Task
Supervised Classification on jEdit_4.0_4.2

Supervised Classification on jEdit_4.0_4.2

Task 3921 Supervised Classification jEdit_4.0_4.2 551 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: 0.7569, f_measure: 0.7043, kappa: 0.4093, kb_relative_information_score: 92.6769, mean_absolute_error: 0.3381, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7057, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.6766, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6864, kappa: 0.3828, kb_relative_information_score: 62.387, mean_absolute_error: 0.4009, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7077, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.7519, kappa: 0.5037, kb_relative_information_score: 71.2813, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7522, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.7001, kappa: 0.4002, kb_relative_information_score: 106.3264, mean_absolute_error: 0.3087, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7013, predictive_accuracy: 0.7007, prior_entropy: 0.9997, recall: 0.7007, relative_absolute_error: 0.6178, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4945, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.6801, kappa: 0.3625, kb_relative_information_score: 59.1686, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6858, predictive_accuracy: 0.6825, prior_entropy: 0.9997, recall: 0.6825, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7555, kappa: 0.5106, kb_relative_information_score: 103.536, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7554, predictive_accuracy: 0.7555, prior_entropy: 0.9997, recall: 0.7555, relative_absolute_error: 0.6489, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.6875, kappa: 0.3895, kb_relative_information_score: 90.5883, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7188, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 82.8467, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6663, kappa: 0.3522, kb_relative_information_score: 88.1072, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7038, predictive_accuracy: 0.6788, prior_entropy: 0.9997, recall: 0.6788, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7353, f_measure: 0.7224, kappa: 0.4445, kb_relative_information_score: 97.363, mean_absolute_error: 0.3329, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7228, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.6661, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7189, kappa: 0.4374, kb_relative_information_score: 114.1632, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7189, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.7021, kappa: 0.4065, kb_relative_information_score: 65.6218, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7083, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7133, kappa: 0.4286, kb_relative_information_score: 117.7602, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7191, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.5745, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4575, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7224, kappa: 0.4445, kb_relative_information_score: 113.3755, mean_absolute_error: 0.2992, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7228, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.6534, kappa: 0.3298, kb_relative_information_score: 84.8079, mean_absolute_error: 0.3497, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6947, predictive_accuracy: 0.6679, prior_entropy: 0.9997, recall: 0.6679, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.0493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.7042, kappa: 0.408, kb_relative_information_score: 93.8238, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7044, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.6755, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6849, kappa: 0.3824, kb_relative_information_score: 96.7268, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7115, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5375, root_relative_squared_error: 1.0753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6587, kappa: 0.3375, kb_relative_information_score: 79.7763, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6953, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5055, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7409, kappa: 0.4818, kb_relative_information_score: 101.4654, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7411, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7151, kappa: 0.4298, kb_relative_information_score: 78.8666, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7155, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.3456, kb_relative_information_score: -0.0147, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.2611, predictive_accuracy: 0.5109, prior_entropy: 0.9997, recall: 0.5109, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7227, kappa: 0.4452, kb_relative_information_score: 93.2394, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7228, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.6825, kappa: 0.365, kb_relative_information_score: 91.6754, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6827, predictive_accuracy: 0.6825, prior_entropy: 0.9997, recall: 0.6825, relative_absolute_error: 0.6756, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7635, f_measure: 0.6898, kappa: 0.3796, kb_relative_information_score: 91.1215, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.69, predictive_accuracy: 0.6898, prior_entropy: 0.9997, recall: 0.6898, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.451, root_relative_squared_error: 0.9022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 105.7009, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.717, f_measure: 0.6706, kappa: 0.3596, kb_relative_information_score: 88.5657, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7068, predictive_accuracy: 0.6825, prior_entropy: 0.9997, recall: 0.6825, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.6371, kappa: 0.2809, kb_relative_information_score: 55.7538, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6478, predictive_accuracy: 0.6423, prior_entropy: 0.9997, recall: 0.6423, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6597, kappa: 0.3377, kb_relative_information_score: 93.8759, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6931, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5731, root_relative_squared_error: 1.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7336, kappa: 0.4668, kb_relative_information_score: 105.7009, mean_absolute_error: 0.3187, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7335, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6409, f_measure: 0.6255, kappa: 0.2847, kb_relative_information_score: 79.8663, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6786, predictive_accuracy: 0.646, prior_entropy: 0.9997, recall: 0.646, relative_absolute_error: 0.7084, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.595, root_relative_squared_error: 1.1903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7538, f_measure: 0.6833, kappa: 0.382, kb_relative_information_score: 90.8066, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7159, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.6839, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.7406, kappa: 0.4809, kb_relative_information_score: 118.0305, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7412, predictive_accuracy: 0.7409, prior_entropy: 0.9997, recall: 0.7409, relative_absolute_error: 0.5796, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.465, root_relative_squared_error: 0.9301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.6345, kappa: 0.2996, kb_relative_information_score: 83.869, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6849, predictive_accuracy: 0.6533, prior_entropy: 0.9997, recall: 0.6533, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.1779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8211, f_measure: 0.7844, kappa: 0.57, kb_relative_information_score: 111.7049, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7877, predictive_accuracy: 0.7847, prior_entropy: 0.9997, recall: 0.7847, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6577, kappa: 0.3372, kb_relative_information_score: 88.2303, mean_absolute_error: 0.3444, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6977, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6891, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 26.2548, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.9131, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7299, kappa: 0.4603, kb_relative_information_score: 101.0823, mean_absolute_error: 0.3241, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7311, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.8757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6862, kappa: 0.3722, kb_relative_information_score: 101.8813, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6863, predictive_accuracy: 0.6861, prior_entropy: 0.9997, recall: 0.6861, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7298, kappa: 0.4605, kb_relative_information_score: 100.5513, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7316, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.8695, scimark_benchmark: 1586.7278, usercpu_time_millis: 671.875, usercpu_time_millis_training: 671.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.447, f_measure: 0.3241, kappa: -0.1041, kb_relative_information_score: -34.2115, mean_absolute_error: 0.562, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.3314, predictive_accuracy: 0.438, prior_entropy: 0.9997, recall: 0.438, relative_absolute_error: 1.1246, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.7497, root_relative_squared_error: 1.4998, scimark_benchmark: 1922.3298, usercpu_time_millis: 13781.25, usercpu_time_millis_training: 13781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.7189, kappa: 0.4385, kb_relative_information_score: 119.8936, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7203, predictive_accuracy: 0.719, prior_entropy: 0.9997, recall: 0.719, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.0605, scimark_benchmark: 1922.3298, usercpu_time_millis: 3781.25, usercpu_time_millis_training: 3781.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6278, f_measure: 0.5738, kappa: 0.2518, kb_relative_information_score: 65.8568, mean_absolute_error: 0.3796, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7321, predictive_accuracy: 0.6204, prior_entropy: 0.9997, recall: 0.6204, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6161, root_relative_squared_error: 1.2325, scimark_benchmark: 1922.3298, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7308, kappa: 0.4695, kb_relative_information_score: 91.8134, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7474, predictive_accuracy: 0.7336, prior_entropy: 0.9997, recall: 0.7336, relative_absolute_error: 0.6986, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8654, scimark_benchmark: 1355.5003, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.6597, kappa: 0.3377, kb_relative_information_score: 93.8759, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6931, predictive_accuracy: 0.6715, prior_entropy: 0.9997, recall: 0.6715, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5731, root_relative_squared_error: 1.1465, scimark_benchmark: 1301.2774, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7147, kappa: 0.4295, kb_relative_information_score: 90.2744, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.716, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.6933, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8499, scimark_benchmark: 751.9611, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7149, kappa: 0.4297, kb_relative_information_score: 82.8467, mean_absolute_error: 0.3636, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7157, predictive_accuracy: 0.7153, prior_entropy: 0.9997, recall: 0.7153, relative_absolute_error: 0.7274, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.9079, scimark_benchmark: 882.4919, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.7227, kappa: 0.4452, kb_relative_information_score: 93.2394, mean_absolute_error: 0.3389, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7228, predictive_accuracy: 0.7226, prior_entropy: 0.9997, recall: 0.7226, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4539, root_relative_squared_error: 0.908, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.7433, kappa: 0.4906, kb_relative_information_score: 92.5328, mean_absolute_error: 0.3419, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7519, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4336, root_relative_squared_error: 0.8675, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7299, f_measure: 0.7008, kappa: 0.4116, kb_relative_information_score: 95.1957, mean_absolute_error: 0.3261, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7185, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.6525, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4909, root_relative_squared_error: 0.982, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6918, kappa: 0.3976, kb_relative_information_score: 88.6283, mean_absolute_error: 0.3382, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7163, predictive_accuracy: 0.6971, prior_entropy: 0.9997, recall: 0.6971, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.008, 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: 0.7739, f_measure: 0.7042, kappa: 0.4095, kb_relative_information_score: 85.3126, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7062, predictive_accuracy: 0.7044, prior_entropy: 0.9997, recall: 0.7044, relative_absolute_error: 0.707, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4431, root_relative_squared_error: 0.8863, 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: 0.771, f_measure: 0.7008, kappa: 0.4014, kb_relative_information_score: 93.2847, mean_absolute_error: 0.3354, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7009, predictive_accuracy: 0.7007, prior_entropy: 0.9997, recall: 0.7007, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.8906, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.663, kappa: 0.3449, kb_relative_information_score: 95.8772, mean_absolute_error: 0.3248, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6984, predictive_accuracy: 0.6752, prior_entropy: 0.9997, recall: 0.6752, relative_absolute_error: 0.6499, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5699, root_relative_squared_error: 1.1401, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.7284, kappa: 0.458, kb_relative_information_score: 125.8977, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7332, predictive_accuracy: 0.7299, prior_entropy: 0.9997, recall: 0.7299, relative_absolute_error: 0.5404, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0396, 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: 0.7307, f_measure: 0.692, kappa: 0.385, kb_relative_information_score: 74.4675, mean_absolute_error: 0.3759, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6953, predictive_accuracy: 0.6934, prior_entropy: 0.9997, recall: 0.6934, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9427, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.7007, kappa: 0.4017, kb_relative_information_score: 79.0664, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7014, predictive_accuracy: 0.7007, prior_entropy: 0.9997, recall: 0.7007, relative_absolute_error: 0.734, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9254, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7183, f_measure: 0.6319, kappa: 0.2992, kb_relative_information_score: 74.4602, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.6909, predictive_accuracy: 0.6533, prior_entropy: 0.9997, recall: 0.6533, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5185, root_relative_squared_error: 1.0372, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.6663, kappa: 0.3522, kb_relative_information_score: 88.1072, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4998, number_of_instances: 274, precision: 0.7038, predictive_accuracy: 0.6788, prior_entropy: 0.9997, recall: 0.6788, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0159, 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

OpenML bootcamp

From your own software

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

OpenML APIs