Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14672 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14672 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.8943, kappa: 0.8898, kb_relative_information_score: 7006.2812, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8964, predictive_accuracy: 0.8941, prior_entropy: 4.7004, recall: 0.8941, relative_absolute_error: 0.1106, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.4571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5566, f_measure: 0.139, kappa: 0.1133, kb_relative_information_score: 1068.9119, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1365, predictive_accuracy: 0.1474, prior_entropy: 4.7004, recall: 0.1474, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2561, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.856, kappa: 0.8513, kb_relative_information_score: 6687.9563, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8654, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.149, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8179, kappa: 0.8097, kb_relative_information_score: 6374.3695, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8204, predictive_accuracy: 0.817, prior_entropy: 4.7004, recall: 0.817, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.6685, kappa: 0.6539, kb_relative_information_score: 5170.7683, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6706, predictive_accuracy: 0.6672, prior_entropy: 4.7004, recall: 0.6672, relative_absolute_error: 0.3461, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.16, root_relative_squared_error: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8482, kappa: 0.8421, kb_relative_information_score: 6600.2165, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8487, predictive_accuracy: 0.8481, prior_entropy: 4.7004, recall: 0.8481, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8991, kappa: 0.895, kb_relative_information_score: 7027.8444, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9, predictive_accuracy: 0.8991, prior_entropy: 4.7004, recall: 0.8991, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.4504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 1652.1879, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9621, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9552, kappa: 0.9534, kb_relative_information_score: 7443.7978, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9558, predictive_accuracy: 0.9552, prior_entropy: 4.7004, recall: 0.9552, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.7285, kappa: 0.7094, kb_relative_information_score: 204.5038, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7683, predictive_accuracy: 0.7205, prior_entropy: 4.7004, recall: 0.7205, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9018, kappa: 0.8984, kb_relative_information_score: 6984.6791, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9047, predictive_accuracy: 0.9023, prior_entropy: 4.7004, recall: 0.9023, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8281, kappa: 0.8211, kb_relative_information_score: 6369.9387, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8288, predictive_accuracy: 0.828, prior_entropy: 4.7004, recall: 0.828, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.5738, kappa: 0.5808, kb_relative_information_score: 4920.144, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5983, predictive_accuracy: 0.5969, prior_entropy: 4.7004, recall: 0.5969, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.7533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9014, kappa: 0.8976, kb_relative_information_score: 7031.8479, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9016, predictive_accuracy: 0.9015, prior_entropy: 4.7004, recall: 0.9015, relative_absolute_error: 0.1986, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0777, root_relative_squared_error: 0.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.7791, kappa: 0.7588, kb_relative_information_score: 239.5753, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8235, predictive_accuracy: 0.7681, prior_entropy: 4.7004, recall: 0.7681, relative_absolute_error: 0.9958, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.0113, kappa: 0.04, kb_relative_information_score: 1440.1535, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0095, predictive_accuracy: 0.077, prior_entropy: 4.7004, recall: 0.077, relative_absolute_error: 0.9664, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8544, kappa: 0.8495, kb_relative_information_score: 6861.1765, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8645, predictive_accuracy: 0.8553, prior_entropy: 4.7004, recall: 0.8553, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.4961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9071, kappa: 0.8929, kb_relative_information_score: 7111.8555, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9311, predictive_accuracy: 0.897, prior_entropy: 4.7004, recall: 0.897, relative_absolute_error: 0.1033, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8211, kappa: 0.8135, kb_relative_information_score: 6399.118, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8223, predictive_accuracy: 0.8207, prior_entropy: 4.7004, recall: 0.8207, relative_absolute_error: 0.2507, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.5521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.8851, kappa: 0.8808, kb_relative_information_score: 6469.3876, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8876, predictive_accuracy: 0.8853, prior_entropy: 4.7004, recall: 0.8853, relative_absolute_error: 0.37, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0992, root_relative_squared_error: 0.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.8511, kappa: 0.8461, kb_relative_information_score: 6835.1241, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8621, predictive_accuracy: 0.852, prior_entropy: 4.7004, recall: 0.852, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0967, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9527, kappa: 0.9509, kb_relative_information_score: 1650.5191, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9535, predictive_accuracy: 0.9528, prior_entropy: 4.7004, recall: 0.9528, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8803, kappa: 0.8752, kb_relative_information_score: 6897.0595, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8845, predictive_accuracy: 0.88, prior_entropy: 4.7004, recall: 0.88, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.913, kappa: 0.9098, kb_relative_information_score: 5605.8, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9146, predictive_accuracy: 0.9133, prior_entropy: 4.7004, recall: 0.9133, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9405, kappa: 0.9381, kb_relative_information_score: 6462.7572, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9412, predictive_accuracy: 0.9405, prior_entropy: 4.7004, recall: 0.9405, relative_absolute_error: 0.3987, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0935, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.8345, kappa: 0.8278, kb_relative_information_score: 6533.9226, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8349, predictive_accuracy: 0.8344, prior_entropy: 4.7004, recall: 0.8344, relative_absolute_error: 0.1803, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.108, root_relative_squared_error: 0.5618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8999, kappa: 0.8957, kb_relative_information_score: 6997.8871, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9011, predictive_accuracy: 0.8997, prior_entropy: 4.7004, recall: 0.8997, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0877, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.8458, kappa: 0.8397, kb_relative_information_score: 6648.1371, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8461, predictive_accuracy: 0.8458, prior_entropy: 4.7004, recall: 0.8458, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.101, root_relative_squared_error: 0.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8443, kappa: 0.8378, kb_relative_information_score: 6634.6362, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.845, predictive_accuracy: 0.844, prior_entropy: 4.7004, recall: 0.844, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.5212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 5519.7413, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1156, root_relative_squared_error: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5396, f_measure: 0.1113, kappa: 0.0792, kb_relative_information_score: 810.8729, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1104, predictive_accuracy: 0.1147, prior_entropy: 4.7004, recall: 0.1147, relative_absolute_error: 0.9208, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.261, root_relative_squared_error: 1.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.6844, kappa: 0.6711, kb_relative_information_score: 5301.2949, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6857, predictive_accuracy: 0.6837, prior_entropy: 4.7004, recall: 0.6837, relative_absolute_error: 0.3289, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.156, root_relative_squared_error: 0.8111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.8928, kappa: 0.8884, kb_relative_information_score: 7148.8029, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8944, predictive_accuracy: 0.8927, prior_entropy: 4.7004, recall: 0.8927, relative_absolute_error: 0.1457, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8429, kappa: 0.8365, kb_relative_information_score: 6621.2514, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8435, predictive_accuracy: 0.8428, prior_entropy: 4.7004, recall: 0.8428, relative_absolute_error: 0.2013, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0996, root_relative_squared_error: 0.5178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9568, kappa: 0.955, kb_relative_information_score: 1651.4792, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9573, predictive_accuracy: 0.9568, prior_entropy: 4.7004, recall: 0.9568, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8381, kappa: 0.8317, kb_relative_information_score: 6566.592, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8386, predictive_accuracy: 0.8381, prior_entropy: 4.7004, recall: 0.8381, relative_absolute_error: 0.2223, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1003, root_relative_squared_error: 0.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.8297, kappa: 0.8226, kb_relative_information_score: 6493.8383, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8312, predictive_accuracy: 0.8294, prior_entropy: 4.7004, recall: 0.8294, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.8243, kappa: 0.8171, kb_relative_information_score: 6415.3066, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8259, predictive_accuracy: 0.8242, prior_entropy: 4.7004, recall: 0.8242, relative_absolute_error: 0.2619, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.5422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8082, kappa: 0.8001, kb_relative_information_score: 6345.2852, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8111, predictive_accuracy: 0.8077, prior_entropy: 4.7004, recall: 0.8077, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.5548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.8022, kappa: 0.7937, kb_relative_information_score: 6237.6675, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8063, predictive_accuracy: 0.8016, prior_entropy: 4.7004, recall: 0.8016, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.5706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.1485, kappa: 0.1237, kb_relative_information_score: 2074.2697, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.1508, predictive_accuracy: 0.1574, prior_entropy: 4.7004, recall: 0.1574, relative_absolute_error: 0.9135, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1934, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.7856, kappa: 0.7758, kb_relative_information_score: 6105.9693, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7924, predictive_accuracy: 0.7844, prior_entropy: 4.7004, recall: 0.7844, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.7773, kappa: 0.7675, kb_relative_information_score: 5999.4711, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7835, predictive_accuracy: 0.7765, prior_entropy: 4.7004, recall: 0.7765, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.6088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.7559, kappa: 0.746, kb_relative_information_score: 5867.2652, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7666, predictive_accuracy: 0.7558, prior_entropy: 4.7004, recall: 0.7558, relative_absolute_error: 0.3797, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.121, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.7411, kappa: 0.7292, kb_relative_information_score: 5761.2109, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7531, predictive_accuracy: 0.7396, prior_entropy: 4.7004, recall: 0.7396, relative_absolute_error: 0.4036, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.6022, kappa: 0.638, kb_relative_information_score: 5415.6447, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5729, predictive_accuracy: 0.6519, prior_entropy: 4.7004, recall: 0.6519, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.6859, kappa: 0.6732, kb_relative_information_score: 5317.3654, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.6868, predictive_accuracy: 0.6858, prior_entropy: 4.7004, recall: 0.6858, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.8075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9311, kappa: 0.9284, kb_relative_information_score: 6124.1443, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9323, predictive_accuracy: 0.9311, prior_entropy: 4.7004, recall: 0.9311, relative_absolute_error: 0.4794, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9367, kappa: 0.9341, kb_relative_information_score: 6346.2563, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9374, predictive_accuracy: 0.9366, prior_entropy: 4.7004, recall: 0.9366, relative_absolute_error: 0.4276, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0987, root_relative_squared_error: 0.5131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9425, kappa: 0.9402, kb_relative_information_score: 6473.6121, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9432, predictive_accuracy: 0.9425, prior_entropy: 4.7004, recall: 0.9425, relative_absolute_error: 0.3951, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.4867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9431, kappa: 0.9408, kb_relative_information_score: 6615.4378, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9435, predictive_accuracy: 0.9431, prior_entropy: 4.7004, recall: 0.9431, relative_absolute_error: 0.3578, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.4572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.906, kappa: 0.9022, kb_relative_information_score: 7006.7122, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9063, predictive_accuracy: 0.906, prior_entropy: 4.7004, recall: 0.906, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.4127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9419, kappa: 0.9396, kb_relative_information_score: 6700.4923, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9424, predictive_accuracy: 0.9419, prior_entropy: 4.7004, recall: 0.9419, relative_absolute_error: 0.3335, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.0029, kb_relative_information_score: 0.1421, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9457, kappa: 0.9436, kb_relative_information_score: 6796.4562, mean_absolute_error: 0.0226, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9462, predictive_accuracy: 0.9457, prior_entropy: 4.7004, recall: 0.9457, relative_absolute_error: 0.3058, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.4181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9066, kappa: 0.9029, kb_relative_information_score: 7059.6966, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.907, predictive_accuracy: 0.9066, prior_entropy: 4.7004, recall: 0.9066, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9459, kappa: 0.9437, kb_relative_information_score: 6850.5137, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9463, predictive_accuracy: 0.9459, prior_entropy: 4.7004, recall: 0.9459, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.898, kappa: 0.8941, kb_relative_information_score: 6624.194, mean_absolute_error: 0.0246, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9006, predictive_accuracy: 0.8982, prior_entropy: 4.7004, recall: 0.8982, relative_absolute_error: 0.3322, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9081, kappa: 0.9045, kb_relative_information_score: 6814.7521, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9084, predictive_accuracy: 0.9082, prior_entropy: 4.7004, recall: 0.9082, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.4287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9066, kappa: 0.9029, kb_relative_information_score: 7059.6966, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.907, predictive_accuracy: 0.9066, prior_entropy: 4.7004, recall: 0.9066, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9236, kappa: 0.9206, kb_relative_information_score: 6528.0342, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9243, predictive_accuracy: 0.9237, prior_entropy: 4.7004, recall: 0.9237, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.4822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9461, kappa: 0.944, kb_relative_information_score: 6910.7696, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9465, predictive_accuracy: 0.9461, prior_entropy: 4.7004, recall: 0.9461, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.3936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9462, kappa: 0.9441, kb_relative_information_score: 6945.9052, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9466, predictive_accuracy: 0.9463, prior_entropy: 4.7004, recall: 0.9463, relative_absolute_error: 0.2596, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0742, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9467, kappa: 0.9446, kb_relative_information_score: 6984.8467, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.947, predictive_accuracy: 0.9468, prior_entropy: 4.7004, recall: 0.9468, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9465, kappa: 0.9444, kb_relative_information_score: 7005.3805, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9467, predictive_accuracy: 0.9465, prior_entropy: 4.7004, recall: 0.9465, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.3734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9391, kappa: 0.9366, kb_relative_information_score: 7035.3726, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9393, predictive_accuracy: 0.9391, prior_entropy: 4.7004, recall: 0.9391, relative_absolute_error: 0.224, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.7315, kappa: 0.7204, kb_relative_information_score: 5775.7689, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7328, predictive_accuracy: 0.7312, prior_entropy: 4.7004, recall: 0.7312, relative_absolute_error: 0.3041, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.6976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8496, kappa: 0.8447, kb_relative_information_score: 6638.8486, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8601, predictive_accuracy: 0.8507, prior_entropy: 4.7004, recall: 0.8507, relative_absolute_error: 0.1552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.5527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9638, kappa: 0.9624, kb_relative_information_score: 7548.8363, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9639, predictive_accuracy: 0.9638, prior_entropy: 4.7004, recall: 0.9638, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.924, kappa: 0.9206, kb_relative_information_score: 7264.2102, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9247, predictive_accuracy: 0.9237, prior_entropy: 4.7004, recall: 0.9237, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0705, root_relative_squared_error: 0.3667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0029, kb_relative_information_score: 209.7177, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0015, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.882, kappa: 0.8773, kb_relative_information_score: 6873.117, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8825, predictive_accuracy: 0.882, prior_entropy: 4.7004, recall: 0.882, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, f_measure: 0.4732, kappa: 0.4389, kb_relative_information_score: 2868.4681, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.5145, predictive_accuracy: 0.4604, prior_entropy: 4.7004, recall: 0.4604, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1709, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.022, kappa: 0.0395, kb_relative_information_score: 1474.9775, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.0148, predictive_accuracy: 0.0764, prior_entropy: 4.7004, recall: 0.0764, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.189, root_relative_squared_error: 0.9826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.82, kappa: 0.8129, kb_relative_information_score: 6335.4267, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8214, predictive_accuracy: 0.8201, prior_entropy: 4.7004, recall: 0.8201, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.5858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9322, kappa: 0.9296, kb_relative_information_score: 7310.5629, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9323, predictive_accuracy: 0.9323, prior_entropy: 4.7004, recall: 0.9323, relative_absolute_error: 0.0713, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9208, kappa: 0.9176, kb_relative_information_score: 7225.011, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9213, predictive_accuracy: 0.9207, prior_entropy: 4.7004, recall: 0.9207, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0683, root_relative_squared_error: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.8907, kappa: 0.8862, kb_relative_information_score: 6863.244, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8914, predictive_accuracy: 0.8906, prior_entropy: 4.7004, recall: 0.8906, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9204, kappa: 0.9174, kb_relative_information_score: 6822.8759, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9208, predictive_accuracy: 0.9206, prior_entropy: 4.7004, recall: 0.9206, relative_absolute_error: 0.2764, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0823, root_relative_squared_error: 0.4279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.7889, kappa: 0.7679, kb_relative_information_score: 6044.7161, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8363, predictive_accuracy: 0.7768, prior_entropy: 4.7004, recall: 0.7768, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9612, kappa: 0.9596, kb_relative_information_score: 7510.7226, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9613, predictive_accuracy: 0.9611, prior_entropy: 4.7004, recall: 0.9611, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0529, root_relative_squared_error: 0.2752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.6786, kappa: 0.7036, kb_relative_information_score: 2472.2269, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.739, predictive_accuracy: 0.715, prior_entropy: 4.7004, recall: 0.715, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9552, kappa: 0.9534, kb_relative_information_score: 7443.7978, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9558, predictive_accuracy: 0.9552, prior_entropy: 4.7004, recall: 0.9552, relative_absolute_error: 0.0466, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0587, root_relative_squared_error: 0.3051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9638, kappa: 0.9624, kb_relative_information_score: 7548.8363, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9639, predictive_accuracy: 0.9638, prior_entropy: 4.7004, recall: 0.9638, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0477, root_relative_squared_error: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9654, kappa: 0.964, kb_relative_information_score: 7563.8174, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9655, predictive_accuracy: 0.9654, prior_entropy: 4.7004, recall: 0.9654, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0451, root_relative_squared_error: 0.2348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9416, kappa: 0.9393, kb_relative_information_score: 7028.1766, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9419, predictive_accuracy: 0.9416, prior_entropy: 4.7004, recall: 0.9416, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.3705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.878, kappa: 0.8734, kb_relative_information_score: 6891.0676, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8787, predictive_accuracy: 0.8783, prior_entropy: 4.7004, recall: 0.8783, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.852, kappa: 0.8463, kb_relative_information_score: 6800.5802, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8618, predictive_accuracy: 0.8523, prior_entropy: 4.7004, recall: 0.8523, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.4856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8641, kappa: 0.859, kb_relative_information_score: 6881.0141, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8702, predictive_accuracy: 0.8644, prior_entropy: 4.7004, recall: 0.8644, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9303, f_measure: 0.785, kappa: 0.7703, kb_relative_information_score: 6041.1923, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.7989, predictive_accuracy: 0.7791, prior_entropy: 4.7004, recall: 0.7791, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1211, root_relative_squared_error: 0.6295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9483, kappa: 0.9462, kb_relative_information_score: 7417.4155, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9483, predictive_accuracy: 0.9483, prior_entropy: 4.7004, recall: 0.9483, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.3019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9336, kappa: 0.9309, kb_relative_information_score: 6974.4912, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9339, predictive_accuracy: 0.9336, prior_entropy: 4.7004, recall: 0.9336, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9108, f_measure: 0.8286, kappa: 0.8217, kb_relative_information_score: 6443.9224, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8294, predictive_accuracy: 0.8285, prior_entropy: 4.7004, recall: 0.8285, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1149, root_relative_squared_error: 0.5972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8556, kappa: 0.8513, kb_relative_information_score: 6668.4834, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8671, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, f_measure: 0.0144, kappa: 0.0399, kb_relative_information_score: 1445.1678, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.009, predictive_accuracy: 0.0768, prior_entropy: 4.7004, recall: 0.0768, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.767, kappa: 0.7571, kb_relative_information_score: 6156.4621, mean_absolute_error: 0.0244, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.769, predictive_accuracy: 0.7664, prior_entropy: 4.7004, recall: 0.7664, relative_absolute_error: 0.3298, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.5882,

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