10571877 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) 8288159 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 "mean" 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 0.2832615257779099 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 8 19034 min_samples_split 14 19034 min_weight_fraction_leaf 0.0 19034 random_state 36798 19034 splitter "random" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22070021 description https://api.openml.org/data/download/22070021/description.xml -1 22070023 predictions https://api.openml.org/data/download/22070023/predictions.arff area_under_roc_curve 0.9656176885932128 [0.962212,0.962142,0.979976,0.977832] average_cost 0 f_measure 0.864569250388779 [0.874858,0.87133,0.820593,0.837403] kappa 0.7956127535714683 kb_relative_information_score 0.7882012379444991 mean_absolute_error 0.08668067753998726 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.8645527859237536 [0.873469,0.870291,0.801829,0.85109] number_of_instances 5456 [2205,2097,328,826] precision 0.8647081002436696 [0.876251,0.872371,0.840256,0.82415] predictive_accuracy 0.8645527859237536 prior_entropy 1.7146330399083418 relative_absolute_error 0.26168687835006355 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.21977604575101992 root_relative_squared_error 0.5400652028411607 total_cost 0 unweighted_recall 0.849169784043907 [0.873469,0.870291,0.801829,0.85109] area_under_roc_curve 0.9660032743547066 [0.966947,0.956406,0.995186,0.976293] area_under_roc_curve 0.9632269727931878 [0.950658,0.967149,0.961309,0.987831] area_under_roc_curve 0.9610997485971867 [0.954894,0.955959,0.979001,0.983437] area_under_roc_curve 0.9550772790607922 [0.947086,0.947895,0.985705,0.982253] area_under_roc_curve 0.9729515475022069 [0.974596,0.969147,0.978941,0.975839] area_under_roc_curve 0.9702507591896138 [0.967032,0.973533,0.980005,0.966601] area_under_roc_curve 0.9700456699448029 [0.963909,0.966375,0.994883,0.986022] area_under_roc_curve 0.9716163037756873 [0.975567,0.962798,0.980629,0.979828] area_under_roc_curve 0.9623069587728089 [0.964248,0.957237,0.980173,0.962809] area_under_roc_curve 0.9619489605928184 [0.957433,0.961601,0.961204,0.975307] 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 0.8551074699481624 [0.870748,0.859155,0.861538,0.8] f_measure 0.8552162536594762 [0.853933,0.86747,0.793651,0.852071] f_measure 0.8715993918476487 [0.870968,0.874109,0.83871,0.88] f_measure 0.8545728319195153 [0.873874,0.86052,0.618182,0.882353] f_measure 0.8704847619083171 [0.887324,0.88993,0.823529,0.795322] f_measure 0.8735159820113305 [0.876147,0.885246,0.835821,0.851852] f_measure 0.8845314477489412 [0.884444,0.895377,0.830769,0.878049] f_measure 0.8808489013840003 [0.904232,0.869779,0.9,0.83908] f_measure 0.8589973483258249 [0.875576,0.865248,0.878788,0.790419] f_measure 0.838810828990913 [0.851351,0.845966,0.8,0.802395] kappa 0.780693904943971 kappa 0.7815314174576322 kappa 0.807099271701332 kappa 0.7828904103303952 kappa 0.8049676254106567 kappa 0.8090976807349491 kappa 0.8252102465943106 kappa 0.820000406491672 kappa 0.7871601231443397 kappa 0.7574727814271482 kb_relative_information_score 0.7661986389699992 kb_relative_information_score 0.77681685459412 kb_relative_information_score 0.7915897183874485 kb_relative_information_score 0.774891028802752 kb_relative_information_score 0.8080295519724423 kb_relative_information_score 0.8074113364425223 kb_relative_information_score 0.8067168832778243 kb_relative_information_score 0.801930712436078 kb_relative_information_score 0.7851799650382486 kb_relative_information_score 0.763254343552471 mean_absolute_error 0.0974012943121729 mean_absolute_error 0.09074046065759296 mean_absolute_error 0.08636343106406028 mean_absolute_error 0.09152658253916493 mean_absolute_error 0.07753501404016512 mean_absolute_error 0.07887959630284211 mean_absolute_error 0.08005983970254849 mean_absolute_error 0.08105368609576583 mean_absolute_error 0.08796328598134691 mean_absolute_error 0.09527925018370759 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 0.8552132696363465 [0.872727,0.847222,0.875,0.820513] precision 0.8556917033165081 [0.848214,0.878049,0.833333,0.827586] precision 0.872675138657085 [0.883178,0.872038,0.896552,0.836957] precision 0.8553554178424088 [0.866071,0.85446,0.772727,0.862069] precision 0.8722563948213807 [0.917476,0.875576,0.8,0.772727] precision 0.8738285793366299 [0.884259,0.870968,0.823529,0.873418] precision 0.8854059229664253 [0.865217,0.915423,0.818182,0.888889] precision 0.8826430048303539 [0.890351,0.893939,0.964286,0.802198] precision 0.859689977129278 [0.892019,0.85514,0.878788,0.776471] precision 0.8398132106899927 [0.847534,0.865,0.756757,0.788235] predictive_accuracy 0.8553113553113554 predictive_accuracy 0.8553113553113554 predictive_accuracy 0.8717948717948718 predictive_accuracy 0.8571428571428571 predictive_accuracy 0.86996336996337 predictive_accuracy 0.8736263736263736 predictive_accuracy 0.8844036697247707 predictive_accuracy 0.8807339449541284 predictive_accuracy 0.8587155963302752 predictive_accuracy 0.8385321100917431 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 0.2941362871861007 relative_absolute_error 0.274021637842293 relative_absolute_error 0.2606216802944222 relative_absolute_error 0.27620268716824914 relative_absolute_error 0.23397988467839628 relative_absolute_error 0.23803747345498188 relative_absolute_error 0.241784550230737 relative_absolute_error 0.24479943011593427 relative_absolute_error 0.265600772487654 relative_absolute_error 0.287690962979754 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 0.22369765555270948 root_mean_squared_error 0.22573568014005596 root_mean_squared_error 0.22351868921977863 root_mean_squared_error 0.23035146031055356 root_mean_squared_error 0.21403434076954247 root_mean_squared_error 0.2068034445754406 root_mean_squared_error 0.20886490854353423 root_mean_squared_error 0.20815429155103696 root_mean_squared_error 0.2214321128799163 root_mean_squared_error 0.23329604370644694 root_relative_squared_error 0.5498592457085438 root_relative_squared_error 0.5548688049708658 root_relative_squared_error 0.5490358532511493 root_relative_squared_error 0.5658193997142584 root_relative_squared_error 0.5257391555025933 root_relative_squared_error 0.5079776820635842 root_relative_squared_error 0.5134350872424872 root_relative_squared_error 0.5117162950367029 root_relative_squared_error 0.544220249091033 root_relative_squared_error 0.5733785825668768 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 0.8422948763336138 [0.868778,0.871429,0.848485,0.780488] unweighted_recall 0.8381239754984375 [0.859729,0.857143,0.757576,0.878049] unweighted_recall 0.8627177541334168 [0.859091,0.87619,0.787879,0.927711] unweighted_recall 0.7918127053669223 [0.881818,0.866667,0.515152,0.903614] unweighted_recall 0.8579036926928494 [0.859091,0.904762,0.848485,0.819277] unweighted_recall 0.8619979919678715 [0.868182,0.9,0.848485,0.831325] unweighted_recall 0.8729889525635008 [0.904545,0.87619,0.84375,0.86747] unweighted_recall 0.8721775151603404 [0.918552,0.84689,0.84375,0.879518] unweighted_recall 0.8547481301200248 [0.859729,0.875598,0.878788,0.804878] unweighted_recall 0.8371282088245767 [0.855204,0.827751,0.848485,0.817073] usercpu_time_millis 31.574872000021514 usercpu_time_millis 32.42854699999498 usercpu_time_millis 31.937841999990724 usercpu_time_millis 32.623559999933605 usercpu_time_millis 32.19706799995947 usercpu_time_millis 33.61062800001946 usercpu_time_millis 32.09704099992905 usercpu_time_millis 32.40700199995672 usercpu_time_millis 31.805062999978873 usercpu_time_millis 21.35991900007639 usercpu_time_millis_testing 5.651166000006924 usercpu_time_millis_testing 6.5184460000295985 usercpu_time_millis_testing 6.111524999994344 usercpu_time_millis_testing 6.059409999977561 usercpu_time_millis_testing 5.678284999987682 usercpu_time_millis_testing 5.867334000015489 usercpu_time_millis_testing 6.115998999973726 usercpu_time_millis_testing 6.076111999959721 usercpu_time_millis_testing 5.955951999965237 usercpu_time_millis_testing 3.585258000043723 usercpu_time_millis_training 25.92370600001459 usercpu_time_millis_training 25.91010099996538 usercpu_time_millis_training 25.82631699999638 usercpu_time_millis_training 26.564149999956044 usercpu_time_millis_training 26.51878299997179 usercpu_time_millis_training 27.74329400000397 usercpu_time_millis_training 25.981041999955323 usercpu_time_millis_training 26.330889999996998 usercpu_time_millis_training 25.849111000013636 usercpu_time_millis_training 17.774661000032665 wall_clock_time_millis 31.744956970214844 wall_clock_time_millis 34.966230392456055 wall_clock_time_millis 32.021284103393555 wall_clock_time_millis 35.12907028198242 wall_clock_time_millis 32.27949142456055 wall_clock_time_millis 33.669471740722656 wall_clock_time_millis 32.164573669433594 wall_clock_time_millis 51.52487754821777 wall_clock_time_millis 32.034873962402344 wall_clock_time_millis 22.638559341430664 wall_clock_time_millis_testing 5.656957626342773 wall_clock_time_millis_testing 9.053230285644531 wall_clock_time_millis_testing 6.1244964599609375 wall_clock_time_millis_testing 6.094932556152344 wall_clock_time_millis_testing 5.701303482055664 wall_clock_time_millis_testing 5.877256393432617 wall_clock_time_millis_testing 6.133794784545898 wall_clock_time_millis_testing 6.094455718994141 wall_clock_time_millis_testing 5.96308708190918 wall_clock_time_millis_testing 3.589153289794922 wall_clock_time_millis_training 26.08799934387207 wall_clock_time_millis_training 25.913000106811523 wall_clock_time_millis_training 25.896787643432617 wall_clock_time_millis_training 29.034137725830078 wall_clock_time_millis_training 26.578187942504883 wall_clock_time_millis_training 27.79221534729004 wall_clock_time_millis_training 26.030778884887695 wall_clock_time_millis_training 45.43042182922363 wall_clock_time_millis_training 26.071786880493164 wall_clock_time_millis_training 19.049406051635742 weighted_recall 0.8553113553113553 [0.868778,0.871429,0.848485,0.780488] weighted_recall 0.8553113553113553 [0.859729,0.857143,0.757576,0.878049] weighted_recall 0.8717948717948718 [0.859091,0.87619,0.787879,0.927711] weighted_recall 0.8571428571428571 [0.881818,0.866667,0.515152,0.903614] weighted_recall 0.86996336996337 [0.859091,0.904762,0.848485,0.819277] weighted_recall 0.8736263736263736 [0.868182,0.9,0.848485,0.831325] weighted_recall 0.8844036697247707 [0.904545,0.87619,0.84375,0.86747] weighted_recall 0.8807339449541285 [0.918552,0.84689,0.84375,0.879518] weighted_recall 0.8587155963302753 [0.859729,0.875598,0.878788,0.804878] weighted_recall 0.8385321100917431 [0.855204,0.827751,0.848485,0.817073]