OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31669 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31669 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.9002, kappa: 0.747, kb_relative_information_score: 0.7479, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9102, predictive_accuracy: 0.9051, prior_entropy: 0.863, recall: 0.9051, relative_absolute_error: 0.2325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.308, root_relative_squared_error: 0.6819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9653, kappa: 0.915, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.085, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.4124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9635, kappa: 0.9105, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.9287, kappa: 0.8252, kb_relative_information_score: 0.8104, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9287, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.1748, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.9022, kappa: 0.7522, kb_relative_information_score: 0.7528, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.912, predictive_accuracy: 0.9069, prior_entropy: 0.863, recall: 0.9069, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.305, root_relative_squared_error: 0.6753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9569, kappa: 0.8942, kb_relative_information_score: 0.8855, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9568, predictive_accuracy: 0.9569, prior_entropy: 0.863, recall: 0.9569, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2076, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.9406, kappa: 0.8546, kb_relative_information_score: 0.8421, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9406, prior_entropy: 0.863, recall: 0.9406, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 0.9039, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.4211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.9632, kappa: 0.9098, kb_relative_information_score: 0.9021, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.192, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.9449, kappa: 0.8634, kb_relative_information_score: 0.8554, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9454, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.9097, kappa: 0.7721, kb_relative_information_score: 0.7701, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.917, predictive_accuracy: 0.9135, prior_entropy: 0.863, recall: 0.9135, relative_absolute_error: 0.212, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.6512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9589, kappa: 0.8988, kb_relative_information_score: 0.8912, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.9524, kappa: 0.8836, kb_relative_information_score: 0.8736, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.863, recall: 0.9524, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9629, kappa: 0.9091, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1926, root_relative_squared_error: 0.4263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9551, kappa: 0.8895, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9554, prior_entropy: 0.863, recall: 0.9554, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9656, kappa: 0.9157, kb_relative_information_score: 0.9086, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9656, prior_entropy: 0.863, recall: 0.9656, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1854, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9627, kappa: 0.9086, kb_relative_information_score: 0.9011, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.4271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.9612, kappa: 0.9046, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9611, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1968, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9636, kappa: 0.9109, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9636, prior_entropy: 0.863, recall: 0.9636, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.4221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.951, kappa: 0.8798, kb_relative_information_score: 0.8699, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9509, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9503, kappa: 0.878, kb_relative_information_score: 0.8679, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9503, prior_entropy: 0.863, recall: 0.9503, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.4935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.9494, kappa: 0.8748, kb_relative_information_score: 0.8667, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9498, prior_entropy: 0.863, recall: 0.9498, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9573, kappa: 0.8951, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.959, kappa: 0.8992, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.959, kappa: 0.8992, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9355, kappa: 0.8422, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.9355, kappa: 0.8422, kb_relative_information_score: 0.8285, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9356, predictive_accuracy: 0.9355, prior_entropy: 0.863, recall: 0.9355, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.254, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7962, kappa: 0.4752, kb_relative_information_score: 0.5309, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8494, predictive_accuracy: 0.8234, prior_entropy: 0.863, recall: 0.8234, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7962, kappa: 0.4752, kb_relative_information_score: 0.5309, mean_absolute_error: 0.1766, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8494, predictive_accuracy: 0.8234, prior_entropy: 0.863, recall: 0.8234, relative_absolute_error: 0.4326, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4202, root_relative_squared_error: 0.9302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6533, f_measure: 0.7605, kappa: 0.3843, kb_relative_information_score: 0.4675, mean_absolute_error: 0.2004, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8333, predictive_accuracy: 0.7996, prior_entropy: 0.863, recall: 0.7996, relative_absolute_error: 0.4911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6215, f_measure: 0.7317, kappa: 0.3126, kb_relative_information_score: 0.4203, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8216, predictive_accuracy: 0.7818, prior_entropy: 0.863, recall: 0.7818, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4671, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.7396, kappa: 0.332, kb_relative_information_score: 0.4328, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8245, predictive_accuracy: 0.7865, prior_entropy: 0.863, recall: 0.7865, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.462, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.7591, kappa: 0.3808, kb_relative_information_score: 0.4652, mean_absolute_error: 0.2013, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8328, predictive_accuracy: 0.7987, prior_entropy: 0.863, recall: 0.7987, relative_absolute_error: 0.4932, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9573, kappa: 0.8951, kb_relative_information_score: 0.8866, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9573, prior_entropy: 0.863, recall: 0.9573, relative_absolute_error: 0.1046, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2066, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 0.9053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 0.9053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9699, kappa: 0.9259, kb_relative_information_score: 0.8545, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0594, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.154, root_relative_squared_error: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9507, kappa: 0.8788, kb_relative_information_score: 0.8368, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9506, predictive_accuracy: 0.9508, prior_entropy: 0.863, recall: 0.9508, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9721, kappa: 0.9314, kb_relative_information_score: 0.9001, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.9721, prior_entropy: 0.863, recall: 0.9721, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9729, kappa: 0.9336, kb_relative_information_score: 0.9082, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9728, kappa: 0.9333, kb_relative_information_score: 0.1829, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9729, prior_entropy: 0.863, recall: 0.9729, relative_absolute_error: 0.7764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.8001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 0.9053, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1888, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9636, kappa: 0.9107, kb_relative_information_score: 0.9036, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9636, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.4218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.9515, kappa: 0.8815, kb_relative_information_score: 0.8709, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9517, predictive_accuracy: 0.9514, prior_entropy: 0.863, recall: 0.9514, relative_absolute_error: 0.1191, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9627, kappa: 0.9084, kb_relative_information_score: 0.9012, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9528, f_measure: 0.9632, kappa: 0.9095, kb_relative_information_score: 0.9023, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.0901, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.9647, kappa: 0.9133, kb_relative_information_score: 0.9063, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9626, kappa: 0.9084, kb_relative_information_score: 0.9009, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9627, prior_entropy: 0.863, recall: 0.9627, relative_absolute_error: 0.0914, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9643, kappa: 0.9122, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.9579, kappa: 0.8969, kb_relative_information_score: 0.8883, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.863, recall: 0.958, relative_absolute_error: 0.103, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.205, root_relative_squared_error: 0.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9439, f_measure: 0.9537, kappa: 0.8866, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9537, prior_entropy: 0.863, recall: 0.9537, relative_absolute_error: 0.1135, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.9561, kappa: 0.8927, kb_relative_information_score: 0.8833, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9643, kappa: 0.9121, kb_relative_information_score: 0.9054, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.0872, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1887, root_relative_squared_error: 0.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.9571, kappa: 0.8951, kb_relative_information_score: 0.8857, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9573, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.9556, kappa: 0.8911, kb_relative_information_score: 0.882, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9555, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 0.9066, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.9325, kappa: 0.8358, kb_relative_information_score: 0.8194, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9333, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9605, kappa: 0.9031, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9605, predictive_accuracy: 0.9605, prior_entropy: 0.863, recall: 0.9605, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7622, kappa: 0.4563, kb_relative_information_score: 0.3425, mean_absolute_error: 0.2474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7896, predictive_accuracy: 0.7526, prior_entropy: 0.863, recall: 0.7526, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8553, f_measure: 0.8677, kappa: 0.6829, kb_relative_information_score: 0.6422, mean_absolute_error: 0.1347, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8729, predictive_accuracy: 0.8653, prior_entropy: 0.863, recall: 0.8653, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.367, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.8801, kappa: 0.7145, kb_relative_information_score: 0.674, mean_absolute_error: 0.1227, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8876, predictive_accuracy: 0.8773, prior_entropy: 0.863, recall: 0.8773, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8674, kappa: 0.6826, kb_relative_information_score: 0.6407, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8732, predictive_accuracy: 0.8648, prior_entropy: 0.863, recall: 0.8648, relative_absolute_error: 0.3313, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.9045, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.0881, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9498, kappa: 0.8774, kb_relative_information_score: 0.8662, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9543, kappa: 0.8873, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9546, prior_entropy: 0.863, recall: 0.9546, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9634, kappa: 0.9101, kb_relative_information_score: 0.9031, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9634, predictive_accuracy: 0.9635, prior_entropy: 0.863, recall: 0.9635, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8662, kappa: 0.6795, kb_relative_information_score: 0.6377, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8717, predictive_accuracy: 0.8637, prior_entropy: 0.863, recall: 0.8637, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8662, kappa: 0.6795, kb_relative_information_score: 0.6377, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8717, predictive_accuracy: 0.8637, prior_entropy: 0.863, recall: 0.8637, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 0.909, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 0.909, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8924, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8924, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9595, prior_entropy: 0.863, recall: 0.9595, relative_absolute_error: 0.0993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8961, kappa: 0.7494, kb_relative_information_score: 0.7201, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8991, predictive_accuracy: 0.8946, prior_entropy: 0.863, recall: 0.8946, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8961, kappa: 0.7494, kb_relative_information_score: 0.7201, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8991, predictive_accuracy: 0.8946, prior_entropy: 0.863, recall: 0.8946, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3246, root_relative_squared_error: 0.7186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.9012, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9627, kappa: 0.9085, kb_relative_information_score: 0.9012, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9591, kappa: 0.8999, kb_relative_information_score: 0.8913, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.9591, kappa: 0.8999, kb_relative_information_score: 0.8913, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.1003, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2023, root_relative_squared_error: 0.4478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.825, kappa: 0.5995, kb_relative_information_score: 0.5165, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8512, predictive_accuracy: 0.818, prior_entropy: 0.863, recall: 0.818, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.825, kappa: 0.5995, kb_relative_information_score: 0.5165, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8512, predictive_accuracy: 0.818, prior_entropy: 0.863, recall: 0.818, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8992, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8992, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9374, kappa: 0.8478, kb_relative_information_score: 0.8325, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 0.9044, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9302, f_measure: 0.9374, kappa: 0.8478, kb_relative_information_score: 0.8325, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9383, predictive_accuracy: 0.937, prior_entropy: 0.863, recall: 0.937, relative_absolute_error: 0.1545, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 0.9048, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.4191,

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

OpenML APIs