10571848 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) 8288130 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 0.3484066607337824 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 14 19034 min_samples_split 17 19034 min_weight_fraction_leaf 0.0 19034 random_state 18997 19034 splitter "random" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069963 description https://api.openml.org/data/download/22069963/description.xml -1 22069964 predictions https://api.openml.org/data/download/22069964/predictions.arff area_under_roc_curve 0.9528485659990142 [0.939284,0.961542,0.980315,0.956082] average_cost 0 f_measure 0.8306043020256902 [0.833784,0.86687,0.825806,0.731952] kappa 0.7435976153115263 kb_relative_information_score 0.7254550627974684 mean_absolute_error 0.11107628862081671 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.8313782991202346 [0.839456,0.880305,0.780488,0.705811] number_of_instances 5456 [2205,2097,328,826] precision 0.8306566390455585 [0.828188,0.853839,0.876712,0.760104] predictive_accuracy 0.8313782991202346 prior_entropy 1.7146330399083418 relative_absolute_error 0.33533664079267284 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.2440604842786176 root_relative_squared_error 0.5997404061804211 total_cost 0 unweighted_recall 0.8015149807768166 [0.839456,0.880305,0.780488,0.705811] area_under_roc_curve 0.9595743738700144 [0.949655,0.970274,0.991346,0.946121] area_under_roc_curve 0.9363159878323698 [0.925242,0.944714,0.93777,0.944071] area_under_roc_curve 0.9510822091098178 [0.937381,0.957327,0.971764,0.963374] area_under_roc_curve 0.96148598134908 [0.953583,0.972725,0.976579,0.947995] area_under_roc_curve 0.9517908173001316 [0.92995,0.962465,0.994123,0.965846] area_under_roc_curve 0.9574626188288745 [0.958701,0.956101,0.962313,0.955698] area_under_roc_curve 0.9477496951712739 [0.937035,0.951791,0.989035,0.950008] area_under_roc_curve 0.9445171388646764 [0.926094,0.952089,0.995614,0.954806] area_under_roc_curve 0.9586806557072749 [0.941721,0.968188,0.991744,0.966852] area_under_roc_curve 0.9548323492819789 [0.92976,0.974304,0.988932,0.959055] 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 0.8453165735948929 [0.84507,0.892449,0.818182,0.736196] f_measure 0.792479951301172 [0.813636,0.835267,0.740741,0.646707] f_measure 0.8352695969685088 [0.840647,0.873239,0.786885,0.744186] f_measure 0.8474954028690068 [0.85906,0.894009,0.842105,0.701299] f_measure 0.8196879164949806 [0.808989,0.849057,0.895522,0.74359] f_measure 0.8345984305287925 [0.861048,0.849765,0.80597,0.7375] f_measure 0.825317514039942 [0.826966,0.84434,0.78125,0.789809] f_measure 0.8256057840912828 [0.830108,0.844444,0.9,0.7375] f_measure 0.8563550851109566 [0.840909,0.897674,0.881356,0.782609] f_measure 0.8232160627338866 [0.813043,0.886256,0.8,0.699301] kappa 0.7676713439035509 kappa 0.6846414916889861 kappa 0.7512969101905509 kappa 0.7697517626548591 kappa 0.7276877274230896 kappa 0.7506381208040068 kappa 0.7350564684089061 kappa 0.7342827816268926 kappa 0.7821128543677377 kappa 0.7326099643135655 kb_relative_information_score 0.7519433031109731 kb_relative_information_score 0.6590923886888644 kb_relative_information_score 0.7081686882375798 kb_relative_information_score 0.7419754529385401 kb_relative_information_score 0.7315082250698193 kb_relative_information_score 0.730452380518079 kb_relative_information_score 0.7351425136365488 kb_relative_information_score 0.7196350260254749 kb_relative_information_score 0.7437139273441538 kb_relative_information_score 0.7329515945114815 mean_absolute_error 0.10092441814618247 mean_absolute_error 0.13413139231213322 mean_absolute_error 0.11833927107917383 mean_absolute_error 0.10213300494126756 mean_absolute_error 0.10892320892410322 mean_absolute_error 0.1086660464170441 mean_absolute_error 0.10704856281111655 mean_absolute_error 0.11495086057446435 mean_absolute_error 0.10666379468893675 mean_absolute_error 0.10897010684568062 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 0.8464944999990307 [0.878049,0.859031,0.818182,0.740741] precision 0.7970661469851241 [0.817352,0.81448,0.952381,0.635294] precision 0.8366037757046731 [0.85446,0.861111,0.857143,0.719101] precision 0.8499653035120244 [0.845815,0.866071,1,0.760563] precision 0.8199603783094637 [0.8,0.841121,0.882353,0.794521] precision 0.8345027854783812 [0.863014,0.837963,0.794118,0.766234] precision 0.8258823068974831 [0.817778,0.836449,0.78125,0.837838] precision 0.8286307508961828 [0.790984,0.872449,0.964286,0.766234] precision 0.8579858069195162 [0.844749,0.873303,1,0.797468] precision 0.8264774232229876 [0.782427,0.877934,0.8125,0.819672] predictive_accuracy 0.8461538461538461 predictive_accuracy 0.793040293040293 predictive_accuracy 0.8351648351648352 predictive_accuracy 0.8498168498168498 predictive_accuracy 0.8205128205128206 predictive_accuracy 0.8351648351648352 predictive_accuracy 0.8256880733944953 predictive_accuracy 0.8256880733944953 predictive_accuracy 0.8568807339449542 predictive_accuracy 0.8256880733944953 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 0.30477555611112284 relative_absolute_error 0.40505529221558256 relative_absolute_error 0.3571161925073871 relative_absolute_error 0.3082100263196776 relative_absolute_error 0.32870104143735906 relative_absolute_error 0.3279249939381721 relative_absolute_error 0.32329178659732827 relative_absolute_error 0.34717613122144103 relative_absolute_error 0.3220660295916373 relative_absolute_error 0.329029824584002 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 0.22878716861320722 root_mean_squared_error 0.26705561464506117 root_mean_squared_error 0.24932719703076622 root_mean_squared_error 0.23398691402991253 root_mean_squared_error 0.24710311811030553 root_mean_squared_error 0.23932806156873787 root_mean_squared_error 0.24535110549281994 root_mean_squared_error 0.25130357860988173 root_mean_squared_error 0.23305001131214687 root_mean_squared_error 0.24305427127203139 root_relative_squared_error 0.562369505619648 root_relative_squared_error 0.6564351265467979 root_relative_squared_error 0.6124300873378205 root_relative_squared_error 0.5747492768611342 root_relative_squared_error 0.6069670136590357 root_relative_squared_error 0.5878689023678668 root_relative_squared_error 0.6031260451177708 root_relative_squared_error 0.6177923847617778 root_relative_squared_error 0.5727739014789848 root_relative_squared_error 0.5973616668962456 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 0.8232350504588668 [0.81448,0.928571,0.818182,0.731707] unweighted_recall 0.7329236999251346 [0.809955,0.857143,0.606061,0.658537] unweighted_recall 0.8028360194022843 [0.827273,0.885714,0.727273,0.771084] unweighted_recall 0.7936029833620195 [0.872727,0.92381,0.727273,0.650602] unweighted_recall 0.8208026912846189 [0.818182,0.857143,0.909091,0.698795] unweighted_recall 0.8125052156678663 [0.859091,0.861905,0.818182,0.710843] unweighted_recall 0.8042456351379544 [0.836364,0.852381,0.78125,0.746988] unweighted_recall 0.8115195897741522 [0.873303,0.818182,0.84375,0.710843] unweighted_recall 0.8291801298200907 [0.837104,0.923445,0.787879,0.768293] unweighted_recall 0.7846313934247182 [0.846154,0.894737,0.787879,0.609756] usercpu_time_millis 49.65269300004138 usercpu_time_millis 49.78168899998536 usercpu_time_millis 50.77246900003729 usercpu_time_millis 49.13778200005936 usercpu_time_millis 49.88865000007081 usercpu_time_millis 49.76118700000143 usercpu_time_millis 49.04839999994692 usercpu_time_millis 48.354604999985895 usercpu_time_millis 50.50067900003796 usercpu_time_millis 50.10482600005162 usercpu_time_millis_testing 5.610387000047012 usercpu_time_millis_testing 7.27086199998439 usercpu_time_millis_testing 6.392873000038435 usercpu_time_millis_testing 6.2654520000364755 usercpu_time_millis_testing 6.04802500004098 usercpu_time_millis_testing 5.43153500001381 usercpu_time_millis_testing 6.037594999952489 usercpu_time_millis_testing 6.135637999989285 usercpu_time_millis_testing 6.0412270000256285 usercpu_time_millis_testing 5.874883000046793 usercpu_time_millis_training 44.04230599999437 usercpu_time_millis_training 42.51082700000097 usercpu_time_millis_training 44.379595999998855 usercpu_time_millis_training 42.872330000022885 usercpu_time_millis_training 43.84062500002983 usercpu_time_millis_training 44.32965199998762 usercpu_time_millis_training 43.010804999994434 usercpu_time_millis_training 42.21896699999661 usercpu_time_millis_training 44.459452000012334 usercpu_time_millis_training 44.22994300000482 wall_clock_time_millis 49.741268157958984 wall_clock_time_millis 55.69863319396973 wall_clock_time_millis 51.22494697570801 wall_clock_time_millis 49.335479736328125 wall_clock_time_millis 51.92112922668457 wall_clock_time_millis 52.191734313964844 wall_clock_time_millis 52.60515213012695 wall_clock_time_millis 48.558712005615234 wall_clock_time_millis 50.59242248535156 wall_clock_time_millis 50.23312568664551 wall_clock_time_millis_testing 5.616903305053711 wall_clock_time_millis_testing 13.183116912841797 wall_clock_time_millis_testing 6.400823593139648 wall_clock_time_millis_testing 6.271600723266602 wall_clock_time_millis_testing 6.06536865234375 wall_clock_time_millis_testing 5.436420440673828 wall_clock_time_millis_testing 6.050586700439453 wall_clock_time_millis_testing 6.142616271972656 wall_clock_time_millis_testing 6.049394607543945 wall_clock_time_millis_testing 5.969524383544922 wall_clock_time_millis_training 44.12436485290527 wall_clock_time_millis_training 42.51551628112793 wall_clock_time_millis_training 44.82412338256836 wall_clock_time_millis_training 43.06387901306152 wall_clock_time_millis_training 45.85576057434082 wall_clock_time_millis_training 46.755313873291016 wall_clock_time_millis_training 46.5545654296875 wall_clock_time_millis_training 42.41609573364258 wall_clock_time_millis_training 44.54302787780762 wall_clock_time_millis_training 44.263601303100586 weighted_recall 0.8461538461538461 [0.81448,0.928571,0.818182,0.731707] weighted_recall 0.793040293040293 [0.809955,0.857143,0.606061,0.658537] weighted_recall 0.8351648351648352 [0.827273,0.885714,0.727273,0.771084] weighted_recall 0.8498168498168498 [0.872727,0.92381,0.727273,0.650602] weighted_recall 0.8205128205128205 [0.818182,0.857143,0.909091,0.698795] weighted_recall 0.8351648351648352 [0.859091,0.861905,0.818182,0.710843] weighted_recall 0.8256880733944955 [0.836364,0.852381,0.78125,0.746988] weighted_recall 0.8256880733944955 [0.873303,0.818182,0.84375,0.710843] weighted_recall 0.8568807339449541 [0.837104,0.923445,0.787879,0.768293] weighted_recall 0.8256880733944955 [0.846154,0.894737,0.787879,0.609756]