10382986 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) 8231704 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 2.653098517006086 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.16118152154954246 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.018933306231401107 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 21687681 description https://api.openml.org/data/download/21687681/description.xml -1 21687682 predictions https://api.openml.org/data/download/21687682/predictions.arff area_under_roc_curve 0.912869748276439 [0.898175,0.936045,0.933086,0.885235] average_cost 0 f_measure 0.8884117440423308 [0.878005,0.918817,0.909091,0.830789] kappa 0.8309750719701565 kb_relative_information_score 0.8402118535467382 mean_absolute_error 0.055535190615835776 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.8890214317891089 [0.869991,0.904388,0.953177,0.875335] predictive_accuracy 0.8889296187683284 prior_entropy 1.7146330399083418 recall 0.8889296187683284 [0.886168,0.933715,0.868902,0.790557] relative_absolute_error 0.16765940326354245 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.23565905587487143 root_relative_squared_error 0.5790952120259822 total_cost 0 area_under_roc_curve 0.9164305925807742 [0.902081,0.93244,0.907142,0.917841] area_under_roc_curve 0.9078168813944676 [0.894299,0.940476,0.863636,0.87839] area_under_roc_curve 0.9131303291114726 [0.893363,0.942262,0.905192,0.894975] area_under_roc_curve 0.9176793422373344 [0.911601,0.941667,0.908116,0.876903] area_under_roc_curve 0.8976763327174981 [0.874442,0.924405,0.952596,0.869799] area_under_roc_curve 0.9161316393549165 [0.906316,0.933929,0.984848,0.869799] area_under_roc_curve 0.9043882401384365 [0.889266,0.923134,0.963877,0.874107] area_under_roc_curve 0.9282758136924804 [0.909384,0.94897,0.96875,0.910864] area_under_roc_curve 0.9163616910647148 [0.903825,0.940889,0.954545,0.872267] area_under_roc_curve 0.9108382043722215 [0.897143,0.932281,0.924242,0.887702] 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 0.8899153274305841 [0.884793,0.913753,0.870968,0.850299] f_measure 0.8815338646370406 [0.873874,0.921659,0.842105,0.815287] f_measure 0.8877998767830928 [0.87191,0.927059,0.84375,0.848101] f_measure 0.8946569360569625 [0.892857,0.925234,0.885246,0.825806] f_measure 0.8688559110337772 [0.850575,0.901602,0.923077,0.812903] f_measure 0.8929028374681305 [0.887387,0.915888,0.984615,0.812903] f_measure 0.8784957822005801 [0.865934,0.906475,0.895522,0.834437] f_measure 0.9081842075721375 [0.891892,0.935867,0.967742,0.858896] f_measure 0.8932924185905837 [0.883516,0.927885,0.952381,0.807692] f_measure 0.8876455257283874 [0.876957,0.913349,0.918033,0.83871] kappa 0.833811876667715 kappa 0.8206629681140974 kappa 0.8302602207748524 kappa 0.8406255761076629 kappa 0.8023292574726945 kappa 0.838448353262866 kappa 0.8156245034368578 kappa 0.8608515375266808 kappa 0.8378891225191035 kappa 0.8291685293951401 kb_relative_information_score 0.843872213469896 kb_relative_information_score 0.8217291863227668 kb_relative_information_score 0.837110798361948 kb_relative_information_score 0.8430059354122741 kb_relative_information_score 0.8180108591585263 kb_relative_information_score 0.8509348767793131 kb_relative_information_score 0.8302483804754829 kb_relative_information_score 0.8724997803526529 kb_relative_information_score 0.8469342385600853 kb_relative_information_score 0.8378619580161698 mean_absolute_error 0.054945054945054944 mean_absolute_error 0.05860805860805861 mean_absolute_error 0.055860805860805864 mean_absolute_error 0.0521978021978022 mean_absolute_error 0.06501831501831502 mean_absolute_error 0.05311355311355311 mean_absolute_error 0.060550458715596334 mean_absolute_error 0.045871559633027525 mean_absolute_error 0.05321100917431193 mean_absolute_error 0.05596330275229358 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 0.890796206342819 [0.901408,0.894977,0.931034,0.835294] precision 0.884127148387238 [0.869955,0.892857,1,0.853333] precision 0.8882712375285519 [0.862222,0.916279,0.870968,0.893333] precision 0.8961824312155415 [0.877193,0.908257,0.964286,0.888889] precision 0.8701676220084938 [0.860465,0.867841,0.9375,0.875] precision 0.8936162679609599 [0.879464,0.899083,1,0.875] precision 0.8816335644069303 [0.838298,0.913043,0.857143,0.926471] precision 0.9083696869680369 [0.887892,0.929245,1,0.875] precision 0.8945117035663506 [0.858974,0.932367,1,0.851351] precision 0.8892237738141283 [0.867257,0.894495,1,0.890411] predictive_accuracy 0.8901098901098901 predictive_accuracy 0.8827838827838828 predictive_accuracy 0.8882783882783883 predictive_accuracy 0.8956043956043956 predictive_accuracy 0.86996336996337 predictive_accuracy 0.8937728937728937 predictive_accuracy 0.8788990825688073 predictive_accuracy 0.9082568807339451 predictive_accuracy 0.8935779816513761 predictive_accuracy 0.8880733944954129 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 0.8901098901098901 [0.868778,0.933333,0.818182,0.865854] recall 0.8827838827838828 [0.877828,0.952381,0.727273,0.780488] recall 0.8882783882783882 [0.881818,0.938095,0.818182,0.807229] recall 0.8956043956043956 [0.909091,0.942857,0.818182,0.771084] recall 0.86996336996337 [0.840909,0.938095,0.909091,0.759036] recall 0.8937728937728938 [0.895455,0.933333,0.969697,0.759036] recall 0.8788990825688073 [0.895455,0.9,0.9375,0.759036] recall 0.908256880733945 [0.895928,0.942584,0.9375,0.843373] recall 0.8935779816513761 [0.909502,0.923445,0.909091,0.768293] recall 0.8880733944954129 [0.886878,0.933014,0.848485,0.792683] relative_absolute_error 0.16592525361087498 relative_absolute_error 0.1769869371849333 relative_absolute_error 0.16857293540416318 relative_absolute_error 0.157518972426841 relative_absolute_error 0.19620784284746862 relative_absolute_error 0.1602824631711715 relative_absolute_error 0.18286528528171955 relative_absolute_error 0.13854189979005585 relative_absolute_error 0.16066799897109174 relative_absolute_error 0.16897841271097583 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 0.2344036154692477 root_mean_squared_error 0.24209101306752095 root_mean_squared_error 0.23634890704381492 root_mean_squared_error 0.22846838336584385 root_mean_squared_error 0.25498689185586587 root_mean_squared_error 0.23046377831137177 root_mean_squared_error 0.24607002807249065 root_mean_squared_error 0.2141764684390597 root_mean_squared_error 0.2306751160708756 root_mean_squared_error 0.23656564152956275 root_relative_squared_error 0.5761749933177381 root_relative_squared_error 0.595070974298872 root_relative_squared_error 0.5805511131831341 root_relative_squared_error 0.5611939397105105 root_relative_squared_error 0.6263321703729635 root_relative_squared_error 0.5660952898853665 root_relative_squared_error 0.6048933121995788 root_relative_squared_error 0.5265209191558222 root_relative_squared_error 0.5669370512454748 root_relative_squared_error 0.5814143697821149 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 850.1956330003395 usercpu_time_millis 929.3169610000405 usercpu_time_millis 862.753259000101 usercpu_time_millis 962.4727409998286 usercpu_time_millis 889.4106499999452 usercpu_time_millis 874.2105149999588 usercpu_time_millis 877.7561089998471 usercpu_time_millis 867.8045680001105 usercpu_time_millis 979.363578000175 usercpu_time_millis 922.3597299999255 usercpu_time_millis_testing 74.81263700015006 usercpu_time_millis_testing 75.03560600002857 usercpu_time_millis_testing 76.38552499997786 usercpu_time_millis_testing 99.22077199985324 usercpu_time_millis_testing 74.86683100000846 usercpu_time_millis_testing 76.53363700001137 usercpu_time_millis_testing 77.72341500003677 usercpu_time_millis_testing 78.1757170000219 usercpu_time_millis_testing 123.31917400001657 usercpu_time_millis_testing 109.22706599990306 usercpu_time_millis_training 775.3829960001895 usercpu_time_millis_training 854.2813550000119 usercpu_time_millis_training 786.3677340001232 usercpu_time_millis_training 863.2519689999754 usercpu_time_millis_training 814.5438189999368 usercpu_time_millis_training 797.6768779999475 usercpu_time_millis_training 800.0326939998104 usercpu_time_millis_training 789.6288510000886 usercpu_time_millis_training 856.0444040001585 usercpu_time_millis_training 813.1326640000225 wall_clock_time_millis 850.2163887023926 wall_clock_time_millis 930.368185043335 wall_clock_time_millis 863.2011413574219 wall_clock_time_millis 963.7503623962402 wall_clock_time_millis 890.5892372131348 wall_clock_time_millis 874.7987747192383 wall_clock_time_millis 878.4761428833008 wall_clock_time_millis 869.013786315918 wall_clock_time_millis 979.3882369995117 wall_clock_time_millis 922.3935604095459 wall_clock_time_millis_testing 74.82028007507324 wall_clock_time_millis_testing 75.04510879516602 wall_clock_time_millis_testing 76.39288902282715 wall_clock_time_millis_testing 99.58934783935547 wall_clock_time_millis_testing 74.8744010925293 wall_clock_time_millis_testing 76.5678882598877 wall_clock_time_millis_testing 77.80051231384277 wall_clock_time_millis_testing 78.18341255187988 wall_clock_time_millis_testing 123.32820892333984 wall_clock_time_millis_testing 109.2369556427002 wall_clock_time_millis_training 775.3961086273193 wall_clock_time_millis_training 855.323076248169 wall_clock_time_millis_training 786.8082523345947 wall_clock_time_millis_training 864.1610145568848 wall_clock_time_millis_training 815.7148361206055 wall_clock_time_millis_training 798.2308864593506 wall_clock_time_millis_training 800.675630569458 wall_clock_time_millis_training 790.8303737640381 wall_clock_time_millis_training 856.0600280761719 wall_clock_time_millis_training 813.1566047668457