OpenML
Supervised Classification on boston

Supervised Classification on boston

Task 3736 Supervised Classification boston 654 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.15, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.34, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.33, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.32, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8849, kappa: 0.7619, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8852, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8849, kappa: 0.7619, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8852, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876, usercpu_time_millis: 43.86, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 43.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8895, f_measure: 0.895, kappa: 0.7829, kb_relative_information_score: 395.1717, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.895, predictive_accuracy: 0.8953, prior_entropy: 0.9782, recall: 0.8953, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6573, usercpu_time_millis: 9.15, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 9.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.8766, kappa: 0.7444, kb_relative_information_score: 376.367, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8776, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.2527, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.35, root_relative_squared_error: 0.7109, usercpu_time_millis: 17.42, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 17.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.33, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.29,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.27, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.36, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8346, kappa: 0.6571, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, usercpu_time_millis: 45.44, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 45.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8346, kappa: 0.6571, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, usercpu_time_millis: 45.44, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 45.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8346, kappa: 0.6571, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, usercpu_time_millis: 45.44, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 45.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8346, kappa: 0.6571, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, usercpu_time_millis: 45.44, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 45.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8346, kappa: 0.6571, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, usercpu_time_millis: 45.44, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 45.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8346, kappa: 0.6571, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, usercpu_time_millis: 39.85, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 39.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8948, kappa: 0.7823, kb_relative_information_score: 395.1717, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8952, predictive_accuracy: 0.8953, prior_entropy: 0.9782, recall: 0.8953, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6573, usercpu_time_millis: 17.14, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 17.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8948, kappa: 0.7823, kb_relative_information_score: 395.1717, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8952, predictive_accuracy: 0.8953, prior_entropy: 0.9782, recall: 0.8953, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6573, usercpu_time_millis: 17.14, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 17.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.885, kappa: 0.7623, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8851, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876, usercpu_time_millis: 15.66, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 15.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8948, kappa: 0.7823, kb_relative_information_score: 395.1717, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8952, predictive_accuracy: 0.8953, prior_entropy: 0.9782, recall: 0.8953, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.6573, usercpu_time_millis: 17.14, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 17.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.885, kappa: 0.7623, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8851, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876, usercpu_time_millis: 15.66, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 15.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.885, kappa: 0.7623, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8851, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876, usercpu_time_millis: 15.66, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 15.63,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8728, f_measure: 0.8807, kappa: 0.753, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8815, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 15.63, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 15.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8386, kappa: 0.6653, kb_relative_information_score: 336.6682, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8397, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8126, usercpu_time_millis: 37.08, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 36.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8931, kappa: 0.7793, kb_relative_information_score: 393.0823, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8931, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6635, usercpu_time_millis: 6.54, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 6.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8931, kappa: 0.7793, kb_relative_information_score: 393.0823, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8931, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6635, usercpu_time_millis: 5.41, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 5.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8386, kappa: 0.6653, kb_relative_information_score: 336.6682, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8397, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8126, usercpu_time_millis: 39.44, usercpu_time_millis_testing: 1.2, usercpu_time_millis_training: 38.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8386, kappa: 0.6653, kb_relative_information_score: 336.6682, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8397, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8126, usercpu_time_millis: 34, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 33.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8301, f_measure: 0.8421, kappa: 0.6722, kb_relative_information_score: 340.847, mean_absolute_error: 0.1561, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8446, predictive_accuracy: 0.8439, prior_entropy: 0.9782, recall: 0.8439, relative_absolute_error: 0.322, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.8025, usercpu_time_millis: 116.26, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 116.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8275, f_measure: 0.8384, kappa: 0.6649, kb_relative_information_score: 336.6682, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.84, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8126, usercpu_time_millis: 433.75, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 433.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.8346, kappa: 0.6571, kb_relative_information_score: 332.4894, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8357, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8226, usercpu_time_millis: 36.82, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 36.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.887, kappa: 0.7665, kb_relative_information_score: 386.8141, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8871, predictive_accuracy: 0.8874, prior_entropy: 0.9782, recall: 0.8874, relative_absolute_error: 0.2323, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6817, usercpu_time_millis: 17.48, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 17.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.8386, kappa: 0.6653, kb_relative_information_score: 336.6682, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8397, predictive_accuracy: 0.8399, prior_entropy: 0.9782, recall: 0.8399, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8126, usercpu_time_millis: 35.96, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 35.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8849, kappa: 0.7619, kb_relative_information_score: 384.7247, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8852, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6876, usercpu_time_millis: 6.29, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 6.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8931, kappa: 0.7793, kb_relative_information_score: 393.0823, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8931, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6635, usercpu_time_millis: 6.7, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 5.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8885, f_measure: 0.8931, kappa: 0.7793, kb_relative_information_score: 393.0823, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8931, predictive_accuracy: 0.8933, prior_entropy: 0.9782, recall: 0.8933, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3267, root_relative_squared_error: 0.6635, usercpu_time_millis: 4.95, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 4.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.23,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.25,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: premature end of file, read Token[EOF], line 1
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7541, kappa: 0.5149, kb_relative_information_score: 246.2171, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7853, predictive_accuracy: 0.753, prior_entropy: 0.9782, recall: 0.753, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9584, scimark_benchmark: 1260.4439, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8789, kappa: 0.7494, kb_relative_information_score: 344.1228, mean_absolute_error: 0.1654, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8792, predictive_accuracy: 0.8794, prior_entropy: 0.9782, recall: 0.8794, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.6472, scimark_benchmark: 1339.975, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 326.3759, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6195, scimark_benchmark: 1365.1439, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8357, kappa: 0.6605, kb_relative_information_score: 331.3921, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8208, scimark_benchmark: 1377.5136, usercpu_time_millis: 50, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 342.3593, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6453, scimark_benchmark: 1206.1295, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8776, f_measure: 0.8569, kappa: 0.7036, kb_relative_information_score: 315.3617, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8574, predictive_accuracy: 0.8577, prior_entropy: 0.9782, recall: 0.8577, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7075, scimark_benchmark: 717.8191, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8585, kappa: 0.7067, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8599, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8732, kappa: 0.738, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8396, kappa: 0.6668, kb_relative_information_score: 294.4899, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8436, predictive_accuracy: 0.8419, prior_entropy: 0.9782, recall: 0.8419, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7137, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.8754, kappa: 0.7427, kb_relative_information_score: 328.9004, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8753, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5945, scimark_benchmark: 1925.3565, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7959, kappa: 0.5923, kb_relative_information_score: 247.7644, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8169, predictive_accuracy: 0.7945, prior_entropy: 0.9782, recall: 0.7945, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8419, scimark_benchmark: 1925.3565, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8551, kappa: 0.7001, kb_relative_information_score: 314.3348, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7215, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.7541, kappa: 0.5149, kb_relative_information_score: 246.2171, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.7853, predictive_accuracy: 0.753, prior_entropy: 0.9782, recall: 0.753, relative_absolute_error: 0.5061, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4719, root_relative_squared_error: 0.9584, scimark_benchmark: 1925.3565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8585, kappa: 0.7067, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8599, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8732, kappa: 0.738, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.8769, kappa: 0.7451, kb_relative_information_score: 342.1462, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.3452, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.653, scimark_benchmark: 1925.3565, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 326.3759, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6195, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.8357, kappa: 0.6605, kb_relative_information_score: 331.3921, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8355, predictive_accuracy: 0.836, prior_entropy: 0.9782, recall: 0.836, relative_absolute_error: 0.3413, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8208, scimark_benchmark: 1925.3565, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 342.3593, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6453, scimark_benchmark: 1892.0925, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.867, kappa: 0.7248, kb_relative_information_score: 322.8885, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3375, root_relative_squared_error: 0.6854, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, f_measure: 0.8396, kappa: 0.6668, kb_relative_information_score: 294.4899, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8436, predictive_accuracy: 0.8419, prior_entropy: 0.9782, recall: 0.8419, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7137, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.8752, kappa: 0.7419, kb_relative_information_score: 331.1019, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8752, predictive_accuracy: 0.8755, prior_entropy: 0.9782, recall: 0.8755, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.2886, root_relative_squared_error: 0.5862, scimark_benchmark: 1892.0925, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7959, kappa: 0.5923, kb_relative_information_score: 247.7644, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8169, predictive_accuracy: 0.7945, prior_entropy: 0.9782, recall: 0.7945, relative_absolute_error: 0.5248, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8419, scimark_benchmark: 1892.0925, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8551, kappa: 0.7001, kb_relative_information_score: 314.3348, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8553, predictive_accuracy: 0.8557, prior_entropy: 0.9782, recall: 0.8557, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7215, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 326.3759, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6195, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8433, kappa: 0.6759, kb_relative_information_score: 303.5275, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8433, predictive_accuracy: 0.8439, prior_entropy: 0.9782, recall: 0.8439, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7304, scimark_benchmark: 1834.908, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8848, kappa: 0.7616, kb_relative_information_score: 346.3571, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8853, predictive_accuracy: 0.8854, prior_entropy: 0.9782, recall: 0.8854, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.6396, scimark_benchmark: 1834.908, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 342.3593, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6453, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.8669, kappa: 0.7244, kb_relative_information_score: 342.3593, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8674, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6453, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.8529, kappa: 0.6954, kb_relative_information_score: 325.9775, mean_absolute_error: 0.1789, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8534, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3689, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6571, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8625, kappa: 0.7149, kb_relative_information_score: 301.7161, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8639, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.4369, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6865, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.864, kappa: 0.7176, kb_relative_information_score: 312.195, mean_absolute_error: 0.1995, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8672, predictive_accuracy: 0.8656, prior_entropy: 0.9782, recall: 0.8656, relative_absolute_error: 0.4113, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6429, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9294, f_measure: 0.8775, kappa: 0.7473, kb_relative_information_score: 308.8633, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8775, predictive_accuracy: 0.8775, prior_entropy: 0.9782, recall: 0.8775, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3132, root_relative_squared_error: 0.6362, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.8673, kappa: 0.7259, kb_relative_information_score: 365.92, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8673, predictive_accuracy: 0.8676, prior_entropy: 0.9782, recall: 0.8676, relative_absolute_error: 0.273, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.739, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8585, kappa: 0.7067, kb_relative_information_score: 357.5623, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8599, predictive_accuracy: 0.8597, prior_entropy: 0.9782, recall: 0.8597, relative_absolute_error: 0.2894, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.7608, scimark_benchmark: 1030.6145, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 326.3759, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.3738, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3051, root_relative_squared_error: 0.6195, scimark_benchmark: 1031.5414, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.8433, kappa: 0.6759, kb_relative_information_score: 303.5275, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8433, predictive_accuracy: 0.8439, prior_entropy: 0.9782, recall: 0.8439, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7304, scimark_benchmark: 913.3488, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8685, kappa: 0.7275, kb_relative_information_score: 313.5555, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8698, predictive_accuracy: 0.8696, prior_entropy: 0.9782, recall: 0.8696, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.6565, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8297, kappa: 0.6461, kb_relative_information_score: 297.887, mean_absolute_error: 0.1963, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8406, predictive_accuracy: 0.834, prior_entropy: 0.9782, recall: 0.834, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.7709, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8172, kappa: 0.6203, kb_relative_information_score: 314.14, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8287, predictive_accuracy: 0.8221, prior_entropy: 0.9782, recall: 0.8221, relative_absolute_error: 0.3743, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7535, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8, kappa: 0.5848, kb_relative_information_score: 240.1642, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.802, predictive_accuracy: 0.8024, prior_entropy: 0.9782, recall: 0.8024, relative_absolute_error: 0.5426, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7508, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8535, kappa: 0.6975, kb_relative_information_score: 323.2938, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8534, predictive_accuracy: 0.8538, prior_entropy: 0.9782, recall: 0.8538, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6597, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.8117, kappa: 0.6109, kb_relative_information_score: 265.6492, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8116, predictive_accuracy: 0.8123, prior_entropy: 0.9782, recall: 0.8123, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.7337, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.878, kappa: 0.7469, kb_relative_information_score: 378.4564, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8794, prior_entropy: 0.9782, recall: 0.8794, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.7052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8499, kappa: 0.6907, kb_relative_information_score: 347.1153, mean_absolute_error: 0.1502, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.85, predictive_accuracy: 0.8498, prior_entropy: 0.9782, recall: 0.8498, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.8733, kappa: 0.7384, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8733, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.8732, kappa: 0.738, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8869, f_measure: 0.8621, kappa: 0.7137, kb_relative_information_score: 303.6211, mean_absolute_error: 0.2072, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8649, predictive_accuracy: 0.8636, prior_entropy: 0.9782, recall: 0.8636, relative_absolute_error: 0.4273, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3389, root_relative_squared_error: 0.6882, scimark_benchmark: 1870.7932,

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