10383344 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) 8231945 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 12.383653966672204 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.7815414630792017 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 21688397 description https://api.openml.org/data/download/21688397/description.xml -1 21688398 predictions https://api.openml.org/data/download/21688398/predictions.arff area_under_roc_curve 0.8665917927106673 [0.871346,0.876657,0.805817,0.852479] average_cost 0 f_measure 0.8322009200740664 [0.848746,0.83938,0.751402,0.801893] kappa 0.7434333505446422 kb_relative_information_score 0.7493938593248022 mean_absolute_error 0.08321114369501466 mean_prior_absolute_error 0.3312381502905654 number_of_instances 5456 [2205,2097,328,826] precision 0.84897191317401 [0.89697,0.756116,0.971014,0.908116] predictive_accuracy 0.8335777126099707 prior_entropy 1.7146330399083418 recall 0.8335777126099707 [0.805442,0.943252,0.612805,0.717918] relative_absolute_error 0.25121243921336056 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.28846341829600275 root_relative_squared_error 0.7088536604702395 total_cost 0 area_under_roc_curve 0.8669532335480612 [0.876018,0.880357,0.80303,0.83392] area_under_roc_curve 0.8780445560186939 [0.879548,0.893155,0.787879,0.871583] area_under_roc_curve 0.8768530353680382 [0.879894,0.887202,0.80303,0.871959] area_under_roc_curve 0.8700982517044193 [0.874554,0.883631,0.771753,0.86315] area_under_roc_curve 0.8611557197247183 [0.859439,0.878869,0.848485,0.825926] area_under_roc_curve 0.8702315646474837 [0.889152,0.865476,0.863636,0.834734] area_under_roc_curve 0.8562964663278883 [0.869091,0.861016,0.810551,0.828079] area_under_roc_curve 0.8595077761744429 [0.862186,0.866541,0.75,0.876884] area_under_roc_curve 0.872118470849713 [0.870922,0.887054,0.817205,0.859374] area_under_roc_curve 0.8546075168153213 [0.852718,0.863188,0.801077,0.859374] 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 0.8316617165036494 [0.856436,0.840816,0.754717,0.772414] f_measure 0.8459892089282779 [0.859189,0.857749,0.730769,0.826667] f_measure 0.84472057724 [0.858491,0.852814,0.754717,0.823529] f_measure 0.8364947128175397 [0.851765,0.847966,0.692308,0.824324] f_measure 0.8259814324384112 [0.833735,0.841004,0.821429,0.769231] f_measure 0.8372900122198007 [0.871671,0.827004,0.842105,0.77027] f_measure 0.820562918544253 [0.84507,0.823028,0.740741,0.780142] f_measure 0.8218536467925949 [0.838235,0.826722,0.666667,0.825806] f_measure 0.8388057763851443 [0.847775,0.852174,0.763636,0.810811] f_measure 0.8171596639755919 [0.825472,0.825054,0.727273,0.810811] kappa 0.7426222629722297 kappa 0.7656106959062815 kappa 0.7633998122220732 kappa 0.7510775862068965 kappa 0.7343437009891457 kappa 0.7495529018858007 kappa 0.7243700370704443 kappa 0.7286025521319639 kappa 0.7542016153279903 kappa 0.7203505789424582 kb_relative_information_score 0.7459510878841212 kb_relative_information_score 0.7669804482186671 kb_relative_information_score 0.7672337257116268 kb_relative_information_score 0.7521037292651311 kb_relative_information_score 0.7443759437967189 kb_relative_information_score 0.7593615223378609 kb_relative_information_score 0.7319685893242898 kb_relative_information_score 0.7340963688381943 kb_relative_information_score 0.7602382355902523 kb_relative_information_score 0.731486546724842 mean_absolute_error 0.08333333333333333 mean_absolute_error 0.076007326007326 mean_absolute_error 0.07692307692307693 mean_absolute_error 0.08058608058608059 mean_absolute_error 0.08608058608058608 mean_absolute_error 0.0815018315018315 mean_absolute_error 0.0889908256880734 mean_absolute_error 0.08807339449541285 mean_absolute_error 0.0798165137614679 mean_absolute_error 0.0908256880733945 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 0.8595464947923964 [0.945355,0.735714,1,0.888889] precision 0.8630083011421754 [0.909091,0.773946,1,0.911765] precision 0.8574014221073044 [0.892157,0.781746,1,0.9] precision 0.8519949657409368 [0.882927,0.770428,0.947368,0.938462] precision 0.8457194514886822 [0.887179,0.75,1,0.916667] precision 0.8550825154651379 [0.932642,0.742424,1,0.876923] precision 0.8376464253905643 [0.873786,0.745174,0.909091,0.948276] precision 0.846119914743768 [0.914439,0.733333,1,0.888889] precision 0.8503270705448367 [0.878641,0.780876,0.954545,0.909091] precision 0.8297690151332101 [0.862069,0.751969,0.909091,0.909091] predictive_accuracy 0.8333333333333333 predictive_accuracy 0.8479853479853481 predictive_accuracy 0.8461538461538461 predictive_accuracy 0.8388278388278388 predictive_accuracy 0.8278388278388279 predictive_accuracy 0.8369963369963369 predictive_accuracy 0.8220183486238533 predictive_accuracy 0.8238532110091744 predictive_accuracy 0.8403669724770643 predictive_accuracy 0.818348623853211 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 0.8333333333333334 [0.782805,0.980952,0.606061,0.682927] recall 0.847985347985348 [0.81448,0.961905,0.575758,0.756098] recall 0.8461538461538461 [0.827273,0.938095,0.606061,0.759036] recall 0.8388278388278388 [0.822727,0.942857,0.545455,0.73494] recall 0.8278388278388278 [0.786364,0.957143,0.69697,0.662651] recall 0.836996336996337 [0.818182,0.933333,0.727273,0.686747] recall 0.8220183486238533 [0.818182,0.919048,0.625,0.662651] recall 0.8238532110091743 [0.773756,0.947368,0.5,0.771084] recall 0.8403669724770643 [0.819005,0.937799,0.636364,0.731707] recall 0.818348623853211 [0.791855,0.913876,0.606061,0.731707] relative_absolute_error 0.25165330130982705 relative_absolute_error 0.2295299341617104 relative_absolute_error 0.23213322252376567 relative_absolute_error 0.24318718550108784 relative_absolute_error 0.2597681299670711 relative_absolute_error 0.24595067624541836 relative_absolute_error 0.2687565556413151 relative_absolute_error 0.2660004475969072 relative_absolute_error 0.24100199845663764 relative_absolute_error 0.27424365341617385 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 0.28867513459481287 root_mean_squared_error 0.2756942618324255 root_mean_squared_error 0.2773500981126146 root_mean_squared_error 0.28387687575088005 root_mean_squared_error 0.29339493192723365 root_mean_squared_error 0.2854852561899327 root_mean_squared_error 0.29831330122552935 root_mean_squared_error 0.29677162009769875 root_mean_squared_error 0.2825181653654644 root_mean_squared_error 0.30137300488496727 root_relative_squared_error 0.7095769125113371 root_relative_squared_error 0.6776693232783195 root_relative_squared_error 0.6812636039433022 root_relative_squared_error 0.6972955292472401 root_relative_squared_error 0.7206750243235482 root_relative_squared_error 0.701246243748073 root_relative_squared_error 0.7333185689658326 root_relative_squared_error 0.7295687865805993 root_relative_squared_error 0.6943532459147658 root_relative_squared_error 0.7406933423281526 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 5221.205595999891 usercpu_time_millis 5211.17612099988 usercpu_time_millis 5176.235969999652 usercpu_time_millis 3994.9538999999277 usercpu_time_millis 3452.2047860000384 usercpu_time_millis 4251.679345999946 usercpu_time_millis 3697.878058000242 usercpu_time_millis 4033.7897670005987 usercpu_time_millis 3458.3297630001653 usercpu_time_millis 4827.082080999844 usercpu_time_millis_testing 204.40832099984618 usercpu_time_millis_testing 198.21597500003918 usercpu_time_millis_testing 206.42608199977985 usercpu_time_millis_testing 126.74793399992268 usercpu_time_millis_testing 126.19017299994084 usercpu_time_millis_testing 173.36873800013564 usercpu_time_millis_testing 127.03398500025287 usercpu_time_millis_testing 207.26010600037625 usercpu_time_millis_testing 203.33796700015228 usercpu_time_millis_testing 201.50485300018772 usercpu_time_millis_training 5016.7972750000445 usercpu_time_millis_training 5012.960145999841 usercpu_time_millis_training 4969.809887999872 usercpu_time_millis_training 3868.205966000005 usercpu_time_millis_training 3326.0146130000976 usercpu_time_millis_training 4078.3106079998106 usercpu_time_millis_training 3570.8440729999893 usercpu_time_millis_training 3826.5296610002224 usercpu_time_millis_training 3254.991796000013 usercpu_time_millis_training 4625.577227999656 wall_clock_time_millis 5221.419095993042 wall_clock_time_millis 5212.8260135650635 wall_clock_time_millis 5178.76410484314 wall_clock_time_millis 3995.145082473755 wall_clock_time_millis 3452.3167610168457 wall_clock_time_millis 4251.843214035034 wall_clock_time_millis 3697.9730129241943 wall_clock_time_millis 4033.975124359131 wall_clock_time_millis 3458.4736824035645 wall_clock_time_millis 4827.279806137085 wall_clock_time_millis_testing 204.4227123260498 wall_clock_time_millis_testing 198.2250213623047 wall_clock_time_millis_testing 206.6519260406494 wall_clock_time_millis_testing 126.75619125366211 wall_clock_time_millis_testing 126.19853019714355 wall_clock_time_millis_testing 173.37679862976074 wall_clock_time_millis_testing 127.04300880432129 wall_clock_time_millis_testing 207.29708671569824 wall_clock_time_millis_testing 203.34959030151367 wall_clock_time_millis_testing 201.51472091674805 wall_clock_time_millis_training 5016.996383666992 wall_clock_time_millis_training 5014.600992202759 wall_clock_time_millis_training 4972.11217880249 wall_clock_time_millis_training 3868.388891220093 wall_clock_time_millis_training 3326.118230819702 wall_clock_time_millis_training 4078.4664154052734 wall_clock_time_millis_training 3570.930004119873 wall_clock_time_millis_training 3826.6780376434326 wall_clock_time_millis_training 3255.124092102051 wall_clock_time_millis_training 4625.765085220337