Task
Supervised Classification on PhishingWebsites

Supervised Classification on PhishingWebsites

Task 14952 Supervised Classification PhishingWebsites 19725 runs submitted
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  • OpenML-CC18 study_107 study_98 study_99
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19725 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9507, kappa: 0.8999, kb_relative_information_score: 9561.8695, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9507, predictive_accuracy: 0.9507, prior_entropy: 0.9906, recall: 0.9507, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9527, kappa: 0.9042, kb_relative_information_score: 9102.6096, mean_absolute_error: 0.096, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9906, recall: 0.9528, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9524, kappa: 0.9035, kb_relative_information_score: 9376.6034, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9524, predictive_accuracy: 0.9524, prior_entropy: 0.9906, recall: 0.9524, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.3771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9537, kappa: 0.9061, kb_relative_information_score: 9505.5888, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.9906, recall: 0.9537, relative_absolute_error: 0.1504, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9673, kappa: 0.9337, kb_relative_information_score: 10058.7212, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9674, predictive_accuracy: 0.9673, prior_entropy: 0.9906, recall: 0.9673, relative_absolute_error: 0.0955, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9582, kappa: 0.9152, kb_relative_information_score: 9625.1129, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9582, predictive_accuracy: 0.9582, prior_entropy: 0.9906, recall: 0.9582, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9532, kappa: 0.9051, kb_relative_information_score: 9370.3205, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9532, predictive_accuracy: 0.9532, prior_entropy: 0.9906, recall: 0.9532, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9567, kappa: 0.9123, kb_relative_information_score: 9606.408, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9906, recall: 0.9568, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9497, kappa: 0.8979, kb_relative_information_score: 9040.5145, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9906, recall: 0.9497, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9645, kappa: 0.928, kb_relative_information_score: 9780.3217, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 0.9906, recall: 0.9645, relative_absolute_error: 0.1252, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9634, kappa: 0.9258, kb_relative_information_score: 9751.3116, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.9906, recall: 0.9635, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9473, kappa: 0.8931, kb_relative_information_score: 9317.7794, mean_absolute_error: 0.0826, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9472, predictive_accuracy: 0.9473, prior_entropy: 0.9906, recall: 0.9473, relative_absolute_error: 0.1673, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 9759.5134, mean_absolute_error: 0.0617, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9586, predictive_accuracy: 0.9586, prior_entropy: 0.9906, recall: 0.9586, relative_absolute_error: 0.1251, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9497, kappa: 0.8981, kb_relative_information_score: 9464.16, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9906, recall: 0.9497, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.3761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9658, kappa: 0.9306, kb_relative_information_score: 10007.6212, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9659, predictive_accuracy: 0.9658, prior_entropy: 0.9906, recall: 0.9658, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9511, kappa: 0.9009, kb_relative_information_score: 9427.3037, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9511, predictive_accuracy: 0.9512, prior_entropy: 0.9906, recall: 0.9512, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 9404.3389, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9906, recall: 0.9541, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.959, kappa: 0.9169, kb_relative_information_score: 9620.3104, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.959, predictive_accuracy: 0.959, prior_entropy: 0.9906, recall: 0.959, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.973, kappa: 0.9453, kb_relative_information_score: 10271.1027, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.2767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9663, kappa: 0.9317, kb_relative_information_score: 9834.2709, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9664, predictive_accuracy: 0.9664, prior_entropy: 0.9906, recall: 0.9664, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9503, kappa: 0.8992, kb_relative_information_score: 9661.6211, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9504, predictive_accuracy: 0.9503, prior_entropy: 0.9906, recall: 0.9503, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.3754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9617, kappa: 0.9224, kb_relative_information_score: 9753.5779, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9618, predictive_accuracy: 0.9617, prior_entropy: 0.9906, recall: 0.9617, relative_absolute_error: 0.127, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9518, kappa: 0.9022, kb_relative_information_score: 9438.9391, mean_absolute_error: 0.0777, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9518, predictive_accuracy: 0.9518, prior_entropy: 0.9906, recall: 0.9518, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9529, kappa: 0.9045, kb_relative_information_score: 9496.6653, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9529, predictive_accuracy: 0.9529, prior_entropy: 0.9906, recall: 0.9529, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.3685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9437, kappa: 0.886, kb_relative_information_score: 9247.7776, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9437, predictive_accuracy: 0.9437, prior_entropy: 0.9906, recall: 0.9437, relative_absolute_error: 0.1734, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9624, kappa: 0.9239, kb_relative_information_score: 9734.0293, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.9906, recall: 0.9625, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1641, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9612, kappa: 0.9214, kb_relative_information_score: 9823.5081, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 0.9906, recall: 0.9613, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9531, kappa: 0.9049, kb_relative_information_score: 9201.8212, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9532, predictive_accuracy: 0.9531, prior_entropy: 0.9906, recall: 0.9531, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.953, kappa: 0.9048, kb_relative_information_score: 9256.5459, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.953, predictive_accuracy: 0.9531, prior_entropy: 0.9906, recall: 0.9531, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9517, kappa: 0.9021, kb_relative_information_score: 9048.3884, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9518, predictive_accuracy: 0.9518, prior_entropy: 0.9906, recall: 0.9518, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.3937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.941, kappa: 0.8802, kb_relative_information_score: 5043.5608, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9427, predictive_accuracy: 0.9413, prior_entropy: 0.9906, recall: 0.9413, relative_absolute_error: 0.6131, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9441, kappa: 0.8865, kb_relative_information_score: 8183.112, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9444, predictive_accuracy: 0.9442, prior_entropy: 0.9906, recall: 0.9442, relative_absolute_error: 0.2952, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.219, root_relative_squared_error: 0.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9576, kappa: 0.9141, kb_relative_information_score: 9599.3679, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9906, recall: 0.9577, relative_absolute_error: 0.142, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9572, kappa: 0.9132, kb_relative_information_score: 9549.161, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9906, recall: 0.9572, relative_absolute_error: 0.1474, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9552, kappa: 0.9091, kb_relative_information_score: 9198.2335, mean_absolute_error: 0.0913, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9553, predictive_accuracy: 0.9552, prior_entropy: 0.9906, recall: 0.9552, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.3786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9678, kappa: 0.9346, kb_relative_information_score: 8708.4435, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9678, predictive_accuracy: 0.9678, prior_entropy: 0.9906, recall: 0.9678, relative_absolute_error: 0.2488, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9589, kappa: 0.9167, kb_relative_information_score: 9402.9014, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.9906, recall: 0.9589, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9572, kappa: 0.9132, kb_relative_information_score: 9467.6757, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.9906, recall: 0.9572, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9504, kappa: 0.8995, kb_relative_information_score: 9303.0058, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.9906, recall: 0.9504, relative_absolute_error: 0.1712, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9573, kappa: 0.9133, kb_relative_information_score: 9657.6409, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9573, predictive_accuracy: 0.9573, prior_entropy: 0.9906, recall: 0.9573, relative_absolute_error: 0.1348, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9598, kappa: 0.9184, kb_relative_information_score: 9914.5454, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9599, predictive_accuracy: 0.9598, prior_entropy: 0.9906, recall: 0.9598, relative_absolute_error: 0.1077, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9579, kappa: 0.9146, kb_relative_information_score: 9911.9621, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.958, predictive_accuracy: 0.9579, prior_entropy: 0.9906, recall: 0.9579, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9441, kappa: 0.8865, kb_relative_information_score: 7425.7478, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9445, predictive_accuracy: 0.9442, prior_entropy: 0.9906, recall: 0.9442, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2396, root_relative_squared_error: 0.4823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9558, kappa: 0.9104, kb_relative_information_score: 9651.0147, mean_absolute_error: 0.0666, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9559, predictive_accuracy: 0.9559, prior_entropy: 0.9906, recall: 0.9559, relative_absolute_error: 0.1349, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.3551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 9604.3527, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.9906, recall: 0.9644, relative_absolute_error: 0.1464, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9475, kappa: 0.8936, kb_relative_information_score: 9301.5364, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9475, predictive_accuracy: 0.9475, prior_entropy: 0.9906, recall: 0.9475, relative_absolute_error: 0.1697, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1939, root_relative_squared_error: 0.3904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9576, kappa: 0.9139, kb_relative_information_score: 9591.2175, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9576, predictive_accuracy: 0.9576, prior_entropy: 0.9906, recall: 0.9576, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.3507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.8686, kappa: 0.7405, kb_relative_information_score: 8093.8529, mean_absolute_error: 0.1314, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8916, predictive_accuracy: 0.8686, prior_entropy: 0.9906, recall: 0.8686, relative_absolute_error: 0.2663, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9464, kappa: 0.8914, kb_relative_information_score: 9137.9886, mean_absolute_error: 0.0922, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9464, predictive_accuracy: 0.9464, prior_entropy: 0.9906, recall: 0.9464, relative_absolute_error: 0.1869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.944, kappa: 0.8863, kb_relative_information_score: 7866.9936, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9443, predictive_accuracy: 0.9441, prior_entropy: 0.9906, recall: 0.9441, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 10449.6975, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.9906, recall: 0.9731, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9712, kappa: 0.9417, kb_relative_information_score: 10406.901, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.9906, recall: 0.9712, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9405, kappa: 0.8792, kb_relative_information_score: 9716.0435, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9407, predictive_accuracy: 0.9406, prior_entropy: 0.9906, recall: 0.9406, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.4908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.9636, kappa: 0.9262, kb_relative_information_score: 10235.7151, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9906, recall: 0.9636, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9536, kappa: 0.9059, kb_relative_information_score: 9535.379, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9536, predictive_accuracy: 0.9536, prior_entropy: 0.9906, recall: 0.9536, relative_absolute_error: 0.147, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.3635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9728, kappa: 0.945, kb_relative_information_score: 10443.5837, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9906, recall: 0.9729, relative_absolute_error: 0.055, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9498, kappa: 0.8982, kb_relative_information_score: 9320.9548, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9498, predictive_accuracy: 0.9498, prior_entropy: 0.9906, recall: 0.9498, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.3846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9571, kappa: 0.913, kb_relative_information_score: 10088.9843, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9906, recall: 0.9571, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9679, kappa: 0.9349, kb_relative_information_score: 10331.4977, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9679, predictive_accuracy: 0.9679, prior_entropy: 0.9906, recall: 0.9679, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9298, kappa: 0.8587, kb_relative_information_score: 9467.4163, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9339, predictive_accuracy: 0.9295, prior_entropy: 0.9906, recall: 0.9295, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9747, kappa: 0.9488, kb_relative_information_score: 10486.3802, mean_absolute_error: 0.0252, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.9906, recall: 0.9748, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.9324, kappa: 0.8628, kb_relative_information_score: 9534.6679, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9326, predictive_accuracy: 0.9325, prior_entropy: 0.9906, recall: 0.9325, relative_absolute_error: 0.1367, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2598, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9729, kappa: 0.9452, kb_relative_information_score: 10445.6216, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.962, kappa: 0.9229, kb_relative_information_score: 9673.6234, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.9906, recall: 0.962, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9486, kappa: 0.8958, kb_relative_information_score: 9899.457, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9489, predictive_accuracy: 0.9487, prior_entropy: 0.9906, recall: 0.9487, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9721, kappa: 0.9435, kb_relative_information_score: 10427.2803, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9722, predictive_accuracy: 0.9721, prior_entropy: 0.9906, recall: 0.9721, relative_absolute_error: 0.0565, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9496, kappa: 0.8977, kb_relative_information_score: 8990.9349, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9496, predictive_accuracy: 0.9496, prior_entropy: 0.9906, recall: 0.9496, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.9651, kappa: 0.9294, kb_relative_information_score: 10268.3219, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9652, predictive_accuracy: 0.9651, prior_entropy: 0.9906, recall: 0.9651, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1869, root_relative_squared_error: 0.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9212, kappa: 0.8398, kb_relative_information_score: 9294.1924, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9254, predictive_accuracy: 0.9218, prior_entropy: 0.9906, recall: 0.9218, relative_absolute_error: 0.1584, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9314, kappa: 0.8608, kb_relative_information_score: 9512.2507, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9317, predictive_accuracy: 0.9315, prior_entropy: 0.9906, recall: 0.9315, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.5268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9422, kappa: 0.8828, kb_relative_information_score: 9184.626, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9422, predictive_accuracy: 0.9422, prior_entropy: 0.9906, recall: 0.9422, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.9298, kappa: 0.8587, kb_relative_information_score: 9467.4163, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9339, predictive_accuracy: 0.9295, prior_entropy: 0.9906, recall: 0.9295, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2655, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9569, kappa: 0.9126, kb_relative_information_score: 9761.1534, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.957, predictive_accuracy: 0.9569, prior_entropy: 0.9906, recall: 0.9569, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9502, kappa: 0.899, kb_relative_information_score: 8801.6517, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9503, predictive_accuracy: 0.9502, prior_entropy: 0.9906, recall: 0.9502, relative_absolute_error: 0.2277, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9729, kappa: 0.9451, kb_relative_information_score: 10445.6216, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9906, recall: 0.973, relative_absolute_error: 0.0548, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.3311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.9237, kappa: 0.8448, kb_relative_information_score: 9347.1785, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9269, predictive_accuracy: 0.9242, prior_entropy: 0.9906, recall: 0.9242, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9645, kappa: 0.928, kb_relative_information_score: 9791.1306, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9646, predictive_accuracy: 0.9645, prior_entropy: 0.9906, recall: 0.9645, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.928, kappa: 0.854, kb_relative_information_score: 9436.8473, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9283, predictive_accuracy: 0.9282, prior_entropy: 0.9906, recall: 0.9282, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.268, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9695, kappa: 0.9381, kb_relative_information_score: 9926.0931, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9696, predictive_accuracy: 0.9695, prior_entropy: 0.9906, recall: 0.9695, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.8623, kappa: 0.7288, kb_relative_information_score: 7955.2738, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.888, predictive_accuracy: 0.8624, prior_entropy: 0.9906, recall: 0.8624, relative_absolute_error: 0.2788, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.9234, kappa: 0.8445, kb_relative_information_score: 9336.9889, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9246, predictive_accuracy: 0.9237, prior_entropy: 0.9906, recall: 0.9237, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9541, kappa: 0.907, kb_relative_information_score: 9439.5832, mean_absolute_error: 0.0779, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9541, predictive_accuracy: 0.9541, prior_entropy: 0.9906, recall: 0.9541, relative_absolute_error: 0.1579, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9499, kappa: 0.8985, kb_relative_information_score: 9266.2403, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.95, predictive_accuracy: 0.95, prior_entropy: 0.9906, recall: 0.95, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9538, kappa: 0.9063, kb_relative_information_score: 9503.3076, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9538, predictive_accuracy: 0.9538, prior_entropy: 0.9906, recall: 0.9538, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9747, kappa: 0.9486, kb_relative_information_score: 10484.3423, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.9906, recall: 0.9747, relative_absolute_error: 0.0513, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9737, kappa: 0.9468, kb_relative_information_score: 10463.963, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 0.9906, recall: 0.9738, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.947, kappa: 0.8925, kb_relative_information_score: 9197.1847, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.9906, recall: 0.947, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.197, root_relative_squared_error: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8557, kappa: 0.7167, kb_relative_information_score: 7810.5809, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.8847, predictive_accuracy: 0.856, prior_entropy: 0.9906, recall: 0.856, relative_absolute_error: 0.2918, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 1073.1913, mean_absolute_error: 0.4431, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, predictive_accuracy: 0.5569, prior_entropy: 0.9906, recall: 0.5569, relative_absolute_error: 0.8978, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.6656, root_relative_squared_error: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.955, kappa: 0.9087, kb_relative_information_score: 10042.1119, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9551, predictive_accuracy: 0.955, prior_entropy: 0.9906, recall: 0.955, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.212, root_relative_squared_error: 0.4268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9743, kappa: 0.9479, kb_relative_information_score: 10476.1906, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.4935, number_of_instances: 11055, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.9906, recall: 0.9743, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4967, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.3227,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

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

OpenML APIs