10571788 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) 8288070 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 "median" 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 0.8155431008956975 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 3 19034 min_samples_split 17 19034 min_weight_fraction_leaf 0.0 19034 random_state 60688 19034 splitter "random" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069843 description https://api.openml.org/data/download/22069843/description.xml -1 22069844 predictions https://api.openml.org/data/download/22069844/predictions.arff area_under_roc_curve 0.980559730167483 [0.974304,0.988031,0.980301,0.978394] average_cost 0 f_measure 0.9290197477716965 [0.922489,0.958622,0.881988,0.889976] kappa 0.8926696708374317 kb_relative_information_score 0.8919747056251562 mean_absolute_error 0.04262812883597339 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9290689149560117 [0.931066,0.955651,0.865854,0.881356] number_of_instances 5456 [2205,2097,328,826] precision 0.9291035866942384 [0.914069,0.961612,0.898734,0.898765] predictive_accuracy 0.9290689149560117 prior_entropy 1.7146330399083418 relative_absolute_error 0.1286932945331918 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.1633531259715894 root_relative_squared_error 0.4014147165634619 total_cost 0 unweighted_recall 0.908481570069255 [0.931066,0.955651,0.865854,0.881356] area_under_roc_curve 0.9794695785875285 [0.973282,0.986062,0.998671,0.971536] area_under_roc_curve 0.9796188731530984 [0.973241,0.992737,0.950942,0.974756] area_under_roc_curve 0.9879396358818877 [0.982885,0.99324,0.980418,0.990918] area_under_roc_curve 0.9828298594830621 [0.976213,0.987961,0.962756,0.995368] area_under_roc_curve 0.9862827309440425 [0.979978,0.992616,0.995333,0.983372] area_under_roc_curve 0.9732328569186995 [0.970754,0.978508,0.953039,0.974485] area_under_roc_curve 0.9743149681478991 [0.969168,0.982381,0.994518,0.959761] area_under_roc_curve 0.9850248052404821 [0.975392,0.992253,0.997624,0.987613] area_under_roc_curve 0.9753610329688807 [0.965784,0.983061,0.984286,0.977954] area_under_roc_curve 0.9807997968356612 [0.976049,0.990986,0.983221,0.966668] 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 0.9340429278642413 [0.923077,0.945368,0.969697,0.920245] f_measure 0.9245713177004925 [0.9217,0.95962,0.866667,0.865854] f_measure 0.917058216510825 [0.90991,0.957346,0.806452,0.878049] f_measure 0.9262781590819317 [0.929385,0.950119,0.761905,0.923077] f_measure 0.9307213163074597 [0.922374,0.969121,0.833333,0.89441] f_measure 0.9307258601210162 [0.923414,0.95098,0.935484,0.89697] f_measure 0.9285216727850797 [0.924107,0.956731,0.865672,0.893082] f_measure 0.9341924047329897 [0.922018,0.968825,0.90625,0.890173] f_measure 0.9318940675528198 [0.922395,0.964029,0.96875,0.860759] f_measure 0.9319183535703465 [0.926503,0.964029,0.90625,0.875] kappa 0.9003417260715698 kappa 0.8859283039058321 kappa 0.8750483126182389 kappa 0.8894166016871058 kappa 0.8952570866042355 kappa 0.8944836319437734 kappa 0.8916539655515173 kappa 0.9006803547564087 kappa 0.896837333988172 kappa 0.896983846413209 kb_relative_information_score 0.9006124090010083 kb_relative_information_score 0.875356719556181 kb_relative_information_score 0.8856091594424643 kb_relative_information_score 0.8912443942595871 kb_relative_information_score 0.910845680640686 kb_relative_information_score 0.8726362138724556 kb_relative_information_score 0.892198485596942 kb_relative_information_score 0.9001144175973107 kb_relative_information_score 0.8947360387454312 kb_relative_information_score 0.8964398359797464 mean_absolute_error 0.0404336582221198 mean_absolute_error 0.04719105934765275 mean_absolute_error 0.04488820601457967 mean_absolute_error 0.04329125036542619 mean_absolute_error 0.0355757680963725 mean_absolute_error 0.05081534892661268 mean_absolute_error 0.0419725254358282 mean_absolute_error 0.04098259411332807 mean_absolute_error 0.04150131214351396 mean_absolute_error 0.03961777391823265 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 0.9340344285052026 [0.923077,0.943128,0.969697,0.925926] precision 0.9253899444731135 [0.911504,0.957346,0.962963,0.865854] precision 0.9170572351746252 [0.901786,0.95283,0.862069,0.888889] precision 0.9261221782384226 [0.931507,0.947867,0.8,0.906977] precision 0.9320263486531585 [0.926606,0.966825,0.769231,0.923077] precision 0.9331959591298893 [0.890295,0.979798,1,0.902439] precision 0.9296416131626831 [0.907895,0.966019,0.828571,0.934211] precision 0.9350303986841217 [0.934884,0.971154,0.90625,0.855556] precision 0.9324690582966884 [0.904348,0.966346,1,0.894737] precision 0.9321854909600816 [0.912281,0.966346,0.935484,0.897436] predictive_accuracy 0.934065934065934 predictive_accuracy 0.924908424908425 predictive_accuracy 0.9175824175824175 predictive_accuracy 0.9267399267399267 predictive_accuracy 0.9304029304029303 predictive_accuracy 0.9304029304029303 predictive_accuracy 0.928440366972477 predictive_accuracy 0.9339449541284404 predictive_accuracy 0.9321100917431192 predictive_accuracy 0.9321100917431192 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 0.12210316290755616 relative_absolute_error 0.14250943052573745 relative_absolute_error 0.13546057090117578 relative_absolute_error 0.13064138690732388 relative_absolute_error 0.10735812999559859 relative_absolute_error 0.1533470991000543 relative_absolute_error 0.1267590370184921 relative_absolute_error 0.12377618053991803 relative_absolute_error 0.1253111504600454 relative_absolute_error 0.11962390035264463 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 0.15726703011115203 root_mean_squared_error 0.17113490374576662 root_mean_squared_error 0.16496827376222262 root_mean_squared_error 0.16315946633901934 root_mean_squared_error 0.15131418025640728 root_mean_squared_error 0.17262748192559493 root_mean_squared_error 0.1671750407334941 root_mean_squared_error 0.15461074855691223 root_mean_squared_error 0.1691786197870586 root_mean_squared_error 0.16067479541679308 root_relative_squared_error 0.3865696774428868 root_relative_squared_error 0.4206575560908319 root_relative_squared_error 0.4052166611238182 root_relative_squared_error 0.40077363163741614 root_relative_squared_error 0.3716776899330685 root_relative_squared_error 0.4240302104689939 root_relative_squared_error 0.41095238172034726 root_relative_squared_error 0.3800874766254621 root_relative_squared_error 0.4157952945665131 root_relative_squared_error 0.3948951940489245 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 0.9387567716836009 [0.923077,0.947619,0.969697,0.914634] unweighted_recall 0.8869409762881785 [0.932127,0.961905,0.787879,0.865854] unweighted_recall 0.8762830542951026 [0.918182,0.961905,0.757576,0.86747] unweighted_recall 0.8866713607677463 [0.927273,0.952381,0.727273,0.939759] unweighted_recall 0.9165427945548428 [0.918182,0.971429,0.909091,0.86747] unweighted_recall 0.9133136441871382 [0.959091,0.92381,0.878788,0.891566] unweighted_recall 0.9125499563187816 [0.940909,0.947619,0.90625,0.855422] unweighted_recall 0.9274925707126065 [0.909502,0.966507,0.90625,0.927711] unweighted_recall 0.9178902976758447 [0.941176,0.961722,0.939394,0.829268] unweighted_recall 0.9088363434999394 [0.941176,0.961722,0.878788,0.853659] usercpu_time_millis 59.60934499995574 usercpu_time_millis 59.476501999995435 usercpu_time_millis 53.34808399999247 usercpu_time_millis 54.16670099998555 usercpu_time_millis 56.10382100002198 usercpu_time_millis 56.25247300002911 usercpu_time_millis 57.45221199998696 usercpu_time_millis 54.76518400001851 usercpu_time_millis 55.34601100004011 usercpu_time_millis 50.19912799997428 usercpu_time_millis_testing 5.930060999958187 usercpu_time_millis_testing 5.776233999995384 usercpu_time_millis_testing 5.506754999998975 usercpu_time_millis_testing 6.503641999984211 usercpu_time_millis_testing 5.95442799999546 usercpu_time_millis_testing 5.719903999988674 usercpu_time_millis_testing 6.572932999972636 usercpu_time_millis_testing 6.469271000014487 usercpu_time_millis_testing 6.132162000028529 usercpu_time_millis_testing 3.8247879999744328 usercpu_time_millis_training 53.67928399999755 usercpu_time_millis_training 53.70026800000005 usercpu_time_millis_training 47.84132899999349 usercpu_time_millis_training 47.66305900000134 usercpu_time_millis_training 50.14939300002652 usercpu_time_millis_training 50.53256900004044 usercpu_time_millis_training 50.87927900001432 usercpu_time_millis_training 48.29591300000402 usercpu_time_millis_training 49.21384900001158 usercpu_time_millis_training 46.37433999999985 wall_clock_time_millis 59.62014198303223 wall_clock_time_millis 59.61418151855469 wall_clock_time_millis 53.50518226623535 wall_clock_time_millis 56.95772171020508 wall_clock_time_millis 56.25319480895996 wall_clock_time_millis 56.43057823181152 wall_clock_time_millis 57.82723426818848 wall_clock_time_millis 58.30049514770508 wall_clock_time_millis 55.51481246948242 wall_clock_time_millis 51.58400535583496 wall_clock_time_millis_testing 5.934715270996094 wall_clock_time_millis_testing 5.783557891845703 wall_clock_time_millis_testing 5.581140518188477 wall_clock_time_millis_testing 7.169961929321289 wall_clock_time_millis_testing 5.960226058959961 wall_clock_time_millis_testing 5.726099014282227 wall_clock_time_millis_testing 6.580591201782227 wall_clock_time_millis_testing 8.634328842163086 wall_clock_time_millis_testing 6.139516830444336 wall_clock_time_millis_testing 3.831148147583008 wall_clock_time_millis_training 53.68542671203613 wall_clock_time_millis_training 53.830623626708984 wall_clock_time_millis_training 47.924041748046875 wall_clock_time_millis_training 49.78775978088379 wall_clock_time_millis_training 50.29296875 wall_clock_time_millis_training 50.7044792175293 wall_clock_time_millis_training 51.24664306640625 wall_clock_time_millis_training 49.66616630554199 wall_clock_time_millis_training 49.375295639038086 wall_clock_time_millis_training 47.75285720825195 weighted_recall 0.9340659340659341 [0.923077,0.947619,0.969697,0.914634] weighted_recall 0.924908424908425 [0.932127,0.961905,0.787879,0.865854] weighted_recall 0.9175824175824175 [0.918182,0.961905,0.757576,0.86747] weighted_recall 0.9267399267399268 [0.927273,0.952381,0.727273,0.939759] weighted_recall 0.9304029304029304 [0.918182,0.971429,0.909091,0.86747] weighted_recall 0.9304029304029304 [0.959091,0.92381,0.878788,0.891566] weighted_recall 0.9284403669724771 [0.940909,0.947619,0.90625,0.855422] weighted_recall 0.9339449541284404 [0.909502,0.966507,0.90625,0.927711] weighted_recall 0.9321100917431193 [0.941176,0.961722,0.939394,0.829268] weighted_recall 0.9321100917431193 [0.941176,0.961722,0.878788,0.853659]