10383271 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) 8231902 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 4253.0644532427295 13389 cache_size 200 13389 class_weight null 13389 coef0 -0.41160062993685353 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.31874006233599195 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 21688251 description https://api.openml.org/data/download/21688251/description.xml -1 21688252 predictions https://api.openml.org/data/download/21688252/predictions.arff area_under_roc_curve 0.9098235098022974 [0.904705,0.922711,0.870684,0.906311] average_cost 0 f_measure 0.885488765079584 [0.887259,0.898815,0.834188,0.867302] kappa 0.8262486677021462 kb_relative_information_score 0.8307085397068684 mean_absolute_error 0.05690982404692082 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.8883586690015247 [0.896711,0.860759,0.949416,0.911883] predictive_accuracy 0.8861803519061584 prior_entropy 1.7146330399083418 recall 0.8861803519061584 [0.878005,0.940391,0.743902,0.826877] relative_absolute_error 0.17180938849283803 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.23855780022233777 root_relative_squared_error 0.5862184221494942 total_cost 0 area_under_roc_curve 0.903596848553745 [0.902986,0.91756,0.848485,0.891663] area_under_roc_curve 0.9184343660137673 [0.913303,0.938988,0.84751,0.908169] area_under_roc_curve 0.9114483271570296 [0.906372,0.919345,0.875864,0.919072] area_under_roc_curve 0.921948598003022 [0.920859,0.927381,0.906167,0.917367] area_under_roc_curve 0.9008348153357197 [0.890463,0.918155,0.878788,0.893271] area_under_roc_curve 0.9163065377206283 [0.917052,0.92619,0.924242,0.886167] area_under_roc_curve 0.9058063974953213 [0.91,0.907605,0.856451,0.909169] area_under_roc_curve 0.903579445246112 [0.893756,0.916553,0.84375,0.920135] area_under_roc_curve 0.913223634817548 [0.905683,0.932018,0.877811,0.899897] area_under_roc_curve 0.9030429276967367 [0.886654,0.923352,0.846532,0.91819] 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 0.8763406135985119 [0.887324,0.889381,0.821429,0.835443] f_measure 0.8962011177912337 [0.896396,0.91954,0.807018,0.871795] f_measure 0.8860038205101872 [0.888383,0.897674,0.819672,0.876543] f_measure 0.9008509476657425 [0.906178,0.905747,0.857143,0.89172] f_measure 0.8765934172637672 [0.87037,0.890869,0.862069,0.862745] f_measure 0.8950442674981897 [0.901602,0.902494,0.918033,0.849673] f_measure 0.8801295280659761 [0.891892,0.883721,0.793103,0.873418] f_measure 0.8780224528662101 [0.875878,0.888393,0.814815,0.881988] f_measure 0.8890789097959998 [0.888383,0.910345,0.847458,0.853503] f_measure 0.8760837118444477 [0.865604,0.900693,0.793103,0.875] kappa 0.8124 kappa 0.8429769467397278 kappa 0.8275101271305189 kappa 0.849566823474188 kappa 0.8120636421081834 kappa 0.8405079638398623 kappa 0.8178550861749826 kappa 0.8149405772495756 kappa 0.8319673184142237 kappa 0.8125609568297315 kb_relative_information_score 0.8148748672437685 kb_relative_information_score 0.8409308845097939 kb_relative_information_score 0.8342202298868042 kb_relative_information_score 0.8553534027294929 kb_relative_information_score 0.8186175227242866 kb_relative_information_score 0.8462276790117849 kb_relative_information_score 0.8226353329100875 kb_relative_information_score 0.8203946558428001 kb_relative_information_score 0.8353756072425851 kb_relative_information_score 0.8183434667069026 mean_absolute_error 0.06135531135531135 mean_absolute_error 0.05128205128205128 mean_absolute_error 0.056776556776556776 mean_absolute_error 0.04945054945054945 mean_absolute_error 0.06135531135531135 mean_absolute_error 0.0521978021978022 mean_absolute_error 0.05963302752293578 mean_absolute_error 0.060550458715596334 mean_absolute_error 0.05504587155963303 mean_absolute_error 0.061467889908256884 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 0.8834857755151838 [0.921951,0.830579,1,0.868421] precision 0.8990078107230574 [0.892377,0.888889,0.958333,0.918919] precision 0.886770890310116 [0.890411,0.877273,0.892857,0.898734] precision 0.902596167342711 [0.912442,0.875556,0.9,0.945946] precision 0.8829371795842604 [0.886792,0.83682,1,0.942857] precision 0.898725314623932 [0.907834,0.861472,1,0.928571] precision 0.8816433291479163 [0.883929,0.863636,0.884615,0.92] precision 0.8847499218490698 [0.907767,0.832636,1,0.910256] precision 0.8913280431062388 [0.894495,0.876106,0.961538,0.893333] precision 0.8779933702285145 [0.87156,0.870536,0.92,0.897436] predictive_accuracy 0.8772893772893773 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.8864468864468864 predictive_accuracy 0.9010989010989011 predictive_accuracy 0.8772893772893773 predictive_accuracy 0.8956043956043956 predictive_accuracy 0.8807339449541284 predictive_accuracy 0.8788990825688073 predictive_accuracy 0.889908256880734 predictive_accuracy 0.8770642201834862 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 0.8772893772893773 [0.855204,0.957143,0.69697,0.804878] recall 0.8974358974358975 [0.900452,0.952381,0.69697,0.829268] recall 0.8864468864468864 [0.886364,0.919048,0.757576,0.855422] recall 0.9010989010989011 [0.9,0.938095,0.818182,0.843373] recall 0.8772893772893773 [0.854545,0.952381,0.757576,0.795181] recall 0.8956043956043956 [0.895455,0.947619,0.848485,0.783133] recall 0.8807339449541285 [0.9,0.904762,0.71875,0.831325] recall 0.8788990825688073 [0.846154,0.952153,0.6875,0.855422] recall 0.8899082568807339 [0.882353,0.947368,0.757576,0.817073] recall 0.8770642201834863 [0.859729,0.933014,0.69697,0.853659] relative_absolute_error 0.18528319986547703 relative_absolute_error 0.15486357003681664 relative_absolute_error 0.1713364261484937 relative_absolute_error 0.14922850019384937 relative_absolute_error 0.18515387987014642 relative_absolute_error 0.157518972426841 relative_absolute_error 0.18009459914108747 relative_absolute_error 0.18287530772287372 relative_absolute_error 0.16620827479768113 relative_absolute_error 0.18559924019074392 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 0.24770004310720528 root_mean_squared_error 0.22645540682891915 root_mean_squared_error 0.23827831789014453 root_mean_squared_error 0.22237479499833035 root_mean_squared_error 0.24770004310720528 root_mean_squared_error 0.22846838336584385 root_mean_squared_error 0.24419874594873697 root_mean_squared_error 0.24607002807249065 root_mean_squared_error 0.2346185661017325 root_mean_squared_error 0.24792718670661532 root_relative_squared_error 0.6088582311172638 root_relative_squared_error 0.5566379266600352 root_relative_squared_error 0.5852903845791159 root_relative_squared_error 0.546226070578863 root_relative_squared_error 0.6084332589477128 root_relative_squared_error 0.5611939397105105 root_relative_squared_error 0.6002932962985615 root_relative_squared_error 0.6049264809606809 root_relative_squared_error 0.5766289849499363 root_relative_squared_error 0.6093379751973228 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 3121.8704239997805 usercpu_time_millis 2594.87306799997 usercpu_time_millis 2627.852816000086 usercpu_time_millis 2917.6428309999665 usercpu_time_millis 3031.0974719998285 usercpu_time_millis 3848.678467999889 usercpu_time_millis 3849.815330999945 usercpu_time_millis 4170.049315999904 usercpu_time_millis 3284.766910999906 usercpu_time_millis 2995.6261750000976 usercpu_time_millis_testing 114.52235399997335 usercpu_time_millis_testing 108.61256600014713 usercpu_time_millis_testing 109.65046899991648 usercpu_time_millis_testing 109.23231199990369 usercpu_time_millis_testing 175.50390499991408 usercpu_time_millis_testing 173.83590399981586 usercpu_time_millis_testing 169.70818400000098 usercpu_time_millis_testing 175.6364630000462 usercpu_time_millis_testing 108.71573899999021 usercpu_time_millis_testing 119.02769600010288 usercpu_time_millis_training 3007.348069999807 usercpu_time_millis_training 2486.2605019998227 usercpu_time_millis_training 2518.2023470001695 usercpu_time_millis_training 2808.410519000063 usercpu_time_millis_training 2855.5935669999144 usercpu_time_millis_training 3674.8425640000733 usercpu_time_millis_training 3680.1071469999442 usercpu_time_millis_training 3994.412852999858 usercpu_time_millis_training 3176.051171999916 usercpu_time_millis_training 2876.5984789999948 wall_clock_time_millis 3122.495412826538 wall_clock_time_millis 2595.449924468994 wall_clock_time_millis 2628.1566619873047 wall_clock_time_millis 2918.048620223999 wall_clock_time_millis 3031.661033630371 wall_clock_time_millis 3848.832368850708 wall_clock_time_millis 3849.9765396118164 wall_clock_time_millis 4170.128345489502 wall_clock_time_millis 3284.8305702209473 wall_clock_time_millis 2995.70631980896 wall_clock_time_millis_testing 114.54391479492188 wall_clock_time_millis_testing 108.62016677856445 wall_clock_time_millis_testing 109.65847969055176 wall_clock_time_millis_testing 109.24053192138672 wall_clock_time_millis_testing 175.5352020263672 wall_clock_time_millis_testing 173.86484146118164 wall_clock_time_millis_testing 169.71898078918457 wall_clock_time_millis_testing 175.64892768859863 wall_clock_time_millis_testing 108.72244834899902 wall_clock_time_millis_testing 119.03500556945801 wall_clock_time_millis_training 3007.951498031616 wall_clock_time_millis_training 2486.8297576904297 wall_clock_time_millis_training 2518.498182296753 wall_clock_time_millis_training 2808.8080883026123 wall_clock_time_millis_training 2856.125831604004 wall_clock_time_millis_training 3674.9675273895264 wall_clock_time_millis_training 3680.257558822632 wall_clock_time_millis_training 3994.4794178009033 wall_clock_time_millis_training 3176.1081218719482 wall_clock_time_millis_training 2876.671314239502