10571839 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) 8288121 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 "most_frequent" 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 0.5002209004839008 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 19 19034 min_samples_split 5 19034 min_weight_fraction_leaf 0.0 19034 random_state 53314 19034 splitter "best" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069945 description https://api.openml.org/data/download/22069945/description.xml -1 22069946 predictions https://api.openml.org/data/download/22069946/predictions.arff area_under_roc_curve 0.9971529251373371 [0.997143,0.998425,0.989,0.997188] average_cost 0 f_measure 0.9796477100934649 [0.979285,0.986464,0.954407,0.973333] kappa 0.9692915448409178 kb_relative_information_score 0.969001731129001 mean_absolute_error 0.01202188412967023 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9796554252199413 [0.97551,0.990463,0.957317,0.972155] number_of_instances 5456 [2205,2097,328,826] precision 0.9796657004917961 [0.98309,0.982498,0.951515,0.974515] predictive_accuracy 0.9796554252199414 prior_entropy 1.7146330399083418 relative_absolute_error 0.03629377871819569 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.08407094948293813 root_relative_squared_error 0.20659118799957407 total_cost 0 unweighted_recall 0.9738612016256534 [0.97551,0.990463,0.957317,0.972155] area_under_roc_curve 0.9979028899204961 [0.998963,0.998292,0.999705,0.993324] area_under_roc_curve 0.9919563832130145 [0.990832,0.998264,0.939394,0.999987] area_under_roc_curve 0.9997037188081301 [0.999387,0.999936,0.999823,0.999909] area_under_roc_curve 0.9922764541001908 [0.993021,0.997215,0.968722,0.987171] area_under_roc_curve 0.998744005118742 [0.999728,0.997293,0.998257,1] area_under_roc_curve 0.9978432132533248 [0.996919,0.998299,1,0.998283] area_under_roc_curve 0.999601817051906 [0.999734,0.999353,1,0.999726] area_under_roc_curve 0.9983099066241268 [0.997381,0.998398,1,0.999909] area_under_roc_curve 0.9971933874071746 [0.998101,0.99968,0.98476,0.993415] area_under_roc_curve 0.9979923158681162 [0.997856,0.997245,0.999763,0.999552] 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 0.9762767885549826 [0.974478,0.985849,0.942857,0.97006] f_measure 0.9777184395671745 [0.972851,0.985915,0.918033,0.993865] f_measure 0.9854154669473177 [0.981651,0.99284,0.956522,0.988095] f_measure 0.9761505426901383 [0.977376,0.988067,0.923077,0.963855] f_measure 0.9835077538903285 [0.986301,0.988124,0.909091,0.994012] f_measure 0.9760635141353093 [0.974828,0.988235,1,0.939024] f_measure 0.9723969898538033 [0.977578,0.971292,0.969697,0.9625] f_measure 0.9871337497528611 [0.983982,0.990521,1,0.982036] f_measure 0.9797504893491131 [0.981982,0.985714,0.96875,0.962963] f_measure 0.9816923071985778 [0.981818,0.98801,0.955224,0.975904] kappa 0.9642553191489361 kappa 0.9666308460954728 kappa 0.9779908597572344 kappa 0.9640500200059764 kappa 0.9751548398513536 kappa 0.9640451031841715 kappa 0.9583218622862563 kappa 0.9806124730658211 kappa 0.9694226257268186 kappa 0.9723552327232884 kb_relative_information_score 0.9656264149520646 kb_relative_information_score 0.9602707908047935 kb_relative_information_score 0.9778714184340788 kb_relative_information_score 0.9527458491997642 kb_relative_information_score 0.9745734981105454 kb_relative_information_score 0.9638433094216821 kb_relative_information_score 0.9737184512415193 kb_relative_information_score 0.9822286463297177 kb_relative_information_score 0.9679358227401436 kb_relative_information_score 0.97126702140682 mean_absolute_error 0.01434596105648737 mean_absolute_error 0.013107935264132207 mean_absolute_error 0.009657569615155884 mean_absolute_error 0.017749872387496493 mean_absolute_error 0.010081574649243818 mean_absolute_error 0.013653508622248407 mean_absolute_error 0.010636977967336444 mean_absolute_error 0.007255155649651062 mean_absolute_error 0.011065981056323886 mean_absolute_error 0.012652442428962905 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 0.9774122103423919 [1,0.976636,0.891892,0.952941] precision 0.9783272283272283 [0.972851,0.972222,1,1] precision 0.9858154525595185 [0.990741,0.995215,0.916667,0.976471] precision 0.9761574810916915 [0.972973,0.990431,0.9375,0.963855] precision 0.9835307218819235 [0.990826,0.985782,0.909091,0.988095] precision 0.9761212712426707 [0.981567,0.976744,1,0.950617] precision 0.9729944211307845 [0.964602,0.975962,0.941176,1] precision 0.9872950068744099 [0.99537,0.981221,1,0.97619] precision 0.9798766197087533 [0.977578,0.981043,1,0.975] precision 0.9818224577173412 [0.986301,0.990385,0.941176,0.964286] predictive_accuracy 0.9761904761904762 predictive_accuracy 0.978021978021978 predictive_accuracy 0.9853479853479854 predictive_accuracy 0.9761904761904762 predictive_accuracy 0.9835164835164835 predictive_accuracy 0.9761904761904762 predictive_accuracy 0.9724770642201835 predictive_accuracy 0.9871559633027523 predictive_accuracy 0.9798165137614678 predictive_accuracy 0.981651376146789 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 0.04332250152392713 relative_absolute_error 0.03958386219089244 relative_absolute_error 0.029143955834678607 relative_absolute_error 0.05356435599703717 relative_absolute_error 0.030423489348757313 relative_absolute_error 0.04120262841810105 relative_absolute_error 0.03212418290121599 relative_absolute_error 0.021912118424059684 relative_absolute_error 0.03341318010239668 relative_absolute_error 0.0382034214103908 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 0.090409275928449 root_mean_squared_error 0.09175228589946438 root_mean_squared_error 0.07266830222726968 root_mean_squared_error 0.10296882075988033 root_mean_squared_error 0.07363264995776846 root_mean_squared_error 0.09317691351453072 root_mean_squared_error 0.07645861277572523 root_mean_squared_error 0.06861093804032438 root_mean_squared_error 0.08351957588450415 root_mean_squared_error 0.0810148589720721 root_relative_squared_error 0.22223020685775105 root_relative_squared_error 0.22553138785500818 root_relative_squared_error 0.17849739302305723 root_relative_squared_error 0.25292549165129513 root_relative_squared_error 0.18086615010951543 root_relative_squared_error 0.2288733277442293 root_relative_squared_error 0.18795179522826205 root_relative_squared_error 0.16866976295023534 root_relative_squared_error 0.20526853038922893 root_relative_squared_error 0.19911261359713514 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 0.9833173044076918 [0.950226,0.995238,1,0.987805] unweighted_recall 0.9522851013166652 [0.972851,1,0.848485,0.987805] unweighted_recall 0.9908008658008658 [0.972727,0.990476,1,1] unweighted_recall 0.960119699577531 [0.981818,0.985714,0.909091,0.963855] unweighted_recall 0.9703463203463204 [0.981818,0.990476,0.909091,1] unweighted_recall 0.973973165388828 [0.968182,1,1,0.927711] unweighted_recall 0.9713216502373129 [0.990909,0.966667,1,0.927711] unweighted_recall 0.9902006214904868 [0.972851,1,1,0.987952] unweighted_recall 0.9668673532412866 [0.986425,0.990431,0.939394,0.95122] unweighted_recall 0.980130836592741 [0.977376,0.985646,0.969697,0.987805] usercpu_time_millis 119.53529599998092 usercpu_time_millis 120.7726330000014 usercpu_time_millis 120.14347499996347 usercpu_time_millis 125.59778199999982 usercpu_time_millis 124.79803899998387 usercpu_time_millis 118.09681899995894 usercpu_time_millis 125.85274899998922 usercpu_time_millis 120.7441170000152 usercpu_time_millis 125.422723999975 usercpu_time_millis 121.7996830000061 usercpu_time_millis_testing 5.5995970000140005 usercpu_time_millis_testing 5.971334999969713 usercpu_time_millis_testing 5.442012999992585 usercpu_time_millis_testing 6.284624000045369 usercpu_time_millis_testing 5.456218999995599 usercpu_time_millis_testing 5.5354520000037155 usercpu_time_millis_testing 5.923062000022128 usercpu_time_millis_testing 6.059461999996074 usercpu_time_millis_testing 5.463636999991195 usercpu_time_millis_testing 5.889768999963962 usercpu_time_millis_training 113.93569899996692 usercpu_time_millis_training 114.8012980000317 usercpu_time_millis_training 114.70146199997089 usercpu_time_millis_training 119.31315799995446 usercpu_time_millis_training 119.34181999998827 usercpu_time_millis_training 112.56136699995523 usercpu_time_millis_training 119.92968699996709 usercpu_time_millis_training 114.68465500001912 usercpu_time_millis_training 119.95908699998381 usercpu_time_millis_training 115.90991400004214 wall_clock_time_millis 120.18895149230957 wall_clock_time_millis 124.23968315124512 wall_clock_time_millis 120.43571472167969 wall_clock_time_millis 127.4557113647461 wall_clock_time_millis 125.20885467529297 wall_clock_time_millis 118.46351623535156 wall_clock_time_millis 128.1263828277588 wall_clock_time_millis 120.77093124389648 wall_clock_time_millis 129.33969497680664 wall_clock_time_millis 130.17749786376953 wall_clock_time_millis_testing 5.605220794677734 wall_clock_time_millis_testing 5.977869033813477 wall_clock_time_millis_testing 5.4492950439453125 wall_clock_time_millis_testing 7.997751235961914 wall_clock_time_millis_testing 5.5179595947265625 wall_clock_time_millis_testing 5.542516708374023 wall_clock_time_millis_testing 7.817983627319336 wall_clock_time_millis_testing 6.066560745239258 wall_clock_time_millis_testing 5.471944808959961 wall_clock_time_millis_testing 6.6089630126953125 wall_clock_time_millis_training 114.58373069763184 wall_clock_time_millis_training 118.26181411743164 wall_clock_time_millis_training 114.98641967773438 wall_clock_time_millis_training 119.45796012878418 wall_clock_time_millis_training 119.6908950805664 wall_clock_time_millis_training 112.92099952697754 wall_clock_time_millis_training 120.30839920043945 wall_clock_time_millis_training 114.70437049865723 wall_clock_time_millis_training 123.86775016784668 wall_clock_time_millis_training 123.56853485107422 weighted_recall 0.9761904761904762 [0.950226,0.995238,1,0.987805] weighted_recall 0.978021978021978 [0.972851,1,0.848485,0.987805] weighted_recall 0.9853479853479854 [0.972727,0.990476,1,1] weighted_recall 0.9761904761904762 [0.981818,0.985714,0.909091,0.963855] weighted_recall 0.9835164835164835 [0.981818,0.990476,0.909091,1] weighted_recall 0.9761904761904762 [0.968182,1,1,0.927711] weighted_recall 0.9724770642201835 [0.990909,0.966667,1,0.927711] weighted_recall 0.9871559633027523 [0.972851,1,1,0.987952] weighted_recall 0.9798165137614679 [0.986425,0.990431,0.939394,0.95122] weighted_recall 0.981651376146789 [0.977376,0.985646,0.969697,0.987805]