OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261558 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1295.8288, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1300.4954, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1298.9835, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1337.4488, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1290.7198, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1305.7595, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1296.8702, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1303.5902, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1306.9166, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1291.9387, usercpu_time_millis: 0.095, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1277.158, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1284.0367, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1296.2404, usercpu_time_millis: 0.088, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1285.2033, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1276.2842, usercpu_time_millis: 0.098, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1296.5558, usercpu_time_millis: 0.117, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1293.5159, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1294.9019, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1299.2283, usercpu_time_millis: 0.107, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1303.7742, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1305.9486, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1280.9023, usercpu_time_millis: 0.094, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6034, f_measure: 0.6195, kappa: 0.1597, kb_relative_information_score: 60.8972, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7041, predictive_accuracy: 0.6922, prior_entropy: 0.9279, recall: 0.6922, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.956, scimark_benchmark: 1299.351, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1304.933, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1288.8387, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1291.3784, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1275.6883, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5551, f_measure: 0.5999, kappa: 0.1035, kb_relative_information_score: 18.0023, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6256, predictive_accuracy: 0.6622, prior_entropy: 0.9279, recall: 0.6622, relative_absolute_error: 0.9628, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9945, scimark_benchmark: 1303.7996, usercpu_time_millis: 0.1, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1299.8775, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1306.7619, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1283.9339, usercpu_time_millis: 0.104, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1291.2661, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1310.1774, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1300.8728, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1311.3382, usercpu_time_millis: 0.086, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.054,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1287.2576, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1288.283, usercpu_time_millis: 0.092, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1306.2728, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1283.225, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1293.2426, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1282.8362, usercpu_time_millis: 0.097, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1282.6286, usercpu_time_millis: 6.335, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 6.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1280.2586, usercpu_time_millis: 12.453, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 12.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5213, kb_relative_information_score: -41.2559, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0361, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0061, scimark_benchmark: 1305.7928, usercpu_time_millis: 15.684, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 15.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.2758, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0076, scimark_benchmark: 1300.7185, usercpu_time_millis: 21.356, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 21.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1319.5505, usercpu_time_millis: 40.403, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 40.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1322.9463, usercpu_time_millis: 2.89, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 2.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -0.0342, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1347.3882, usercpu_time_millis: 16.194, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 16.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1229, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1352.7369, usercpu_time_millis: 26.901, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 26.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1348.8503, usercpu_time_millis: 25.277, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 25.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5213, kb_relative_information_score: -9.6133, mean_absolute_error: 0.4479, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0013, scimark_benchmark: 1354.8312, usercpu_time_millis: 30.105, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 30.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1341.607, usercpu_time_millis: 6.882, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.6778, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0086, scimark_benchmark: 1340.9676, usercpu_time_millis: 8.942, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 8.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8696, f_measure: 0.7325, kappa: 0.3909, kb_relative_information_score: 150.8618, mean_absolute_error: 0.3448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7452, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.8338, scimark_benchmark: 1358.0511, usercpu_time_millis: 11.097, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 11.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1330.4639, usercpu_time_millis: 39.936, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 39.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5213, kb_relative_information_score: 0.1192, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1331.342, usercpu_time_millis: 19.081, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 19.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.5213, kb_relative_information_score: -26.2003, mean_absolute_error: 0.4609, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0226, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1348.518, usercpu_time_millis: 26.973, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 26.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5213, kb_relative_information_score: -2.1184, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1343.7541, usercpu_time_millis: 24.972, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.542, f_measure: 0.5165, kappa: -0.0198, kb_relative_information_score: -12.1576, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4297, predictive_accuracy: 0.6473, prior_entropy: 0.9279, recall: 0.6473, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0055, scimark_benchmark: 1321.2961, usercpu_time_millis: 41.569, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 41.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5213, kb_relative_information_score: -5.2307, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1332.534, usercpu_time_millis: 18.486, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 18.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.5165, kappa: -0.0198, kb_relative_information_score: -0.4789, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4297, predictive_accuracy: 0.6473, prior_entropy: 0.9279, recall: 0.6473, relative_absolute_error: 0.9791, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4706, root_relative_squared_error: 0.9915, scimark_benchmark: 1344.8345, usercpu_time_millis: 21.697, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 21.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.6199, kappa: 0.1468, kb_relative_information_score: 91.1996, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6542, predictive_accuracy: 0.6772, prior_entropy: 0.9279, recall: 0.6772, relative_absolute_error: 0.8544, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.897, scimark_benchmark: 1305.3742, usercpu_time_millis: 18.861, usercpu_time_millis_testing: 0.203, usercpu_time_millis_training: 18.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5213, kb_relative_information_score: -12.0097, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005, scimark_benchmark: 1303.4926, usercpu_time_millis: 8.125, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 8.062,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs