10382081 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) 8231667 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 86.04139203556576 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.005047142445217977 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 21685871 description https://api.openml.org/data/download/21685871/description.xml -1 21685872 predictions https://api.openml.org/data/download/21685872/predictions.arff area_under_roc_curve 0.9305949964531114 [0.917768,0.943607,0.937074,0.929228] average_cost 0 f_measure 0.9106543537545492 [0.90158,0.929604,0.90566,0.888752] kappa 0.864775419534725 kb_relative_information_score 0.8737966441318025 mean_absolute_error 0.04462976539589443 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.9107795226265897 [0.897528,0.924128,0.935065,0.902622] predictive_accuracy 0.9107404692082112 prior_entropy 1.7146330399083418 recall 0.9107404692082112 [0.905669,0.935145,0.878049,0.875303] relative_absolute_error 0.1347361871111306 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.21125758068266906 root_relative_squared_error 0.5191324094181408 total_cost 0 area_under_roc_curve 0.9254598966100781 [0.914208,0.940774,0.89199,0.930036] area_under_roc_curve 0.9219224453707212 [0.903529,0.946429,0.893939,0.919996] area_under_roc_curve 0.9287846398691536 [0.907906,0.946726,0.950647,0.93004] area_under_roc_curve 0.9308922532149733 [0.921542,0.94375,0.908116,0.9322] area_under_roc_curve 0.9216607548927338 [0.905633,0.933333,0.922293,0.934359] area_under_roc_curve 0.9436726897956839 [0.936712,0.954464,0.984848,0.918447] area_under_roc_curve 0.9254101302962262 [0.918217,0.929709,0.961927,0.919522] area_under_roc_curve 0.9421620655173287 [0.924711,0.951947,0.967775,0.954115] area_under_roc_curve 0.9378426437194548 [0.936533,0.947425,0.952592,0.911012] area_under_roc_curve 0.9282148164753962 [0.908769,0.94153,0.938417,0.94258] 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 0.9009047326858466 [0.899083,0.924883,0.852459,0.863905] f_measure 0.8988552553835679 [0.885845,0.930233,0.881356,0.860606] f_measure 0.9065044408758223 [0.890411,0.933649,0.895522,0.884848] f_measure 0.9118816330759311 [0.905405,0.929245,0.885246,0.895706] f_measure 0.9009237722190789 [0.887872,0.914153,0.888889,0.906832] f_measure 0.9301962247755021 [0.922049,0.943128,0.984615,0.897436] f_measure 0.9049288298890346 [0.899123,0.917073,0.869565,0.903226] f_measure 0.9247814717490584 [0.911162,0.940334,0.952381,0.911243] f_measure 0.919200199845489 [0.921053,0.938875,0.923077,0.8625] f_measure 0.9080964094421743 [0.892449,0.924883,0.920635,0.902439] kappa 0.8504739252369627 kappa 0.847015970860185 kappa 0.8591559269225321 kappa 0.8665118269054458 kappa 0.8499557256414694 kappa 0.8941973778818059 kappa 0.8553675776365817 kappa 0.8864739085592932 kappa 0.8775518540834771 kappa 0.8611266830426761 kb_relative_information_score 0.8567746968770354 kb_relative_information_score 0.8527247837599811 kb_relative_information_score 0.8715132580862809 kb_relative_information_score 0.8714041224078193 kb_relative_information_score 0.8604810775212134 kb_relative_information_score 0.9016188936734537 kb_relative_information_score 0.8678355948687593 kb_relative_information_score 0.8991091639839177 kb_relative_information_score 0.8835015098400733 kb_relative_information_score 0.8730581900114687 mean_absolute_error 0.04945054945054945 mean_absolute_error 0.05036630036630037 mean_absolute_error 0.046703296703296704 mean_absolute_error 0.04395604395604396 mean_absolute_error 0.04945054945054945 mean_absolute_error 0.0347985347985348 mean_absolute_error 0.047706422018348627 mean_absolute_error 0.03761467889908257 mean_absolute_error 0.04036697247706422 mean_absolute_error 0.045871559633027525 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 0.901913919530485 [0.911628,0.912037,0.928571,0.83908] precision 0.9004207071221674 [0.894009,0.909091,1,0.855422] precision 0.9064805700016719 [0.894495,0.929245,0.882353,0.890244] precision 0.9126142854697594 [0.897321,0.920561,0.964286,0.9125] precision 0.9017510713644751 [0.894009,0.891403,0.933333,0.935897] precision 0.9314584458356868 [0.90393,0.938679,1,0.958904] precision 0.9085175877167792 [0.868644,0.94,0.810811,0.972222] precision 0.9249465940619126 [0.917431,0.938095,0.967742,0.895349] precision 0.9203767398909893 [0.893617,0.96,0.9375,0.884615] precision 0.9085343414272091 [0.902778,0.907834,0.966667,0.902439] predictive_accuracy 0.9010989010989011 predictive_accuracy 0.8992673992673993 predictive_accuracy 0.9065934065934066 predictive_accuracy 0.9120879120879121 predictive_accuracy 0.9010989010989011 predictive_accuracy 0.9304029304029303 predictive_accuracy 0.9045871559633027 predictive_accuracy 0.9247706422018349 predictive_accuracy 0.9192660550458716 predictive_accuracy 0.9082568807339451 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 0.9010989010989011 [0.886878,0.938095,0.787879,0.890244] recall 0.8992673992673993 [0.877828,0.952381,0.787879,0.865854] recall 0.9065934065934066 [0.886364,0.938095,0.909091,0.879518] recall 0.9120879120879121 [0.913636,0.938095,0.818182,0.879518] recall 0.9010989010989011 [0.881818,0.938095,0.848485,0.879518] recall 0.9304029304029304 [0.940909,0.947619,0.969697,0.843373] recall 0.9045871559633027 [0.931818,0.895238,0.9375,0.843373] recall 0.9247706422018349 [0.904977,0.942584,0.9375,0.927711] recall 0.9192660550458716 [0.950226,0.91866,0.909091,0.841463] recall 0.908256880733945 [0.882353,0.942584,0.878788,0.902439] relative_absolute_error 0.1493327282497875 relative_absolute_error 0.15209814914330205 relative_absolute_error 0.14093802796085775 relative_absolute_error 0.1326475557278661 relative_absolute_error 0.14922850019384937 relative_absolute_error 0.10501264828456065 relative_absolute_error 0.14407567931286994 relative_absolute_error 0.1136043578278458 relative_absolute_error 0.12188606818496617 relative_absolute_error 0.13850689566473426 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 0.22237479499833035 root_mean_squared_error 0.22442437560635067 root_mean_squared_error 0.2161094553768916 root_mean_squared_error 0.20965696734438366 root_mean_squared_error 0.22237479499833035 root_mean_squared_error 0.18654365386829647 root_mean_squared_error 0.2184179983846309 root_mean_squared_error 0.19394504092418186 root_mean_squared_error 0.20091533658997818 root_mean_squared_error 0.2141764684390597 root_relative_squared_error 0.5466075929149047 root_relative_squared_error 0.5516455574137296 root_relative_squared_error 0.5308363235426206 root_relative_squared_error 0.5149868780895942 root_relative_squared_error 0.546226070578863 root_relative_squared_error 0.45821293301099225 root_relative_squared_error 0.5369186467844026 root_relative_squared_error 0.4767849706242084 root_relative_squared_error 0.49379556155210175 root_relative_squared_error 0.5263878372806452 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 944.4962970000006 usercpu_time_millis 983.2733050000115 usercpu_time_millis 944.2282500000374 usercpu_time_millis 953.5969639998712 usercpu_time_millis 1008.5060219998923 usercpu_time_millis 1474.3004839999685 usercpu_time_millis 955.0962310000841 usercpu_time_millis 932.7786699999479 usercpu_time_millis 956.6590799998949 usercpu_time_millis 992.3962459999984 usercpu_time_millis_testing 65.16554500001348 usercpu_time_millis_testing 60.15861899993524 usercpu_time_millis_testing 59.430123999959505 usercpu_time_millis_testing 59.92650399991817 usercpu_time_millis_testing 92.61925999999221 usercpu_time_millis_testing 91.02913799995349 usercpu_time_millis_testing 59.74330700007613 usercpu_time_millis_testing 66.12104999999247 usercpu_time_millis_testing 58.35755299995071 usercpu_time_millis_testing 60.21732300007443 usercpu_time_millis_training 879.3307519999871 usercpu_time_millis_training 923.1146860000763 usercpu_time_millis_training 884.7981260000779 usercpu_time_millis_training 893.670459999953 usercpu_time_millis_training 915.8867619999 usercpu_time_millis_training 1383.271346000015 usercpu_time_millis_training 895.352924000008 usercpu_time_millis_training 866.6576199999554 usercpu_time_millis_training 898.3015269999441 usercpu_time_millis_training 932.178922999924 wall_clock_time_millis 944.5500373840332 wall_clock_time_millis 984.2972755432129 wall_clock_time_millis 944.2479610443115 wall_clock_time_millis 953.6657333374023 wall_clock_time_millis 1008.5301399230957 wall_clock_time_millis 1474.4086265563965 wall_clock_time_millis 955.1312923431396 wall_clock_time_millis 932.9969882965088 wall_clock_time_millis 956.7787647247314 wall_clock_time_millis 992.4447536468506 wall_clock_time_millis_testing 65.17338752746582 wall_clock_time_millis_testing 60.166120529174805 wall_clock_time_millis_testing 59.43775177001953 wall_clock_time_millis_testing 59.95988845825195 wall_clock_time_millis_testing 92.62704849243164 wall_clock_time_millis_testing 91.06111526489258 wall_clock_time_millis_testing 59.76510047912598 wall_clock_time_millis_testing 66.29157066345215 wall_clock_time_millis_testing 58.3648681640625 wall_clock_time_millis_testing 60.24026870727539 wall_clock_time_millis_training 879.3766498565674 wall_clock_time_millis_training 924.1311550140381 wall_clock_time_millis_training 884.810209274292 wall_clock_time_millis_training 893.7058448791504 wall_clock_time_millis_training 915.9030914306641 wall_clock_time_millis_training 1383.347511291504 wall_clock_time_millis_training 895.3661918640137 wall_clock_time_millis_training 866.7054176330566 wall_clock_time_millis_training 898.413896560669 wall_clock_time_millis_training 932.2044849395752