10571801 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) 8288083 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 0.8125401364879201 19034 max_leaf_nodes null 19034 min_impurity_decrease 0.0 19034 min_samples_leaf 15 19034 min_samples_split 12 19034 min_weight_fraction_leaf 0.0 19034 random_state 4424 19034 splitter "best" 19034 openml-python Sklearn_1.0.1. 1497 wall-robot-navigation https://www.openml.org/data/download/1592289/phpVeNa5j -1 22069869 description https://api.openml.org/data/download/22069869/description.xml -1 22069870 predictions https://api.openml.org/data/download/22069870/predictions.arff area_under_roc_curve 0.9974717618348148 [0.997093,0.999207,0.990766,0.99674] average_cost 0 f_measure 0.9862339899217133 [0.987526,0.992156,0.978462,0.970838] kappa 0.9792289641232638 kb_relative_information_score 0.976167229389757 mean_absolute_error 0.009299839992740923 mean_prior_absolute_error 0.3312381502905654 weighted_recall 0.9862536656891495 [0.987302,0.995231,0.969512,0.967312] number_of_instances 5456 [2205,2097,328,826] precision 0.9862355687333835 [0.98775,0.9891,0.987578,0.97439] predictive_accuracy 0.9862536656891495 prior_entropy 1.7146330399083418 relative_absolute_error 0.02807599301162324 root_mean_prior_squared_error 0.40694354051108633 root_mean_squared_error 0.07345151111977934 root_relative_squared_error 0.18049558183803707 total_cost 0 unweighted_recall 0.9798393534691876 [0.987302,0.995231,0.969512,0.967312] area_under_roc_curve 0.995731915018776 [0.995231,0.99684,0.999911,0.992562] area_under_roc_curve 0.9916275442875973 [0.99127,0.997569,0.938537,0.998738] area_under_roc_curve 0.9968076064612544 [0.99595,0.99842,0.98473,0.999805] area_under_roc_curve 0.9967656980887389 [0.996779,0.999901,0.999941,0.987535] area_under_roc_curve 0.99992821923446 [0.999909,0.999943,0.999941,0.999935] area_under_roc_curve 0.9985798924563837 [0.997211,1,0.99997,0.998061] area_under_roc_curve 0.9998365441213587 [0.999776,0.999872,1,0.999844] area_under_roc_curve 0.9988068025529799 [0.997584,0.999915,1,0.998813] area_under_roc_curve 0.9989105847504239 [0.999756,0.999929,0.984848,0.999697] area_under_roc_curve 0.9976155715837841 [0.997137,0.99995,0.999941,0.992019] 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 0.9872147114912216 [0.990868,0.988124,0.985075,0.975904] f_measure 0.9813933320808451 [0.981982,0.992874,0.918033,0.975904] f_measure 0.9889893046158775 [0.98861,0.992908,0.984615,0.981818] f_measure 0.9871333342251548 [0.988713,0.99284,0.985075,0.969325] f_measure 0.9963518762435105 [0.997722,0.997613,0.985075,0.994012] f_measure 0.9834730125741518 [0.986301,0.990566,0.984615,0.957576] f_measure 0.9834009269308942 [0.988662,0.985782,0.984615,0.962963] f_measure 0.9945089161602925 [0.995455,0.995215,1,0.988095] f_measure 0.9852886078006056 [0.986364,0.990521,0.984615,0.969325] f_measure 0.9741999494735291 [0.970917,0.995215,0.96875,0.931677] kappa 0.9806812610253793 kappa 0.9722435450991557 kappa 0.9833995459704882 kappa 0.9806386901987802 kappa 0.9944835111542192 kappa 0.9751005806824284 kappa 0.9750091709464418 kappa 0.9916948584316234 kappa 0.9778016506203828 kappa 0.9610509604537076 kb_relative_information_score 0.9795772133397621 kb_relative_information_score 0.9652909359901158 kb_relative_information_score 0.9754388691519231 kb_relative_information_score 0.9772990898744055 kb_relative_information_score 0.9878782700506531 kb_relative_information_score 0.9732175130717774 kb_relative_information_score 0.9765460765745436 kb_relative_information_score 0.9877418248846659 kb_relative_information_score 0.9786424279296179 kb_relative_information_score 0.9600406637233193 mean_absolute_error 0.008443952025522582 mean_absolute_error 0.010971923607793173 mean_absolute_error 0.009877619686928027 mean_absolute_error 0.008616479306134475 mean_absolute_error 0.0055091809899502206 mean_absolute_error 0.010823647556384127 mean_absolute_error 0.009779149709135224 mean_absolute_error 0.005717044905842588 mean_absolute_error 0.0074721494102228045 mean_absolute_error 0.015790108209832985 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 0.9873902167502071 [1,0.985782,0.970588,0.964286] precision 0.9819152935782816 [0.977578,0.990521,1,0.964286] precision 0.9890493149800076 [0.990868,0.985915,1,0.987805] precision 0.9872544665474422 [0.982063,0.995215,0.970588,0.9875] precision 0.9964126676311551 [1,1,0.970588,0.988095] precision 0.9835528065300977 [0.990826,0.981308,1,0.963415] precision 0.9835430837222031 [0.986425,0.981132,0.969697,0.987342] precision 0.9945817593092282 [1,0.995215,1,0.976471] precision 0.9853801122434582 [0.990868,0.981221,1,0.975309] precision 0.9743985620368267 [0.960177,0.995215,1,0.949367] predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9816849816849818 predictive_accuracy 0.989010989010989 predictive_accuracy 0.9871794871794871 predictive_accuracy 0.9963369963369964 predictive_accuracy 0.9835164835164835 predictive_accuracy 0.9834862385321101 predictive_accuracy 0.9944954128440366 predictive_accuracy 0.9853211009174312 predictive_accuracy 0.9743119266055047 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 0.025499380839894704 relative_absolute_error 0.03313344957144456 relative_absolute_error 0.0298080079542803 relative_absolute_error 0.026002224405850368 relative_absolute_error 0.016625231176629583 relative_absolute_error 0.032662866427424074 relative_absolute_error 0.02953350047723162 relative_absolute_error 0.01726669572120275 relative_absolute_error 0.022561783968816175 relative_absolute_error 0.047677447373721586 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 0.07557152828913152 root_mean_squared_error 0.08827855524322954 root_mean_squared_error 0.07135882344706942 root_mean_squared_error 0.07356632674688468 root_mean_squared_error 0.05227784344529013 root_mean_squared_error 0.07916035630151243 root_mean_squared_error 0.0702907260406531 root_mean_squared_error 0.05224570169972466 root_mean_squared_error 0.06669287627228304 root_mean_squared_error 0.09393698341836297 root_relative_squared_error 0.18575833277927456 root_relative_squared_error 0.21699279627382875 root_relative_squared_error 0.17528087988981042 root_relative_squared_error 0.18070323836014432 root_relative_squared_error 0.1284116799463365 root_relative_squared_error 0.1944440257652515 root_relative_squared_error 0.1727897965660336 root_relative_squared_error 0.12843826906552525 root_relative_squared_error 0.16391305337533676 root_relative_squared_error 0.23087170081119018 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 0.9900453802534147 [0.9819,0.990476,1,0.987805] unweighted_recall 0.9544882902845601 [0.986425,0.995238,0.848485,0.987805] unweighted_recall 0.9829910551296094 [0.986364,1,0.969697,0.975904] unweighted_recall 0.9844344912115996 [0.995455,0.990476,1,0.951807] unweighted_recall 0.9976731601731602 [0.995455,0.995238,1,1] unweighted_recall 0.9758305951077035 [0.981818,1,0.969697,0.951807] unweighted_recall 0.980286079382465 [0.990909,0.990476,1,0.939759] unweighted_recall 0.9965413843122821 [0.99095,0.995215,1,1] unweighted_recall 0.9787530140829998 [0.9819,1,0.969697,0.963415] unweighted_recall 0.9577859623072188 [0.9819,0.995215,0.939394,0.914634] usercpu_time_millis 109.61296899995432 usercpu_time_millis 114.53188300004058 usercpu_time_millis 115.3115449999973 usercpu_time_millis 110.11411700002327 usercpu_time_millis 111.52204000006805 usercpu_time_millis 113.79490699999906 usercpu_time_millis 115.24195500004453 usercpu_time_millis 110.8239229999981 usercpu_time_millis 107.69705100000238 usercpu_time_millis 111.7326799999887 usercpu_time_millis_testing 5.643765000002077 usercpu_time_millis_testing 6.730443000037667 usercpu_time_millis_testing 5.98867399997971 usercpu_time_millis_testing 5.979227000011633 usercpu_time_millis_testing 5.466674000047078 usercpu_time_millis_testing 5.656745999999657 usercpu_time_millis_testing 6.275735000031091 usercpu_time_millis_testing 6.211688000007598 usercpu_time_millis_testing 5.811386000004859 usercpu_time_millis_testing 6.126169999959075 usercpu_time_millis_training 103.96920399995224 usercpu_time_millis_training 107.80144000000291 usercpu_time_millis_training 109.32287100001759 usercpu_time_millis_training 104.13489000001164 usercpu_time_millis_training 106.05536600002097 usercpu_time_millis_training 108.1381609999994 usercpu_time_millis_training 108.96622000001344 usercpu_time_millis_training 104.6122349999905 usercpu_time_millis_training 101.88566499999752 usercpu_time_millis_training 105.60651000002963 wall_clock_time_millis 109.99345779418945 wall_clock_time_millis 117.36083030700684 wall_clock_time_millis 127.72870063781738 wall_clock_time_millis 112.99872398376465 wall_clock_time_millis 114.46571350097656 wall_clock_time_millis 114.12334442138672 wall_clock_time_millis 122.00546264648438 wall_clock_time_millis 111.0849380493164 wall_clock_time_millis 108.18600654602051 wall_clock_time_millis 112.32829093933105 wall_clock_time_millis_testing 5.65028190612793 wall_clock_time_millis_testing 8.148670196533203 wall_clock_time_millis_testing 5.992889404296875 wall_clock_time_millis_testing 5.987405776977539 wall_clock_time_millis_testing 5.474090576171875 wall_clock_time_millis_testing 5.702018737792969 wall_clock_time_millis_testing 6.28352165222168 wall_clock_time_millis_testing 6.219625473022461 wall_clock_time_millis_testing 5.817651748657227 wall_clock_time_millis_testing 6.1321258544921875 wall_clock_time_millis_training 104.34317588806152 wall_clock_time_millis_training 109.21216011047363 wall_clock_time_millis_training 121.73581123352051 wall_clock_time_millis_training 107.01131820678711 wall_clock_time_millis_training 108.99162292480469 wall_clock_time_millis_training 108.42132568359375 wall_clock_time_millis_training 115.7219409942627 wall_clock_time_millis_training 104.86531257629395 wall_clock_time_millis_training 102.36835479736328 wall_clock_time_millis_training 106.19616508483887 weighted_recall 0.9871794871794872 [0.9819,0.990476,1,0.987805] weighted_recall 0.9816849816849816 [0.986425,0.995238,0.848485,0.987805] weighted_recall 0.989010989010989 [0.986364,1,0.969697,0.975904] weighted_recall 0.9871794871794872 [0.995455,0.990476,1,0.951807] weighted_recall 0.9963369963369964 [0.995455,0.995238,1,1] weighted_recall 0.9835164835164835 [0.981818,1,0.969697,0.951807] weighted_recall 0.9834862385321101 [0.990909,0.990476,1,0.939759] weighted_recall 0.9944954128440368 [0.99095,0.995215,1,1] weighted_recall 0.9853211009174312 [0.9819,1,0.969697,0.963415] weighted_recall 0.9743119266055046 [0.9819,0.995215,0.939394,0.914634]