10571901 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) 8288183 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 "median" 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 "entropy" 19034 max_depth null 19034 max_features 0.7585743296802278 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 18 19034 min_samples_split 15 19034 min_weight_fraction_leaf 0.0 19034 random_state 23358 19034 splitter "random" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22070069 description https://api.openml.org/data/download/22070069/description.xml -1 22070070 predictions https://api.openml.org/data/download/22070070/predictions.arff area_under_roc_curve 0.9807621851043993 [0.971792,0.990927,0.985955,0.976841] average_cost 0 f_measure 0.902634457250828 [0.892744,0.947919,0.850794,0.834655] kappa 0.8528639322618857 kb_relative_information_score 0.835748006364992 mean_absolute_error 0.06671539490312844 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9028592375366569 [0.898413,0.950405,0.817073,0.828087] number_of_instances 5456 [2205,2097,328,826] precision 0.9026338135153269 [0.887147,0.945446,0.887417,0.841328] predictive_accuracy 0.9028592375366569 prior_entropy 1.7146330399083418 relative_absolute_error 0.20141217080401227 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.18807780554230857 root_relative_squared_error 0.46217174329907995 total_cost 0 unweighted_recall 0.8734945942944761 [0.898413,0.950405,0.817073,0.828087] area_under_roc_curve 0.9797221275614083 [0.971772,0.989094,0.982368,0.976083] area_under_roc_curve 0.9817839057952356 [0.972537,0.994225,0.960777,0.983297] area_under_roc_curve 0.9776717125545301 [0.966753,0.993615,0.971026,0.968917] area_under_roc_curve 0.9831059610370253 [0.976659,0.989824,0.977819,0.985298] area_under_roc_curve 0.9650961670090697 [0.953855,0.976715,0.994123,0.953954] area_under_roc_curve 0.986958683911429 [0.983812,0.988995,0.999646,0.985102] area_under_roc_curve 0.9838292440375506 [0.972196,0.995679,0.998081,0.979189] area_under_roc_curve 0.9818245935127876 [0.973898,0.993855,0.998173,0.966333] area_under_roc_curve 0.9806127338053999 [0.970679,0.990167,0.9789,0.983722] area_under_roc_curve 0.9828962919259601 [0.971161,0.992951,0.993726,0.984539] 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 0.9099410910021496 [0.896714,0.953488,0.911765,0.833333] f_measure 0.9043613401378218 [0.897321,0.942584,0.821429,0.858824] f_measure 0.8882820423615355 [0.877273,0.954869,0.735294,0.809816] f_measure 0.9195083796400079 [0.922374,0.953917,0.785714,0.878049] f_measure 0.8842554646303927 [0.883621,0.902439,0.878788,0.842105] f_measure 0.914218483656152 [0.905405,0.936893,0.955224,0.863905] f_measure 0.9001215698905919 [0.87907,0.969555,0.911765,0.775758] f_measure 0.9055257289981196 [0.891892,0.962264,0.857143,0.81761] f_measure 0.8913696925423884 [0.880899,0.949881,0.8,0.807229] f_measure 0.9063340883239172 [0.893246,0.95122,0.827586,0.858896] kappa 0.8651539283482186 kappa 0.855359817416732 kappa 0.8314567508893735 kappa 0.8799901857550323 kappa 0.8241590839382475 kappa 0.8704959728698599 kappa 0.8508340218046904 kappa 0.8578311774002978 kappa 0.8358199048260933 kappa 0.8574257121020155 kb_relative_information_score 0.8395665239978795 kb_relative_information_score 0.8383931047193949 kb_relative_information_score 0.8134733393631454 kb_relative_information_score 0.852463552482677 kb_relative_information_score 0.800723713289868 kb_relative_information_score 0.8620707581207633 kb_relative_information_score 0.8428399723601849 kb_relative_information_score 0.8549565510144737 kb_relative_information_score 0.8273525214328934 kb_relative_information_score 0.8257100265110008 mean_absolute_error 0.06637850592324718 mean_absolute_error 0.0631065739481346 mean_absolute_error 0.0721604306387188 mean_absolute_error 0.05871843084246892 mean_absolute_error 0.08055817799935015 mean_absolute_error 0.05728234635883569 mean_absolute_error 0.06532282150942652 mean_absolute_error 0.05990154441147304 mean_absolute_error 0.07132274348534055 mean_absolute_error 0.07240620493026943 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 0.9112855178206446 [0.931707,0.931818,0.885714,0.813953] precision 0.9076999683361933 [0.885463,0.947115,1,0.829545] precision 0.888450223326662 [0.877273,0.952607,0.714286,0.825] precision 0.9217192420847188 [0.926606,0.924107,0.956522,0.888889] precision 0.8884094740295738 [0.840164,0.925,0.878788,0.927536] precision 0.9149571255378292 [0.897321,0.955446,0.941176,0.848837] precision 0.900291053221275 [0.9,0.953917,0.861111,0.780488] precision 0.9053009208037089 [0.887892,0.948837,0.870968,0.855263] precision 0.8920467453036262 [0.875,0.947619,0.888889,0.797619] precision 0.9094725402162528 [0.861345,0.970149,0.96,0.864198] predictive_accuracy 0.9102564102564102 predictive_accuracy 0.9047619047619048 predictive_accuracy 0.8882783882783883 predictive_accuracy 0.9212454212454213 predictive_accuracy 0.8846153846153847 predictive_accuracy 0.9139194139194139 predictive_accuracy 0.9009174311926605 predictive_accuracy 0.9064220183486239 predictive_accuracy 0.891743119266055 predictive_accuracy 0.9064220183486239 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 0.20045244181918875 relative_absolute_error 0.1905717320208096 relative_absolute_error 0.2177608329372901 relative_absolute_error 0.17719648144901537 relative_absolute_error 0.24310298297521954 relative_absolute_error 0.1728627635019873 relative_absolute_error 0.19727804948323724 relative_absolute_error 0.18091544803610052 relative_absolute_error 0.21535548103173738 relative_absolute_error 0.21862693904428507 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 0.18641702947741404 root_mean_squared_error 0.18459378133884122 root_mean_squared_error 0.20083269234283865 root_mean_squared_error 0.17427670077613344 root_mean_squared_error 0.21415166124582913 root_mean_squared_error 0.1730692159769596 root_mean_squared_error 0.18420721701889586 root_mean_squared_error 0.178695951870063 root_mean_squared_error 0.1914093261928073 root_mean_squared_error 0.18941657185220168 root_relative_squared_error 0.45822173219658807 root_relative_squared_error 0.4537401034386196 root_relative_squared_error 0.49331153912036707 root_relative_squared_error 0.42808123762007455 root_relative_squared_error 0.5260273334085515 root_relative_squared_error 0.4251152554495621 root_relative_squared_error 0.45282115219981706 root_relative_squared_error 0.4392973584529014 root_relative_squared_error 0.4704323588127781 root_relative_squared_error 0.465534707566458 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 0.908374086458735 [0.864253,0.97619,0.939394,0.853659] unweighted_recall 0.8587027749868495 [0.909502,0.938095,0.69697,0.890244] unweighted_recall 0.8467930162207271 [0.877273,0.957143,0.757576,0.795181] unweighted_recall 0.8595081625202108 [0.918182,0.985714,0.666667,0.86747] unweighted_recall 0.8656606947269598 [0.931818,0.880952,0.878788,0.771084] unweighted_recall 0.9204747561675272 [0.913636,0.919048,0.969697,0.879518] unweighted_recall 0.8961598830386481 [0.859091,0.985714,0.96875,0.771084] unweighted_recall 0.8747216717385901 [0.895928,0.976077,0.84375,0.783133] unweighted_recall 0.845844209026645 [0.886878,0.952153,0.727273,0.817073] unweighted_recall 0.8603868569699575 [0.927602,0.933014,0.727273,0.853659] usercpu_time_millis 52.40984499999968 usercpu_time_millis 52.43398900000784 usercpu_time_millis 52.223694999952386 usercpu_time_millis 52.76098000001639 usercpu_time_millis 55.11036600000807 usercpu_time_millis 55.32666599992808 usercpu_time_millis 54.434299000035935 usercpu_time_millis 54.58315499998889 usercpu_time_millis 51.99411400002418 usercpu_time_millis 50.34743100003425 usercpu_time_millis_testing 5.460791000018617 usercpu_time_millis_testing 6.074691999970128 usercpu_time_millis_testing 5.506127999979071 usercpu_time_millis_testing 6.0526880000111305 usercpu_time_millis_testing 6.044696999992993 usercpu_time_millis_testing 6.117783999968651 usercpu_time_millis_testing 6.190716000048724 usercpu_time_millis_testing 5.894968000006884 usercpu_time_millis_testing 5.760242999997445 usercpu_time_millis_testing 4.840701000034642 usercpu_time_millis_training 46.94905399998106 usercpu_time_millis_training 46.359297000037714 usercpu_time_millis_training 46.717566999973315 usercpu_time_millis_training 46.70829200000526 usercpu_time_millis_training 49.06566900001508 usercpu_time_millis_training 49.20888199995943 usercpu_time_millis_training 48.24358299998721 usercpu_time_millis_training 48.68818699998201 usercpu_time_millis_training 46.23387100002674 usercpu_time_millis_training 45.50672999999961 wall_clock_time_millis 57.672977447509766 wall_clock_time_millis 59.19384956359863 wall_clock_time_millis 52.33597755432129 wall_clock_time_millis 52.8874397277832 wall_clock_time_millis 60.65201759338379 wall_clock_time_millis 55.88555335998535 wall_clock_time_millis 54.57878112792969 wall_clock_time_millis 54.69465255737305 wall_clock_time_millis 53.50208282470703 wall_clock_time_millis 53.666114807128906 wall_clock_time_millis_testing 5.716800689697266 wall_clock_time_millis_testing 6.184816360473633 wall_clock_time_millis_testing 5.614757537841797 wall_clock_time_millis_testing 6.059169769287109 wall_clock_time_millis_testing 6.051778793334961 wall_clock_time_millis_testing 6.125688552856445 wall_clock_time_millis_testing 6.197214126586914 wall_clock_time_millis_testing 5.91278076171875 wall_clock_time_millis_testing 7.23719596862793 wall_clock_time_millis_testing 6.004571914672852 wall_clock_time_millis_training 51.9561767578125 wall_clock_time_millis_training 53.009033203125 wall_clock_time_millis_training 46.72122001647949 wall_clock_time_millis_training 46.828269958496094 wall_clock_time_millis_training 54.60023880004883 wall_clock_time_millis_training 49.759864807128906 wall_clock_time_millis_training 48.38156700134277 wall_clock_time_millis_training 48.7818717956543 wall_clock_time_millis_training 46.2648868560791 wall_clock_time_millis_training 47.661542892456055 weighted_recall 0.9102564102564102 [0.864253,0.97619,0.939394,0.853659] weighted_recall 0.9047619047619048 [0.909502,0.938095,0.69697,0.890244] weighted_recall 0.8882783882783882 [0.877273,0.957143,0.757576,0.795181] weighted_recall 0.9212454212454212 [0.918182,0.985714,0.666667,0.86747] weighted_recall 0.8846153846153846 [0.931818,0.880952,0.878788,0.771084] weighted_recall 0.9139194139194139 [0.913636,0.919048,0.969697,0.879518] weighted_recall 0.9009174311926605 [0.859091,0.985714,0.96875,0.771084] weighted_recall 0.9064220183486239 [0.895928,0.976077,0.84375,0.783133] weighted_recall 0.8917431192660551 [0.886878,0.952153,0.727273,0.817073] weighted_recall 0.9064220183486239 [0.927602,0.933014,0.727273,0.853659]