10382191 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) 8231671 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 8.027999527330278 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0018226101930636821 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 21686091 description https://api.openml.org/data/download/21686091/description.xml -1 21686092 predictions https://api.openml.org/data/download/21686092/predictions.arff area_under_roc_curve 0.8266340812808192 [0.817976,0.864837,0.908589,0.720217] average_cost 0 f_measure 0.7741847024815569 [0.783501,0.829323,0.821752,0.590446] kappa 0.6629076593240959 kb_relative_information_score 0.6823119712392008 mean_absolute_error 0.10896260997067449 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.7860991883315318 [0.770614,0.778335,0.814371,0.83592] predictive_accuracy 0.7820747800586509 prior_entropy 1.7146330399083418 recall 0.782074780058651 [0.796825,0.887458,0.829268,0.456416] relative_absolute_error 0.3289554958421649 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.3300948499608476 root_relative_squared_error 0.8111563819056488 total_cost 0 area_under_roc_curve 0.8310214731494223 [0.830317,0.865476,0.874889,0.727029] area_under_roc_curve 0.8231245111009177 [0.824887,0.863988,0.857788,0.699774] area_under_roc_curve 0.8237012658988202 [0.814222,0.856548,0.932571,0.722436] area_under_roc_curve 0.8389539618001278 [0.827231,0.883036,0.884193,0.740508] area_under_roc_curve 0.8149209540934036 [0.786043,0.861012,0.931597,0.72846] area_under_roc_curve 0.8212068252492658 [0.809621,0.861905,0.91547,0.711468] area_under_roc_curve 0.8218219771558342 [0.809161,0.861692,0.930677,0.712538] area_under_roc_curve 0.8312561179885741 [0.840777,0.851169,0.950201,0.709905] area_under_roc_curve 0.8368708925904974 [0.834709,0.878653,0.905185,0.708713] area_under_roc_curve 0.8234883917619923 [0.802616,0.864882,0.905185,0.741361] 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 0.7806232838248411 [0.798226,0.830357,0.806452,0.59542] f_measure 0.7683551436081284 [0.792123,0.828508,0.761905,0.552846] f_measure 0.7705139666884189 [0.778281,0.819383,0.84058,0.598425] f_measure 0.7877358680672842 [0.793578,0.849015,0.753623,0.630769] f_measure 0.7601074693376129 [0.744921,0.824834,0.828571,0.609375] f_measure 0.7656381823464147 [0.773034,0.825607,0.8,0.580645] f_measure 0.7693940858768167 [0.773913,0.827273,0.835821,0.585366] f_measure 0.7792859891327044 [0.81069,0.813483,0.90625,0.560606] f_measure 0.7854072011067423 [0.803571,0.844444,0.84375,0.5625] f_measure 0.7743645094403726 [0.76652,0.829932,0.84375,0.625954] kappa 0.6706927120433003 kappa 0.6548600445099206 kappa 0.6580363982691153 kappa 0.6841925871605116 kappa 0.641624890175203 kappa 0.6519625625770878 kappa 0.6556127111784213 kappa 0.6711094463693021 kappa 0.6815758448360408 kappa 0.6593803221824659 kb_relative_information_score 0.6852333846076526 kb_relative_information_score 0.6671860870603935 kb_relative_information_score 0.6817294903893013 kb_relative_information_score 0.6978871530808993 kb_relative_information_score 0.6695446527683282 kb_relative_information_score 0.6732115265699485 kb_relative_information_score 0.6782973146975796 kb_relative_information_score 0.6924890813435901 kb_relative_information_score 0.6952595288474173 kb_relative_information_score 0.6823291665334902 mean_absolute_error 0.10622710622710622 mean_absolute_error 0.1108058608058608 mean_absolute_error 0.1108058608058608 mean_absolute_error 0.10256410256410256 mean_absolute_error 0.1163003663003663 mean_absolute_error 0.11263736263736264 mean_absolute_error 0.11100917431192661 mean_absolute_error 0.10642201834862386 mean_absolute_error 0.10275229357798166 mean_absolute_error 0.11009174311926606 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 0.7889885545466518 [0.782609,0.781513,0.862069,0.795918] precision 0.7826496795878399 [0.766949,0.778243,0.8,0.829268] precision 0.7853435332943529 [0.774775,0.762295,0.805556,0.863636] precision 0.8010633033173016 [0.800926,0.785425,0.722222,0.87234] precision 0.7740900294014188 [0.73991,0.771784,0.783784,0.866667] precision 0.7832119739978819 [0.764444,0.769547,0.756757,0.878049] precision 0.7883313389176971 [0.741667,0.791304,0.8,0.9] precision 0.786014904533698 [0.798246,0.766949,0.90625,0.755102] precision 0.7943668321258954 [0.792952,0.788382,0.870968,0.782609] precision 0.7839459919485539 [0.746781,0.788793,0.870968,0.836735] predictive_accuracy 0.7875457875457876 predictive_accuracy 0.7783882783882784 predictive_accuracy 0.7783882783882784 predictive_accuracy 0.7948717948717949 predictive_accuracy 0.7673992673992674 predictive_accuracy 0.7747252747252747 predictive_accuracy 0.7779816513761467 predictive_accuracy 0.7871559633027523 predictive_accuracy 0.7944954128440367 predictive_accuracy 0.7798165137614679 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 0.7875457875457875 [0.81448,0.885714,0.757576,0.47561] recall 0.7783882783882784 [0.819005,0.885714,0.727273,0.414634] recall 0.7783882783882784 [0.781818,0.885714,0.878788,0.457831] recall 0.7948717948717948 [0.786364,0.92381,0.787879,0.493976] recall 0.7673992673992674 [0.75,0.885714,0.878788,0.46988] recall 0.7747252747252747 [0.781818,0.890476,0.848485,0.433735] recall 0.7779816513761468 [0.809091,0.866667,0.875,0.433735] recall 0.7871559633027523 [0.823529,0.866029,0.90625,0.445783] recall 0.7944954128440367 [0.81448,0.909091,0.818182,0.439024] recall 0.7798165137614679 [0.78733,0.875598,0.818182,0.5] relative_absolute_error 0.3207888236476916 relative_absolute_error 0.3346159281152646 relative_absolute_error 0.3343823800639958 relative_absolute_error 0.3095109633650209 relative_absolute_error 0.3509633245299791 relative_absolute_error 0.3399093615526569 relative_absolute_error 0.33525302301648585 relative_absolute_error 0.32141720751292957 relative_absolute_error 0.31025544628900475 relative_absolute_error 0.33241654959536227 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 0.3259250009236883 root_mean_squared_error 0.3328751429678413 root_mean_squared_error 0.3328751429678413 root_mean_squared_error 0.32025630761017426 root_mean_squared_error 0.34102839515261235 root_mean_squared_error 0.33561490228737256 root_mean_squared_error 0.3331803930484605 root_mean_squared_error 0.3262238776494202 root_mean_squared_error 0.3205499860832654 root_mean_squared_error 0.3318007581655986 root_relative_squared_error 0.8011388171353815 root_relative_squared_error 0.818222589660949 root_relative_squared_error 0.8176514849089186 root_relative_squared_error 0.7866554502515202 root_relative_squared_error 0.8376785698281399 root_relative_squared_error 0.8243812402638391 root_relative_squared_error 0.8190294165028046 root_relative_squared_error 0.801972771156331 root_relative_squared_error 0.787825175867634 root_relative_squared_error 0.8154765309736313 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 1817.3335630000338 usercpu_time_millis 1353.339296999934 usercpu_time_millis 1248.241172999883 usercpu_time_millis 1273.767375000034 usercpu_time_millis 1247.3817100000133 usercpu_time_millis 1236.115972000107 usercpu_time_millis 1218.0731880000621 usercpu_time_millis 1233.643311000037 usercpu_time_millis 1466.555013000061 usercpu_time_millis 1802.745515999959 usercpu_time_millis_testing 159.6904650000397 usercpu_time_millis_testing 99.85676599990256 usercpu_time_millis_testing 102.1906339999532 usercpu_time_millis_testing 100.37255700001424 usercpu_time_millis_testing 100.68769499991959 usercpu_time_millis_testing 100.33579500009182 usercpu_time_millis_testing 100.41818400009106 usercpu_time_millis_testing 100.30541000003268 usercpu_time_millis_testing 161.8644470000845 usercpu_time_millis_testing 158.90754899999138 usercpu_time_millis_training 1657.643097999994 usercpu_time_millis_training 1253.4825310000315 usercpu_time_millis_training 1146.0505389999298 usercpu_time_millis_training 1173.3948180000198 usercpu_time_millis_training 1146.6940150000937 usercpu_time_millis_training 1135.780177000015 usercpu_time_millis_training 1117.655003999971 usercpu_time_millis_training 1133.3379010000044 usercpu_time_millis_training 1304.6905659999766 usercpu_time_millis_training 1643.8379669999676 wall_clock_time_millis 1817.7649974822998 wall_clock_time_millis 1353.3985614776611 wall_clock_time_millis 1248.2831478118896 wall_clock_time_millis 1273.794412612915 wall_clock_time_millis 1247.4303245544434 wall_clock_time_millis 1236.1574172973633 wall_clock_time_millis 1218.108892440796 wall_clock_time_millis 1233.6790561676025 wall_clock_time_millis 1466.6006565093994 wall_clock_time_millis 1802.8264045715332 wall_clock_time_millis_testing 159.71994400024414 wall_clock_time_millis_testing 99.86448287963867 wall_clock_time_millis_testing 102.19907760620117 wall_clock_time_millis_testing 100.38042068481445 wall_clock_time_millis_testing 100.69394111633301 wall_clock_time_millis_testing 100.34489631652832 wall_clock_time_millis_testing 100.42738914489746 wall_clock_time_millis_testing 100.31342506408691 wall_clock_time_millis_testing 161.87667846679688 wall_clock_time_millis_testing 158.91790390014648 wall_clock_time_millis_training 1658.0450534820557 wall_clock_time_millis_training 1253.5340785980225 wall_clock_time_millis_training 1146.0840702056885 wall_clock_time_millis_training 1173.4139919281006 wall_clock_time_millis_training 1146.7363834381104 wall_clock_time_millis_training 1135.812520980835 wall_clock_time_millis_training 1117.6815032958984 wall_clock_time_millis_training 1133.3656311035156 wall_clock_time_millis_training 1304.7239780426025 wall_clock_time_millis_training 1643.9085006713867