Task
Supervised Classification on Australian

Supervised Classification on Australian

Task 125923 Supervised Classification Australian 207732 runs submitted
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  • OpenML100 study_107 study_123 study_14
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207732 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9249, f_measure: 0.8493, kappa: 0.695, kb_relative_information_score: 445.8422, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8494, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3635, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8463, kappa: 0.6888, kb_relative_information_score: 453.2355, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3313, root_relative_squared_error: 0.6667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8392, kappa: 0.6744, kb_relative_information_score: 437.7279, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8392, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8374, kappa: 0.6703, kb_relative_information_score: 432.4713, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8374, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.7473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8406, kappa: 0.6775, kb_relative_information_score: 439.2387, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8407, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 454.8136, mean_absolute_error: 0.1726, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.852, kappa: 0.6999, kb_relative_information_score: 437.0629, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.6762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8639, kappa: 0.7245, kb_relative_information_score: 441.6501, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8533, kappa: 0.7026, kb_relative_information_score: 438.611, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8521, kappa: 0.7003, kb_relative_information_score: 451.7407, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8637, kappa: 0.724, kb_relative_information_score: 454.3533, mean_absolute_error: 0.1733, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.855, kappa: 0.7064, kb_relative_information_score: 442.2995, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.855, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3715, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3269, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.845, kappa: 0.6866, kb_relative_information_score: 452.0068, mean_absolute_error: 0.1721, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8453, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3562, root_relative_squared_error: 0.7168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8534, kappa: 0.7028, kb_relative_information_score: 440.229, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8534, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3746, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 438.764, mean_absolute_error: 0.1877, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.38, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9179, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 439.4253, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.845, kappa: 0.6861, kb_relative_information_score: 444.337, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.845, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3662, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8507, kappa: 0.6979, kb_relative_information_score: 449.6015, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.325, root_relative_squared_error: 0.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8565, kappa: 0.7094, kb_relative_information_score: 438.9114, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 437.9474, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3364, root_relative_squared_error: 0.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.845, kappa: 0.6864, kb_relative_information_score: 458.4922, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8451, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3358, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8303, kappa: 0.6561, kb_relative_information_score: 431.8644, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8302, predictive_accuracy: 0.8304, prior_entropy: 0.9913, recall: 0.8304, relative_absolute_error: 0.3773, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8437, kappa: 0.6841, kb_relative_information_score: 442.5538, mean_absolute_error: 0.1816, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8443, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8564, kappa: 0.709, kb_relative_information_score: 451.9733, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8564, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9262, f_measure: 0.852, kappa: 0.7001, kb_relative_information_score: 441.8555, mean_absolute_error: 0.1832, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.8464, kappa: 0.6892, kb_relative_information_score: 442.2274, mean_absolute_error: 0.1821, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8465, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3294, root_relative_squared_error: 0.6629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9178, f_measure: 0.8475, kappa: 0.6908, kb_relative_information_score: 438.5214, mean_absolute_error: 0.1866, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3778, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8594, kappa: 0.7155, kb_relative_information_score: 445.2804, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8595, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3661, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3259, root_relative_squared_error: 0.6559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8565, kappa: 0.7094, kb_relative_information_score: 439.592, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8565, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.327, root_relative_squared_error: 0.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8907, f_measure: 0.8448, kappa: 0.6857, kb_relative_information_score: 443.7424, mean_absolute_error: 0.1793, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8448, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8594, kappa: 0.7155, kb_relative_information_score: 443.1873, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8595, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8449, kappa: 0.6859, kb_relative_information_score: 457.1236, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8449, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8493, kappa: 0.6948, kb_relative_information_score: 447.2684, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8493, predictive_accuracy: 0.8493, prior_entropy: 0.9913, recall: 0.8493, relative_absolute_error: 0.3587, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3476, root_relative_squared_error: 0.6995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 454.4255, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3245, root_relative_squared_error: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.8521, kappa: 0.7005, kb_relative_information_score: 456.0833, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8521, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3441, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8434, kappa: 0.6829, kb_relative_information_score: 450.4965, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8434, predictive_accuracy: 0.8435, prior_entropy: 0.9913, recall: 0.8435, relative_absolute_error: 0.3518, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.351, root_relative_squared_error: 0.7063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.8507, kappa: 0.6979, kb_relative_information_score: 447.2849, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3257, root_relative_squared_error: 0.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8417, kappa: 0.679, kb_relative_information_score: 445.8826, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3563, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8535, kappa: 0.7034, kb_relative_information_score: 441.6077, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3725, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8855, f_measure: 0.842, kappa: 0.6801, kb_relative_information_score: 451.546, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.842, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.8577, kappa: 0.7113, kb_relative_information_score: 442.1145, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.328, root_relative_squared_error: 0.6601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8594, kappa: 0.7153, kb_relative_information_score: 443.9251, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3275, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8581, kappa: 0.713, kb_relative_information_score: 444.6688, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8584, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3667, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8405, kappa: 0.677, kb_relative_information_score: 438.0999, mean_absolute_error: 0.1824, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8405, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9231, f_measure: 0.8579, kappa: 0.7123, kb_relative_information_score: 442.5999, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8579, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3713, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3253, root_relative_squared_error: 0.6545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8536, kappa: 0.7036, kb_relative_information_score: 445.157, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8536, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8379, kappa: 0.6726, kb_relative_information_score: 436.1188, mean_absolute_error: 0.1859, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8387, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3447, root_relative_squared_error: 0.6935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8594, kappa: 0.7155, kb_relative_information_score: 445.6867, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8595, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3658, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8919, f_measure: 0.8421, kappa: 0.6805, kb_relative_information_score: 446.979, mean_absolute_error: 0.1762, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8422, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3567, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9128, f_measure: 0.8461, kappa: 0.688, kb_relative_information_score: 435.4913, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8418, kappa: 0.6792, kb_relative_information_score: 448.1561, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.336, root_relative_squared_error: 0.6761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.8331, kappa: 0.6618, kb_relative_information_score: 439.9602, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8331, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 454.919, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3493, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8592, kappa: 0.7146, kb_relative_information_score: 442.0631, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3272, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8991, f_measure: 0.8418, kappa: 0.6792, kb_relative_information_score: 447.6367, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3555, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9245, f_measure: 0.851, kappa: 0.6989, kb_relative_information_score: 453.9083, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8516, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9177, f_measure: 0.8475, kappa: 0.6908, kb_relative_information_score: 438.2668, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.6631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8522, kappa: 0.7009, kb_relative_information_score: 435.3546, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8523, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3832, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.8593, kappa: 0.7151, kb_relative_information_score: 455.2043, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8593, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3437, root_relative_squared_error: 0.6917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8608, kappa: 0.7181, kb_relative_information_score: 442.5195, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8608, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3728, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.8345, kappa: 0.6644, kb_relative_information_score: 446.4196, mean_absolute_error: 0.175, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8345, predictive_accuracy: 0.8348, prior_entropy: 0.9913, recall: 0.8348, relative_absolute_error: 0.3543, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.845, kappa: 0.6861, kb_relative_information_score: 444.4598, mean_absolute_error: 0.1808, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.845, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.366, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3288, root_relative_squared_error: 0.6617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8625, kappa: 0.7219, kb_relative_information_score: 439.6296, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8628, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3789, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.6594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9026, f_measure: 0.8549, kappa: 0.7058, kb_relative_information_score: 448.2402, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8549, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.357, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.6986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8612, kappa: 0.72, kb_relative_information_score: 450.1225, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8627, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.6773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9023, f_measure: 0.8476, kappa: 0.691, kb_relative_information_score: 449.8531, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8476, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3537, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.8507, kappa: 0.6979, kb_relative_information_score: 434.9746, mean_absolute_error: 0.1894, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8508, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3309, root_relative_squared_error: 0.6658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8461, kappa: 0.688, kb_relative_information_score: 436.7635, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9172, f_measure: 0.861, kappa: 0.7189, kb_relative_information_score: 439.5176, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8612, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.328, root_relative_squared_error: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.8568, kappa: 0.7107, kb_relative_information_score: 449.8661, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8576, predictive_accuracy: 0.8565, prior_entropy: 0.9913, recall: 0.8565, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3358, root_relative_squared_error: 0.6756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8551, kappa: 0.7068, kb_relative_information_score: 437.5915, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8552, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8421, kappa: 0.6807, kb_relative_information_score: 450.703, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8424, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.7518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.8622, kappa: 0.721, kb_relative_information_score: 452.8544, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8622, predictive_accuracy: 0.8623, prior_entropy: 0.9913, recall: 0.8623, relative_absolute_error: 0.3523, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8461, kappa: 0.688, kb_relative_information_score: 435.7482, mean_absolute_error: 0.1876, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8462, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3377, root_relative_squared_error: 0.6796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8596, kappa: 0.7162, kb_relative_information_score: 452.9766, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8601, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.3524, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.8464, kappa: 0.6892, kb_relative_information_score: 443.8084, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8465, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3665, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.852, kappa: 0.7001, kb_relative_information_score: 444.8219, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3242, root_relative_squared_error: 0.6524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.8594, kappa: 0.7153, kb_relative_information_score: 442.9507, mean_absolute_error: 0.1828, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8594, predictive_accuracy: 0.8594, prior_entropy: 0.9913, recall: 0.8594, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8551, kappa: 0.7066, kb_relative_information_score: 457.3333, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8551, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.343, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 443.0243, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.6831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.89, f_measure: 0.8405, kappa: 0.6768, kb_relative_information_score: 439.2304, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8404, predictive_accuracy: 0.8406, prior_entropy: 0.9913, recall: 0.8406, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8392, kappa: 0.6744, kb_relative_information_score: 439.1371, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8392, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3733, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8328, kappa: 0.6609, kb_relative_information_score: 431.4307, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8332, predictive_accuracy: 0.8333, prior_entropy: 0.9913, recall: 0.8333, relative_absolute_error: 0.3756, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8231, kappa: 0.6418, kb_relative_information_score: 426.6982, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8231, predictive_accuracy: 0.8232, prior_entropy: 0.9913, recall: 0.8232, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9045, f_measure: 0.8612, kappa: 0.72, kb_relative_information_score: 447.3657, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8627, predictive_accuracy: 0.8609, prior_entropy: 0.9913, recall: 0.8609, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.8478, kappa: 0.6918, kb_relative_information_score: 454.4589, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8478, predictive_accuracy: 0.8478, prior_entropy: 0.9913, recall: 0.8478, relative_absolute_error: 0.3453, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.8553, kappa: 0.7079, kb_relative_information_score: 449.4819, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8563, predictive_accuracy: 0.8551, prior_entropy: 0.9913, recall: 0.8551, relative_absolute_error: 0.3586, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8535, kappa: 0.7034, kb_relative_information_score: 449.8086, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8535, predictive_accuracy: 0.8536, prior_entropy: 0.9913, recall: 0.8536, relative_absolute_error: 0.3542, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3499, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8452, kappa: 0.6872, kb_relative_information_score: 441.1692, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8458, predictive_accuracy: 0.8449, prior_entropy: 0.9913, recall: 0.8449, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3411, root_relative_squared_error: 0.6864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.8637, kappa: 0.7238, kb_relative_information_score: 460.5427, mean_absolute_error: 0.1681, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8636, predictive_accuracy: 0.8638, prior_entropy: 0.9913, recall: 0.8638, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3325, root_relative_squared_error: 0.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8524, kappa: 0.7017, kb_relative_information_score: 453.82, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8529, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3522, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8579, kappa: 0.7121, kb_relative_information_score: 456.3551, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8578, predictive_accuracy: 0.858, prior_entropy: 0.9913, recall: 0.858, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.852, kappa: 0.7001, kb_relative_information_score: 444.77, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.852, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3664, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3244, root_relative_squared_error: 0.6527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9101, f_measure: 0.8377, kappa: 0.6716, kb_relative_information_score: 434.5154, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8378, predictive_accuracy: 0.8377, prior_entropy: 0.9913, recall: 0.8377, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.6872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8524, kappa: 0.7019, kb_relative_information_score: 446.907, mean_absolute_error: 0.1791, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8532, predictive_accuracy: 0.8522, prior_entropy: 0.9913, recall: 0.8522, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.6798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8259, kappa: 0.6472, kb_relative_information_score: 435.3173, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8258, predictive_accuracy: 0.8261, prior_entropy: 0.9913, recall: 0.8261, relative_absolute_error: 0.3696, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3901, root_relative_squared_error: 0.7851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9242, f_measure: 0.8464, kappa: 0.6892, kb_relative_information_score: 443.1419, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8465, predictive_accuracy: 0.8464, prior_entropy: 0.9913, recall: 0.8464, relative_absolute_error: 0.3672, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3287, root_relative_squared_error: 0.6615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8508, kappa: 0.6981, kb_relative_information_score: 439.0726, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8509, predictive_accuracy: 0.8507, prior_entropy: 0.9913, recall: 0.8507, relative_absolute_error: 0.3721, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8423, kappa: 0.6813, kb_relative_information_score: 439.7804, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8429, predictive_accuracy: 0.842, prior_entropy: 0.9913, recall: 0.842, relative_absolute_error: 0.3716, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3417, root_relative_squared_error: 0.6875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8387, kappa: 0.6729, kb_relative_information_score: 445.5404, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8389, predictive_accuracy: 0.8391, prior_entropy: 0.9913, recall: 0.8391, relative_absolute_error: 0.3574, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7077,

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