10383129 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) 8231712 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 100000.0 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00241115807647 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 21687967 description https://api.openml.org/data/download/21687967/description.xml -1 21687968 predictions https://api.openml.org/data/download/21687968/predictions.arff area_under_roc_curve 0.9405580977104631 [0.931616,0.949528,0.938209,0.942588] average_cost 0 f_measure 0.9230870147241915 [0.91676,0.93973,0.901716,0.906212] kappa 0.8835120186944421 kb_relative_information_score 0.8907322714801278 mean_absolute_error 0.03848973607038123 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.9234980077561685 [0.90246,0.950268,0.923323,0.911765] predictive_accuracy 0.9230205278592375 prior_entropy 1.7146330399083418 recall 0.9230205278592375 [0.931519,0.929423,0.881098,0.900726] relative_absolute_error 0.11619958642027692 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.19618801204554073 root_relative_squared_error 0.4821013052551353 total_cost 0 area_under_roc_curve 0.9371600041586429 [0.930045,0.94881,0.920344,0.933269] area_under_roc_curve 0.9415720760049253 [0.927783,0.95744,0.908116,0.951561] area_under_roc_curve 0.9504583329998575 [0.937563,0.961905,0.93647,0.96124] area_under_roc_curve 0.9417310620639534 [0.932111,0.951488,0.922293,0.950272] area_under_roc_curve 0.9269553644205165 [0.918475,0.94375,0.891015,0.921231] area_under_roc_curve 0.9407424426434279 [0.935178,0.950893,0.967748,0.919072] area_under_roc_curve 0.9226823954318063 [0.921958,0.91393,0.964851,0.930488] area_under_roc_curve 0.9475959996793332 [0.937357,0.953698,0.953125,0.957362] area_under_roc_curve 0.9579957003737319 [0.951141,0.963851,0.966767,0.958015] area_under_roc_curve 0.9387348342489744 [0.924606,0.949554,0.952592,0.94366] 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 0.9158073460144504 [0.916479,0.937799,0.861538,0.879518] f_measure 0.9230120770037347 [0.914027,0.947619,0.885246,0.899408] f_measure 0.9341219928640729 [0.92517,0.954436,0.892308,0.923077] f_measure 0.9250658118948281 [0.915929,0.944039,0.888889,0.915663] f_measure 0.9061857013083546 [0.901345,0.929245,0.83871,0.8875] f_measure 0.9230387790774265 [0.92,0.942029,0.939394,0.876543] f_measure 0.9027562664623268 [0.902386,0.898765,0.909091,0.911392] f_measure 0.9341954865581971 [0.922737,0.946341,0.95082,0.927711] f_measure 0.9450812292680975 [0.939866,0.958637,0.925373,0.932515] f_measure 0.9211112225352107 [0.90991,0.937799,0.923077,0.907975] kappa 0.8727852909892113 kappa 0.8836630021763725 kappa 0.9006429697925513 kappa 0.8863579830141076 kappa 0.8580068125726642 kappa 0.8836116327462824 kappa 0.8524333050648303 kappa 0.8998606623895634 kappa 0.9168594747146017 kappa 0.8806547058254358 kb_relative_information_score 0.8787725161222264 kb_relative_information_score 0.8883066328238427 kb_relative_information_score 0.9070496374204794 kb_relative_information_score 0.8917939605146704 kb_relative_information_score 0.860667264062781 kb_relative_information_score 0.8914815228363444 kb_relative_information_score 0.8674127636663251 kb_relative_information_score 0.9077975387167432 kb_relative_information_score 0.9234356164545693 kb_relative_information_score 0.8906551241546231 mean_absolute_error 0.04212454212454213 mean_absolute_error 0.038461538461538464 mean_absolute_error 0.03296703296703297 mean_absolute_error 0.037545787545787544 mean_absolute_error 0.046703296703296704 mean_absolute_error 0.038461538461538464 mean_absolute_error 0.04862385321100918 mean_absolute_error 0.03302752293577982 mean_absolute_error 0.027522935779816515 mean_absolute_error 0.03944954128440367 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 0.9159470800954317 [0.914414,0.942308,0.875,0.869048] precision 0.9239077151638728 [0.914027,0.947619,0.964286,0.873563] precision 0.9343338842772517 [0.923077,0.961353,0.90625,0.906977] precision 0.9263363930631043 [0.892241,0.965174,0.933333,0.915663] precision 0.9067768283013267 [0.889381,0.920561,0.896552,0.922078] precision 0.9236817414404905 [0.9,0.955882,0.939394,0.898734] precision 0.9060381886052224 [0.863071,0.933333,0.882353,0.96] precision 0.9354346977545049 [0.900862,0.965174,1,0.927711] precision 0.9456425126548342 [0.925439,0.975248,0.911765,0.938272] precision 0.9211732496405293 [0.90583,0.937799,0.9375,0.91358] predictive_accuracy 0.9157509157509157 predictive_accuracy 0.923076923076923 predictive_accuracy 0.934065934065934 predictive_accuracy 0.924908424908425 predictive_accuracy 0.9065934065934066 predictive_accuracy 0.923076923076923 predictive_accuracy 0.9027522935779817 predictive_accuracy 0.9339449541284404 predictive_accuracy 0.944954128440367 predictive_accuracy 0.9211009174311927 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 0.9157509157509157 [0.918552,0.933333,0.848485,0.890244] recall 0.9230769230769231 [0.914027,0.947619,0.818182,0.926829] recall 0.9340659340659341 [0.927273,0.947619,0.878788,0.939759] recall 0.924908424908425 [0.940909,0.92381,0.848485,0.915663] recall 0.9065934065934066 [0.913636,0.938095,0.787879,0.855422] recall 0.9230769230769231 [0.940909,0.928571,0.939394,0.855422] recall 0.9027522935779817 [0.945455,0.866667,0.9375,0.86747] recall 0.9339449541284404 [0.945701,0.92823,0.90625,0.927711] recall 0.944954128440367 [0.954751,0.942584,0.939394,0.926829] recall 0.9211009174311927 [0.914027,0.937799,0.909091,0.902439] relative_absolute_error 0.12720936110167083 relative_absolute_error 0.1161476775276125 relative_absolute_error 0.09948566679589957 relative_absolute_error 0.11330312051755229 relative_absolute_error 0.14093802796085775 relative_absolute_error 0.11606661126188283 relative_absolute_error 0.14684636545350208 relative_absolute_error 0.09975016784884021 relative_absolute_error 0.08310413739884057 relative_absolute_error 0.11911593027167147 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 0.20524264207162732 root_mean_squared_error 0.19611613513818404 root_mean_squared_error 0.18156825980064073 root_mean_squared_error 0.1937673541796645 root_mean_squared_error 0.2161094553768916 root_mean_squared_error 0.19611613513818404 root_mean_squared_error 0.22050817039513337 root_mean_squared_error 0.18173475984461482 root_mean_squared_error 0.1659003790827993 root_mean_squared_error 0.19861908590164157 root_relative_squared_error 0.5044959638843506 root_relative_squared_error 0.48206258519748973 root_relative_squared_error 0.44599171904122836 root_relative_squared_error 0.47595673098120506 root_relative_squared_error 0.5308363235426206 root_relative_squared_error 0.48172611412389543 root_relative_squared_error 0.5420567413357927 root_relative_squared_error 0.446767814845987 root_relative_squared_error 0.40773826548681563 root_relative_squared_error 0.48815199836097733 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 7196.749984999997 usercpu_time_millis 7034.763312999985 usercpu_time_millis 8667.99122700013 usercpu_time_millis 7011.874347000003 usercpu_time_millis 7113.920886000187 usercpu_time_millis 7347.852129999865 usercpu_time_millis 6903.563411999812 usercpu_time_millis 7649.834444999897 usercpu_time_millis 6520.331073000079 usercpu_time_millis 6926.996971000108 usercpu_time_millis_testing 30.667526000115686 usercpu_time_millis_testing 30.449832999920545 usercpu_time_millis_testing 30.13869699998395 usercpu_time_millis_testing 30.306937999966976 usercpu_time_millis_testing 29.74497400009568 usercpu_time_millis_testing 30.105815000069924 usercpu_time_millis_testing 30.565658999876177 usercpu_time_millis_testing 31.82520299992575 usercpu_time_millis_testing 30.227532000026258 usercpu_time_millis_testing 29.575125000064872 usercpu_time_millis_training 7166.082458999881 usercpu_time_millis_training 7004.313480000064 usercpu_time_millis_training 8637.852530000146 usercpu_time_millis_training 6981.567409000036 usercpu_time_millis_training 7084.175912000092 usercpu_time_millis_training 7317.746314999795 usercpu_time_millis_training 6872.997752999936 usercpu_time_millis_training 7618.009241999971 usercpu_time_millis_training 6490.103541000053 usercpu_time_millis_training 6897.421846000043 wall_clock_time_millis 7203.606843948364 wall_clock_time_millis 7034.888982772827 wall_clock_time_millis 8675.902843475342 wall_clock_time_millis 7017.542123794556 wall_clock_time_millis 7119.8625564575195 wall_clock_time_millis 7348.1950759887695 wall_clock_time_millis 6904.879331588745 wall_clock_time_millis 7651.386260986328 wall_clock_time_millis 6520.933389663696 wall_clock_time_millis 6928.018808364868 wall_clock_time_millis_testing 30.67493438720703 wall_clock_time_millis_testing 30.4567813873291 wall_clock_time_millis_testing 30.145645141601562 wall_clock_time_millis_testing 30.313730239868164 wall_clock_time_millis_testing 29.773235321044922 wall_clock_time_millis_testing 30.11298179626465 wall_clock_time_millis_testing 30.572891235351562 wall_clock_time_millis_testing 31.83126449584961 wall_clock_time_millis_testing 30.23362159729004 wall_clock_time_millis_testing 29.583215713500977 wall_clock_time_millis_training 7172.931909561157 wall_clock_time_millis_training 7004.432201385498 wall_clock_time_millis_training 8645.75719833374 wall_clock_time_millis_training 6987.2283935546875 wall_clock_time_millis_training 7090.089321136475 wall_clock_time_millis_training 7318.082094192505 wall_clock_time_millis_training 6874.306440353394 wall_clock_time_millis_training 7619.5549964904785 wall_clock_time_millis_training 6490.699768066406 wall_clock_time_millis_training 6898.435592651367