10571858 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) 8288140 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 0.7401279454177593 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 18 19034 min_samples_split 8 19034 min_weight_fraction_leaf 0.0 19034 random_state 38566 19034 splitter "best" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069983 description https://api.openml.org/data/download/22069983/description.xml -1 22069984 predictions https://api.openml.org/data/download/22069984/predictions.arff area_under_roc_curve 0.9976868407607755 [0.997932,0.997867,0.995281,0.997529] average_cost 0 f_measure 0.9888178549256182 [0.991182,0.990918,0.983103,0.979444] kappa 0.9831151591743365 kb_relative_information_score 0.980672391924839 mean_absolute_error 0.007394332242954641 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9888196480938416 [0.994104,0.988555,0.97561,0.98063] number_of_instances 5456 [2205,2097,328,826] precision 0.9888347408791642 [0.988278,0.993292,0.990712,0.978261] predictive_accuracy 0.9888196480938416 prior_entropy 1.7146330399083418 relative_absolute_error 0.02232331099684097 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.06829196483636954 root_relative_squared_error 0.16781680512879174 total_cost 0 unweighted_recall 0.984724670780748 [0.994104,0.988555,0.97561,0.98063] area_under_roc_curve 0.9932675123686139 [0.995433,0.99042,0.998966,0.992431] area_under_roc_curve 0.9956195551472538 [0.995837,0.995911,0.984524,0.998752] area_under_roc_curve 0.996767123814148 [0.995943,0.998306,0.98473,0.999844] area_under_roc_curve 0.9966421716362125 [0.996772,0.999653,0.999882,0.987392] area_under_roc_curve 0.9998855061093034 [1,0.999738,0.99997,0.999922] area_under_roc_curve 0.9998268372491528 [0.99977,0.999929,0.99997,0.999662] area_under_roc_curve 0.9982902539060283 [0.998378,0.997278,1,0.999961] area_under_roc_curve 0.9988483752627484 [0.997661,0.999957,1,0.998774] area_under_roc_curve 0.9978184316246399 [0.999735,0.997501,0.984848,0.998683] area_under_roc_curve 0.999914189695755 [0.999916,0.999922,1,0.999855] 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 0.9854098334702833 [0.993166,0.983294,0.985075,0.97006] f_measure 0.9869895419689075 [0.988764,0.99284,0.935484,0.987952] f_measure 0.9853330855119788 [0.984199,0.990431,0.96875,0.982036] f_measure 0.9834893680886769 [0.988713,0.98801,0.985075,0.957576] f_measure 0.9945212016145888 [1,0.992806,0.985075,0.988095] f_measure 0.9908368070414605 [0.990868,0.995261,0.984615,0.982036] f_measure 0.9889870998269958 [0.988764,0.987952,1,0.987952] f_measure 0.9926504386113328 [0.995475,0.99284,1,0.981818] f_measure 0.985263781953052 [0.986486,0.990476,0.984615,0.968944] f_measure 0.9944810253678756 [0.995495,0.995215,1,0.987654] kappa 0.9779344904928369 kappa 0.9805868638794781 kappa 0.9778702104052569 kappa 0.9751388762407794 kappa 0.991730154643079 kappa 0.9861847698473747 kappa 0.9833640276350465 kappa 0.9889038195292776 kappa 0.9777674660520425 kappa 0.9916756613648863 kb_relative_information_score 0.9793755359252956 kb_relative_information_score 0.96867214404601 kb_relative_information_score 0.97690381983438 kb_relative_information_score 0.9739776407261015 kb_relative_information_score 0.9886177838725433 kb_relative_information_score 0.9815217761187456 kb_relative_information_score 0.9835443953601936 kb_relative_information_score 0.9906138133777954 kb_relative_information_score 0.9750730121433422 kb_relative_information_score 0.9884666405377844 mean_absolute_error 0.008406353994589284 mean_absolute_error 0.010625058701981776 mean_absolute_error 0.008556380266906584 mean_absolute_error 0.00954997383568812 mean_absolute_error 0.005209325804291479 mean_absolute_error 0.007761390656127499 mean_absolute_error 0.006910420802260493 mean_absolute_error 0.004116003102000203 mean_absolute_error 0.008188296528042016 mean_absolute_error 0.004609582059123343 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 0.9856341285133854 [1,0.985646,0.970588,0.952941] precision 0.9873560545553027 [0.982143,0.995215,1,0.97619] precision 0.9854971771303758 [0.977578,0.995192,1,0.97619] precision 0.9835753577004064 [0.982063,0.995169,0.970588,0.963415] precision 0.9946455505279034 [1,1,0.970588,0.976471] precision 0.9909038518981891 [0.995413,0.990566,1,0.97619] precision 0.9891946992864423 [0.977778,1,1,0.987952] precision 0.992655648968023 [0.995475,0.990476,1,0.987805] precision 0.9853694234401373 [0.982063,0.985782,1,0.987342] precision 0.9945283251738182 [0.991031,0.995215,1,1] predictive_accuracy 0.9853479853479854 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9853479853479854 predictive_accuracy 0.9835164835164835 predictive_accuracy 0.9945054945054944 predictive_accuracy 0.9908424908424908 predictive_accuracy 0.9889908256880734 predictive_accuracy 0.9926605504587155 predictive_accuracy 0.9853211009174312 predictive_accuracy 0.9944954128440366 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 0.025385840816609346 relative_absolute_error 0.03208597318757304 relative_absolute_error 0.02582086161844519 relative_absolute_error 0.028819260619447094 relative_absolute_error 0.01572034861964305 relative_absolute_error 0.02342179611554536 relative_absolute_error 0.020869801785607316 relative_absolute_error 0.012431207786584589 relative_absolute_error 0.024724154616814986 relative_absolute_error 0.013918404048798405 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 0.08269107673462701 root_mean_squared_error 0.08280120931084337 root_mean_squared_error 0.07508983015776825 root_mean_squared_error 0.08118312600518376 root_mean_squared_error 0.04920518346030429 root_mean_squared_error 0.06299881119250116 root_mean_squared_error 0.06466758173654816 root_mean_squared_error 0.04857819220615195 root_mean_squared_error 0.0741555280552219 root_mean_squared_error 0.04770914635398809 root_relative_squared_error 0.20325851412160048 root_relative_squared_error 0.20352922511826535 root_relative_squared_error 0.18444546679770926 root_relative_squared_error 0.19941261740321412 root_relative_squared_error 0.1208642104148353 root_relative_squared_error 0.15474592383133154 root_relative_squared_error 0.1589668925344861 root_relative_squared_error 0.11942224371203014 root_relative_squared_error 0.18225423324924742 root_relative_squared_error 0.11725617921899385 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 0.9887956495919193 [0.986425,0.980952,1,0.987805] unweighted_recall 0.9661847955965603 [0.995475,0.990476,0.878788,1] unweighted_recall 0.975992280811558 [0.990909,0.985714,0.939394,0.987952] unweighted_recall 0.9820535388306472 [0.995455,0.980952,1,0.951807] unweighted_recall 0.9964285714285714 [1,0.985714,1,1] unweighted_recall 0.9860031033223804 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usercpu_time_millis_testing 6.105783999998948 usercpu_time_millis_testing 5.471580999994785 usercpu_time_millis_testing 4.725951000011719 usercpu_time_millis_training 91.08679100000927 usercpu_time_millis_training 100.4848720000382 usercpu_time_millis_training 97.09229100002403 usercpu_time_millis_training 91.88655499997367 usercpu_time_millis_training 92.1293760000026 usercpu_time_millis_training 97.05022899998994 usercpu_time_millis_training 91.6698930000166 usercpu_time_millis_training 92.5613599999906 usercpu_time_millis_training 93.11148299997285 usercpu_time_millis_training 91.79675600000792 wall_clock_time_millis 109.17806625366211 wall_clock_time_millis 112.75076866149902 wall_clock_time_millis 105.01360893249512 wall_clock_time_millis 102.9515266418457 wall_clock_time_millis 97.8708267211914 wall_clock_time_millis 102.94032096862793 wall_clock_time_millis 97.97382354736328 wall_clock_time_millis 101.24564170837402 wall_clock_time_millis 98.81091117858887 wall_clock_time_millis 98.06990623474121 wall_clock_time_millis_testing 5.487680435180664 wall_clock_time_millis_testing 8.714437484741211 wall_clock_time_millis_testing 5.471229553222656 wall_clock_time_millis_testing 9.194612503051758 wall_clock_time_millis_testing 5.553007125854492 wall_clock_time_millis_testing 5.497932434082031 wall_clock_time_millis_testing 6.192922592163086 wall_clock_time_millis_testing 8.401155471801758 wall_clock_time_millis_testing 5.4779052734375 wall_clock_time_millis_testing 6.08515739440918 wall_clock_time_millis_training 103.69038581848145 wall_clock_time_millis_training 104.03633117675781 wall_clock_time_millis_training 99.54237937927246 wall_clock_time_millis_training 93.75691413879395 wall_clock_time_millis_training 92.31781959533691 wall_clock_time_millis_training 97.4423885345459 wall_clock_time_millis_training 91.7809009552002 wall_clock_time_millis_training 92.84448623657227 wall_clock_time_millis_training 93.33300590515137 wall_clock_time_millis_training 91.98474884033203 weighted_recall 0.9853479853479854 [0.986425,0.980952,1,0.987805] weighted_recall 0.9871794871794872 [0.995475,0.990476,0.878788,1] weighted_recall 0.9853479853479854 [0.990909,0.985714,0.939394,0.987952] weighted_recall 0.9835164835164835 [0.995455,0.980952,1,0.951807] weighted_recall 0.9945054945054945 [1,0.985714,1,1] weighted_recall 0.9908424908424909 [0.986364,1,0.969697,0.987952] weighted_recall 0.9889908256880734 [1,0.97619,1,0.987952] weighted_recall 0.9926605504587156 [0.995475,0.995215,1,0.975904] weighted_recall 0.9853211009174312 [0.99095,0.995215,0.969697,0.95122] weighted_recall 0.9944954128440368 [1,0.995215,1,0.97561]