Task
Supervised Classification on eucalyptus

Supervised Classification on eucalyptus

Task 2079 Supervised Classification eucalyptus 17466 runs submitted
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  • at2 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_70 study_98 study_99 under100k under1m
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17466 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.5715, kappa: 0.4671, kb_relative_information_score: 304.9196, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5799, predictive_accuracy: 0.5924, prior_entropy: 2.2629, recall: 0.5924, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.8251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.6228, kappa: 0.5165, kb_relative_information_score: 407.2564, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6252, predictive_accuracy: 0.6209, prior_entropy: 2.2629, recall: 0.6209, relative_absolute_error: 0.5182, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.8623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, f_measure: 0.6073, kappa: 0.4982, kb_relative_information_score: 392.6259, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6073, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.5951, kappa: 0.4836, kb_relative_information_score: 382.4164, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5988, predictive_accuracy: 0.5965, prior_entropy: 2.2629, recall: 0.5965, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8464, f_measure: 0.6109, kappa: 0.5013, kb_relative_information_score: 411.9933, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6136, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3328, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.6207, kappa: 0.514, kb_relative_information_score: 399.611, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6232, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.55, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.331, root_relative_squared_error: 0.8364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.629, kappa: 0.525, kb_relative_information_score: 414.3957, mean_absolute_error: 0.1529, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6312, predictive_accuracy: 0.6277, prior_entropy: 2.2629, recall: 0.6277, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.6141, kappa: 0.5113, kb_relative_information_score: 391.3257, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6205, predictive_accuracy: 0.6209, prior_entropy: 2.2629, recall: 0.6209, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.317, root_relative_squared_error: 0.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.6098, kappa: 0.5016, kb_relative_information_score: 391.8175, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6095, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3232, root_relative_squared_error: 0.8167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.6008, kappa: 0.4875, kb_relative_information_score: 375.8258, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6048, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.329, root_relative_squared_error: 0.8313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.6113, kappa: 0.5035, kb_relative_information_score: 392.7847, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6111, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5569, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.8141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.6315, kappa: 0.5288, kb_relative_information_score: 408.2132, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6314, predictive_accuracy: 0.6318, prior_entropy: 2.2629, recall: 0.6318, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.6101, kappa: 0.5015, kb_relative_information_score: 387.1987, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3196, root_relative_squared_error: 0.8076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.602, kappa: 0.4909, kb_relative_information_score: 376.5848, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6064, predictive_accuracy: 0.6046, prior_entropy: 2.2629, recall: 0.6046, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.6144, kappa: 0.5088, kb_relative_information_score: 410.6173, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6136, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.9058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8617, f_measure: 0.6066, kappa: 0.4984, kb_relative_information_score: 393.3681, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6072, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.8126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.6101, kappa: 0.5015, kb_relative_information_score: 387.3132, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6131, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5812, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.6144, kappa: 0.5067, kb_relative_information_score: 399.6373, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6166, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.6044, kappa: 0.4935, kb_relative_information_score: 379.2404, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6096, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8469, f_measure: 0.6186, kappa: 0.5117, kb_relative_information_score: 393.5157, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6196, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.5467, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.8351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.6053, kappa: 0.4967, kb_relative_information_score: 392.5286, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.606, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8138, f_measure: 0.6304, kappa: 0.5278, kb_relative_information_score: 409.9501, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6309, predictive_accuracy: 0.6304, prior_entropy: 2.2629, recall: 0.6304, relative_absolute_error: 0.5086, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.8852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.6088, kappa: 0.5004, kb_relative_information_score: 403.8146, mean_absolute_error: 0.1692, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6101, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8167, f_measure: 0.5896, kappa: 0.4746, kb_relative_information_score: 390.031, mean_absolute_error: 0.1704, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5931, predictive_accuracy: 0.587, prior_entropy: 2.2629, recall: 0.587, relative_absolute_error: 0.5441, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.8998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.6095, kappa: 0.501, kb_relative_information_score: 389.1613, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6098, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.602, kappa: 0.4916, kb_relative_information_score: 385.1267, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6023, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.8221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, f_measure: 0.6177, kappa: 0.5104, kb_relative_information_score: 413.5091, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6206, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.6209, kappa: 0.5143, kb_relative_information_score: 423.0262, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6236, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.4905, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8324, f_measure: 0.5995, kappa: 0.4879, kb_relative_information_score: 392.3506, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6006, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.6066, kappa: 0.4984, kb_relative_information_score: 393.2677, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6072, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5562, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3211, root_relative_squared_error: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.6079, kappa: 0.4992, kb_relative_information_score: 388.9845, mean_absolute_error: 0.1768, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6079, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.321, root_relative_squared_error: 0.8113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.6035, kappa: 0.4935, kb_relative_information_score: 389.1134, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6035, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5619, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.6094, kappa: 0.4998, kb_relative_information_score: 378.3244, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6155, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.8166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8622, f_measure: 0.6055, kappa: 0.4976, kb_relative_information_score: 383.3588, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6074, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.322, root_relative_squared_error: 0.8137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.6066, kappa: 0.4984, kb_relative_information_score: 393.6174, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6072, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.8129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.809, f_measure: 0.6116, kappa: 0.5034, kb_relative_information_score: 401.481, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6136, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5197, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.6079, kappa: 0.4958, kb_relative_information_score: 391.2084, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6121, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.5997, kappa: 0.4868, kb_relative_information_score: 377.5939, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.604, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.8266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.6234, kappa: 0.5161, kb_relative_information_score: 401.3912, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6268, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.5958, kappa: 0.4837, kb_relative_information_score: 394.2869, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5972, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.856, f_measure: 0.6327, kappa: 0.5304, kb_relative_information_score: 408.024, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6326, predictive_accuracy: 0.6332, prior_entropy: 2.2629, recall: 0.6332, relative_absolute_error: 0.5316, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.5996, kappa: 0.4876, kb_relative_information_score: 393.4379, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6011, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5425, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.339, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.6122, kappa: 0.5093, kb_relative_information_score: 391.2793, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6177, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.5741, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3171, root_relative_squared_error: 0.8013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.6202, kappa: 0.5138, kb_relative_information_score: 394.5186, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6214, predictive_accuracy: 0.6209, prior_entropy: 2.2629, recall: 0.6209, relative_absolute_error: 0.5457, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.8348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.602, kappa: 0.4892, kb_relative_information_score: 401.9436, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6059, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.6115, kappa: 0.5028, kb_relative_information_score: 404.0191, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6132, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.346, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.6134, kappa: 0.5062, kb_relative_information_score: 394.2115, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.614, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.5577, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.6219, kappa: 0.515, kb_relative_information_score: 397.4787, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6243, predictive_accuracy: 0.6209, prior_entropy: 2.2629, recall: 0.6209, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.6079, kappa: 0.4964, kb_relative_information_score: 393.6666, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6108, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.8194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.6252, kappa: 0.5224, kb_relative_information_score: 420.8761, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6263, predictive_accuracy: 0.625, prior_entropy: 2.2629, recall: 0.625, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.6097, kappa: 0.5013, kb_relative_information_score: 387.3383, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6121, predictive_accuracy: 0.6128, prior_entropy: 2.2629, recall: 0.6128, relative_absolute_error: 0.5813, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.6115, kappa: 0.5042, kb_relative_information_score: 386.6711, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6112, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5692, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.8098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.6087, kappa: 0.5003, kb_relative_information_score: 391.551, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6084, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5582, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.8176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.606, kappa: 0.4958, kb_relative_information_score: 398.1826, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6085, predictive_accuracy: 0.6046, prior_entropy: 2.2629, recall: 0.6046, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3355, root_relative_squared_error: 0.8479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8531, f_measure: 0.6008, kappa: 0.4875, kb_relative_information_score: 376.1045, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6048, predictive_accuracy: 0.6005, prior_entropy: 2.2629, recall: 0.6005, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.8307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.6144, kappa: 0.506, kb_relative_information_score: 399.0733, mean_absolute_error: 0.1687, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6155, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3292, root_relative_squared_error: 0.8319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8596, f_measure: 0.611, kappa: 0.5046, kb_relative_information_score: 384.8991, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.612, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.6077, kappa: 0.4989, kb_relative_information_score: 399.5333, mean_absolute_error: 0.1662, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6103, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5305, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.346, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.6113, kappa: 0.5024, kb_relative_information_score: 404.4496, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6146, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.6039, kappa: 0.4958, kb_relative_information_score: 382.4952, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6058, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.6108, kappa: 0.5027, kb_relative_information_score: 411.5638, mean_absolute_error: 0.1569, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.612, predictive_accuracy: 0.6101, prior_entropy: 2.2629, recall: 0.6101, relative_absolute_error: 0.501, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8654, f_measure: 0.617, kappa: 0.5112, kb_relative_information_score: 392.6394, mean_absolute_error: 0.1776, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6163, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.5668, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.318, root_relative_squared_error: 0.8036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.5961, kappa: 0.4839, kb_relative_information_score: 395.5839, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5986, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.5456, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.34, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.6071, kappa: 0.4974, kb_relative_information_score: 381.5664, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6117, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3198, root_relative_squared_error: 0.8082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6034, kappa: 0.4947, kb_relative_information_score: 385.5785, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6066, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.6207, kappa: 0.5159, kb_relative_information_score: 414.1688, mean_absolute_error: 0.156, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6227, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.4979, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8165, f_measure: 0.6185, kappa: 0.512, kb_relative_information_score: 410.4509, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.621, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3504, root_relative_squared_error: 0.8856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.6034, kappa: 0.4923, kb_relative_information_score: 399.795, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6049, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.6026, kappa: 0.4927, kb_relative_information_score: 396.2838, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6019, predictive_accuracy: 0.6046, prior_entropy: 2.2629, recall: 0.6046, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.8202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.6058, kappa: 0.4933, kb_relative_information_score: 393.4148, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6092, predictive_accuracy: 0.6046, prior_entropy: 2.2629, recall: 0.6046, relative_absolute_error: 0.564, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.8207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8581, f_measure: 0.6044, kappa: 0.4946, kb_relative_information_score: 392.1125, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6043, predictive_accuracy: 0.606, prior_entropy: 2.2629, recall: 0.606, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.5987, kappa: 0.4872, kb_relative_information_score: 397.6203, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6011, predictive_accuracy: 0.5978, prior_entropy: 2.2629, recall: 0.5978, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.6114, kappa: 0.5052, kb_relative_information_score: 385.3972, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6128, predictive_accuracy: 0.6155, prior_entropy: 2.2629, recall: 0.6155, relative_absolute_error: 0.575, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.323, root_relative_squared_error: 0.8163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.6205, kappa: 0.5136, kb_relative_information_score: 386.8658, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6256, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3193, root_relative_squared_error: 0.8069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.6004, kappa: 0.4888, kb_relative_information_score: 399.7216, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6017, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.5993, kappa: 0.4836, kb_relative_information_score: 386.3472, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6048, predictive_accuracy: 0.5965, prior_entropy: 2.2629, recall: 0.5965, relative_absolute_error: 0.5719, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8456, f_measure: 0.6186, kappa: 0.5117, kb_relative_information_score: 393.0692, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6196, predictive_accuracy: 0.6196, prior_entropy: 2.2629, recall: 0.6196, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3314, root_relative_squared_error: 0.8374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.6073, kappa: 0.4982, kb_relative_information_score: 392.5337, mean_absolute_error: 0.1754, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6073, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.56, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.8228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.6297, kappa: 0.5245, kb_relative_information_score: 396.7147, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6325, predictive_accuracy: 0.6291, prior_entropy: 2.2629, recall: 0.6291, relative_absolute_error: 0.5421, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.8397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8556, f_measure: 0.6019, kappa: 0.4918, kb_relative_information_score: 393.8914, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6014, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.558, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.8267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.6058, kappa: 0.4933, kb_relative_information_score: 394.6459, mean_absolute_error: 0.1761, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6092, predictive_accuracy: 0.6046, prior_entropy: 2.2629, recall: 0.6046, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.8181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.6122, kappa: 0.5043, kb_relative_information_score: 406.9979, mean_absolute_error: 0.1605, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6134, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.6251, kappa: 0.5191, kb_relative_information_score: 411.2337, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6305, predictive_accuracy: 0.6223, prior_entropy: 2.2629, recall: 0.6223, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3477, root_relative_squared_error: 0.8788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.6346, kappa: 0.5318, kb_relative_information_score: 413.8472, mean_absolute_error: 0.1622, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6372, predictive_accuracy: 0.6332, prior_entropy: 2.2629, recall: 0.6332, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.336, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.5999, kappa: 0.4877, kb_relative_information_score: 404.2265, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6018, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5264, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3431, root_relative_squared_error: 0.8671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.6095, kappa: 0.5013, kb_relative_information_score: 399.0505, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.609, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.6142, kappa: 0.5075, kb_relative_information_score: 388.0015, mean_absolute_error: 0.178, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6143, predictive_accuracy: 0.6168, prior_entropy: 2.2629, recall: 0.6168, relative_absolute_error: 0.5682, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3209, root_relative_squared_error: 0.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.6299, kappa: 0.5267, kb_relative_information_score: 405.2661, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6297, predictive_accuracy: 0.6304, prior_entropy: 2.2629, recall: 0.6304, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.8158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.6014, kappa: 0.4911, kb_relative_information_score: 394.9684, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6007, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5523, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.8222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.86, f_measure: 0.6072, kappa: 0.4984, kb_relative_information_score: 390.6366, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6068, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5604, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.6159, kappa: 0.5079, kb_relative_information_score: 413.1523, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6182, predictive_accuracy: 0.6141, prior_entropy: 2.2629, recall: 0.6141, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3329, root_relative_squared_error: 0.8412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8613, f_measure: 0.6039, kappa: 0.4958, kb_relative_information_score: 382.4952, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6058, predictive_accuracy: 0.6073, prior_entropy: 2.2629, recall: 0.6073, relative_absolute_error: 0.5784, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.6014, kappa: 0.4912, kb_relative_information_score: 386.8707, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6018, predictive_accuracy: 0.6033, prior_entropy: 2.2629, recall: 0.6033, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8594, f_measure: 0.6073, kappa: 0.4982, kb_relative_information_score: 391.8776, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6073, predictive_accuracy: 0.6087, prior_entropy: 2.2629, recall: 0.6087, relative_absolute_error: 0.5603, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.612, kappa: 0.5082, kb_relative_information_score: 388.7334, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.618, predictive_accuracy: 0.6182, prior_entropy: 2.2629, recall: 0.6182, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.8065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.6015, kappa: 0.489, kb_relative_information_score: 403.2398, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6049, predictive_accuracy: 0.5992, prior_entropy: 2.2629, recall: 0.5992, relative_absolute_error: 0.5348, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.5951, kappa: 0.4788, kb_relative_information_score: 388.527, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5999, predictive_accuracy: 0.5924, prior_entropy: 2.2629, recall: 0.5924, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3316, root_relative_squared_error: 0.8378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.5939, kappa: 0.482, kb_relative_information_score: 381.614, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5975, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3203, root_relative_squared_error: 0.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.5957, kappa: 0.4825, kb_relative_information_score: 395.3325, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.5966, predictive_accuracy: 0.5951, prior_entropy: 2.2629, recall: 0.5951, relative_absolute_error: 0.543, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.8443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.6095, kappa: 0.501, kb_relative_information_score: 389.6676, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6098, predictive_accuracy: 0.6114, prior_entropy: 2.2629, recall: 0.6114, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.8106,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs