Task
Supervised Classification on jEdit_4.2_4.3

Supervised Classification on jEdit_4.2_4.3

Task 3901 Supervised Classification jEdit_4.2_4.3 568 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6092, f_measure: 0.6061, kappa: 0.202, kb_relative_information_score: 55.223, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6056, predictive_accuracy: 0.607, prior_entropy: 0.992, recall: 0.607, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5628, root_relative_squared_error: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5851, f_measure: 0.5703, kappa: 0.1688, kb_relative_information_score: 19.5965, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5988, predictive_accuracy: 0.5745, prior_entropy: 0.992, recall: 0.5745, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5901, kappa: 0.1781, kb_relative_information_score: 18.8498, mean_absolute_error: 0.4748, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6039, predictive_accuracy: 0.607, prior_entropy: 0.992, recall: 0.607, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4918, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.6218, kappa: 0.2332, kb_relative_information_score: 86.4835, mean_absolute_error: 0.3767, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6213, predictive_accuracy: 0.6233, prior_entropy: 0.992, recall: 0.6233, relative_absolute_error: 0.7619, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6138, root_relative_squared_error: 1.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6472, f_measure: 0.6325, kappa: 0.2622, kb_relative_information_score: 44.05, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6365, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.6083, kappa: 0.2061, kb_relative_information_score: 30.3309, mean_absolute_error: 0.4592, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6078, predictive_accuracy: 0.6098, prior_entropy: 0.992, recall: 0.6098, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5712, f_measure: 0.4816, kappa: 0.1344, kb_relative_information_score: 11.4474, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6452, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.9718, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.49, root_relative_squared_error: 0.9855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.6594, kappa: 0.3141, kb_relative_information_score: 69.9992, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6616, predictive_accuracy: 0.6585, prior_entropy: 0.992, recall: 0.6585, relative_absolute_error: 0.8308, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.4895, kappa: 0.1372, kb_relative_information_score: 22.2209, mean_absolute_error: 0.4643, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6387, predictive_accuracy: 0.5393, prior_entropy: 0.992, recall: 0.5393, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5711, root_relative_squared_error: 1.1485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.631, kappa: 0.2528, kb_relative_information_score: 48.4779, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6306, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.4776, kappa: 0.1298, kb_relative_information_score: 23.1478, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6424, predictive_accuracy: 0.5339, prior_entropy: 0.992, recall: 0.5339, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6454, kappa: 0.2808, kb_relative_information_score: 78.5076, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6455, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.7997, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7031, f_measure: 0.6466, kappa: 0.2834, kb_relative_information_score: 89.1578, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.648, predictive_accuracy: 0.6504, prior_entropy: 0.992, recall: 0.6504, relative_absolute_error: 0.7683, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4932, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 14.8132, mean_absolute_error: 0.4722, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.955, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5706, root_relative_squared_error: 1.1476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.6782, kappa: 0.3519, kb_relative_information_score: 92.8217, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6802, predictive_accuracy: 0.6775, prior_entropy: 0.992, recall: 0.6775, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.9999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6656, f_measure: 0.6295, kappa: 0.253, kb_relative_information_score: 80.1891, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.631, predictive_accuracy: 0.6287, prior_entropy: 0.992, recall: 0.6287, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5322, root_relative_squared_error: 1.0704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.5015, kappa: 0.1575, kb_relative_information_score: 36.0569, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6584, predictive_accuracy: 0.5501, prior_entropy: 0.992, recall: 0.5501, relative_absolute_error: 0.8973, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5947, root_relative_squared_error: 1.1961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6899, f_measure: 0.6472, kappa: 0.2858, kb_relative_information_score: 70.0992, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6469, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4809, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.6374, kappa: 0.2646, kb_relative_information_score: 86.7379, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6373, predictive_accuracy: 0.6396, prior_entropy: 0.992, recall: 0.6396, relative_absolute_error: 0.7684, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5575, root_relative_squared_error: 1.1212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3936, kb_relative_information_score: -0.0596, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.6618, kappa: 0.3176, kb_relative_information_score: 85.9758, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6628, predictive_accuracy: 0.6612, prior_entropy: 0.992, recall: 0.6612, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4682, root_relative_squared_error: 0.9417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.715, f_measure: 0.6784, kappa: 0.3479, kb_relative_information_score: 54.0857, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6786, predictive_accuracy: 0.6802, prior_entropy: 0.992, recall: 0.6802, relative_absolute_error: 0.8766, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4618, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3936, kb_relative_information_score: -0.0596, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.649, f_measure: 0.6154, kappa: 0.2226, kb_relative_information_score: 58.0676, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6156, predictive_accuracy: 0.6152, prior_entropy: 0.992, recall: 0.6152, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5074, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4866, f_measure: 0.3936, kb_relative_information_score: -0.0229, mean_absolute_error: 0.4945, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6697, kappa: 0.3302, kb_relative_information_score: 79.0861, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6703, predictive_accuracy: 0.6721, prior_entropy: 0.992, recall: 0.6721, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6753, kappa: 0.3445, kb_relative_information_score: 77.0973, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6761, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.4776, kappa: 0.1298, kb_relative_information_score: 21.9912, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6424, predictive_accuracy: 0.5339, prior_entropy: 0.992, recall: 0.5339, relative_absolute_error: 0.9336, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6427, root_relative_squared_error: 1.2926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.6377, kappa: 0.2655, kb_relative_information_score: 41.0986, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6375, predictive_accuracy: 0.6396, prior_entropy: 0.992, recall: 0.6396, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4795, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6274, f_measure: 0.633, kappa: 0.2561, kb_relative_information_score: 94.6125, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6325, predictive_accuracy: 0.6341, prior_entropy: 0.992, recall: 0.6341, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6049, root_relative_squared_error: 1.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 25.4758, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.636, root_relative_squared_error: 1.2792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6486, kappa: 0.298, kb_relative_information_score: 79.8509, mean_absolute_error: 0.3909, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6559, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.7907, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6232, f_measure: 0.6294, kappa: 0.2485, kb_relative_information_score: 92.5803, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6292, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6071, root_relative_squared_error: 1.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3936, kb_relative_information_score: 33.6447, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.733, f_measure: 0.6876, kappa: 0.3671, kb_relative_information_score: 87.9498, mean_absolute_error: 0.3851, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6873, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.7789, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.4855, kappa: 0.1326, kb_relative_information_score: 26.8936, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6359, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.9209, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.2512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6753, kappa: 0.3445, kb_relative_information_score: 77.0973, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6761, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8107, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6393, f_measure: 0.4796, kappa: 0.1353, kb_relative_information_score: 25.4758, mean_absolute_error: 0.4567, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6503, predictive_accuracy: 0.5366, prior_entropy: 0.992, recall: 0.5366, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.636, root_relative_squared_error: 1.2792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5748, kappa: 0.1575, kb_relative_information_score: 49.9028, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5867, predictive_accuracy: 0.5745, prior_entropy: 0.992, recall: 0.5745, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6523, root_relative_squared_error: 1.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3936, kb_relative_information_score: 33.6447, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5748, kappa: 0.1575, kb_relative_information_score: 49.9028, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5867, predictive_accuracy: 0.5745, prior_entropy: 0.992, recall: 0.5745, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6523, root_relative_squared_error: 1.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3936, kb_relative_information_score: 33.6447, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5748, kappa: 0.1575, kb_relative_information_score: 49.9028, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5867, predictive_accuracy: 0.5745, prior_entropy: 0.992, recall: 0.5745, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6523, root_relative_squared_error: 1.3119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3936, kb_relative_information_score: 33.6447, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.3056, predictive_accuracy: 0.5528, prior_entropy: 0.992, recall: 0.5528, relative_absolute_error: 0.9044, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5804, f_measure: 0.5748, kappa: 0.1575, kb_relative_information_score: 49.9028, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.5867, predictive_accuracy: 0.5745, prior_entropy: 0.992, recall: 0.5745, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6523, root_relative_squared_error: 1.3119,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6078, f_measure: 0.5611, kappa: 0.1958, kb_relative_information_score: 38.3338, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.7232, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.9083, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9473,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7343, f_measure: 0.6871, kappa: 0.3656, kb_relative_information_score: 88.052, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.687, predictive_accuracy: 0.6883, prior_entropy: 0.992, recall: 0.6883, relative_absolute_error: 0.7807, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4606, root_relative_squared_error: 0.9264, scimark_benchmark: 1892.0925, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.629, f_measure: 0.4776, kappa: 0.1298, kb_relative_information_score: 23.1478, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6424, predictive_accuracy: 0.5339, prior_entropy: 0.992, recall: 0.5339, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2916, scimark_benchmark: 1892.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.6836, kappa: 0.362, kb_relative_information_score: 83.4819, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.685, predictive_accuracy: 0.6829, prior_entropy: 0.992, recall: 0.6829, relative_absolute_error: 0.7934, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9814, 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: 0.6615, f_measure: 0.6198, kappa: 0.2299, kb_relative_information_score: 42.0499, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6194, predictive_accuracy: 0.6206, prior_entropy: 0.992, recall: 0.6206, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4811, root_relative_squared_error: 0.9676, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.631, kappa: 0.2528, kb_relative_information_score: 48.4779, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6306, predictive_accuracy: 0.6314, prior_entropy: 0.992, recall: 0.6314, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4834, root_relative_squared_error: 0.9722, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.6267, kappa: 0.2714, kb_relative_information_score: 44.3056, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6514, predictive_accuracy: 0.6287, prior_entropy: 0.992, recall: 0.6287, relative_absolute_error: 0.8939, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4767, root_relative_squared_error: 0.9588, scimark_benchmark: 1834.908, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6723, kappa: 0.3379, kb_relative_information_score: 55.1173, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6727, predictive_accuracy: 0.6721, prior_entropy: 0.992, recall: 0.6721, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9569, scimark_benchmark: 1834.908, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6723, kappa: 0.3379, kb_relative_information_score: 55.1173, mean_absolute_error: 0.4297, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6727, predictive_accuracy: 0.6721, prior_entropy: 0.992, recall: 0.6721, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4758, root_relative_squared_error: 0.9569, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6753, kappa: 0.3445, kb_relative_information_score: 55.4445, mean_absolute_error: 0.4289, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6761, predictive_accuracy: 0.6748, prior_entropy: 0.992, recall: 0.6748, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9513, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6464, kappa: 0.2833, kb_relative_information_score: 53.2687, mean_absolute_error: 0.4338, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6461, predictive_accuracy: 0.6477, prior_entropy: 0.992, recall: 0.6477, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9788, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.6117, kappa: 0.2361, kb_relative_information_score: 41.4617, mean_absolute_error: 0.4446, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6295, predictive_accuracy: 0.6125, prior_entropy: 0.992, recall: 0.6125, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4796, root_relative_squared_error: 0.9646, 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: 0.6626, f_measure: 0.6076, kappa: 0.2042, kb_relative_information_score: 41.5387, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6072, predictive_accuracy: 0.6098, prior_entropy: 0.992, recall: 0.6098, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.96, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5923, f_measure: 0.5993, kappa: 0.1875, kb_relative_information_score: 72.2577, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4944, number_of_instances: 369, precision: 0.6003, predictive_accuracy: 0.6043, prior_entropy: 0.992, recall: 0.6043, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.4972, root_mean_squared_error: 0.629, root_relative_squared_error: 1.2651, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,

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

OpenML bootcamp

From your own software

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

OpenML APIs