OpenML
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 20196 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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20196 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, kb_relative_information_score: 26.0259, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1.003, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3978, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.5951, kappa: 0.4909, kb_relative_information_score: 315.7231, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6017, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.6896, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, kb_relative_information_score: 10.5008, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.396, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, kappa: 0.3502, kb_relative_information_score: 202.5285, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5136, prior_entropy: 2.2629, recall: 0.5136, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.8827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kb_relative_information_score: 19.3396, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.397, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.4024, kappa: 0.2739, kb_relative_information_score: 203.6599, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4074, predictive_accuracy: 0.4375, prior_entropy: 2.2629, recall: 0.4375, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, kb_relative_information_score: 14.7795, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4982, kb_relative_information_score: 16.7089, mean_absolute_error: 0.3146, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, kb_relative_information_score: 1.0946, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 30.5675, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3988, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8094, f_measure: 0.4982, kappa: 0.358, kb_relative_information_score: 266.3224, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5048, predictive_accuracy: 0.4946, prior_entropy: 2.2629, recall: 0.4946, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, kb_relative_information_score: 26.4165, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3974, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, kb_relative_information_score: 2.55, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3957, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4963, kb_relative_information_score: 7.9011, mean_absolute_error: 0.314, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.396, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kb_relative_information_score: 25.7522, mean_absolute_error: 0.3111, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, kb_relative_information_score: 18.227, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1.0053, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, kappa: -0.0027, kb_relative_information_score: 16.6191, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2609, prior_entropy: 2.2629, recall: 0.2609, relative_absolute_error: 1.0022, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3966, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.4598, kappa: 0.3619, kb_relative_information_score: 126.2659, mean_absolute_error: 0.2853, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4853, predictive_accuracy: 0.5217, prior_entropy: 2.2629, recall: 0.5217, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.9201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4956, kb_relative_information_score: 13.7118, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3963, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, kappa: -0.0027, kb_relative_information_score: 36.1388, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2609, prior_entropy: 2.2629, recall: 0.2609, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4003, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.002, kb_relative_information_score: 100.5526, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.6654, kappa: 0.574, kb_relative_information_score: 443.3805, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6651, predictive_accuracy: 0.6685, prior_entropy: 2.2629, recall: 0.6685, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7874, f_measure: 0.6654, kappa: 0.5737, kb_relative_information_score: 443.3403, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6659, predictive_accuracy: 0.6685, prior_entropy: 2.2629, recall: 0.6685, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, kappa: 0.322, kb_relative_information_score: 272.2246, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5082, prior_entropy: 2.2629, recall: 0.5082, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4436, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.6356, kappa: 0.5345, kb_relative_information_score: 417.4923, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6353, predictive_accuracy: 0.6372, prior_entropy: 2.2629, recall: 0.6372, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.6499, kappa: 0.5539, kb_relative_information_score: 430.5575, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6497, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.6146, kappa: 0.5031, kb_relative_information_score: 395.6414, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6243, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.2701, kappa: 0.0623, kb_relative_information_score: 110.897, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2871, predictive_accuracy: 0.2704, prior_entropy: 2.2629, recall: 0.2704, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.6609, kappa: 0.5678, kb_relative_information_score: 440.7367, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6602, predictive_accuracy: 0.663, prior_entropy: 2.2629, recall: 0.663, relative_absolute_error: 0.4303, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.5906, kappa: 0.4772, kb_relative_information_score: 376.8648, mean_absolute_error: 0.1598, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6103, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5101, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3997, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7575, f_measure: 0.6173, kappa: 0.5158, kb_relative_information_score: 401.0011, mean_absolute_error: 0.1489, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6298, predictive_accuracy: 0.6277, prior_entropy: 2.2629, recall: 0.6277, relative_absolute_error: 0.4754, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.6663, kappa: 0.575, kb_relative_information_score: 443.5965, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6669, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.6485, kappa: 0.5517, kb_relative_information_score: 426.8395, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6538, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.6495, kappa: 0.5529, kb_relative_information_score: 430.6332, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6498, predictive_accuracy: 0.6508, prior_entropy: 2.2629, recall: 0.6508, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.2611, kappa: 0.0567, kb_relative_information_score: 105.37, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2825, predictive_accuracy: 0.269, prior_entropy: 2.2629, recall: 0.269, relative_absolute_error: 0.9335, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.3665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.3842, kappa: 0.3325, kb_relative_information_score: 278.3061, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5682, predictive_accuracy: 0.5136, prior_entropy: 2.2629, recall: 0.5136, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4411, root_relative_squared_error: 1.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.6569, kappa: 0.5613, kb_relative_information_score: 437.0976, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6583, predictive_accuracy: 0.6563, prior_entropy: 2.2629, recall: 0.6563, relative_absolute_error: 0.439, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.398, kappa: 0.3451, kb_relative_information_score: 285.6219, mean_absolute_error: 0.1913, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5646, predictive_accuracy: 0.5217, prior_entropy: 2.2629, recall: 0.5217, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4374, root_relative_squared_error: 1.1053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.6053, kappa: 0.5129, kb_relative_information_score: 396.7637, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6627, predictive_accuracy: 0.6304, prior_entropy: 2.2629, recall: 0.6304, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4, f_measure: 0.0658, kappa: -0.1967, kb_relative_information_score: -66.1343, mean_absolute_error: 0.3745, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.1238, predictive_accuracy: 0.0639, prior_entropy: 2.2629, recall: 0.0639, relative_absolute_error: 1.1955, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.6499, kappa: 0.5527, kb_relative_information_score: 429.8659, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6506, predictive_accuracy: 0.6508, prior_entropy: 2.2629, recall: 0.6508, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3737, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.6357, kappa: 0.5357, kb_relative_information_score: 419.1188, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6362, predictive_accuracy: 0.6359, prior_entropy: 2.2629, recall: 0.6359, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.6354, kappa: 0.5365, kb_relative_information_score: 419.7464, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6343, predictive_accuracy: 0.6372, prior_entropy: 2.2629, recall: 0.6372, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5295, f_measure: 0.2592, kappa: 0.0605, kb_relative_information_score: 110.678, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2567, predictive_accuracy: 0.2772, prior_entropy: 2.2629, recall: 0.2772, relative_absolute_error: 0.9231, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5377, root_relative_squared_error: 1.3588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.6546, kappa: 0.5618, kb_relative_information_score: 434.4236, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6562, predictive_accuracy: 0.6603, prior_entropy: 2.2629, recall: 0.6603, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6244, kappa: 0.5197, kb_relative_information_score: 406.242, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6254, predictive_accuracy: 0.6264, prior_entropy: 2.2629, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7395, f_measure: 0.5949, kappa: 0.482, kb_relative_information_score: 380.0933, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.611, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.6488, kappa: 0.5511, kb_relative_information_score: 429.4665, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6497, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5936, f_measure: 0.3581, kappa: 0.1879, kb_relative_information_score: 192.4469, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3719, predictive_accuracy: 0.3791, prior_entropy: 2.2629, recall: 0.3791, relative_absolute_error: 0.7929, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.2594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4075, f_measure: 0.0505, kappa: -0.1822, kb_relative_information_score: -81.8832, mean_absolute_error: 0.3832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0728, predictive_accuracy: 0.0421, prior_entropy: 2.2629, recall: 0.0421, relative_absolute_error: 1.2232, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.619, root_relative_squared_error: 1.5642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.6214, kappa: 0.5116, kb_relative_information_score: 403.0744, mean_absolute_error: 0.1527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6276, predictive_accuracy: 0.6182, prior_entropy: 2.2629, recall: 0.6182, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, kappa: 0.0022, kb_relative_information_score: 100.8136, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2921, prior_entropy: 2.2629, recall: 0.2921, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.3447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.6454, kappa: 0.5489, kb_relative_information_score: 427.2102, mean_absolute_error: 0.1402, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6447, predictive_accuracy: 0.6495, prior_entropy: 2.2629, recall: 0.6495, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.6563, kappa: 0.5634, kb_relative_information_score: 436.5673, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.657, predictive_accuracy: 0.6603, prior_entropy: 2.2629, recall: 0.6603, relative_absolute_error: 0.4338, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.6283, kappa: 0.5426, kb_relative_information_score: 415.9677, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6747, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7818, f_measure: 0.6536, kappa: 0.5669, kb_relative_information_score: 434.4164, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6787, predictive_accuracy: 0.6685, prior_entropy: 2.2629, recall: 0.6685, relative_absolute_error: 0.4234, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5337, kappa: 0.0702, kb_relative_information_score: 137.1767, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3383, prior_entropy: 2.2629, recall: 0.3383, relative_absolute_error: 0.845, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.3001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.6718, kappa: 0.5823, kb_relative_information_score: 448.8304, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6716, predictive_accuracy: 0.6753, prior_entropy: 2.2629, recall: 0.6753, relative_absolute_error: 0.4147, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6584, kappa: 0.3216, kb_relative_information_score: 272.2246, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5082, prior_entropy: 2.2629, recall: 0.5082, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4436, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6528, kappa: 0.312, kb_relative_information_score: 267.8461, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5027, prior_entropy: 2.2629, recall: 0.5027, relative_absolute_error: 0.635, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.446, root_relative_squared_error: 1.1271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5328, f_measure: 0.2678, kappa: 0.0661, kb_relative_information_score: 113.0152, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2822, predictive_accuracy: 0.2799, prior_entropy: 2.2629, recall: 0.2799, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.771, f_measure: 0.641, kappa: 0.5387, kb_relative_information_score: 421.3768, mean_absolute_error: 0.1446, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6447, predictive_accuracy: 0.6386, prior_entropy: 2.2629, recall: 0.6386, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.9608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7745, f_measure: 0.6445, kappa: 0.5476, kb_relative_information_score: 425.8096, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6434, predictive_accuracy: 0.6481, prior_entropy: 2.2629, recall: 0.6481, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.5451, kappa: 0.4529, kb_relative_information_score: 355.5405, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6461, predictive_accuracy: 0.5924, prior_entropy: 2.2629, recall: 0.5924, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4038, root_relative_squared_error: 1.0204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, kappa: 0.004, kb_relative_information_score: 101.6298, mean_absolute_error: 0.2826, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2935, prior_entropy: 2.2629, recall: 0.2935, relative_absolute_error: 0.9022, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5316, root_relative_squared_error: 1.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, kappa: 0.3395, kb_relative_information_score: 282.2289, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5177, prior_entropy: 2.2629, recall: 0.5177, relative_absolute_error: 0.616, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4392, root_relative_squared_error: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7813, f_measure: 0.6543, kappa: 0.5612, kb_relative_information_score: 434.2472, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.654, predictive_accuracy: 0.659, prior_entropy: 2.2629, recall: 0.659, relative_absolute_error: 0.4355, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.6101, kappa: 0.5304, kb_relative_information_score: 405.984, mean_absolute_error: 0.1418, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6815, predictive_accuracy: 0.6454, prior_entropy: 2.2629, recall: 0.6454, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7488, f_measure: 0.5897, kappa: 0.5019, kb_relative_information_score: 388.3345, mean_absolute_error: 0.1505, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6607, predictive_accuracy: 0.6236, prior_entropy: 2.2629, recall: 0.6236, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.388, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.638, kappa: 0.5485, kb_relative_information_score: 421.6135, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6621, predictive_accuracy: 0.6549, prior_entropy: 2.2629, recall: 0.6549, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5767, f_measure: 0.3072, kappa: 0.1608, kb_relative_information_score: 188.0434, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.8007, predictive_accuracy: 0.3995, prior_entropy: 2.2629, recall: 0.3995, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4901, root_relative_squared_error: 1.2386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5742, kappa: 0.1475, kb_relative_information_score: 169.7857, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3682, prior_entropy: 2.2629, recall: 0.3682, relative_absolute_error: 0.8068, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5027, root_relative_squared_error: 1.2704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.3834, kappa: 0.3335, kb_relative_information_score: 279.214, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6799, predictive_accuracy: 0.5149, prior_entropy: 2.2629, recall: 0.5149, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4405, root_relative_squared_error: 1.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.5813, kappa: 0.4897, kb_relative_information_score: 380.1926, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6451, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.6555, kappa: 0.5685, kb_relative_information_score: 435.7546, mean_absolute_error: 0.1321, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6798, predictive_accuracy: 0.6698, prior_entropy: 2.2629, recall: 0.6698, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.5977, kappa: 0.4837, kb_relative_information_score: 381.69, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6121, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5066, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6623, kappa: 0.329, kb_relative_information_score: 276.4355, mean_absolute_error: 0.1951, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.5122, prior_entropy: 2.2629, recall: 0.5122, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4417, root_relative_squared_error: 1.1162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7576, f_measure: 0.6226, kappa: 0.513, kb_relative_information_score: 403.8307, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6285, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.4858, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.6647, kappa: 0.5773, kb_relative_information_score: 442.7318, mean_absolute_error: 0.1304, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.672, predictive_accuracy: 0.6739, prior_entropy: 2.2629, recall: 0.6739, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.4794, kappa: 0.3362, kb_relative_information_score: 289.2548, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5843, predictive_accuracy: 0.5082, prior_entropy: 2.2629, recall: 0.5082, relative_absolute_error: 0.6281, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4436, root_relative_squared_error: 1.1209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6422, f_measure: 0.437, kappa: 0.2824, kb_relative_information_score: 250.6485, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.444, predictive_accuracy: 0.4416, prior_entropy: 2.2629, recall: 0.4416, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.1943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.5984, kappa: 0.5066, kb_relative_information_score: 392.4877, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6623, predictive_accuracy: 0.6264, prior_entropy: 2.2629, recall: 0.6264, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.3222, kappa: 0.1778, kb_relative_information_score: 197.0615, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.683, predictive_accuracy: 0.4103, prior_entropy: 2.2629, recall: 0.4103, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.2273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.2637, kappa: 0.0601, kb_relative_information_score: 108.0269, mean_absolute_error: 0.2908, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2942, predictive_accuracy: 0.2731, prior_entropy: 2.2629, recall: 0.2731, relative_absolute_error: 0.9283, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5392, root_relative_squared_error: 1.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6227, f_measure: 0.4089, kappa: 0.2444, kb_relative_information_score: 226.5249, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.4156, predictive_accuracy: 0.413, prior_entropy: 2.2629, recall: 0.413, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4845, root_relative_squared_error: 1.2245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5575, kappa: 0.1196, kb_relative_information_score: 164.1062, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.3723, prior_entropy: 2.2629, recall: 0.3723, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.2663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4077, f_measure: 0.0561, kappa: -0.182, kb_relative_information_score: -78.9804, mean_absolute_error: 0.3815, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.0807, predictive_accuracy: 0.0462, prior_entropy: 2.2629, recall: 0.0462, relative_absolute_error: 1.218, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.6177, root_relative_squared_error: 1.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6085, f_measure: 0.3849, kappa: 0.2168, kb_relative_information_score: 209.3945, mean_absolute_error: 0.2424, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.3914, predictive_accuracy: 0.394, prior_entropy: 2.2629, recall: 0.394, relative_absolute_error: 0.7738, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4923, root_relative_squared_error: 1.2442,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6113, f_measure: 0.3923, kappa: 0.233, kb_relative_information_score: 228.9246, mean_absolute_error: 0.2234, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5925, predictive_accuracy: 0.4416, prior_entropy: 2.2629, recall: 0.4416, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4726, root_relative_squared_error: 1.1943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, f_measure: 0.6121, kappa: 0.5068, kb_relative_information_score: 398.7682, mean_absolute_error: 0.1543, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.4928, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.2425, kappa: 0.0304, kb_relative_information_score: 91.1706, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.2591, predictive_accuracy: 0.2527, prior_entropy: 2.2629, recall: 0.2527, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5467, root_relative_squared_error: 1.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 99.4755, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.3132, number_of_instances: 736, predictive_accuracy: 0.2908, prior_entropy: 2.2629, recall: 0.2908, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.649, kappa: 0.5532, kb_relative_information_score: 429.8465, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6481, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7776, f_measure: 0.6489, kappa: 0.5535, kb_relative_information_score: 430.0975, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6477, predictive_accuracy: 0.6522, prior_entropy: 2.2629, recall: 0.6522, relative_absolute_error: 0.4442, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9426,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs