10571870 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) 8288152 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 "gini" 19034 max_depth null 19034 max_features 0.6076888543700262 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 1 19034 min_samples_split 14 19034 min_weight_fraction_leaf 0.0 19034 random_state 25569 19034 splitter "best" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22070007 description https://api.openml.org/data/download/22070007/description.xml -1 22070008 predictions https://api.openml.org/data/download/22070008/predictions.arff area_under_roc_curve 0.9943405902179262 [0.993873,0.997312,0.989229,0.990075] average_cost 0 f_measure 0.9913805760639666 [0.991387,0.995951,0.987692,0.981224] kappa 0.9869874677651445 kb_relative_information_score 0.9858411124774134 mean_absolute_error 0.004724565054935291 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9913856304985337 [0.991837,0.997139,0.978659,0.98063] number_of_instances 5456 [2205,2097,328,826] precision 0.9913870004304416 [0.990938,0.994767,0.996894,0.981818] predictive_accuracy 0.9913856304985338 prior_entropy 1.7146330399083418 relative_absolute_error 0.014263348140275675 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.06481808741300772 root_relative_squared_error 0.1592802955702448 total_cost 0 unweighted_recall 0.9870658952254439 [0.991837,0.997139,0.978659,0.98063] area_under_roc_curve 0.9970072723369425 [0.997724,0.996995,0.984848,1] area_under_roc_curve 0.9881702956636643 [0.986182,0.998512,0.939394,0.986675] area_under_roc_curve 0.9945140642372287 [0.996103,0.994643,1,0.987796] area_under_roc_curve 0.9916078181702758 [0.987786,0.997619,0.999025,0.98358] area_under_roc_curve 0.9944380505000653 [0.995441,0.995514,0.984848,0.99287] area_under_roc_curve 0.9866378029236611 [0.986907,0.994643,0.984819,0.966393] area_under_roc_curve 0.9984587998609632 [0.998462,0.997612,1,1] area_under_roc_curve 0.9989177489177489 [0.997738,1,1,0.998918] area_under_roc_curve 0.997837442336199 [0.997738,0.997601,1,0.99784] area_under_roc_curve 0.9958260219916352 [0.994637,1,1,0.986712] 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 0.9963295114321474 [0.997732,0.995261,0.984615,1] f_measure 0.9833378982949509 [0.979775,0.997625,0.935484,0.97561] f_measure 0.990832366366808 [0.990909,0.992874,1,0.981818] f_measure 0.9835597730428651 [0.981818,0.995215,0.985075,0.958084] f_measure 0.9926710252383415 [0.995434,0.992908,0.984615,0.987952] f_measure 0.9816212265519824 [0.9819,0.992874,0.984615,0.95122] f_measure 0.9981650283842671 [0.997732,0.997613,1,1] f_measure 0.9981685508717945 [0.997732,1,1,0.994012] f_measure 0.9963481015874416 [0.997732,0.997602,1,0.987952] f_measure 0.9926236476402062 [0.993228,0.997613,1,0.975309] kappa 0.9944623623197225 kappa 0.9750077560382666 kappa 0.986177985023619 kappa 0.9751745460791544 kappa 0.9889407082200313 kappa 0.9723105478555886 kappa 0.9972279020559304 kappa 0.9972296775242976 kappa 0.9944657690042448 kappa 0.9889015598908484 kb_relative_information_score 0.9919178269344675 kb_relative_information_score 0.9693807971359734 kb_relative_information_score 0.9851920933087644 kb_relative_information_score 0.9784432153391773 kb_relative_information_score 0.9867893597217916 kb_relative_information_score 0.9693755000096901 kb_relative_information_score 0.9942505557133282 kb_relative_information_score 0.997798424528138 kb_relative_information_score 0.9953698482157847 kb_relative_information_score 0.9900076703416171 mean_absolute_error 0.0025863025863025863 mean_absolute_error 0.008241758241758242 mean_absolute_error 0.005562955562955563 mean_absolute_error 0.00782967032967033 mean_absolute_error 0.004222629222629223 mean_absolute_error 0.009979336902413826 mean_absolute_error 0.002522655733664908 mean_absolute_error 0.0009174311926605505 mean_absolute_error 0.0019495412844036698 mean_absolute_error 0.003414882772680938 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 0.9963715529753265 [1,0.990566,1,1] precision 0.9836723378742674 [0.973214,0.995261,1,0.97561] precision 0.9908375156612355 [0.990909,0.990521,1,0.987805] precision 0.9836575655903387 [0.981818,1,0.970588,0.952381] precision 0.9927513800753238 [1,0.985915,1,0.987952] precision 0.981649175172082 [0.977477,0.990521,1,0.962963] precision 0.9981734401594088 [0.995475,1,1,1] precision 0.9981869812145042 [1,1,1,0.988095] precision 0.9964176496286588 [1,1,1,0.97619] precision 0.9926399466307724 [0.990991,0.995238,1,0.9875] predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9835164835164835 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9835164835164835 predictive_accuracy 0.9926739926739927 predictive_accuracy 0.9816849816849818 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9981651376146788 predictive_accuracy 0.9963302752293578 predictive_accuracy 0.9926605504587155 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 0.007810219008350276 relative_absolute_error 0.024888788041631252 relative_absolute_error 0.016787508420609987 relative_absolute_error 0.02362784586402615 relative_absolute_error 0.012742762876635285 relative_absolute_error 0.030114963239499516 relative_absolute_error 0.007618541133948134 relative_absolute_error 0.002770837995801117 relative_absolute_error 0.005886543065751207 relative_absolute_error 0.010311068899485774 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 0.04487850483135972 root_mean_squared_error 0.08915558282417287 root_mean_squared_error 0.06520521478032502 root_mean_squared_error 0.08666860381041619 root_mean_squared_error 0.062131482636636724 root_mean_squared_error 0.09564688999380654 root_mean_squared_error 0.038316657866267756 root_mean_squared_error 0.030289126640769135 root_mean_squared_error 0.04300229351681631 root_mean_squared_error 0.05501778458124965 root_relative_squared_error 0.11031345301374483 root_relative_squared_error 0.21914857087473624 root_relative_squared_error 0.16016558104516815 root_relative_squared_error 0.21288676579679522 root_relative_squared_error 0.15261547793716343 root_relative_squared_error 0.23494040718417736 root_relative_squared_error 0.09419062642735508 root_relative_squared_error 0.07446130247433116 root_relative_squared_error 0.1056880078721865 root_relative_squared_error 0.13521883542466154 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 0.9912930207047854 [0.995475,1,0.969697,1] unweighted_recall 0.9602057435629889 [0.986425,1,0.878788,0.97561] unweighted_recall 0.9905127001512545 [0.990909,0.995238,1,0.975904] unweighted_recall 0.9840374484952799 [0.981818,0.990476,1,0.963855] unweighted_recall 0.9871394669587441 [0.990909,1,0.969697,0.987952] unweighted_recall 0.9727644343608199 [0.986364,0.995238,0.969697,0.939759] unweighted_recall 0.9988095238095238 [1,0.995238,1,1] unweighted_recall 0.998868778280543 [0.995475,1,1,1] unweighted_recall 0.9976726060317391 [0.995475,0.995215,1,1] unweighted_recall 0.9897224368171283 [0.995475,1,1,0.963415] usercpu_time_millis 105.00780299997814 usercpu_time_millis 92.9459379999571 usercpu_time_millis 101.92770799994832 usercpu_time_millis 100.69785499996442 usercpu_time_millis 104.61955400000988 usercpu_time_millis 105.79104600003575 usercpu_time_millis 96.59302000000025 usercpu_time_millis 102.0080820000544 usercpu_time_millis 93.51279200001272 usercpu_time_millis 96.28051400000004 usercpu_time_millis_testing 5.992758999980197 usercpu_time_millis_testing 6.098678000000746 usercpu_time_millis_testing 5.5545879999954195 usercpu_time_millis_testing 6.159700000011981 usercpu_time_millis_testing 5.57570000000851 usercpu_time_millis_testing 5.741109000041433 usercpu_time_millis_testing 6.292260000009264 usercpu_time_millis_testing 6.065358000000742 usercpu_time_millis_testing 5.859595000003992 usercpu_time_millis_testing 3.7610599999879923 usercpu_time_millis_training 99.01504399999794 usercpu_time_millis_training 86.84725999995635 usercpu_time_millis_training 96.3731199999529 usercpu_time_millis_training 94.53815499995244 usercpu_time_millis_training 99.04385400000137 usercpu_time_millis_training 100.04993699999432 usercpu_time_millis_training 90.30075999999099 usercpu_time_millis_training 95.94272400005366 usercpu_time_millis_training 87.65319700000873 usercpu_time_millis_training 92.51945400001205 wall_clock_time_millis 105.33022880554199 wall_clock_time_millis 93.10054779052734 wall_clock_time_millis 102.27680206298828 wall_clock_time_millis 102.94747352600098 wall_clock_time_millis 104.85100746154785 wall_clock_time_millis 109.51685905456543 wall_clock_time_millis 96.82440757751465 wall_clock_time_millis 105.14044761657715 wall_clock_time_millis 93.87969970703125 wall_clock_time_millis 101.9289493560791 wall_clock_time_millis_testing 6.1206817626953125 wall_clock_time_millis_testing 6.104707717895508 wall_clock_time_millis_testing 5.561590194702148 wall_clock_time_millis_testing 8.272886276245117 wall_clock_time_millis_testing 5.583524703979492 wall_clock_time_millis_testing 5.747795104980469 wall_clock_time_millis_testing 6.305932998657227 wall_clock_time_millis_testing 6.072044372558594 wall_clock_time_millis_testing 5.881309509277344 wall_clock_time_millis_testing 3.8139820098876953 wall_clock_time_millis_training 99.20954704284668 wall_clock_time_millis_training 86.99584007263184 wall_clock_time_millis_training 96.71521186828613 wall_clock_time_millis_training 94.67458724975586 wall_clock_time_millis_training 99.26748275756836 wall_clock_time_millis_training 103.76906394958496 wall_clock_time_millis_training 90.51847457885742 wall_clock_time_millis_training 99.06840324401855 wall_clock_time_millis_training 87.9983901977539 wall_clock_time_millis_training 98.1149673461914 weighted_recall 0.9963369963369964 [0.995475,1,0.969697,1] weighted_recall 0.9835164835164835 [0.986425,1,0.878788,0.97561] weighted_recall 0.9908424908424909 [0.990909,0.995238,1,0.975904] weighted_recall 0.9835164835164835 [0.981818,0.990476,1,0.963855] weighted_recall 0.9926739926739927 [0.990909,1,0.969697,0.987952] weighted_recall 0.9816849816849816 [0.986364,0.995238,0.969697,0.939759] weighted_recall 0.998165137614679 [1,0.995238,1,1] weighted_recall 0.998165137614679 [0.995475,1,1,1] weighted_recall 0.9963302752293578 [0.995475,0.995215,1,1] weighted_recall 0.9926605504587156 [0.995475,1,1,0.963415]