10560749 869 Pieter Gijsbers 9960 Supervised Classification 18995 sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),decisiontreeclassifier=sklearn.tree._classes.DecisionTreeClassifier)(1) 8277066 Python_3.8.3. Sklearn_0.24.2. NumPy_1.21.2. SciPy_1.7.1. add_indicator false 18819 copy true 18819 fill_value null 18819 missing_values NaN 18819 strategy "mean" 18819 verbose 0 18819 ccp_alpha 0.0 18820 class_weight null 18820 criterion "gini" 18820 max_depth 1 18820 max_features null 18820 max_leaf_nodes null 18820 min_impurity_decrease 0.0 18820 min_impurity_split null 18820 min_samples_leaf 1 18820 min_samples_split 2 18820 min_weight_fraction_leaf 0.0 18820 random_state 31861 18820 splitter "best" 18820 memory null 18995 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"}}] 18995 verbose false 18995 n_jobs null 18996 remainder "drop" 18996 sparse_threshold 0.3 18996 transformer_weights null 18996 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"}}}] 18996 verbose false 18996 categories "auto" 18997 drop null 18997 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 18997 handle_unknown "ignore" 18997 sparse true 18997 openml-python Sklearn_0.24.2. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22047604 description https://api.openml.org/data/download/22047604/description.xml -1 22047605 predictions https://api.openml.org/data/download/22047605/predictions.arff area_under_roc_curve 0.7756364096414347 [0.740794,0.873573,0.652284,0.668993] average_cost 0 kappa 0.5007506841911917 kb_relative_information_score 0.39263908914608814 mean_absolute_error 0.21203079974866781 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.6995967741935484 [1,0.768717,0,0] number_of_instances 5456 [2205,2097,328,826] predictive_accuracy 0.6995967741935484 prior_entropy 1.7146330399083418 relative_absolute_error 0.6401158790515896 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.32562174754876416 root_relative_squared_error 0.8001644334735257 total_cost 0 unweighted_recall 0.4421793037672866 [1,0.768717,0,0] area_under_roc_curve 0.7947399269245913 [0.76,0.898512,0.664717,0.674937] area_under_roc_curve 0.7885095844533231 [0.752308,0.890476,0.659844,0.676724] area_under_roc_curve 0.782846889151081 [0.746933,0.883333,0.65692,0.673866] area_under_roc_curve 0.7969013929598305 [0.759202,0.902381,0.664717,0.682505] area_under_roc_curve 0.761765133437957 [0.728528,0.854762,0.645224,0.660907] area_under_roc_curve 0.7687923853423316 [0.734663,0.864286,0.649123,0.665227] area_under_roc_curve 0.7623158566132975 [0.729231,0.854762,0.645224,0.661255] area_under_roc_curve 0.8000937652877135 [0.762346,0.906699,0.665692,0.683983] area_under_roc_curve 0.7964903644864374 [0.759259,0.901914,0.664062,0.681425] area_under_roc_curve 0.7841365992995025 [0.748457,0.885167,0.657227,0.673866] 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 kappa 0.5219314144856086 kappa 0.5096009015140528 kappa 0.49840205783771135 kappa 0.5229344523223847 kappa 0.46156246169617693 kappa 0.47384779920457204 kappa 0.4629790331159197 kappa 0.5301198074123838 kappa 0.5239535039978499 kappa 0.5023583848704849 kb_relative_information_score 0.4047598225452214 kb_relative_information_score 0.3978293032339326 kb_relative_information_score 0.39158180836829204 kb_relative_information_score 0.40661431181323665 kb_relative_information_score 0.36893039117279053 kb_relative_information_score 0.37649458276304715 kb_relative_information_score 0.3700031391220866 kb_relative_information_score 0.41070118989023774 kb_relative_information_score 0.4063582052216409 kb_relative_information_score 0.3931683996913618 mean_absolute_error 0.20689708925427336 mean_absolute_error 0.20986722833790658 mean_absolute_error 0.21247339300667453 mean_absolute_error 0.20631150718291227 mean_absolute_error 0.2217700301101218 mean_absolute_error 0.2186639435939626 mean_absolute_error 0.22137074965368295 mean_absolute_error 0.20475343785080038 mean_absolute_error 0.2063971284546738 mean_absolute_error 0.21179652051321937 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] predictive_accuracy 0.7124542124542124 predictive_accuracy 0.7051282051282051 predictive_accuracy 0.6978021978021978 predictive_accuracy 0.7124542124542124 predictive_accuracy 0.6758241758241758 predictive_accuracy 0.6831501831501832 predictive_accuracy 0.6770642201834862 predictive_accuracy 0.7174311926605504 predictive_accuracy 0.7137614678899082 predictive_accuracy 0.7009174311926606 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 0.624796026506782 relative_absolute_error 0.6337653701757298 relative_absolute_error 0.6411877344495726 relative_absolute_error 0.6225928150793579 relative_absolute_error 0.6692424927325166 relative_absolute_error 0.659869156390879 relative_absolute_error 0.6685502661274129 relative_absolute_error 0.6183990798510113 relative_absolute_error 0.6232058766929154 relative_absolute_error 0.6395090728015453 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 0.32072266091872337 root_mean_squared_error 0.32322985301711116 root_mean_squared_error 0.3261574433867837 root_mean_squared_error 0.3196833011805136 root_mean_squared_error 0.33574939666366216 root_mean_squared_error 0.3325672570205514 root_mean_squared_error 0.3352164212656233 root_mean_squared_error 0.31764552232485144 root_mean_squared_error 0.3194635338369452 root_mean_squared_error 0.32514400946322336 root_relative_squared_error 0.7883512233450864 root_relative_squared_error 0.7945140181792999 root_relative_squared_error 0.8011505921457889 root_relative_squared_error 0.7852479568775866 root_relative_squared_error 0.8247116029502944 root_relative_squared_error 0.8168952151564232 root_relative_squared_error 0.8240344139080498 root_relative_squared_error 0.7808841634149895 root_relative_squared_error 0.7851549700676356 root_relative_squared_error 0.7991160429223443 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 0.45 [1,0.8,0,0] unweighted_recall 0.4452380952380952 [1,0.780952,0,0] unweighted_recall 0.44166666666666665 [1,0.766667,0,0] unweighted_recall 0.4511904761904762 [1,0.804762,0,0] unweighted_recall 0.4273809523809524 [1,0.709524,0,0] unweighted_recall 0.43214285714285716 [1,0.728571,0,0] unweighted_recall 0.4273809523809524 [1,0.709524,0,0] unweighted_recall 0.4533492822966507 [1,0.813397,0,0] unweighted_recall 0.45095693779904306 [1,0.803828,0,0] unweighted_recall 0.4425837320574163 [1,0.770335,0,0] usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis 31.25 usercpu_time_millis 31.25 usercpu_time_millis 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 15.625 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 usercpu_time_millis_training 15.625 usercpu_time_millis_training 31.25 usercpu_time_millis_training 15.625 wall_clock_time_millis 19.99974250793457 wall_clock_time_millis 21.985769271850586 wall_clock_time_millis 21.485328674316406 wall_clock_time_millis 21.999835968017578 wall_clock_time_millis 21.001100540161133 wall_clock_time_millis 20.999908447265625 wall_clock_time_millis 22.00031280517578 wall_clock_time_millis 21.99864387512207 wall_clock_time_millis 20.999908447265625 wall_clock_time_millis 20.987510681152344 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 2.9861927032470703 wall_clock_time_millis_testing 2.620220184326172 wall_clock_time_millis_testing 3.0002593994140625 wall_clock_time_millis_testing 2.000570297241211 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 3.0002593994140625 wall_clock_time_millis_testing 2.998828887939453 wall_clock_time_millis_testing 1.9998550415039062 wall_clock_time_millis_testing 2.9876232147216797 wall_clock_time_millis_training 17.999887466430664 wall_clock_time_millis_training 18.999576568603516 wall_clock_time_millis_training 18.865108489990234 wall_clock_time_millis_training 18.999576568603516 wall_clock_time_millis_training 19.000530242919922 wall_clock_time_millis_training 19.00005340576172 wall_clock_time_millis_training 19.00005340576172 wall_clock_time_millis_training 18.999814987182617 wall_clock_time_millis_training 19.00005340576172 wall_clock_time_millis_training 17.999887466430664 weighted_recall 0.7124542124542125 [1,0.8,0,0] weighted_recall 0.7051282051282052 [1,0.780952,0,0] weighted_recall 0.6978021978021978 [1,0.766667,0,0] weighted_recall 0.7124542124542125 [1,0.804762,0,0] weighted_recall 0.6758241758241759 [1,0.709524,0,0] weighted_recall 0.6831501831501832 [1,0.728571,0,0] weighted_recall 0.6770642201834862 [1,0.709524,0,0] weighted_recall 0.7174311926605504 [1,0.813397,0,0] weighted_recall 0.7137614678899082 [1,0.803828,0,0] weighted_recall 0.7009174311926606 [1,0.770335,0,0]