10571828 28997 Marc Boel 9960 Supervised Classification 19030 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(2) 8288110 Python_3.7.12. Sklearn_1.0.1. NumPy_1.19.5. SciPy_1.4.1. memory null 19030 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "decisiontreeclassifier", "step_name": "decisiontreeclassifier"}}] 19030 verbose false 19030 n_jobs null 19031 remainder "drop" 19031 sparse_threshold 0.3 19031 transformer_weights null 19031 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}] 19031 verbose false 19031 verbose_feature_names_out true 19031 add_indicator false 19032 copy true 19032 fill_value null 19032 missing_values NaN 19032 strategy "mean" 19032 verbose 0 19032 categories "auto" 19033 drop null 19033 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 19033 handle_unknown "ignore" 19033 sparse true 19033 ccp_alpha 0.0 19034 class_weight null 19034 criterion "gini" 19034 max_depth null 19034 max_features 0.808185767609645 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 3 19034 min_samples_split 10 19034 min_weight_fraction_leaf 0.0 19034 random_state 49376 19034 splitter "random" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069923 description https://api.openml.org/data/download/22069923/description.xml -1 22069924 predictions https://api.openml.org/data/download/22069924/predictions.arff area_under_roc_curve 0.9784563894322063 [0.974923,0.985731,0.970147,0.97272] average_cost 0 f_measure 0.9361728569641482 [0.933273,0.959179,0.883792,0.906307] kappa 0.9035618740554915 kb_relative_information_score 0.905240614627716 mean_absolute_error 0.03613147605083087 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9362170087976539 [0.938776,0.958035,0.881098,0.895884] number_of_instances 5456 [2205,2097,328,826] precision 0.9361938183097429 [0.927835,0.960325,0.886503,0.916976] predictive_accuracy 0.936217008797654 prior_entropy 1.7146330399083418 relative_absolute_error 0.10908005620468529 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.1580906791981288 root_relative_squared_error 0.3884830780200625 total_cost 0 unweighted_recall 0.9184480342316981 [0.938776,0.958035,0.881098,0.895884] area_under_roc_curve 0.9743054335113062 [0.967282,0.977927,0.982161,0.980801] area_under_roc_curve 0.9858583621314472 [0.987045,0.988187,0.968279,0.983771] area_under_roc_curve 0.9770345573529291 [0.974289,0.984219,0.952005,0.976086] area_under_roc_curve 0.9745780297984159 [0.973933,0.980215,0.968073,0.96461] area_under_roc_curve 0.9760917671148939 [0.968523,0.994225,0.981954,0.947943] area_under_roc_curve 0.9806177386197731 [0.977984,0.99606,0.951001,0.960303] area_under_roc_curve 0.9805139637234882 [0.978769,0.980412,0.980446,0.985422] area_under_roc_curve 0.9782238054670858 [0.972048,0.982015,0.983096,0.983245] area_under_roc_curve 0.9781683837275871 [0.973758,0.989355,0.938299,0.977585] area_under_roc_curve 0.9790897218338304 [0.975274,0.984578,0.997514,0.967971] 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 0.9286656493747962 [0.920635,0.94964,0.878788,0.916667] f_measure 0.9522241376050805 [0.955157,0.964371,0.920635,0.925926] f_measure 0.9394565058085586 [0.932432,0.966667,0.892308,0.907975] f_measure 0.9319765594821153 [0.926829,0.954654,0.870968,0.9125] f_measure 0.922646898998353 [0.915718,0.964706,0.861538,0.858896] f_measure 0.9415627898060006 [0.936937,0.964029,0.835821,0.939024] f_measure 0.94163144527872 [0.943567,0.959427,0.857143,0.924051] f_measure 0.9485943397466046 [0.945205,0.95962,0.9375,0.934132] f_measure 0.9353248321889486 [0.937778,0.966507,0.888889,0.867925] f_measure 0.9196444941967814 [0.918182,0.941748,0.898551,0.87574] kappa 0.8923920458852365 kappa 0.9277671207086922 kappa 0.9085566382460414 kappa 0.8969590631343787 kappa 0.8836470647927344 kappa 0.9115435827076614 kappa 0.9113073018908225 kappa 0.9224451627330202 kappa 0.9023952187728663 kappa 0.8788136064322787 kb_relative_information_score 0.8993707274945035 kb_relative_information_score 0.9254418654304679 kb_relative_information_score 0.8980500453519419 kb_relative_information_score 0.8951018607767594 kb_relative_information_score 0.8975474305405469 kb_relative_information_score 0.9097098910567857 kb_relative_information_score 0.9106476455739899 kb_relative_information_score 0.9210824168357528 kb_relative_information_score 0.9032046472798438 kb_relative_information_score 0.8923197629477899 mean_absolute_error 0.03903497296354439 mean_absolute_error 0.028140080818652248 mean_absolute_error 0.03854003139717425 mean_absolute_error 0.03928607767893482 mean_absolute_error 0.037723123437409155 mean_absolute_error 0.033206145706145704 mean_absolute_error 0.03469018494247853 mean_absolute_error 0.031408184068734524 mean_absolute_error 0.0360124508519004 mean_absolute_error 0.043275083733799305 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 0.9289576870719439 [0.922727,0.956522,0.878788,0.895349] precision 0.9524290256873196 [0.946667,0.962085,0.966667,0.9375] precision 0.9395326399790686 [0.924107,0.966667,0.90625,0.925] precision 0.9329981803406745 [0.904762,0.956938,0.931034,0.948052] precision 0.9224365684225513 [0.917808,0.953488,0.875,0.875] precision 0.9418982837364683 [0.928571,0.971014,0.823529,0.950617] precision 0.9434860327644342 [0.93722,0.961722,0.789474,0.973333] precision 0.9486763416663408 [0.953917,0.95283,0.9375,0.928571] precision 0.9356134686994829 [0.921397,0.966507,0.933333,0.896104] precision 0.9206284992838147 [0.922374,0.955665,0.861111,0.850575] predictive_accuracy 0.9285714285714286 predictive_accuracy 0.9523809523809524 predictive_accuracy 0.9395604395604396 predictive_accuracy 0.9322344322344323 predictive_accuracy 0.923076923076923 predictive_accuracy 0.9413919413919415 predictive_accuracy 0.9412844036697249 predictive_accuracy 0.9486238532110092 predictive_accuracy 0.9357798165137615 predictive_accuracy 0.9192660550458716 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 0.11787935775378948 relative_absolute_error 0.08497853084567014 relative_absolute_error 0.11630348189711114 relative_absolute_error 0.11855484955509157 relative_absolute_error 0.11383827269343855 relative_absolute_error 0.10020724493469699 relative_absolute_error 0.10476601995333824 relative_absolute_error 0.09485941887847378 relative_absolute_error 0.10873780644650675 relative_absolute_error 0.13066696566567954 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 0.16646376455046952 root_mean_squared_error 0.13628480659786948 root_mean_squared_error 0.1605874203802392 root_mean_squared_error 0.16602381245749878 root_mean_squared_error 0.16560148842775504 root_mean_squared_error 0.14845474599103925 root_mean_squared_error 0.15702312818639289 root_mean_squared_error 0.15002470300022522 root_mean_squared_error 0.15746135394525973 root_mean_squared_error 0.16991711348364147 root_relative_squared_error 0.4091756786067808 root_relative_squared_error 0.3349943957717603 root_relative_squared_error 0.39445583578549304 root_relative_squared_error 0.40780941339085897 root_relative_squared_error 0.40677204584531645 root_relative_squared_error 0.36465397331598404 root_relative_squared_error 0.38599678654332126 root_relative_squared_error 0.3688133672921841 root_relative_squared_error 0.3869974239588846 root_relative_squared_error 0.4176103123535875 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 0.9198053620220048 [0.918552,0.942857,0.878788,0.939024] unweighted_recall 0.9309723991933461 [0.963801,0.966667,0.878788,0.914634] unweighted_recall 0.9194824753559694 [0.940909,0.966667,0.878788,0.891566] unweighted_recall 0.9000202107129818 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usercpu_time_millis_testing 6.028951000018878 usercpu_time_millis_testing 6.1799919999998565 usercpu_time_millis_testing 6.15521899999294 usercpu_time_millis_testing 5.972224999993614 usercpu_time_millis_testing 5.965855999988889 usercpu_time_millis_testing 5.763257000012345 usercpu_time_millis_testing 6.150430000047891 usercpu_time_millis_training 31.55459599997812 usercpu_time_millis_training 32.302030999971976 usercpu_time_millis_training 32.20916200001511 usercpu_time_millis_training 30.8732609999538 usercpu_time_millis_training 31.95761800003538 usercpu_time_millis_training 33.359695000001466 usercpu_time_millis_training 33.433576999982506 usercpu_time_millis_training 32.145832000026076 usercpu_time_millis_training 31.152423000037288 usercpu_time_millis_training 32.56591600001002 wall_clock_time_millis 37.17780113220215 wall_clock_time_millis 38.93423080444336 wall_clock_time_millis 38.27476501464844 wall_clock_time_millis 37.37354278564453 wall_clock_time_millis 38.18035125732422 wall_clock_time_millis 39.650678634643555 wall_clock_time_millis 39.48068618774414 wall_clock_time_millis 38.147926330566406 wall_clock_time_millis 36.92483901977539 wall_clock_time_millis 38.83957862854004 wall_clock_time_millis_testing 5.550622940063477 wall_clock_time_millis_testing 6.133556365966797 wall_clock_time_millis_testing 6.062507629394531 wall_clock_time_millis_testing 6.110906600952148 wall_clock_time_millis_testing 6.186723709106445 wall_clock_time_millis_testing 6.171703338623047 wall_clock_time_millis_testing 6.043910980224609 wall_clock_time_millis_testing 5.990028381347656 wall_clock_time_millis_testing 5.769252777099609 wall_clock_time_millis_testing 6.243228912353516 wall_clock_time_millis_training 31.627178192138672 wall_clock_time_millis_training 32.80067443847656 wall_clock_time_millis_training 32.212257385253906 wall_clock_time_millis_training 31.262636184692383 wall_clock_time_millis_training 31.993627548217773 wall_clock_time_millis_training 33.47897529602051 wall_clock_time_millis_training 33.43677520751953 wall_clock_time_millis_training 32.15789794921875 wall_clock_time_millis_training 31.15558624267578 wall_clock_time_millis_training 32.59634971618652 weighted_recall 0.9285714285714286 [0.918552,0.942857,0.878788,0.939024] weighted_recall 0.9523809523809523 [0.963801,0.966667,0.878788,0.914634] weighted_recall 0.9395604395604396 [0.940909,0.966667,0.878788,0.891566] weighted_recall 0.9322344322344323 [0.95,0.952381,0.818182,0.879518] weighted_recall 0.9230769230769231 [0.913636,0.97619,0.848485,0.843373] weighted_recall 0.9413919413919414 [0.945455,0.957143,0.848485,0.927711] weighted_recall 0.9412844036697248 [0.95,0.957143,0.9375,0.879518] weighted_recall 0.9486238532110092 [0.936652,0.966507,0.9375,0.939759] weighted_recall 0.9357798165137615 [0.954751,0.966507,0.848485,0.841463] weighted_recall 0.9192660550458716 [0.914027,0.92823,0.939394,0.902439]