OpenML
Supervised Classification on credit-g

Supervised Classification on credit-g

Task 31 Supervised Classification credit-g 416626 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 python study_1 study_107 study_123 study_130 study_14 study_15 study_20 study_218 study_41 study_50 study_7 study_70 study_98 study_99 under100k under1m
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416626 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 12.5532, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -334.9003, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.1911, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -8.5573, mean_absolute_error: 0.4217, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -122.455, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0588, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 2.2657, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7503, kb_relative_information_score: 66.6518, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9249, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6248, kb_relative_information_score: 8.446, mean_absolute_error: 0.4156, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.0635, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.7034, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -31.8348, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0143, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 33.7775, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4597, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 63.6055, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4637, root_relative_squared_error: 1.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.0149, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 20.5649, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9787, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4588, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 24.0077, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9751, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.459, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.6882, kappa: 0.2443, kb_relative_information_score: 184.3399, mean_absolute_error: 0.3213, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6837, predictive_accuracy: 0.695, prior_entropy: 0.8818, recall: 0.695, relative_absolute_error: 0.7648, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.0805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7603, f_measure: 0.7145, kappa: 0.2919, kb_relative_information_score: 168.1904, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7208, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -13.24, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -67.7873, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0312, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.5021, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.6033, kappa: 0.0444, kb_relative_information_score: 100.486, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6616, predictive_accuracy: 0.703, prior_entropy: 0.8818, recall: 0.703, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.427, root_relative_squared_error: 0.9317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.363, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1.4138, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 7.2266, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 17.3046, mean_absolute_error: 0.4127, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9822, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4586, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.0719, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9948, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -787.0672, mean_absolute_error: 0.7, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.3, prior_entropy: 0.8818, recall: 0.3, relative_absolute_error: 1.666, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.8367, root_relative_squared_error: 1.8257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 11.0847, mean_absolute_error: 0.4154, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4584, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7333, kb_relative_information_score: 9.1159, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -90.0402, mean_absolute_error: 0.4379, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0422, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.2001, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.977, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4589, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -28.0832, mean_absolute_error: 0.4254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0125, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -0.1885, mean_absolute_error: 0.4202, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4583, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.6851, kappa: 0.2481, kb_relative_information_score: 116.341, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6842, predictive_accuracy: 0.686, prior_entropy: 0.8818, recall: 0.686, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4622, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6333, f_measure: 0.6814, kappa: 0.2569, kb_relative_information_score: 172.5466, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6888, predictive_accuracy: 0.676, prior_entropy: 0.8818, recall: 0.676, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5276, f_measure: 0.6057, kappa: 0.0559, kb_relative_information_score: -1.0006, mean_absolute_error: 0.392, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6035, predictive_accuracy: 0.608, prior_entropy: 0.8818, recall: 0.608, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6261, root_relative_squared_error: 1.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5114, f_measure: 0.5943, kappa: 0.0314, kb_relative_information_score: 244.0072, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6863, predictive_accuracy: 0.704, prior_entropy: 0.8818, recall: 0.704, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.1872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5811, kappa: 0.0093, kb_relative_information_score: 238.9028, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5811, kappa: 0.0093, kb_relative_information_score: 238.9028, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7452, kappa: 0.3769, kb_relative_information_score: 374.1676, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.743, predictive_accuracy: 0.755, prior_entropy: 0.8818, recall: 0.755, relative_absolute_error: 0.5831, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.495, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7355, kappa: 0.3595, kb_relative_information_score: 338.4373, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7324, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, f_measure: 0.625, kappa: 0.1006, kb_relative_information_score: 50.0427, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6223, predictive_accuracy: 0.628, prior_entropy: 0.8818, recall: 0.628, relative_absolute_error: 0.8854, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.431, f_measure: 0.5252, kappa: -0.1408, kb_relative_information_score: -200.0694, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.5207, predictive_accuracy: 0.53, prior_entropy: 0.8818, recall: 0.53, relative_absolute_error: 1.1186, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.7402, kappa: 0.3648, kb_relative_information_score: 361.4067, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7377, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.7296, kappa: 0.341, kb_relative_information_score: 330.7808, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7261, predictive_accuracy: 0.738, prior_entropy: 0.8818, recall: 0.738, relative_absolute_error: 0.6236, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.6803, kappa: 0.2132, kb_relative_information_score: 338.4373, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7508, predictive_accuracy: 0.741, prior_entropy: 0.8818, recall: 0.741, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5089, root_relative_squared_error: 1.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.5806, kappa: 0.0073, kb_relative_information_score: 236.3507, mean_absolute_error: 0.299, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6908, predictive_accuracy: 0.701, prior_entropy: 0.8818, recall: 0.701, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5468, root_relative_squared_error: 1.1932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.687, kappa: 0.2262, kb_relative_information_score: 335.8851, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7359, predictive_accuracy: 0.74, prior_entropy: 0.8818, recall: 0.74, relative_absolute_error: 0.6188, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.1127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.586, f_measure: 0.6826, kappa: 0.2167, kb_relative_information_score: 333.3329, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.738, predictive_accuracy: 0.739, prior_entropy: 0.8818, recall: 0.739, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5109, root_relative_squared_error: 1.1148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6686, f_measure: 0.7404, kappa: 0.3634, kb_relative_information_score: 366.5111, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7387, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.659, f_measure: 0.7251, kappa: 0.3327, kb_relative_information_score: 315.4678, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7216, predictive_accuracy: 0.732, prior_entropy: 0.8818, recall: 0.732, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.1297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.738, kappa: 0.3555, kb_relative_information_score: 366.5111, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7376, predictive_accuracy: 0.752, prior_entropy: 0.8818, recall: 0.752, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.7631, kappa: 0.4223, kb_relative_information_score: 415.0022, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7614, predictive_accuracy: 0.771, prior_entropy: 0.8818, recall: 0.771, relative_absolute_error: 0.545, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4785, root_relative_squared_error: 1.0443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6186, f_measure: 0.7109, kappa: 0.2817, kb_relative_information_score: 351.1981, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7317, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.741, kappa: 0.3667, kb_relative_information_score: 363.9589, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7386, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.6625, kappa: 0.2026, kb_relative_information_score: 131.7119, mean_absolute_error: 0.34, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6652, predictive_accuracy: 0.66, prior_entropy: 0.8818, recall: 0.66, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5831, root_relative_squared_error: 1.2724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.539, f_measure: 0.6124, kappa: 0.0779, kb_relative_information_score: 9.208, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6127, predictive_accuracy: 0.612, prior_entropy: 0.8818, recall: 0.612, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6229, root_relative_squared_error: 1.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7516, kappa: 0.3916, kb_relative_information_score: 392.0327, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7502, predictive_accuracy: 0.762, prior_entropy: 0.8818, recall: 0.762, relative_absolute_error: 0.5665, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.0646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.534, f_measure: 0.6234, kappa: 0.0918, kb_relative_information_score: 277.1853, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7382, predictive_accuracy: 0.717, prior_entropy: 0.8818, recall: 0.717, relative_absolute_error: 0.6736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.532, root_relative_squared_error: 1.1609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5543, f_measure: 0.6494, kappa: 0.14, kb_relative_information_score: 284.8418, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7039, predictive_accuracy: 0.72, prior_entropy: 0.8818, recall: 0.72, relative_absolute_error: 0.6664, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.1547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7485, kappa: 0.3852, kb_relative_information_score: 381.824, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7464, predictive_accuracy: 0.758, prior_entropy: 0.8818, recall: 0.758, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4919, root_relative_squared_error: 1.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.7167, kappa: 0.2974, kb_relative_information_score: 340.9894, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7234, predictive_accuracy: 0.742, prior_entropy: 0.8818, recall: 0.742, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.67, f_measure: 0.7398, kappa: 0.3635, kb_relative_information_score: 361.4067, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7374, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6169, f_measure: 0.6799, kappa: 0.2354, kb_relative_information_score: 185.3074, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6789, predictive_accuracy: 0.681, prior_entropy: 0.8818, recall: 0.681, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5648, root_relative_squared_error: 1.2325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.7321, kappa: 0.3413, kb_relative_information_score: 351.1981, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7308, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6552, f_measure: 0.7114, kappa: 0.3117, kb_relative_information_score: 264.4245, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7109, predictive_accuracy: 0.712, prior_entropy: 0.8818, recall: 0.712, relative_absolute_error: 0.6855, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.1711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7469, kappa: 0.3776, kb_relative_information_score: 386.9284, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7469, predictive_accuracy: 0.76, prior_entropy: 0.8818, recall: 0.76, relative_absolute_error: 0.5712, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4899, root_relative_squared_error: 1.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7428, kappa: 0.3705, kb_relative_information_score: 369.0632, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7406, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.7399, kappa: 0.3628, kb_relative_information_score: 363.9589, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7379, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.6216, kappa: 0.0983, kb_relative_information_score: 34.7297, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6213, predictive_accuracy: 0.622, prior_entropy: 0.8818, recall: 0.622, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.3416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.5811, kappa: 0.0093, kb_relative_information_score: 238.9028, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.791, predictive_accuracy: 0.702, prior_entropy: 0.8818, recall: 0.702, relative_absolute_error: 0.7093, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5459, root_relative_squared_error: 1.1912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7592, kappa: 0.4118, kb_relative_information_score: 407.3457, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7576, predictive_accuracy: 0.768, prior_entropy: 0.8818, recall: 0.768, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7428, kappa: 0.3705, kb_relative_information_score: 369.0632, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7406, predictive_accuracy: 0.753, prior_entropy: 0.8818, recall: 0.753, relative_absolute_error: 0.5879, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 233.7985, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, predictive_accuracy: 0.7, prior_entropy: 0.8818, recall: 0.7, relative_absolute_error: 0.714, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.7403, kappa: 0.3641, kb_relative_information_score: 363.9589, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7381, predictive_accuracy: 0.751, prior_entropy: 0.8818, recall: 0.751, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.7227, kappa: 0.3128, kb_relative_information_score: 351.1981, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7286, predictive_accuracy: 0.746, prior_entropy: 0.8818, recall: 0.746, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6152, f_measure: 0.6763, kappa: 0.23, kb_relative_information_score: 172.5466, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6766, predictive_accuracy: 0.676, prior_entropy: 0.8818, recall: 0.676, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.2421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.7517, kappa: 0.3957, kb_relative_information_score: 384.3762, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7492, predictive_accuracy: 0.759, prior_entropy: 0.8818, recall: 0.759, relative_absolute_error: 0.5736, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4909, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5462, f_measure: 0.6265, kappa: 0.0958, kb_relative_information_score: 65.3557, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6206, predictive_accuracy: 0.634, prior_entropy: 0.8818, recall: 0.634, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.605, root_relative_squared_error: 1.3202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.7172, kappa: 0.2973, kb_relative_information_score: 358.8546, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7348, predictive_accuracy: 0.749, prior_entropy: 0.8818, recall: 0.749, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.7385, kappa: 0.3611, kb_relative_information_score: 356.3024, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7357, predictive_accuracy: 0.748, prior_entropy: 0.8818, recall: 0.748, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.6994, kappa: 0.2877, kb_relative_information_score: 228.6942, mean_absolute_error: 0.302, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7009, predictive_accuracy: 0.698, prior_entropy: 0.8818, recall: 0.698, relative_absolute_error: 0.7188, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5495, root_relative_squared_error: 1.1992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.6902, kappa: 0.2582, kb_relative_information_score: 213.3812, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6885, predictive_accuracy: 0.692, prior_entropy: 0.8818, recall: 0.692, relative_absolute_error: 0.7331, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.555, root_relative_squared_error: 1.2111,

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