10571812 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) 8288094 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 "entropy" 19034 max_depth null 19034 max_features 0.7524485512118484 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 13 19034 min_samples_split 9 19034 min_weight_fraction_leaf 0.0 19034 random_state 29042 19034 splitter "random" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069891 description https://api.openml.org/data/download/22069891/description.xml -1 22069892 predictions https://api.openml.org/data/download/22069892/predictions.arff area_under_roc_curve 0.9816531402600649 [0.974632,0.99084,0.98495,0.975765] average_cost 0 f_measure 0.9133260085487614 [0.906757,0.947318,0.86385,0.864212] kappa 0.8689452867515038 kb_relative_information_score 0.8580771782080049 mean_absolute_error 0.0569576446585408 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9133064516129032 [0.912925,0.943252,0.841463,0.866828] number_of_instances 5456 [2205,2097,328,826] precision 0.9134685045898826 [0.900671,0.951419,0.88746,0.861613] predictive_accuracy 0.9133064516129032 prior_entropy 1.7146330399083418 relative_absolute_error 0.17195375776786878 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.1787350986766132 root_relative_squared_error 0.43921350478284327 total_cost 0 unweighted_recall 0.8911172342524802 [0.912925,0.943252,0.841463,0.866828] area_under_roc_curve 0.981764583412154 [0.977612,0.988776,0.981688,0.975032] area_under_roc_curve 0.9844606254132846 [0.975252,0.991858,0.982515,0.991116] area_under_roc_curve 0.9758959480740276 [0.965937,0.991582,0.978351,0.961631] area_under_roc_curve 0.9740711522827893 [0.96639,0.984708,0.949347,0.977348] area_under_roc_curve 0.9857742793568055 [0.978318,0.992113,0.996308,0.985311] area_under_roc_curve 0.9855424330497281 [0.981156,0.993672,0.996131,0.972391] area_under_roc_curve 0.9859380812571065 [0.97893,0.989744,0.996985,0.990625] area_under_roc_curve 0.9790759777923789 [0.970616,0.990345,0.993604,0.967624] area_under_roc_curve 0.9851190531477664 [0.978318,0.995614,0.994141,0.973068] area_under_roc_curve 0.9775439769714118 [0.972124,0.989056,0.980617,0.961571] 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 0.9191017820835239 [0.925508,0.943662,0.9,0.846626] f_measure 0.9268790286775898 [0.914414,0.959233,0.878788,0.89697] f_measure 0.9101543512704938 [0.895323,0.964029,0.830769,0.84472] f_measure 0.889210001571313 [0.886364,0.925581,0.761905,0.855346] f_measure 0.9230885318670689 [0.914027,0.940334,0.911765,0.907975] f_measure 0.9123314561969313 [0.911565,0.942308,0.848485,0.863905] f_measure 0.9157568846968914 [0.909492,0.929095,0.857143,0.921212] f_measure 0.9106520896721891 [0.904977,0.937198,0.915254,0.857143] f_measure 0.9286922253916514 [0.915929,0.973236,0.875,0.871166] f_measure 0.8982751252244919 [0.889401,0.959233,0.861538,0.781609] kappa 0.8775291724654746 kappa 0.8893998014868233 kappa 0.8640106538711777 kappa 0.8330428401064122 kappa 0.8839420823822948 kappa 0.867642379891823 kappa 0.8722072414197383 kappa 0.8643307474636632 kappa 0.8916064480266818 kappa 0.8457651101677784 kb_relative_information_score 0.8604054816009363 kb_relative_information_score 0.8680594480557754 kb_relative_information_score 0.8423242246769813 kb_relative_information_score 0.8360708089864712 kb_relative_information_score 0.8713215863061246 kb_relative_information_score 0.8701806331806432 kb_relative_information_score 0.8738790052921885 kb_relative_information_score 0.8459570367710998 kb_relative_information_score 0.8785237787804341 kb_relative_information_score 0.8340727446075837 mean_absolute_error 0.056959630053829556 mean_absolute_error 0.05566351078922379 mean_absolute_error 0.06105027438629311 mean_absolute_error 0.06470422625913008 mean_absolute_error 0.05180618048005272 mean_absolute_error 0.0510562921058354 mean_absolute_error 0.05293643188957286 mean_absolute_error 0.06191556578216659 mean_absolute_error 0.04782144332492152 mean_absolute_error 0.06566381950314806 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 0.9200459617126283 [0.923423,0.930556,1,0.851852] precision 0.9270812392983275 [0.910314,0.966184,0.878788,0.891566] precision 0.910652389227945 [0.877729,0.971014,0.84375,0.871795] precision 0.8894097130939237 [0.886364,0.904545,0.8,0.894737] precision 0.9233083064849981 [0.90991,0.942584,0.885714,0.925] precision 0.9127285922204542 [0.909502,0.951456,0.848485,0.848837] precision 0.9170766006262066 [0.88412,0.954774,0.870968,0.926829] precision 0.912749374920953 [0.904977,0.946341,1,0.815217] precision 0.9296378879468766 [0.896104,0.990099,0.903226,0.876543] precision 0.9003560741372333 [0.906103,0.961538,0.875,0.73913] predictive_accuracy 0.9194139194139194 predictive_accuracy 0.9267399267399267 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.8901098901098901 predictive_accuracy 0.923076923076923 predictive_accuracy 0.9120879120879121 predictive_accuracy 0.9155963302752294 predictive_accuracy 0.910091743119266 predictive_accuracy 0.928440366972477 predictive_accuracy 0.8972477064220183 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 0.1720089473331918 relative_absolute_error 0.16809487503124015 relative_absolute_error 0.1842333600802543 relative_absolute_error 0.19526000718170342 relative_absolute_error 0.15633716307927176 relative_absolute_error 0.1540742010163495 relative_absolute_error 0.1598705596063414 relative_absolute_error 0.18699822239881822 relative_absolute_error 0.14439447261289357 relative_absolute_error 0.19826864117177628 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 0.17706401165151706 root_mean_squared_error 0.17203757760503313 root_mean_squared_error 0.1903708561198 root_mean_squared_error 0.1936340941055816 root_mean_squared_error 0.17158934939477116 root_mean_squared_error 0.17034972786255315 root_mean_squared_error 0.16925714812740755 root_mean_squared_error 0.18183367241643694 root_mean_squared_error 0.16680546640192365 root_mean_squared_error 0.19177689733645722 root_relative_squared_error 0.43523157919681976 root_relative_squared_error 0.42287637043714565 root_relative_squared_error 0.4676138079939913 root_relative_squared_error 0.4756294001493457 root_relative_squared_error 0.42148021350078435 root_relative_squared_error 0.41843529288128034 root_relative_squared_error 0.4160706517011533 root_relative_squared_error 0.4470109766583532 root_relative_squared_error 0.40996272534431655 root_relative_squared_error 0.47133574927748595 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 0.8860974749783932 [0.927602,0.957143,0.818182,0.841463] unweighted_recall 0.9130399729395425 [0.918552,0.952381,0.878788,0.902439] unweighted_recall 0.8770595368486935 [0.913636,0.957143,0.818182,0.819277] unweighted_recall 0.8451331299222865 [0.886364,0.947619,0.727273,0.819277] unweighted_recall 0.9218093151828092 [0.918182,0.938095,0.939394,0.891566] unweighted_recall 0.8937431544359256 [0.913636,0.933333,0.848485,0.879518] unweighted_recall 0.9001345479319877 [0.936364,0.904762,0.84375,0.915663] unweighted_recall 0.8951428746171767 [0.904977,0.92823,0.84375,0.903614] unweighted_recall 0.9019819724437258 [0.936652,0.956938,0.848485,0.865854] unweighted_recall 0.876998526907913 [0.873303,0.956938,0.848485,0.829268] usercpu_time_millis 53.12818900000593 usercpu_time_millis 53.44363200003954 usercpu_time_millis 55.29280599995445 usercpu_time_millis 55.887313000027916 usercpu_time_millis 52.96529599996802 usercpu_time_millis 53.40187999996715 usercpu_time_millis 53.10107899998684 usercpu_time_millis 53.478329000029134 usercpu_time_millis 53.28152199996339 usercpu_time_millis 49.760256000013214 usercpu_time_millis_testing 5.648613000005298 usercpu_time_millis_testing 6.022036000047137 usercpu_time_millis_testing 5.998504999979559 usercpu_time_millis_testing 6.067013000006227 usercpu_time_millis_testing 5.483537999964483 usercpu_time_millis_testing 5.531789999963621 usercpu_time_millis_testing 6.228879999980563 usercpu_time_millis_testing 6.434475000048678 usercpu_time_millis_testing 5.3624969999646055 usercpu_time_millis_testing 3.7722800000210555 usercpu_time_millis_training 47.479576000000634 usercpu_time_millis_training 47.421595999992405 usercpu_time_millis_training 49.294300999974894 usercpu_time_millis_training 49.82030000002169 usercpu_time_millis_training 47.48175800000354 usercpu_time_millis_training 47.87009000000353 usercpu_time_millis_training 46.872199000006276 usercpu_time_millis_training 47.043853999980456 usercpu_time_millis_training 47.91902499999878 usercpu_time_millis_training 45.98797599999216 wall_clock_time_millis 53.16305160522461 wall_clock_time_millis 53.79796028137207 wall_clock_time_millis 55.30285835266113 wall_clock_time_millis 55.93276023864746 wall_clock_time_millis 53.12919616699219 wall_clock_time_millis 53.649187088012695 wall_clock_time_millis 53.331851959228516 wall_clock_time_millis 57.02805519104004 wall_clock_time_millis 53.442955017089844 wall_clock_time_millis 51.1014461517334 wall_clock_time_millis_testing 5.6781768798828125 wall_clock_time_millis_testing 6.03795051574707 wall_clock_time_millis_testing 6.005287170410156 wall_clock_time_millis_testing 6.074428558349609 wall_clock_time_millis_testing 5.491018295288086 wall_clock_time_millis_testing 5.538225173950195 wall_clock_time_millis_testing 6.38890266418457 wall_clock_time_millis_testing 9.87553596496582 wall_clock_time_millis_testing 5.368947982788086 wall_clock_time_millis_testing 3.777742385864258 wall_clock_time_millis_training 47.4848747253418 wall_clock_time_millis_training 47.760009765625 wall_clock_time_millis_training 49.29757118225098 wall_clock_time_millis_training 49.85833168029785 wall_clock_time_millis_training 47.6381778717041 wall_clock_time_millis_training 48.1109619140625 wall_clock_time_millis_training 46.942949295043945 wall_clock_time_millis_training 47.15251922607422 wall_clock_time_millis_training 48.07400703430176 wall_clock_time_millis_training 47.32370376586914 weighted_recall 0.9194139194139194 [0.927602,0.957143,0.818182,0.841463] weighted_recall 0.9267399267399268 [0.918552,0.952381,0.878788,0.902439] weighted_recall 0.9102564102564102 [0.913636,0.957143,0.818182,0.819277] weighted_recall 0.8901098901098901 [0.886364,0.947619,0.727273,0.819277] weighted_recall 0.9230769230769231 [0.918182,0.938095,0.939394,0.891566] weighted_recall 0.9120879120879121 [0.913636,0.933333,0.848485,0.879518] weighted_recall 0.9155963302752294 [0.936364,0.904762,0.84375,0.915663] weighted_recall 0.9100917431192661 [0.904977,0.92823,0.84375,0.903614] weighted_recall 0.9284403669724771 [0.936652,0.956938,0.848485,0.865854] weighted_recall 0.8972477064220183 [0.873303,0.956938,0.848485,0.829268]