OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31677 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31677 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9453, kappa: 0.8652, kb_relative_information_score: 0.766, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9452, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.2511, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9679, kappa: 0.9211, kb_relative_information_score: 0.8571, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.3489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9673, kappa: 0.9199, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5241, kappa: 0.0001, kb_relative_information_score: -0.3285, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5, prior_entropy: 0.863, recall: 0.5, relative_absolute_error: 1.2252, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.5654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.6245, kappa: 0.0515, kb_relative_information_score: 0.0453, mean_absolute_error: 0.3593, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6137, predictive_accuracy: 0.6407, prior_entropy: 0.863, recall: 0.6407, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5994, root_relative_squared_error: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 0.8667, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.1389, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.971, kappa: 0.9289, kb_relative_information_score: 0.913, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.863, recall: 0.971, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.3357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9552, kappa: 0.8903, kb_relative_information_score: 0.8321, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9552, prior_entropy: 0.863, recall: 0.9552, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.9371, kappa: 0.8457, kb_relative_information_score: 0.8259, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.1633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.5296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.8639, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1414, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9704, kappa: 0.9274, kb_relative_information_score: 0.8908, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9704, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.3292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9693, kappa: 0.9247, kb_relative_information_score: 0.8842, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9693, predictive_accuracy: 0.9693, prior_entropy: 0.863, recall: 0.9693, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5888, kappa: 0.0002, kb_relative_information_score: -0.1005, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.592, predictive_accuracy: 0.5858, prior_entropy: 0.863, recall: 0.5858, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9723, kappa: 0.9322, kb_relative_information_score: 0.9003, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9723, predictive_accuracy: 0.9723, prior_entropy: 0.863, recall: 0.9723, relative_absolute_error: 0.1022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1446, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9701, kappa: 0.9267, kb_relative_information_score: 0.8896, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.1137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1502, root_relative_squared_error: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9686, kappa: 0.923, kb_relative_information_score: 0.9082, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9539, kappa: 0.8871, kb_relative_information_score: 0.8229, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.1829, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9463, kappa: 0.8685, kb_relative_information_score: 0.7995, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9464, prior_entropy: 0.863, recall: 0.9464, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9732, kappa: 0.9342, kb_relative_information_score: 0.9264, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0691, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 0.8632, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9729, kappa: 0.9334, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9729, prior_entropy: 0.863, recall: 0.9729, relative_absolute_error: 0.072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.149, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.3459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 0.8535, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1554, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.6284, kappa: 0.1354, kb_relative_information_score: -0.0211, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6493, predictive_accuracy: 0.6157, prior_entropy: 0.863, recall: 0.6157, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6196, root_relative_squared_error: 1.3717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.9486, kappa: 0.8739, kb_relative_information_score: 0.8636, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9486, predictive_accuracy: 0.9487, prior_entropy: 0.863, recall: 0.9487, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2265, root_relative_squared_error: 0.5015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8828, kappa: 0.7099, kb_relative_information_score: 0.6921, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8823, predictive_accuracy: 0.8841, prior_entropy: 0.863, recall: 0.8841, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3404, root_relative_squared_error: 0.7536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9482, kappa: 0.873, kb_relative_information_score: 0.8624, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.5037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.9484, kappa: 0.8734, kb_relative_information_score: 29736.8631, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9483, predictive_accuracy: 0.9484, prior_entropy: 0.863, recall: 0.9484, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 78.9579, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -0.7319, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, kb_relative_information_score: 500.7689, mean_absolute_error: 0.4025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -130.4637, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, kb_relative_information_score: 2197.5566, mean_absolute_error: 0.3892, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, kb_relative_information_score: 112.1177, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4502, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, kb_relative_information_score: 88.0711, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -8.9992, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -7.6069, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5906, kb_relative_information_score: -229.3369, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, kb_relative_information_score: 0.816, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4512, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, kb_relative_information_score: 2560.3974, mean_absolute_error: 0.3854, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.9019, kappa: 0.7618, kb_relative_information_score: 21282.9926, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9033, predictive_accuracy: 0.9011, prior_entropy: 0.863, recall: 0.9011, relative_absolute_error: 0.3945, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.6223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -88.5996, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -120.7754, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -119.3687, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -18.0865, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -7.9872, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -228.5365, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -240.721, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0029, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, kb_relative_information_score: 105.7138, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4509, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -64.5497, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -56.3327, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -30.4985, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 121.8859, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -704.3733, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, kb_relative_information_score: 216.4402, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 88.8161, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -365.3454, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 162.0212, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -527.5713, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, f_measure: 0.8536, kappa: 0.6434, kb_relative_information_score: 15182.4313, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8547, predictive_accuracy: 0.8527, prior_entropy: 0.863, recall: 0.8527, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.7493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -32.1559, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 30.9424, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9988, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 90.5093, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -145.7689, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 43.9892, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1307.0698, mean_absolute_error: 0.4147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.452, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 48.1583, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -203.3183, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -56.7725, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 375.8956, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, kb_relative_information_score: 7350.6825, mean_absolute_error: 0.3388, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8303, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -104.2057, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 161.2705, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -23.4201, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 28.3939, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.8591, kappa: 0.6515, kb_relative_information_score: 17418.9539, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8583, predictive_accuracy: 0.8605, prior_entropy: 0.863, recall: 0.8605, relative_absolute_error: 0.5138, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.7029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 90.0187, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.8646, kappa: 0.6566, kb_relative_information_score: 11520.4983, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8725, predictive_accuracy: 0.8716, prior_entropy: 0.863, recall: 0.8716, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3391, root_relative_squared_error: 0.7507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 322.3144, mean_absolute_error: 0.4041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, kb_relative_information_score: 6691.5429, mean_absolute_error: 0.347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.8504, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.8619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9246, kappa: 0.8127, kb_relative_information_score: 23627.9513, mean_absolute_error: 0.137, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9253, predictive_accuracy: 0.9259, prior_entropy: 0.863, recall: 0.9259, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 23.1767, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -6.2529, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, kb_relative_information_score: 9657.1762, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 22.7867, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 19.8677, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 118.4219, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 10.9555, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -154.3381, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 13.9551, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.895, kappa: 0.7403, kb_relative_information_score: 13790.0581, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8947, predictive_accuracy: 0.8961, prior_entropy: 0.863, recall: 0.8961, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.7117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9036, kappa: 0.7631, kb_relative_information_score: 14465.697, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9034, predictive_accuracy: 0.9039, prior_entropy: 0.863, recall: 0.9039, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -51.0296, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -328.3036, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.004, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -57.1481, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 74.1312, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -536.6244, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 31.1679, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -68.4168, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,

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