10382974 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) 8231703 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 0.8002116789865572 13389 cache_size 200 13389 class_weight null 13389 coef0 0.346790741622226 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.056654090108587324 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 21687657 description https://api.openml.org/data/download/21687657/description.xml -1 21687658 predictions https://api.openml.org/data/download/21687658/predictions.arff area_under_roc_curve 0.9144098138300747 [0.901761,0.935537,0.935001,0.886361] average_cost 0 f_measure 0.8899728042986824 [0.88234,0.918449,0.916667,0.827456] kappa 0.8333399908361432 kb_relative_information_score 0.8425681454900669 mean_absolute_error 0.054802052785923754 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.8904372886177011 [0.875446,0.905468,0.966216,0.862205] predictive_accuracy 0.8903958944281526 prior_entropy 1.7146330399083418 recall 0.8903958944281525 [0.889342,0.931807,0.871951,0.7954] relative_absolute_error 0.16544607780791812 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.23409838270676658 root_relative_squared_error 0.5752601022067066 total_cost 0 area_under_roc_curve 0.9087360901516982 [0.897466,0.924702,0.908116,0.89847] area_under_roc_curve 0.9113043135025893 [0.897376,0.946726,0.863636,0.877313] area_under_roc_curve 0.911364722977704 [0.891885,0.940774,0.906167,0.890655] area_under_roc_curve 0.9252884462494534 [0.920803,0.94494,0.909091,0.893895] area_under_roc_curve 0.9022319126181702 [0.886601,0.923512,0.952596,0.869799] area_under_roc_curve 0.9180735633173885 [0.914668,0.930655,0.984848,0.868719] area_under_roc_curve 0.9133899582132103 [0.902902,0.931485,0.981451,0.869165] area_under_roc_curve 0.9287367724867724 [0.913189,0.941793,0.96875,0.92183] area_under_roc_curve 0.9183681972108897 [0.904649,0.940889,0.954545,0.883383] area_under_roc_curve 0.9066219010514873 [0.888093,0.929889,0.923266,0.89056] 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 0.8808202560635895 [0.878719,0.904429,0.885246,0.824242] f_measure 0.8850812018125763 [0.877828,0.928736,0.842105,0.810127] f_measure 0.8841209033633421 [0.870748,0.924883,0.857143,0.82716] f_measure 0.9041031131984567 [0.904977,0.928074,0.9,0.842767] f_measure 0.8744896856251783 [0.864989,0.901149,0.923077,0.812903] f_measure 0.8947945665383727 [0.896861,0.912941,0.984615,0.807692] f_measure 0.891083974769016 [0.880694,0.917874,0.939394,0.832215] f_measure 0.908387789979977 [0.896396,0.92823,0.967742,0.86747] f_measure 0.8953682613580309 [0.884956,0.927885,0.952381,0.81761] f_measure 0.8803767380639915 [0.866817,0.910798,0.903226,0.830189] kappa 0.819536255466287 kappa 0.8264008902518448 kappa 0.8250258152795934 kappa 0.8548963289670716 kappa 0.8106622334186666 kappa 0.8413203420163055 kappa 0.8347627685651006 kappa 0.8611196053248525 kappa 0.8410241188903161 kappa 0.8186486057571709 kb_relative_information_score 0.8299383133210461 kb_relative_information_score 0.8261736882618378 kb_relative_information_score 0.8327270289835108 kb_relative_information_score 0.8569187900743155 kb_relative_information_score 0.8245595033897153 kb_relative_information_score 0.8530727417955982 kb_relative_information_score 0.8469526129114555 kb_relative_information_score 0.8743598795617729 kb_relative_information_score 0.8510714045629468 kb_relative_information_score 0.8300104605927295 mean_absolute_error 0.05952380952380952 mean_absolute_error 0.056776556776556776 mean_absolute_error 0.057692307692307696 mean_absolute_error 0.047619047619047616 mean_absolute_error 0.06227106227106227 mean_absolute_error 0.0521978021978022 mean_absolute_error 0.05412844036697248 mean_absolute_error 0.045871559633027525 mean_absolute_error 0.05229357798165138 mean_absolute_error 0.05963302752293578 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 0.881820500307167 [0.888889,0.885845,0.964286,0.819277] precision 0.8875200822569244 [0.877828,0.897778,1,0.842105] precision 0.884160081612685 [0.868778,0.912037,0.9,0.848101] precision 0.9055210617189661 [0.900901,0.904977,1,0.881579] precision 0.8756570266650912 [0.870968,0.871111,0.9375,0.875] precision 0.895254165871887 [0.884956,0.902326,1,0.863014] precision 0.8954965250854164 [0.842324,0.931373,0.911765,0.939394] precision 0.9086518286913235 [0.892377,0.92823,1,0.86747] precision 0.8961972566280504 [0.865801,0.932367,1,0.844156] precision 0.8809740268874272 [0.864865,0.894009,0.965517,0.857143] predictive_accuracy 0.880952380952381 predictive_accuracy 0.8864468864468864 predictive_accuracy 0.8846153846153847 predictive_accuracy 0.9047619047619048 predictive_accuracy 0.8754578754578755 predictive_accuracy 0.8956043956043956 predictive_accuracy 0.891743119266055 predictive_accuracy 0.9082568807339451 predictive_accuracy 0.8954128440366972 predictive_accuracy 0.8807339449541284 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 0.8809523809523809 [0.868778,0.92381,0.818182,0.829268] recall 0.8864468864468864 [0.877828,0.961905,0.727273,0.780488] recall 0.8846153846153846 [0.872727,0.938095,0.818182,0.807229] recall 0.9047619047619048 [0.909091,0.952381,0.818182,0.807229] recall 0.8754578754578755 [0.859091,0.933333,0.909091,0.759036] recall 0.8956043956043956 [0.909091,0.92381,0.969697,0.759036] recall 0.8917431192660551 [0.922727,0.904762,0.96875,0.746988] recall 0.908256880733945 [0.900452,0.92823,0.9375,0.86747] recall 0.8954128440366973 [0.904977,0.923445,0.909091,0.792683] recall 0.8807339449541285 [0.868778,0.92823,0.848485,0.804878] relative_absolute_error 0.1797523580784479 relative_absolute_error 0.17145609539790418 relative_absolute_error 0.17409991689282425 relative_absolute_error 0.14370151870518827 relative_absolute_error 0.18791737061447697 relative_absolute_error 0.157518972426841 relative_absolute_error 0.16347048229729477 relative_absolute_error 0.13854189979005585 relative_absolute_error 0.15789786105779707 relative_absolute_error 0.18005896436415456 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 0.2439750182371333 root_mean_squared_error 0.23827831789014453 root_mean_squared_error 0.2401922307076307 root_mean_squared_error 0.21821789023599236 root_mean_squared_error 0.24954170447254356 root_mean_squared_error 0.22846838336584385 root_mean_squared_error 0.23265519630339762 root_mean_squared_error 0.2141764684390597 root_mean_squared_error 0.22867789132675545 root_mean_squared_error 0.24419874594873697 root_relative_squared_error 0.5997019466660809 root_relative_squared_error 0.5856991921531497 root_relative_squared_error 0.5899915876886402 root_relative_squared_error 0.5360153371451593 root_relative_squared_error 0.6129569885859265 root_relative_squared_error 0.5611939397105105 root_relative_squared_error 0.571916756359075 root_relative_squared_error 0.5265209191558222 root_relative_squared_error 0.5620284129562971 root_relative_squared_error 0.6001744761384754 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 1276.2182550000034 usercpu_time_millis 1053.9242849999937 usercpu_time_millis 1218.947278000087 usercpu_time_millis 1311.6415419999612 usercpu_time_millis 1235.3146829998423 usercpu_time_millis 1003.3868830000756 usercpu_time_millis 1055.8379040001 usercpu_time_millis 1430.2341780000916 usercpu_time_millis 1385.398036999959 usercpu_time_millis 1272.088192999945 usercpu_time_millis_testing 84.26740599998084 usercpu_time_millis_testing 132.88966300001448 usercpu_time_millis_testing 122.62231099998644 usercpu_time_millis_testing 84.13498799995978 usercpu_time_millis_testing 119.48805099996207 usercpu_time_millis_testing 89.94715800008635 usercpu_time_millis_testing 135.40377100002843 usercpu_time_millis_testing 135.95608199989329 usercpu_time_millis_testing 83.4383709998292 usercpu_time_millis_testing 127.06171699983315 usercpu_time_millis_training 1191.9508490000226 usercpu_time_millis_training 921.0346219999792 usercpu_time_millis_training 1096.3249670001005 usercpu_time_millis_training 1227.5065540000014 usercpu_time_millis_training 1115.8266319998802 usercpu_time_millis_training 913.4397249999893 usercpu_time_millis_training 920.4341330000716 usercpu_time_millis_training 1294.2780960001983 usercpu_time_millis_training 1301.9596660001298 usercpu_time_millis_training 1145.0264760001119 wall_clock_time_millis 1276.4928340911865 wall_clock_time_millis 1058.3288669586182 wall_clock_time_millis 1218.9784049987793 wall_clock_time_millis 1311.6919994354248 wall_clock_time_millis 1237.1432781219482 wall_clock_time_millis 1003.5984516143799 wall_clock_time_millis 1055.9008121490479 wall_clock_time_millis 1437.037706375122 wall_clock_time_millis 1392.1191692352295 wall_clock_time_millis 1272.118091583252 wall_clock_time_millis_testing 84.2742919921875 wall_clock_time_millis_testing 132.94363021850586 wall_clock_time_millis_testing 122.63369560241699 wall_clock_time_millis_testing 84.14244651794434 wall_clock_time_millis_testing 119.51065063476562 wall_clock_time_millis_testing 89.95628356933594 wall_clock_time_millis_testing 135.41626930236816 wall_clock_time_millis_testing 136.9154453277588 wall_clock_time_millis_testing 83.44626426696777 wall_clock_time_millis_testing 127.07090377807617 wall_clock_time_millis_training 1192.218542098999 wall_clock_time_millis_training 925.3852367401123 wall_clock_time_millis_training 1096.3447093963623 wall_clock_time_millis_training 1227.5495529174805 wall_clock_time_millis_training 1117.6326274871826 wall_clock_time_millis_training 913.642168045044 wall_clock_time_millis_training 920.4845428466797 wall_clock_time_millis_training 1300.1222610473633 wall_clock_time_millis_training 1308.6729049682617 wall_clock_time_millis_training 1145.0471878051758