10571855 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) 8288137 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 "entropy" 19034 max_depth null 19034 max_features 0.5216704120518547 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 5 19034 min_samples_split 6 19034 min_weight_fraction_leaf 0.0 19034 random_state 53522 19034 splitter "random" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069977 description https://api.openml.org/data/download/22069977/description.xml -1 22069978 predictions https://api.openml.org/data/download/22069978/predictions.arff area_under_roc_curve 0.9756039695265895 [0.970447,0.978586,0.982667,0.978994] average_cost 0 f_measure 0.9255559260953659 [0.921857,0.9393,0.901235,0.910194] kappa 0.8875500752175277 kb_relative_information_score 0.8860794391027609 mean_absolute_error 0.04612740792811107 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9255865102639296 [0.922902,0.940868,0.890244,0.90799] number_of_instances 5456 [2205,2097,328,826] precision 0.9255464441239383 [0.920814,0.937738,0.9125,0.912409] predictive_accuracy 0.9255865102639297 prior_entropy 1.7146330399083418 relative_absolute_error 0.1392575338548644 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.17065213859337 root_relative_squared_error 0.4193508966355517 total_cost 0 unweighted_recall 0.915501154518302 [0.922902,0.940868,0.890244,0.90799] area_under_roc_curve 0.9746753804437678 [0.974132,0.975446,0.984346,0.970274] area_under_roc_curve 0.9738554781028962 [0.961086,0.981335,0.967807,0.99155] area_under_roc_curve 0.9739816252237743 [0.97263,0.970933,0.983165,0.981628] area_under_roc_curve 0.9722557714283172 [0.964013,0.978352,0.983135,0.974355] area_under_roc_curve 0.9785990870113034 [0.975251,0.982533,0.962313,0.983996] area_under_roc_curve 0.9746035385191749 [0.968816,0.982433,0.968663,0.972495] area_under_roc_curve 0.9651815916279548 [0.954357,0.966453,0.994822,0.979229] area_under_roc_curve 0.974643916032939 [0.971475,0.975422,0.983888,0.97756] area_under_roc_curve 0.9831176616399303 [0.980239,0.983481,1,0.983156] area_under_roc_curve 0.9839572237344647 [0.980783,0.988651,0.998816,0.974569] 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 0.9303083329099936 [0.932432,0.945368,0.953846,0.876543] f_measure 0.9184808661958945 [0.916854,0.945626,0.807018,0.898204] f_measure 0.9158272507680676 [0.918182,0.920482,0.895522,0.905882] f_measure 0.9230345437729647 [0.915179,0.94964,0.885246,0.891566] f_measure 0.9193248822983926 [0.916279,0.939252,0.835821,0.91018] f_measure 0.9302035326292974 [0.924485,0.950588,0.925373,0.895706] f_measure 0.8962742941275099 [0.883408,0.899756,0.837838,0.944099] f_measure 0.9413411145363433 [0.9375,0.942584,0.95082,0.944785] f_measure 0.9376221081699582 [0.931818,0.947867,0.952381,0.921212] f_measure 0.9430845740921315 [0.942792,0.950355,0.969697,0.914634] kappa 0.8946304600649038 kappa 0.8775035692433202 kappa 0.873358107733344 kappa 0.8834003650729892 kappa 0.8786923985821189 kappa 0.8949276830207026 kappa 0.842865597353526 kappa 0.9108425481445128 kappa 0.905609918854075 kappa 0.9141296060991106 kb_relative_information_score 0.8872076660419498 kb_relative_information_score 0.87198644426514 kb_relative_information_score 0.8714028026573811 kb_relative_information_score 0.8810780592986234 kb_relative_information_score 0.8870512479444409 kb_relative_information_score 0.8758327642527529 kb_relative_information_score 0.8645409949660865 kb_relative_information_score 0.9018790893786764 kb_relative_information_score 0.910901939159979 kb_relative_information_score 0.9090126500729396 mean_absolute_error 0.04591207784889105 mean_absolute_error 0.05034499993291199 mean_absolute_error 0.05273373604417562 mean_absolute_error 0.04774682988968703 mean_absolute_error 0.04552682766968483 mean_absolute_error 0.04999339285053573 mean_absolute_error 0.05479698864899251 mean_absolute_error 0.03970762418010126 mean_absolute_error 0.03641331400505712 mean_absolute_error 0.03806985992361061 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 0.9303005857065241 [0.928251,0.943128,0.96875,0.8875] precision 0.9201994448917161 [0.910714,0.938967,0.958333,0.882353] precision 0.9161830654929156 [0.918182,0.931707,0.882353,0.885057] precision 0.9239890317448343 [0.899123,0.956522,0.964286,0.891566] precision 0.9199203558158151 [0.938095,0.922018,0.823529,0.904762] precision 0.9302576696037063 [0.930876,0.939535,0.911765,0.9125] precision 0.8998745105809615 [0.871681,0.924623,0.738095,0.974359] precision 0.9419024572606394 [0.92511,0.942584,1,0.9625] precision 0.93798277967618 [0.936073,0.938967,1,0.915663] precision 0.9432518474060101 [0.953704,0.939252,0.969697,0.914634] predictive_accuracy 0.9304029304029303 predictive_accuracy 0.9194139194139194 predictive_accuracy 0.9157509157509157 predictive_accuracy 0.923076923076923 predictive_accuracy 0.9194139194139194 predictive_accuracy 0.9304029304029303 predictive_accuracy 0.8954128440366972 predictive_accuracy 0.9412844036697249 predictive_accuracy 0.9376146788990826 predictive_accuracy 0.9431192660550458 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 0.1386471115280066 relative_absolute_error 0.1520338252507239 relative_absolute_error 0.15913627708747782 relative_absolute_error 0.14408713133863235 relative_absolute_error 0.13738775983722504 relative_absolute_error 0.1508666560347888 relative_absolute_error 0.16548953012797135 relative_absolute_error 0.11992549924332514 relative_absolute_error 0.10994819282478323 relative_absolute_error 0.11495005093775071 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 0.17113327277849158 root_mean_squared_error 0.17968674622486927 root_mean_squared_error 0.1806484488047641 root_mean_squared_error 0.17314747736677125 root_mean_squared_error 0.16740839407231567 root_mean_squared_error 0.1740520036318602 root_mean_squared_error 0.19311221173689466 root_mean_squared_error 0.16009420465380983 root_mean_squared_error 0.1512627048496957 root_mean_squared_error 0.15131710751854555 root_relative_squared_error 0.42065354709738306 root_relative_squared_error 0.4416783828105364 root_relative_squared_error 0.44373235891025353 root_relative_squared_error 0.42530749131619955 root_relative_squared_error 0.4112104039341571 root_relative_squared_error 0.42752930709131315 root_relative_squared_error 0.47471155385614233 root_relative_squared_error 0.3935677359897658 root_relative_squared_error 0.3717628208521293 root_relative_squared_error 0.37189652789943883 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 0.9223795573149949 [0.936652,0.947619,0.939394,0.865854] unweighted_recall 0.8717654296922589 [0.923077,0.952381,0.69697,0.914634] unweighted_recall 0.9161268450425077 [0.918182,0.909524,0.909091,0.927711] unweighted_recall 0.896105851979346 [0.931818,0.942857,0.818182,0.891566] unweighted_recall 0.9041862254211652 [0.895455,0.957143,0.848485,0.915663] unweighted_recall 0.924749647942419 [0.918182,0.961905,0.939394,0.879518] unweighted_recall 0.9140144180618578 [0.895455,0.87619,0.96875,0.915663] unweighted_recall 0.9316927049437004 [0.950226,0.942584,0.90625,0.927711] unweighted_recall 0.9301149465953513 [0.927602,0.956938,0.909091,0.926829] unweighted_recall 0.9445450752273225 [0.932127,0.961722,0.969697,0.914634] usercpu_time_millis 50.77896599993892 usercpu_time_millis 51.899106999997 usercpu_time_millis 52.436984000053144 usercpu_time_millis 51.606491000029564 usercpu_time_millis 51.61704500000042 usercpu_time_millis 51.882581999961985 usercpu_time_millis 50.62828700005184 usercpu_time_millis 51.91758299997673 usercpu_time_millis 52.34811700000819 usercpu_time_millis 46.52134099995919 usercpu_time_millis_testing 5.593288999989454 usercpu_time_millis_testing 6.812329000013051 usercpu_time_millis_testing 6.128339000042615 usercpu_time_millis_testing 7.226273000014771 usercpu_time_millis_testing 5.960480999988249 usercpu_time_millis_testing 5.794186999992235 usercpu_time_millis_testing 6.154115000015281 usercpu_time_millis_testing 6.2154270000291945 usercpu_time_millis_testing 5.960490999996182 usercpu_time_millis_testing 3.961906999961684 usercpu_time_millis_training 45.185676999949465 usercpu_time_millis_training 45.08677799998395 usercpu_time_millis_training 46.30864500001053 usercpu_time_millis_training 44.38021800001479 usercpu_time_millis_training 45.65656400001217 usercpu_time_millis_training 46.08839499996975 usercpu_time_millis_training 44.47417200003656 usercpu_time_millis_training 45.702155999947536 usercpu_time_millis_training 46.387626000012006 usercpu_time_millis_training 42.55943399999751 wall_clock_time_millis 51.07426643371582 wall_clock_time_millis 54.398536682128906 wall_clock_time_millis 52.49595642089844 wall_clock_time_millis 65.87338447570801 wall_clock_time_millis 51.82528495788574 wall_clock_time_millis 51.976919174194336 wall_clock_time_millis 50.77528953552246 wall_clock_time_millis 55.13787269592285 wall_clock_time_millis 57.11507797241211 wall_clock_time_millis 48.60115051269531 wall_clock_time_millis_testing 5.715131759643555 wall_clock_time_millis_testing 9.299278259277344 wall_clock_time_millis_testing 6.134986877441406 wall_clock_time_millis_testing 19.840002059936523 wall_clock_time_millis_testing 6.059408187866211 wall_clock_time_millis_testing 5.801916122436523 wall_clock_time_millis_testing 6.160497665405273 wall_clock_time_millis_testing 6.22248649597168 wall_clock_time_millis_testing 5.972385406494141 wall_clock_time_millis_testing 3.9680004119873047 wall_clock_time_millis_training 45.359134674072266 wall_clock_time_millis_training 45.09925842285156 wall_clock_time_millis_training 46.36096954345703 wall_clock_time_millis_training 46.033382415771484 wall_clock_time_millis_training 45.76587677001953 wall_clock_time_millis_training 46.17500305175781 wall_clock_time_millis_training 44.61479187011719 wall_clock_time_millis_training 48.91538619995117 wall_clock_time_millis_training 51.14269256591797 wall_clock_time_millis_training 44.63315010070801 weighted_recall 0.9304029304029304 [0.936652,0.947619,0.939394,0.865854] weighted_recall 0.9194139194139194 [0.923077,0.952381,0.69697,0.914634] weighted_recall 0.9157509157509157 [0.918182,0.909524,0.909091,0.927711] weighted_recall 0.9230769230769231 [0.931818,0.942857,0.818182,0.891566] weighted_recall 0.9194139194139194 [0.895455,0.957143,0.848485,0.915663] weighted_recall 0.9304029304029304 [0.918182,0.961905,0.939394,0.879518] weighted_recall 0.8954128440366973 [0.895455,0.87619,0.96875,0.915663] weighted_recall 0.9412844036697248 [0.950226,0.942584,0.90625,0.927711] weighted_recall 0.9376146788990826 [0.927602,0.956938,0.909091,0.926829] weighted_recall 0.9431192660550459 [0.932127,0.961722,0.969697,0.914634]