Task
Supervised Classification on hepatitis

Supervised Classification on hepatitis

Task 54 Supervised Classification hepatitis 834 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_50 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.7958, kappa: 0.3842, kb_relative_information_score: 28.4511, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7984, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.7159, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.9291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7831, kappa: 0.3269, kb_relative_information_score: 38.2666, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.1399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8041, kappa: 0.3953, kb_relative_information_score: 34.4611, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8021, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.77, kappa: 0.2861, kb_relative_information_score: 31.2823, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7664, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.6194, kappa: 0.183, kb_relative_information_score: -81.1688, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7689, predictive_accuracy: 0.5806, prior_entropy: 0.7418, recall: 0.5806, relative_absolute_error: 1.3087, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.6448, root_relative_squared_error: 1.5929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.8105, kappa: 0.4354, kb_relative_information_score: 0.1673, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8158, predictive_accuracy: 0.8065, prior_entropy: 0.7347, recall: 0.8065, relative_absolute_error: 0.7256, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6537, f_measure: 0.778, kappa: 0.3147, kb_relative_information_score: 34.7744, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7756, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4684, root_relative_squared_error: 1.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.7696, kappa: 0.326, kb_relative_information_score: 26.3794, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7809, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7806, kappa: 0.3305, kb_relative_information_score: 34.7744, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4684, root_relative_squared_error: 1.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7958, kappa: 0.3842, kb_relative_information_score: 24.0477, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7984, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.7315, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7831, kappa: 0.3269, kb_relative_information_score: 38.2666, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.1399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.8286, kappa: 0.4862, kb_relative_information_score: 34.0204, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8322, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.8947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.7677, kappa: 0.2912, kb_relative_information_score: 27.7901, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7677, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.1906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7883, kappa: 0.3577, kb_relative_information_score: 23.4788, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7896, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7806, kappa: 0.3305, kb_relative_information_score: 34.7744, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4684, root_relative_squared_error: 1.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8232, kappa: 0.473, kb_relative_information_score: 33.3094, mean_absolute_error: 0.2265, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8282, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6865, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.8724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7806, kappa: 0.3305, kb_relative_information_score: 34.7744, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7806, predictive_accuracy: 0.7806, prior_entropy: 0.7418, recall: 0.7806, relative_absolute_error: 0.665, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4684, root_relative_squared_error: 1.1571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8232, kappa: 0.473, kb_relative_information_score: 39.6594, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8282, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.663, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.345, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6734, f_measure: 0.7911, kappa: 0.355, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7889, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7879, f_measure: 0.8086, kappa: 0.4226, kb_relative_information_score: 31.9681, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.811, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.9261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.7831, kappa: 0.3269, kb_relative_information_score: 38.2666, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.1399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8036, f_measure: 0.8032, kappa: 0.4101, kb_relative_information_score: 24.4198, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8071, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.7935, kappa: 0.3522, kb_relative_information_score: 45.2509, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.789, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4472, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.6922, kappa: -0.0355, kb_relative_information_score: -6.9261, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.652, predictive_accuracy: 0.7548, prior_entropy: 0.7418, recall: 0.7548, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 1 downloads - 1 reach - area_under_roc_curve: 0.7847, f_measure: 0.8086, kappa: 0.4226, kb_relative_information_score: 26.7121, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.811, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.7217, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7534, kappa: 0.3253, kb_relative_information_score: 10.245, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.788, predictive_accuracy: 0.7355, prior_entropy: 0.7418, recall: 0.7355, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.7677, kappa: 0.2912, kb_relative_information_score: 27.7901, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7677, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.7041, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.1906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6103, f_measure: 0.6922, kappa: -0.0355, kb_relative_information_score: -6.9261, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.652, predictive_accuracy: 0.7548, prior_entropy: 0.7418, recall: 0.7548, relative_absolute_error: 0.9154, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.0364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 41.7587, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.3299, number_of_instances: 155, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.6259, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4544, root_relative_squared_error: 1.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7831, kappa: 0.3269, kb_relative_information_score: 20.8701, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7799, predictive_accuracy: 0.7871, prior_entropy: 0.7418, recall: 0.7871, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.734, f_measure: 0.7534, kappa: 0.3253, kb_relative_information_score: 10.245, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.788, predictive_accuracy: 0.7355, prior_entropy: 0.7418, recall: 0.7355, relative_absolute_error: 0.8032, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4907, root_relative_squared_error: 1.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6496, f_measure: 0.7729, kappa: 0.3028, kb_relative_information_score: 31.2823, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7716, predictive_accuracy: 0.7742, prior_entropy: 0.7418, recall: 0.7742, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8469, kappa: 0.5381, kb_relative_information_score: 57.9593, mean_absolute_error: 0.188, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8489, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.7702, kappa: 0.2483, kb_relative_information_score: 30.3501, mean_absolute_error: 0.2428, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7636, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8429, kappa: 0.5346, kb_relative_information_score: 63.4456, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8491, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.8274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5667, f_measure: 0.746, kappa: 0.1869, kb_relative_information_score: 10.1278, mean_absolute_error: 0.2841, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7361, predictive_accuracy: 0.7613, prior_entropy: 0.7418, recall: 0.7613, relative_absolute_error: 0.8614, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.8374, kappa: 0.5213, kb_relative_information_score: 65.7886, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8452, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.495, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6668, f_measure: 0.831, kappa: 0.4644, kb_relative_information_score: 39.5151, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.828, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3877, root_relative_squared_error: 0.9577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.8378, kappa: 0.502, kb_relative_information_score: 63.1867, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8369, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.8229, kappa: 0.4359, kb_relative_information_score: 57.9887, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8196, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5637, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8041, kappa: 0.3953, kb_relative_information_score: 51.0906, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8021, predictive_accuracy: 0.8065, prior_entropy: 0.7418, recall: 0.8065, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, f_measure: 0.8469, kappa: 0.5381, kb_relative_information_score: 69.1796, mean_absolute_error: 0.159, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8489, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3485, root_relative_squared_error: 0.8611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8226, kappa: 0.4493, kb_relative_information_score: 58.1162, mean_absolute_error: 0.1784, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8201, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8155, f_measure: 0.8248, kappa: 0.4622, kb_relative_information_score: 43.0057, mean_absolute_error: 0.2117, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8238, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 42.9305, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6439, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.8831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.8412, kappa: 0.5045, kb_relative_information_score: 63.0897, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8388, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5261, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7872, kappa: 0.3187, kb_relative_information_score: 25.9169, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.781, predictive_accuracy: 0.8, prior_entropy: 0.7418, recall: 0.8, relative_absolute_error: 0.7551, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.7616, kappa: 0.1969, kb_relative_information_score: 16.1154, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7962, predictive_accuracy: 0.8129, prior_entropy: 0.7418, recall: 0.8129, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4668, f_measure: 0.7022, kb_relative_information_score: -0.9801, mean_absolute_error: 0.3302, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.6297, predictive_accuracy: 0.7935, prior_entropy: 0.7418, recall: 0.7935, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.8477, kappa: 0.5102, kb_relative_information_score: 51.3745, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8482, predictive_accuracy: 0.8581, prior_entropy: 0.7418, recall: 0.8581, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8256, kappa: 0.4499, kb_relative_information_score: 45.6633, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8222, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 48.2357, mean_absolute_error: 0.2009, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.8536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.839, kappa: 0.4922, kb_relative_information_score: 55.3768, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8363, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 14.6616, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8754, f_measure: 0.8358, kappa: 0.5107, kb_relative_information_score: 62.6306, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8406, predictive_accuracy: 0.8323, prior_entropy: 0.7418, recall: 0.8323, relative_absolute_error: 0.5025, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.8284, kappa: 0.4506, kb_relative_information_score: 66.2038, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.826, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.8413, kappa: 0.5242, kb_relative_information_score: 60.0642, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8447, predictive_accuracy: 0.8387, prior_entropy: 0.7418, recall: 0.8387, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.8309, kappa: 0.4513, kb_relative_information_score: 69.696, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8323, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6822, f_measure: 0.8146, kappa: 0.4066, kb_relative_information_score: 59.2195, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.811, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5281, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.7649, kappa: 0.2744, kb_relative_information_score: 22.8626, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.7624, predictive_accuracy: 0.7677, prior_entropy: 0.7418, recall: 0.7677, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.1301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8345, kappa: 0.5283, kb_relative_information_score: 58.9679, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8521, predictive_accuracy: 0.8258, prior_entropy: 0.7418, recall: 0.8258, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.8062, kappa: 0.3766, kb_relative_information_score: 37.8151, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.8022, predictive_accuracy: 0.8194, prior_entropy: 0.7418, recall: 0.8194, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3414, root_relative_squared_error: 0.8434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.8484, kappa: 0.5483, kb_relative_information_score: 68.1521, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3299, number_of_instances: 155, precision: 0.853, predictive_accuracy: 0.8452, prior_entropy: 0.7418, recall: 0.8452, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.4048, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.834,

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

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

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

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