10571777 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) 8288059 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 0.4452718347412745 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 3 19034 min_samples_split 2 19034 min_weight_fraction_leaf 0.0 19034 random_state 39680 19034 splitter "best" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069821 description https://api.openml.org/data/download/22069821/description.xml -1 22069822 predictions https://api.openml.org/data/download/22069822/predictions.arff area_under_roc_curve 0.9957560782346926 [0.994936,0.997495,0.99073,0.995528] average_cost 0 f_measure 0.991207028268385 [0.991608,0.994269,0.983155,0.98556] kappa 0.9867238178675791 kb_relative_information_score 0.9861027739682703 mean_absolute_error 0.005093780547409583 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9912023460410557 [0.991383,0.992847,0.978659,0.991525] number_of_instances 5456 [2205,2097,328,826] precision 0.9912266191847681 [0.991833,0.995696,0.987692,0.979665] predictive_accuracy 0.9912023460410557 prior_entropy 1.7146330399083418 relative_absolute_error 0.015378000821889835 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.06277979892045427 root_relative_squared_error 0.1542715209132161 total_cost 0 unweighted_recall 0.988603526111556 [0.991383,0.992847,0.978659,0.991525] area_under_roc_curve 0.9919879457938382 [0.991646,0.993148,0.984848,0.992812] area_under_roc_curve 0.9938321700238509 [0.993039,0.998484,0.954221,1] area_under_roc_curve 0.9965513329254408 [0.996173,0.997598,0.983874,0.999948] area_under_roc_curve 0.9962159760172297 [0.996145,0.997484,0.98473,0.997762] area_under_roc_curve 0.9962421606814053 [0.995301,0.99601,0.99997,0.99784] area_under_roc_curve 0.9927742418508496 [0.990784,0.997024,1,0.984426] area_under_roc_curve 0.9947059713758332 [0.992308,0.997576,1,0.991759] area_under_roc_curve 0.9989177489177489 [1,0.997608,1,0.998918] area_under_roc_curve 0.9989047970963546 [0.99771,1,1,0.998894] area_under_roc_curve 0.9973615872198114 [0.996166,1,1,0.992796] 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 0.9890142607422957 [0.990909,0.990521,0.984615,0.981818] f_measure 0.9871016768376387 [0.98427,0.99284,0.9375,1] f_measure 0.9945087924808674 [0.995455,0.997613,0.969697,0.994012] f_measure 0.9853691826291926 [0.99095,0.985577,0.955224,0.982036] f_measure 0.9871966401707916 [0.986364,0.990431,0.984615,0.982249] f_measure 0.987195118954083 [0.988558,0.995261,1,0.958084] f_measure 0.9908437913416025 [0.988662,0.995215,1,0.982036] f_measure 0.9981684311398324 [1,0.997602,1,0.994012] f_measure 0.9963296847080868 [0.995455,0.997613,1,0.993939] f_measure 0.9963302752293578 [0.995475,1,1,0.987805] kappa 0.9833987888615806 kappa 0.98059652240132 kappa 0.9917174424190327 kappa 0.9779306999727166 kappa 0.9806815539673073 kappa 0.9806769635228394 kappa 0.9861484580310987 kappa 0.9972295085300638 kappa 0.9944625357522059 kappa 0.9944582846103006 kb_relative_information_score 0.9829770532644407 kb_relative_information_score 0.9777221549324367 kb_relative_information_score 0.9886723373305923 kb_relative_information_score 0.9806022614760082 kb_relative_information_score 0.9835087282767913 kb_relative_information_score 0.9786930356055469 kb_relative_information_score 0.985460475033435 kb_relative_information_score 0.9971443517483186 kb_relative_information_score 0.9949770643953997 kb_relative_information_score 0.9913408174062086 mean_absolute_error 0.0057997557997558 mean_absolute_error 0.006471306471306471 mean_absolute_error 0.003968253968253969 mean_absolute_error 0.00702075702075702 mean_absolute_error 0.006715506715506716 mean_absolute_error 0.008348595848595848 mean_absolute_error 0.005810397553516819 mean_absolute_error 0.0012232415902140674 mean_absolute_error 0.0021406727828746177 mean_absolute_error 0.003425076452599389 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 0.9890902304986141 [0.995434,0.985849,1,0.975904] precision 0.9871752078162762 [0.977679,0.995215,0.967742,1] precision 0.9945272980987268 [0.995455,1,0.969697,0.988095] precision 0.9855132648434436 [0.986486,0.995146,0.941176,0.97619] precision 0.9873535453812735 [0.986364,0.995192,1,0.965116] precision 0.9872759378889281 [0.995392,0.990566,1,0.952381] precision 0.9908942829072349 [0.986425,1,1,0.97619] precision 0.9981869812145042 [1,1,1,0.988095] precision 0.9963611194450147 [1,0.995238,1,0.987952] precision 0.9963302752293578 [0.995475,1,1,0.987805] predictive_accuracy 0.989010989010989 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9945054945054944 predictive_accuracy 0.9853479853479854 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9908256880733946 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9963302752293578 predictive_accuracy 0.9963302752293578 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 0.017514332325592363 relative_absolute_error 0.019542307647503053 relative_absolute_error 0.011975126558765693 relative_absolute_error 0.021186762373200833 relative_absolute_error 0.02026559879175732 relative_absolute_error 0.025193823952480123 relative_absolute_error 0.01754767889067006 relative_absolute_error 0.003694450661068156 relative_absolute_error 0.006463655131020932 relative_absolute_error 0.010341848209633494 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 0.07365156006190432 root_mean_squared_error 0.07066749602111988 root_mean_squared_error 0.054612726150137 root_mean_squared_error 0.07203648512563053 root_mean_squared_error 0.06988565578146122 root_mean_squared_error 0.08001481598660823 root_mean_squared_error 0.06772854614785964 root_mean_squared_error 0.03192754284070505 root_mean_squared_error 0.039103094350288754 root_mean_squared_error 0.04888147474130472 root_relative_squared_error 0.18103896154313404 root_relative_squared_error 0.17370399328628033 root_relative_squared_error 0.1341469243796844 root_relative_squared_error 0.1769454411808735 root_relative_squared_error 0.17166229269653144 root_relative_squared_error 0.1965428614550671 root_relative_squared_error 0.16649140462475084 root_relative_squared_error 0.07848910445387264 root_relative_squared_error 0.0961048308249894 root_relative_squared_error 0.12013744534911446 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 0.9847913205875903 [0.986425,0.995238,0.969697,0.987805] unweighted_recall 0.9726293314528609 [0.99095,0.990476,0.909091,1] unweighted_recall 0.9900974025974026 [0.995455,0.995238,0.969697,1] unweighted_recall 0.9823234496427267 [0.995455,0.97619,0.969697,0.987952] unweighted_recall 0.985443722943723 [0.986364,0.985714,0.969697,1] unweighted_recall 0.9864184008762322 [0.981818,1,1,0.963855] unweighted_recall 0.9923342721535493 [0.990909,0.990476,1,0.987952] unweighted_recall 0.9988038277511961 [1,0.995215,1,1] unweighted_recall 0.997737556561086 [0.99095,1,1,1] unweighted_recall 0.9958199977927381 [0.995475,1,1,0.987805] usercpu_time_millis 66.60270499997978 usercpu_time_millis 68.04593999999042 usercpu_time_millis 70.29973099997733 usercpu_time_millis 66.97518900000432 usercpu_time_millis 75.77453400000422 usercpu_time_millis 66.51274400007878 usercpu_time_millis 73.24115099999062 usercpu_time_millis 68.55372500001522 usercpu_time_millis 66.36454400000957 usercpu_time_millis 69.01328500003956 usercpu_time_millis_testing 5.496173999972598 usercpu_time_millis_testing 6.303494999997383 usercpu_time_millis_testing 5.876403999991453 usercpu_time_millis_testing 6.802182000001267 usercpu_time_millis_testing 5.828585000017483 usercpu_time_millis_testing 5.491846000040823 usercpu_time_millis_testing 6.184216999997716 usercpu_time_millis_testing 6.019302000026983 usercpu_time_millis_testing 5.4483080000409245 usercpu_time_millis_testing 4.840270000045166 usercpu_time_millis_training 61.10653100000718 usercpu_time_millis_training 61.74244499999304 usercpu_time_millis_training 64.42332699998587 usercpu_time_millis_training 60.173007000003054 usercpu_time_millis_training 69.94594899998674 usercpu_time_millis_training 61.02089800003796 usercpu_time_millis_training 67.0569339999929 usercpu_time_millis_training 62.53442299998824 usercpu_time_millis_training 60.91623599996865 usercpu_time_millis_training 64.1730149999944 wall_clock_time_millis 66.71857833862305 wall_clock_time_millis 68.57633590698242 wall_clock_time_millis 70.5413818359375 wall_clock_time_millis 69.53954696655273 wall_clock_time_millis 77.95262336730957 wall_clock_time_millis 66.6358470916748 wall_clock_time_millis 74.65672492980957 wall_clock_time_millis 68.9544677734375 wall_clock_time_millis 66.46227836608887 wall_clock_time_millis 70.72949409484863 wall_clock_time_millis_testing 5.503416061401367 wall_clock_time_millis_testing 6.309747695922852 wall_clock_time_millis_testing 5.883693695068359 wall_clock_time_millis_testing 9.244918823242188 wall_clock_time_millis_testing 5.836248397827148 wall_clock_time_millis_testing 5.496978759765625 wall_clock_time_millis_testing 6.21485710144043 wall_clock_time_millis_testing 6.025552749633789 wall_clock_time_millis_testing 5.45501708984375 wall_clock_time_millis_testing 6.264448165893555 wall_clock_time_millis_training 61.21516227722168 wall_clock_time_millis_training 62.26658821105957 wall_clock_time_millis_training 64.65768814086914 wall_clock_time_millis_training 60.29462814331055 wall_clock_time_millis_training 72.11637496948242 wall_clock_time_millis_training 61.13886833190918 wall_clock_time_millis_training 68.44186782836914 wall_clock_time_millis_training 62.92891502380371 wall_clock_time_millis_training 61.00726127624512 wall_clock_time_millis_training 64.46504592895508 weighted_recall 0.989010989010989 [0.986425,0.995238,0.969697,0.987805] weighted_recall 0.9871794871794872 [0.99095,0.990476,0.909091,1] weighted_recall 0.9945054945054945 [0.995455,0.995238,0.969697,1] weighted_recall 0.9853479853479854 [0.995455,0.97619,0.969697,0.987952] weighted_recall 0.9871794871794872 [0.986364,0.985714,0.969697,1] weighted_recall 0.9871794871794872 [0.981818,1,1,0.963855] weighted_recall 0.9908256880733946 [0.990909,0.990476,1,0.987952] weighted_recall 0.998165137614679 [1,0.995215,1,1] weighted_recall 0.9963302752293578 [0.99095,1,1,1] weighted_recall 0.9963302752293578 [0.995475,1,1,0.987805]