0.47595673098120506 root_relative_squared_error 0.5360153371451593 root_relative_squared_error 0.48742721332677086 root_relative_squared_error 0.49389332123700364 root_relative_squared_error 0.48256439340185575 root_relative_squared_error 0.4824424218485307 root_relative_squared_error 0.5210973729853712 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 993.245786999978 usercpu_time_millis 1003.6499840000488 usercpu_time_millis 1040.9585849999985 usercpu_time_millis 992.839717000038 usercpu_time_millis 946.8524289999323 usercpu_time_millis 1027.5155499999755 usercpu_time_millis 1129.2442200000323 usercpu_time_millis 1086.527015999991 usercpu_time_millis 1010.0556529999949 usercpu_time_millis 940.488683000126 usercpu_time_millis_testing 70.52600099996198 usercpu_time_millis_testing 76.6672690000405 usercpu_time_millis_testing 71.40747599999031 usercpu_time_millis_testing 67.56375800000569 usercpu_time_millis_testing 71.56079499998214 usercpu_time_millis_testing 74.52768300004209 usercpu_time_millis_testing 72.20056200003455 usercpu_time_millis_testing 71.75832199993692 usercpu_time_millis_testing 70.02376999992066 usercpu_time_millis_testing 69.72638800004916 usercpu_time_millis_training 922.719786000016 usercpu_time_millis_training 926.9827150000083 usercpu_time_millis_training 969.5511090000082 usercpu_time_millis_training 925.2759590000323 usercpu_time_millis_training 875.2916339999501 usercpu_time_millis_training 952.9878669999334 usercpu_time_millis_training 1057.0436579999978 usercpu_time_millis_training 1014.768694000054 usercpu_time_millis_training 940.0318830000742 usercpu_time_millis_training 870.7622950000768 wall_clock_time_millis 994.6300983428955 wall_clock_time_millis 1003.8635730743408 wall_clock_time_millis 1041.9175624847412 wall_clock_time_millis 993.0253028869629 wall_clock_time_millis 946.897029876709 wall_clock_time_millis 1027.7442932128906 wall_clock_time_millis 1129.293441772461 wall_clock_time_millis 1088.0486965179443 wall_clock_time_millis 1010.0970268249512 wall_clock_time_millis 940.5825138092041 wall_clock_time_millis_testing 70.6336498260498 wall_clock_time_millis_testing 76.68495178222656 wall_clock_time_millis_testing 71.41470909118652 wall_clock_time_millis_testing 67.57307052612305 wall_clock_time_millis_testing 71.57015800476074 wall_clock_time_millis_testing 74.5384693145752 wall_clock_time_millis_testing 72.20911979675293 wall_clock_time_millis_testing 71.87318801879883 wall_clock_time_millis_testing 70.03116607666016 wall_clock_time_millis_testing 69.75269317626953 wall_clock_time_millis_training 923.9964485168457 wall_clock_time_millis_training 927.1786212921143 wall_clock_time_millis_training 970.5028533935547 wall_clock_time_millis_training 925.4522323608398 wall_clock_time_millis_training 875.3268718719482 wall_clock_time_millis_training 953.2058238983154 wall_clock_time_millis_training 1057.084321975708 wall_clock_time_millis_training 1016.1755084991455 wall_clock_time_millis_training 940.065860748291 wall_clock_time_millis_training 870.8298206329346