10382310 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) 8231675 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 0.6924057373577415 13389 cache_size 200 13389 class_weight null 13389 coef0 0.46594279667222027 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.027501589087229522 13389 kernel "poly" 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 21686329 description https://api.openml.org/data/download/21686329/description.xml -1 21686330 predictions https://api.openml.org/data/download/21686330/predictions.arff area_under_roc_curve 0.8858906981696734 [0.869887,0.915099,0.938989,0.833373] average_cost 0 f_measure 0.8543222518980781 [0.843964,0.893968,0.913112,0.757979] kappa 0.7792587778502801 kb_relative_information_score 0.7929406628570262 mean_absolute_error 0.07221407624633432 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.8560441426179222 [0.822012,0.883558,0.947541,0.840708] predictive_accuracy 0.8555718475073314 prior_entropy 1.7146330399083418 recall 0.8555718475073314 [0.86712,0.904626,0.881098,0.690073] relative_absolute_error 0.21801255737899577 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.26872676875654633 root_relative_squared_error 0.660353936123543 total_cost 0 area_under_roc_curve 0.8841685299307804 [0.867692,0.912202,0.937445,0.83534] area_under_roc_curve 0.8834029619805481 [0.866787,0.925,0.863636,0.82961] area_under_roc_curve 0.8785252975693492 [0.851548,0.913095,0.919369,0.846327] area_under_roc_curve 0.8934133474958795 [0.8849,0.925595,0.908116,0.82871] area_under_roc_curve 0.8840982449943144 [0.861322,0.922321,0.952596,0.820526] area_under_roc_curve 0.8857306752883082 [0.878026,0.908333,0.984848,0.809558] area_under_roc_curve 0.8711819936486079 [0.858566,0.893355,0.963877,0.812784] area_under_roc_curve 0.8990674286726918 [0.883254,0.911013,0.95215,0.890627] area_under_roc_curve 0.8934460243180546 [0.878729,0.918511,0.954545,0.844637] area_under_roc_curve 0.8859040086316905 [0.868031,0.921544,0.954545,0.815611] 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 0.8489654593781016 [0.842342,0.88993,0.90625,0.738854] f_measure 0.8514669177814246 [0.840708,0.903226,0.842105,0.751678] f_measure 0.8414514605107452 [0.822727,0.890443,0.848485,0.764331] f_measure 0.8642461270298092 [0.860927,0.904872,0.885246,0.761905] f_measure 0.8515712182446064 [0.833703,0.901869,0.923077,0.743243] f_measure 0.8547146606408994 [0.852747,0.885246,0.984615,0.731034] f_measure 0.8368575457162248 [0.829787,0.871046,0.895522,0.746479] f_measure 0.8718220049656699 [0.859649,0.892683,0.935484,0.82716] f_measure 0.8637185772040726 [0.854626,0.899522,0.952381,0.76129] f_measure 0.8565071270520771 [0.842105,0.899767,0.952381,0.746479] kappa 0.7716762711000053 kappa 0.774542038515735 kappa 0.7610320873304665 kappa 0.7947685495082643 kappa 0.7760746417860714 kappa 0.7812005507490597 kappa 0.752525825859916 kappa 0.8049231964983329 kappa 0.7930468248877487 kappa 0.7827898550724638 kb_relative_information_score 0.7872956489768508 kb_relative_information_score 0.7787543194469311 kb_relative_information_score 0.7776145917610213 kb_relative_information_score 0.8001229867606707 kb_relative_information_score 0.7904440934949862 kb_relative_information_score 0.7972434089962919 kb_relative_information_score 0.7718395261567048 kb_relative_information_score 0.8229381160595254 kb_relative_information_score 0.8077462629086096 kb_relative_information_score 0.7954702181104341 mean_absolute_error 0.07509157509157509 mean_absolute_error 0.07326007326007326 mean_absolute_error 0.07875457875457875 mean_absolute_error 0.06684981684981685 mean_absolute_error 0.07326007326007326 mean_absolute_error 0.07142857142857142 mean_absolute_error 0.08073394495412844 mean_absolute_error 0.06422018348623854 mean_absolute_error 0.06788990825688074 mean_absolute_error 0.07064220183486239 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 0.8488610600226397 [0.838565,0.875576,0.935484,0.773333] precision 0.8554252842632374 [0.822511,0.875,1,0.835821] precision 0.8414798209318757 [0.822727,0.872146,0.848485,0.810811] precision 0.8678767726965332 [0.83691,0.882353,0.964286,0.875] precision 0.8537240283352543 [0.813853,0.885321,0.9375,0.846154] precision 0.8580070695719288 [0.825532,0.870968,1,0.854839] precision 0.8451427868543194 [0.78,0.890547,0.857143,0.898305] precision 0.873271054571552 [0.834043,0.910448,0.966667,0.848101] precision 0.8647386354013337 [0.832618,0.899522,1,0.808219] precision 0.8611835513045742 [0.817021,0.877273,1,0.883333] predictive_accuracy 0.8498168498168498 predictive_accuracy 0.8534798534798534 predictive_accuracy 0.8424908424908425 predictive_accuracy 0.8663003663003663 predictive_accuracy 0.8534798534798534 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.8385321100917431 predictive_accuracy 0.8715596330275229 predictive_accuracy 0.8642201834862385 predictive_accuracy 0.8587155963302752 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 0.8498168498168498 [0.846154,0.904762,0.878788,0.707317] recall 0.8534798534798534 [0.859729,0.933333,0.727273,0.682927] recall 0.8424908424908425 [0.822727,0.909524,0.848485,0.722892] recall 0.8663003663003663 [0.886364,0.928571,0.818182,0.674699] recall 0.8534798534798534 [0.854545,0.919048,0.909091,0.662651] recall 0.8571428571428571 [0.881818,0.9,0.969697,0.638554] recall 0.8385321100917431 [0.886364,0.852381,0.9375,0.638554] recall 0.8715596330275229 [0.886878,0.875598,0.90625,0.807229] recall 0.8642201834862385 [0.877828,0.899522,0.909091,0.719512] recall 0.8587155963302753 [0.868778,0.923445,0.909091,0.646341] relative_absolute_error 0.2267645132681958 relative_absolute_error 0.22123367148116668 relative_absolute_error 0.23766020401242674 relative_absolute_error 0.2017348243361297 relative_absolute_error 0.2210792595464435 relative_absolute_error 0.21555227805778238 relative_absolute_error 0.24382038037562612 relative_absolute_error 0.19395865970607817 relative_absolute_error 0.2049902055838067 relative_absolute_error 0.21330061932369077 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 0.2740284202260326 root_mean_squared_error 0.2706659809803834 root_mean_squared_error 0.2806324620470318 root_mean_squared_error 0.2585533152945768 root_mean_squared_error 0.2706659809803834 root_mean_squared_error 0.2672612419124244 root_mean_squared_error 0.2841371938943025 root_mean_squared_error 0.2534170149895988 root_mean_squared_error 0.2605569194185423 root_mean_squared_error 0.2657860075979591 root_relative_squared_error 0.6735746071003698 root_relative_squared_error 0.6653095749846539 root_relative_squared_error 0.6893261757564431 root_relative_squared_error 0.6350924863114765 root_relative_squared_error 0.6648452007854493 root_relative_squared_error 0.6564820351557674 root_relative_squared_error 0.6984706332588623 root_relative_squared_error 0.6229879530393573 root_relative_squared_error 0.6403784426030849 root_relative_squared_error 0.6532301271871745 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 1002.1467410000469 usercpu_time_millis 728.3553419999862 usercpu_time_millis 683.0375680000316 usercpu_time_millis 674.9672839999903 usercpu_time_millis 651.5845719999334 usercpu_time_millis 651.1346640000966 usercpu_time_millis 662.5927600000523 usercpu_time_millis 672.3613100000421 usercpu_time_millis 941.3634589999447 usercpu_time_millis 838.2951109999794 usercpu_time_millis_testing 79.70015800003694 usercpu_time_millis_testing 48.79135099997711 usercpu_time_millis_testing 65.14581700002964 usercpu_time_millis_testing 49.70345200001702 usercpu_time_millis_testing 48.68541500002266 usercpu_time_millis_testing 60.44111100004557 usercpu_time_millis_testing 49.9175559999685 usercpu_time_millis_testing 50.578314000063074 usercpu_time_millis_testing 72.1066300000075 usercpu_time_millis_testing 49.06083699995634 usercpu_time_millis_training 922.4465830000099 usercpu_time_millis_training 679.5639910000091 usercpu_time_millis_training 617.8917510000019 usercpu_time_millis_training 625.2638319999733 usercpu_time_millis_training 602.8991569999107 usercpu_time_millis_training 590.693553000051 usercpu_time_millis_training 612.6752040000838 usercpu_time_millis_training 621.782995999979 usercpu_time_millis_training 869.2568289999372 usercpu_time_millis_training 789.2342740000231 wall_clock_time_millis 1002.1834373474121 wall_clock_time_millis 728.4114360809326 wall_clock_time_millis 683.222770690918 wall_clock_time_millis 676.7096519470215 wall_clock_time_millis 651.6029834747314 wall_clock_time_millis 651.3381004333496 wall_clock_time_millis 662.6284122467041 wall_clock_time_millis 672.4023818969727 wall_clock_time_millis 945.5842971801758 wall_clock_time_millis 838.9737606048584 wall_clock_time_millis_testing 79.70881462097168 wall_clock_time_millis_testing 48.799753189086914 wall_clock_time_millis_testing 65.32001495361328 wall_clock_time_millis_testing 49.70884323120117 wall_clock_time_millis_testing 48.69198799133301 wall_clock_time_millis_testing 60.448646545410156 wall_clock_time_millis_testing 49.9265193939209 wall_clock_time_millis_testing 50.58765411376953 wall_clock_time_millis_testing 72.11422920227051 wall_clock_time_millis_testing 49.067020416259766 wall_clock_time_millis_training 922.4746227264404 wall_clock_time_millis_training 679.6116828918457 wall_clock_time_millis_training 617.9027557373047 wall_clock_time_millis_training 627.0008087158203 wall_clock_time_millis_training 602.9109954833984 wall_clock_time_millis_training 590.8894538879395 wall_clock_time_millis_training 612.7018928527832 wall_clock_time_millis_training 621.8147277832031 wall_clock_time_millis_training 873.4700679779053 wall_clock_time_millis_training 789.9067401885986