10550151 8323 Heinrich Peters 9960 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275616 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 10 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 10000 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "lbfgs" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 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": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22025257 description https://api.openml.org/data/download/22025257/description.xml -1 22025258 predictions https://api.openml.org/data/download/22025258/predictions.arff area_under_roc_curve 0.8772091844018985 [0.860925,0.864648,0.963606,0.918262] average_cost 0 f_measure 0.6855916048966683 [0.722539,0.719862,0.555354,0.551673] kappa 0.5209697583543089 kb_relative_information_score 0.4803921639393849 mean_absolute_error 0.20936243756814113 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.6918988269794721 [0.71746,0.795899,0.466463,0.449153] number_of_instances 5456 [2205,2097,328,826] precision 0.6961077945281375 [0.727691,0.657087,0.686099,0.714836] predictive_accuracy 0.6918988269794721 prior_entropy 1.7146330399083418 relative_absolute_error 0.6320601578788141 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.31886926097532925 root_relative_squared_error 0.7835712555477763 total_cost 0 unweighted_recall 0.6072437944155964 [0.71746,0.795899,0.466463,0.449153] area_under_roc_curve 0.8756005710180023 [0.864212,0.86087,0.958415,0.910692] area_under_roc_curve 0.8707772108261811 [0.861371,0.849943,0.959655,0.913714] area_under_roc_curve 0.8651594682887614 [0.840798,0.849221,0.963495,0.930964] area_under_roc_curve 0.8799701984585979 [0.855786,0.879776,0.950499,0.916521] area_under_roc_curve 0.8740544406773637 [0.845162,0.866185,0.96249,0.935387] area_under_roc_curve 0.873051695487115 [0.862688,0.860247,0.960896,0.897994] area_under_roc_curve 0.8716461526701587 [0.853622,0.855281,0.975938,0.920618] area_under_roc_curve 0.8915380292311726 [0.887716,0.867011,0.982273,0.928493] area_under_roc_curve 0.8969761352987567 [0.887213,0.887574,0.955907,0.923537] area_under_roc_curve 0.876577782129876 [0.853639,0.873305,0.967744,0.910051] 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 0.6782368370148728 [0.726457,0.710526,0.5,0.537313] f_measure 0.6746014762344776 [0.712329,0.69697,0.590164,0.549618] f_measure 0.6764676684609474 [0.702079,0.706638,0.603774,0.561151] f_measure 0.7014479270179286 [0.724706,0.746331,0.48,0.614286] f_measure 0.6909546557962178 [0.708804,0.722944,0.555556,0.616541] f_measure 0.6733992442381062 [0.717593,0.705882,0.617647,0.496241] f_measure 0.6703409385681988 [0.718954,0.703786,0.528302,0.511628] f_measure 0.7036692491951985 [0.760181,0.726477,0.654545,0.514706] f_measure 0.6851850474384997 [0.723898,0.729958,0.509804,0.537313] f_measure 0.6978704857036325 [0.730233,0.746835,0.48,0.573529] kappa 0.5101299893588165 kappa 0.5031123730479415 kappa 0.5051307962370689 kappa 0.547027455727509 kappa 0.5261928037094927 kappa 0.5071719250468072 kappa 0.49740468474165417 kappa 0.5496739306651605 kappa 0.5219097346248399 kappa 0.5421658913589061 kb_relative_information_score 0.4777735428993759 kb_relative_information_score 0.4636683354170451 kb_relative_information_score 0.47180340639232915 kb_relative_information_score 0.47896636797445474 kb_relative_information_score 0.48204711016855767 kb_relative_information_score 0.47258594644785634 kb_relative_information_score 0.4887750667679977 kb_relative_information_score 0.5040368859244542 kb_relative_information_score 0.49259257898399866 kb_relative_information_score 0.47179425927388474 mean_absolute_error 0.20896456261895616 mean_absolute_error 0.21415418786223608 mean_absolute_error 0.21234600270722775 mean_absolute_error 0.20913574153570735 mean_absolute_error 0.2095671770304824 mean_absolute_error 0.2119412139865523 mean_absolute_error 0.2065779527938983 mean_absolute_error 0.20366809177830492 mean_absolute_error 0.2035840708337177 mean_absolute_error 0.21366714653372038 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 0.6854741212780205 [0.72,0.658537,0.608696,0.692308] precision 0.6859000483095282 [0.718894,0.638889,0.642857,0.734694] precision 0.6886882405066411 [0.713615,0.642023,0.8,0.696429] precision 0.7164403762229028 [0.75122,0.666667,0.705882,0.754386] precision 0.7063845927010565 [0.704036,0.662698,0.714286,0.82] precision 0.6814204443733883 [0.731132,0.650602,0.6,0.66] precision 0.6818130434226286 [0.690377,0.661088,0.666667,0.717391] precision 0.7114678170750626 [0.760181,0.669355,0.782609,0.660377] precision 0.6994779855191834 [0.742857,0.65283,0.722222,0.692308] precision 0.7121594868832313 [0.751196,0.667925,0.705882,0.722222] predictive_accuracy 0.684981684981685 predictive_accuracy 0.6794871794871794 predictive_accuracy 0.6813186813186813 predictive_accuracy 0.7087912087912087 predictive_accuracy 0.6959706959706959 predictive_accuracy 0.6794871794871794 predictive_accuracy 0.6788990825688073 predictive_accuracy 0.710091743119266 predictive_accuracy 0.6935779816513761 predictive_accuracy 0.706422018348624 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 0.6310394644778927 relative_absolute_error 0.6467113003782792 relative_absolute_error 0.6408033046800976 relative_absolute_error 0.6311155971585543 relative_absolute_error 0.6324175538108266 relative_absolute_error 0.639581760847866 relative_absolute_error 0.623875311135168 relative_absolute_error 0.6151211030824836 relative_absolute_error 0.6147119889436938 relative_absolute_error 0.6451573351480193 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 0.31983555192187146 root_mean_squared_error 0.3233440913838025 root_mean_squared_error 0.3240002517595497 root_mean_squared_error 0.3181797714623603 root_mean_squared_error 0.31940783657446725 root_mean_squared_error 0.3219642824059854 root_mean_squared_error 0.3198484019809946 root_mean_squared_error 0.31011346644317966 root_mean_squared_error 0.31139442284722874 root_mean_squared_error 0.32027676798499133 root_relative_squared_error 0.7861706681548004 root_relative_squared_error 0.7947948213999895 root_relative_squared_error 0.7958518157892398 root_relative_squared_error 0.781554790437786 root_relative_squared_error 0.7845713246659848 root_relative_squared_error 0.7908508014439549 root_relative_squared_error 0.786256501011289 root_relative_squared_error 0.7623677268762141 root_relative_squared_error 0.7653232774750252 root_relative_squared_error 0.7871536796715084 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 0.5919317650307607 [0.733032,0.771429,0.424242,0.439024] unweighted_recall 0.6142569888265728 [0.705882,0.766667,0.545455,0.439024] unweighted_recall 0.6078378448860376 [0.690909,0.785714,0.484848,0.46988] unweighted_recall 0.6073319251030094 [0.7,0.847619,0.363636,0.518072] unweighted_recall 0.6143489542585928 [0.713636,0.795238,0.454545,0.493976] unweighted_recall 0.6274820059458613 [0.704545,0.771429,0.636364,0.39759] unweighted_recall 0.5843678284566839 [0.75,0.752381,0.4375,0.39759] unweighted_recall 0.6346565289172016 [0.760181,0.794258,0.5625,0.421687] unweighted_recall 0.5916493333241805 [0.705882,0.827751,0.393939,0.439024] unweighted_recall 0.5991358279265098 [0.710407,0.84689,0.363636,0.47561] usercpu_time_millis 142.8599539794959 usercpu_time_millis 122.28140997467563 usercpu_time_millis 112.68991499673575 usercpu_time_millis 105.96895805792883 usercpu_time_millis 103.54233195539564 usercpu_time_millis 111.18559300666675 usercpu_time_millis 102.10555500816554 usercpu_time_millis 102.77133504860103 usercpu_time_millis 106.73300002235919 usercpu_time_millis 106.80000099819154 usercpu_time_millis_testing 0.9309129673056304 usercpu_time_millis_testing 0.8291570120491087 usercpu_time_millis_testing 0.8420840022154152 usercpu_time_millis_testing 0.7595810457132757 usercpu_time_millis_testing 0.7833579438738525 usercpu_time_millis_testing 0.7620379910804331 usercpu_time_millis_testing 0.740243005566299 usercpu_time_millis_testing 0.7252870127558708 usercpu_time_millis_testing 0.8056060178205371 usercpu_time_millis_testing 0.7958679925650358 usercpu_time_millis_training 141.92904101219028 usercpu_time_millis_training 121.45225296262652 usercpu_time_millis_training 111.84783099452034 usercpu_time_millis_training 105.20937701221555 usercpu_time_millis_training 102.75897401152179 usercpu_time_millis_training 110.42355501558632 usercpu_time_millis_training 101.36531200259924 usercpu_time_millis_training 102.04604803584516 usercpu_time_millis_training 105.92739400453866 usercpu_time_millis_training 106.0041330056265 wall_clock_time_millis 142.87924766540527 wall_clock_time_millis 122.28655815124512 wall_clock_time_millis 112.70761489868164 wall_clock_time_millis 106.0633659362793 wall_clock_time_millis 103.5463809967041 wall_clock_time_millis 111.20414733886719 wall_clock_time_millis 102.4472713470459 wall_clock_time_millis 102.77962684631348 wall_clock_time_millis 106.73832893371582 wall_clock_time_millis 106.80508613586426 wall_clock_time_millis_testing 0.9336471557617188 wall_clock_time_millis_testing 0.8318424224853516 wall_clock_time_millis_testing 0.8592605590820312 wall_clock_time_millis_testing 0.7634162902832031 wall_clock_time_millis_testing 0.7867813110351562 wall_clock_time_millis_testing 0.7658004760742188 wall_clock_time_millis_testing 0.7429122924804688 wall_clock_time_millis_testing 0.7281303405761719 wall_clock_time_millis_testing 0.8091926574707031 wall_clock_time_millis_testing 0.7998943328857422 wall_clock_time_millis_training 141.94560050964355 wall_clock_time_millis_training 121.45471572875977 wall_clock_time_millis_training 111.84835433959961 wall_clock_time_millis_training 105.2999496459961 wall_clock_time_millis_training 102.75959968566895 wall_clock_time_millis_training 110.43834686279297 wall_clock_time_millis_training 101.70435905456543 wall_clock_time_millis_training 102.0514965057373 wall_clock_time_millis_training 105.92913627624512 wall_clock_time_millis_training 106.00519180297852 weighted_recall 0.684981684981685 [0.733032,0.771429,0.424242,0.439024] weighted_recall 0.6794871794871795 [0.705882,0.766667,0.545455,0.439024] weighted_recall 0.6813186813186813 [0.690909,0.785714,0.484848,0.46988] weighted_recall 0.7087912087912088 [0.7,0.847619,0.363636,0.518072] weighted_recall 0.6959706959706959 [0.713636,0.795238,0.454545,0.493976] weighted_recall 0.6794871794871795 [0.704545,0.771429,0.636364,0.39759] weighted_recall 0.6788990825688074 [0.75,0.752381,0.4375,0.39759] weighted_recall 0.710091743119266 [0.760181,0.794258,0.5625,0.421687] weighted_recall 0.6935779816513762 [0.705882,0.827751,0.393939,0.439024] weighted_recall 0.7064220183486238 [0.710407,0.84689,0.363636,0.47561]