10154684 287 Hugo Spee 3820 Supervised Classification predictive_accuracy 8876 sklearn.pipeline.Pipeline(imputer=sklearn.impute.SimpleImputer,estimator=sklearn.tree.tree.DecisionTreeClassifier)(1) 8080265 class_weight null 8847 criterion "gini" 8847 max_depth null 8847 max_features null 8847 max_leaf_nodes null 8847 min_impurity_decrease 0.0 8847 min_impurity_split null 8847 min_samples_leaf 1 8847 min_samples_split 2 8847 min_weight_fraction_leaf 0.0 8847 presort false 8847 random_state 49950 8847 splitter "best" 8847 memory null 8876 copy true 8877 fill_value null 8877 missing_values NaN 8877 strategy "mean" 8877 verbose 0 8877 auto-jupyter-notebook openml-python Sklearn_0.20.1. 957 braziltourism https://www.openml.org/data/download/53491/braziltourism.arff -1 21229940 description https://api.openml.org/data/download/21229940/description.xml -1 21229939 predictions https://api.openml.org/data/download/21229939/predictions.arff area_under_roc_curve 0.6115348588251037 [0.611535,0.611535] average_cost 0 f_measure 0.7214597900014775 [0.815873,0.402062] kappa 0.21816516162805913 kb_relative_information_score 37.637031805428336 mean_absolute_error 0.2815533980582524 mean_prior_absolute_error 0.35291496646498893 number_of_instances 412 [318,94] precision 0.7247628827483197 [0.823718,0.39] predictive_accuracy 0.7184466019417475 prior_entropy 0.7770838015031094 recall 0.7184466019417476 [0.808176,0.414894] relative_absolute_error 0.7977938733470631 root_mean_prior_squared_error 0.41964533283918903 root_mean_squared_error 0.5306160552209596 root_relative_squared_error 1.26443931028847 total_cost 0 area_under_roc_curve 0.60625 [0.60625,0.60625] area_under_roc_curve 0.6875 [0.6875,0.6875] area_under_roc_curve 0.5815972222222222 [0.581597,0.581597] area_under_roc_curve 0.5572916666666666 [0.557292,0.557292] area_under_roc_curve 0.6753472222222222 [0.675347,0.675347] area_under_roc_curve 0.7083333333333334 [0.708333,0.708333] area_under_roc_curve 0.6128472222222222 [0.612847,0.612847] area_under_roc_curve 0.48611111111111116 [0.486111,0.486111] area_under_roc_curve 0.4870967741935484 [0.487097,0.487097] area_under_roc_curve 0.717741935483871 [0.717742,0.717742] 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 0.7142857142857143 [0.8125,0.4] f_measure 0.7817235396182763 [0.861538,0.526316] f_measure 0.6781966001478197 [0.766667,0.363636] f_measure 0.6887544063410558 [0.793651,0.315789] f_measure 0.7956393200295638 [0.878788,0.5] f_measure 0.749501231195068 [0.813559,0.521739] f_measure 0.7172305271439812 [0.806452,0.4] f_measure 0.6408704688550645 [0.761905,0.210526] f_measure 0.6274222140717647 [0.761905,0.210526] f_measure 0.8181436927491446 [0.892308,0.588235] kappa 0.21250000000000002 kappa 0.3883495145631067 kappa 0.1407185628742517 kappa 0.1101836393989985 kappa 0.3811320754716982 kappa 0.3473227206946453 kappa 0.20900321543408357 kappa -0.026711185308848025 kappa -0.026711185308848025 kappa 0.48473967684021535 kb_relative_information_score 4.213476294344378 kb_relative_information_score 13.863808812153904 kb_relative_information_score -4.952900255000731 kb_relative_information_score -1.736122749064212 kb_relative_information_score 14.347764780618334 kb_relative_information_score 4.697432262808807 kb_relative_information_score 1.4806547568722956 kb_relative_information_score -8.16967776093723 kb_relative_information_score -5.920812191929576 kb_relative_information_score 19.813407855562495 mean_absolute_error 0.2857142857142857 mean_absolute_error 0.21428571428571427 mean_absolute_error 0.34146341463414637 mean_absolute_error 0.3170731707317073 mean_absolute_error 0.1951219512195122 mean_absolute_error 0.2682926829268293 mean_absolute_error 0.2926829268292683 mean_absolute_error 0.36585365853658536 mean_absolute_error 0.36585365853658536 mean_absolute_error 0.17073170731707318 mean_prior_absolute_error 0.35829307568437985 mean_prior_absolute_error 0.35829307568437985 mean_prior_absolute_error 0.34823848238482363 mean_prior_absolute_error 0.34823848238482363 mean_prior_absolute_error 0.34823848238482363 mean_prior_absolute_error 0.34823848238482363 mean_prior_absolute_error 0.34823848238482363 mean_prior_absolute_error 0.34823848238482363 mean_prior_absolute_error 0.36143513609049116 mean_prior_absolute_error 0.36143513609049116 number_of_instances 42 [32,10] number_of_instances 42 [32,10] number_of_instances 41 [32,9] number_of_instances 41 [32,9] number_of_instances 41 [32,9] number_of_instances 41 [32,9] number_of_instances 41 [32,9] number_of_instances 41 [32,9] number_of_instances 41 [31,10] number_of_instances 41 [31,10] precision 0.7142857142857143 [0.8125,0.4] precision 0.7787397787397787 [0.848485,0.555556] precision 0.7086571964620745 [0.821429,0.307692] precision 0.6952793076317859 [0.806452,0.3] precision 0.7911457265833162 [0.852941,0.571429] precision 0.7878435927216414 [0.888889,0.428571] precision 0.7302291204730229 [0.833333,0.363636] precision 0.6481510621557829 [0.774194,0.2] precision 0.6212737127371274 [0.75,0.222222] precision 0.8191227710596434 [0.852941,0.714286] predictive_accuracy 0.7142857142857143 predictive_accuracy 0.7857142857142857 predictive_accuracy 0.6585365853658537 predictive_accuracy 0.6829268292682927 predictive_accuracy 0.8048780487804877 predictive_accuracy 0.7317073170731707 predictive_accuracy 0.7073170731707318 predictive_accuracy 0.6341463414634146 predictive_accuracy 0.6341463414634146 predictive_accuracy 0.8292682926829268 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 prior_entropy 0.7770838015031094 recall 0.7142857142857143 [0.8125,0.4] recall 0.7857142857142857 [0.875,0.5] recall 0.6585365853658537 [0.71875,0.444444] recall 0.6829268292682927 [0.78125,0.333333] recall 0.8048780487804879 [0.90625,0.444444] recall 0.7317073170731707 [0.75,0.666667] recall 0.7073170731707317 [0.78125,0.444444] recall 0.6341463414634146 [0.75,0.222222] recall 0.6341463414634146 [0.774194,0.2] recall 0.8292682926829268 [0.935484,0.5] relative_absolute_error 0.797431781701445 relative_absolute_error 0.5980738362760838 relative_absolute_error 0.9805447470817127 relative_absolute_error 0.9105058365758761 relative_absolute_error 0.560311284046693 relative_absolute_error 0.7704280155642028 relative_absolute_error 0.8404669260700394 relative_absolute_error 1.0505836575875493 relative_absolute_error 1.0122249388753062 relative_absolute_error 0.47237163814180955 root_mean_prior_squared_error 0.4260050640463162 root_mean_prior_squared_error 0.4260050640463162 root_mean_prior_squared_error 0.41403589372607513 root_mean_prior_squared_error 0.41403589372607513 root_mean_prior_squared_error 0.41403589372607513 root_mean_prior_squared_error 0.41403589372607513 root_mean_prior_squared_error 0.41403589372607513 root_mean_prior_squared_error 0.41403589372607513 root_mean_prior_squared_error 0.4296770589631442 root_mean_prior_squared_error 0.4296770589631442 root_mean_squared_error 0.5345224838248488 root_mean_squared_error 0.4629100498862757 root_mean_squared_error 0.5843487097907776 root_mean_squared_error 0.563092506371473 root_mean_squared_error 0.4417261042993862 root_mean_squared_error 0.5179697702828122 root_mean_squared_error 0.5410017808004594 root_mean_squared_error 0.6048583789091339 root_mean_squared_error 0.6048583789091339 root_mean_squared_error 0.4131969352706687 root_relative_squared_error 1.254732699061846 root_relative_squared_error 1.0866303923465734 root_relative_squared_error 1.4113479498890522 root_relative_squared_error 1.3600089144541976 root_relative_squared_error 1.0668787682249377 root_relative_squared_error 1.2510262470758138 root_relative_squared_error 1.306654299780068 root_relative_squared_error 1.4608839187003104 root_relative_squared_error 1.4077046151095909 root_relative_squared_error 0.9616453256028056 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 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 15.625 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_testing 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 15.625 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0 usercpu_time_millis_training 0