10559460 8323 Heinrich Peters 9960 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8259948 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 memory null 17494 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"}}] 17494 verbose false 17494 C 9947.045017657287 17495 cache_size 200 17495 class_weight null 17495 coef0 0.13893166748012198 17495 decision_function_shape "ovr" 17495 degree 2 17495 gamma 9.972833450436674e-05 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22043892 description https://api.openml.org/data/download/22043892/description.xml -1 22043893 predictions https://api.openml.org/data/download/22043893/predictions.arff area_under_roc_curve 0.9375582055217162 [0.920566,0.941035,0.984858,0.955309] average_cost 0 f_measure 0.8124221726372544 [0.815898,0.839674,0.76699,0.752] kappa 0.7154490844677163 kb_relative_information_score 0.641629598183925 mean_absolute_error 0.1501790829009963 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.813966275659824 [0.809977,0.88412,0.722561,0.682809] number_of_instances 5456 [2205,2097,328,826] precision 0.8152609776869798 [0.821905,0.799483,0.817241,0.836795] predictive_accuracy 0.813966275659824 prior_entropy 1.7146330399083418 relative_absolute_error 0.45338703518679146 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.2618951535115672 root_relative_squared_error 0.6435663118835828 total_cost 0 unweighted_recall 0.7748667970634091 [0.809977,0.88412,0.722561,0.682809] area_under_roc_curve 0.9419160326548244 [0.935287,0.941057,0.985114,0.944596] area_under_roc_curve 0.9389793426784195 [0.92039,0.943778,0.981098,0.95984] area_under_roc_curve 0.93371549227531 [0.916076,0.931704,0.979798,0.967238] area_under_roc_curve 0.9426337066457184 [0.929852,0.950014,0.96952,0.947149] area_under_roc_curve 0.9356028533167723 [0.908352,0.947619,0.983756,0.958287] area_under_roc_curve 0.9349279826709629 [0.919548,0.937132,0.987005,0.949413] area_under_roc_curve 0.9308643413865061 [0.911217,0.932822,0.990253,0.955093] area_under_roc_curve 0.9347328943478146 [0.923496,0.927731,0.99403,0.959422] area_under_roc_curve 0.9489546344838721 [0.934948,0.955613,0.987038,0.954407] area_under_roc_curve 0.9352409764978741 [0.909181,0.943979,0.993904,0.959595] 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 0.8136339109489429 [0.821918,0.835214,0.754098,0.76] f_measure 0.796281989842591 [0.806378,0.832579,0.741935,0.697987] f_measure 0.7948234113760789 [0.804651,0.813333,0.794118,0.722222] f_measure 0.8255225173412426 [0.836449,0.857778,0.644068,0.787097] f_measure 0.8212338673615815 [0.807339,0.852608,0.774194,0.797386] f_measure 0.8030746085169438 [0.812785,0.829596,0.818182,0.704225] f_measure 0.7947016031878418 [0.795455,0.822727,0.757576,0.736111] f_measure 0.8180178519638579 [0.82167,0.830986,0.819672,0.775] f_measure 0.8250680705654024 [0.832579,0.861678,0.758621,0.738255] f_measure 0.8300317543077814 [0.81982,0.860412,0.8,0.792208] kappa 0.7168064335563783 kappa 0.6916315392237906 kappa 0.6896742414156826 kappa 0.7369645657588585 kappa 0.7288435840855216 kappa 0.7026052104208418 kappa 0.6884495349531863 kappa 0.7237199870961796 kappa 0.7350770774187209 kappa 0.7408249767393777 kb_relative_information_score 0.6475139390953099 kb_relative_information_score 0.6237923714277139 kb_relative_information_score 0.6387749739969106 kb_relative_information_score 0.6428994252504223 kb_relative_information_score 0.6455908499967979 kb_relative_information_score 0.6327039488605952 kb_relative_information_score 0.6329934711654321 kb_relative_information_score 0.659361865609168 kb_relative_information_score 0.6517360798135767 kb_relative_information_score 0.6409799171155467 mean_absolute_error 0.1473243841950892 mean_absolute_error 0.15468824165765904 mean_absolute_error 0.15133780534001035 mean_absolute_error 0.14820958345647595 mean_absolute_error 0.15025205711548362 mean_absolute_error 0.15297182038820561 mean_absolute_error 0.15277978927933142 mean_absolute_error 0.14600725972497497 mean_absolute_error 0.1453761353070202 mean_absolute_error 0.1528369463168172 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 0.8166641149265805 [0.829493,0.793991,0.821429,0.838235] precision 0.79817162782477 [0.811927,0.793103,0.793103,0.776119] precision 0.8014181986371682 [0.82381,0.7625,0.771429,0.852459] precision 0.8290050405435022 [0.860577,0.804167,0.730769,0.847222] precision 0.8238228322793182 [0.814815,0.813853,0.827586,0.871429] precision 0.8087740927501462 [0.816514,0.783898,0.818182,0.847458] precision 0.7998257530794199 [0.795455,0.786957,0.735294,0.868852] precision 0.8184811197904238 [0.81982,0.815668,0.862069,0.805195] precision 0.8284719742004939 [0.832579,0.818966,0.88,0.820896] precision 0.8351803092844767 [0.816143,0.824561,1,0.847222] predictive_accuracy 0.815018315018315 predictive_accuracy 0.7985347985347986 predictive_accuracy 0.7967032967032966 predictive_accuracy 0.8278388278388279 predictive_accuracy 0.8223443223443223 predictive_accuracy 0.8058608058608059 predictive_accuracy 0.7963302752293577 predictive_accuracy 0.818348623853211 predictive_accuracy 0.8275229357798165 predictive_accuracy 0.8311926605504587 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 relative_absolute_error 0.44489601175357807 relative_absolute_error 0.46713368024354657 relative_absolute_error 0.4566969217622624 relative_absolute_error 0.44725678681653774 relative_absolute_error 0.4534204247175474 relative_absolute_error 0.46162794108653105 relative_absolute_error 0.4614022807501829 relative_absolute_error 0.4409730845705514 relative_absolute_error 0.43895601907143594 relative_absolute_error 0.46148356730339585 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 0.258256634379304 root_mean_squared_error 0.26552318018609716 root_mean_squared_error 0.26533613419782603 root_mean_squared_error 0.25875936430011864 root_mean_squared_error 0.2611310017735185 root_mean_squared_error 0.2673268850936489 root_mean_squared_error 0.2687437101446871 root_mean_squared_error 0.2594642954111197 root_mean_squared_error 0.2534129629569126 root_mean_squared_error 0.26059736164450537 root_relative_squared_error 0.6348068236484979 root_relative_squared_error 0.6526683313444889 root_relative_squared_error 0.6517533336750353 root_relative_squared_error 0.6355986108416628 root_relative_squared_error 0.6414241371471171 root_relative_squared_error 0.6566432765273034 root_relative_squared_error 0.6606301232035209 root_relative_squared_error 0.6378542904532556 root_relative_squared_error 0.622820529640605 root_relative_squared_error 0.6404778386572577 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 unweighted_recall 0.7718809167876599 [0.81448,0.880952,0.69697,0.695122] unweighted_recall 0.7520528729997884 [0.800905,0.87619,0.69697,0.634146] unweighted_recall 0.7756200125176029 [0.786364,0.871429,0.818182,0.626506] unweighted_recall 0.7608453293694257 [0.813636,0.919048,0.575758,0.73494] unweighted_recall 0.789362645386742 [0.8,0.895238,0.727273,0.73494] unweighted_recall 0.7776586866948313 [0.809091,0.880952,0.818182,0.60241] unweighted_recall 0.7692908810566943 [0.795455,0.861905,0.78125,0.638554] unweighted_recall 0.7996643289312612 [0.823529,0.84689,0.78125,0.746988] unweighted_recall 0.7697671171487528 [0.832579,0.909091,0.666667,0.670732] unweighted_recall 0.7834050121390603 [0.823529,0.899522,0.666667,0.743902] usercpu_time_millis 6360.651999999959 usercpu_time_millis 6334.9680000000035 usercpu_time_millis 6262.9939999999915 usercpu_time_millis 6383.913999999948 usercpu_time_millis 6326.183999999956 usercpu_time_millis 6232.323999999949 usercpu_time_millis 6276.732000000038 usercpu_time_millis 6182.663999999932 usercpu_time_millis 6254.764000000023 usercpu_time_millis 6211.8700000000335 usercpu_time_millis_testing 75.43599999996786 usercpu_time_millis_testing 78.21400000000267 usercpu_time_millis_testing 75.6279999999947 usercpu_time_millis_testing 81.34799999999132 usercpu_time_millis_testing 74.18799999999237 usercpu_time_millis_testing 74.7559999999794 usercpu_time_millis_testing 71.99200000002293 usercpu_time_millis_testing 75.36799999996902 usercpu_time_millis_testing 86.78400000002284 usercpu_time_millis_testing 74.28000000004431 usercpu_time_millis_training 6285.215999999991 usercpu_time_millis_training 6256.754000000001 usercpu_time_millis_training 6187.365999999997 usercpu_time_millis_training 6302.565999999956 usercpu_time_millis_training 6251.995999999963 usercpu_time_millis_training 6157.567999999969 usercpu_time_millis_training 6204.740000000015 usercpu_time_millis_training 6107.295999999962 usercpu_time_millis_training 6167.98 usercpu_time_millis_training 6137.589999999989 wall_clock_time_millis 3405.1148891448975 wall_clock_time_millis 3376.6775131225586 wall_clock_time_millis 3421.8411445617676 wall_clock_time_millis 3347.0823764801025 wall_clock_time_millis 3395.685911178589 wall_clock_time_millis 3272.9625701904297 wall_clock_time_millis 3351.686954498291 wall_clock_time_millis 3321.2292194366455 wall_clock_time_millis 3337.1832370758057 wall_clock_time_millis 3311.4123344421387 wall_clock_time_millis_testing 48.422813415527344 wall_clock_time_millis_testing 41.08476638793945 wall_clock_time_millis_testing 41.17393493652344 wall_clock_time_millis_testing 41.71013832092285 wall_clock_time_millis_testing 39.28494453430176 wall_clock_time_millis_testing 39.182186126708984 wall_clock_time_millis_testing 38.97380828857422 wall_clock_time_millis_testing 38.47002983093262 wall_clock_time_millis_testing 45.5021858215332 wall_clock_time_millis_testing 41.39900207519531 wall_clock_time_millis_training 3356.69207572937 wall_clock_time_millis_training 3335.592746734619 wall_clock_time_millis_training 3380.667209625244 wall_clock_time_millis_training 3305.3722381591797 wall_clock_time_millis_training 3356.400966644287 wall_clock_time_millis_training 3233.7803840637207 wall_clock_time_millis_training 3312.713146209717 wall_clock_time_millis_training 3282.759189605713 wall_clock_time_millis_training 3291.6810512542725 wall_clock_time_millis_training 3270.0133323669434 weighted_recall 0.815018315018315 [0.81448,0.880952,0.69697,0.695122] weighted_recall 0.7985347985347986 [0.800905,0.87619,0.69697,0.634146] weighted_recall 0.7967032967032966 [0.786364,0.871429,0.818182,0.626506] weighted_recall 0.8278388278388278 [0.813636,0.919048,0.575758,0.73494] weighted_recall 0.8223443223443223 [0.8,0.895238,0.727273,0.73494] weighted_recall 0.8058608058608059 [0.809091,0.880952,0.818182,0.60241] weighted_recall 0.7963302752293578 [0.795455,0.861905,0.78125,0.638554] weighted_recall 0.818348623853211 [0.823529,0.84689,0.78125,0.746988] weighted_recall 0.8275229357798165 [0.832579,0.909091,0.666667,0.670732] weighted_recall 0.8311926605504587 [0.823529,0.899522,0.666667,0.743902]