OpenML
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 16526 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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16526 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7505, kappa: 0.1075, kb_relative_information_score: 0.028, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7728, predictive_accuracy: 0.8114, prior_entropy: 0.7087, recall: 0.8114, relative_absolute_error: 0.8962, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7617, kappa: 0.15, kb_relative_information_score: 0.0415, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7815, kappa: 0.2311, kb_relative_information_score: 0.0941, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7828, predictive_accuracy: 0.8154, prior_entropy: 0.7087, recall: 0.8154, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.738, f_measure: 0.779, kappa: 0.2236, kb_relative_information_score: 0.0744, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.778, predictive_accuracy: 0.8123, prior_entropy: 0.7087, recall: 0.8123, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7752, kappa: 0.2058, kb_relative_information_score: 0.0667, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7781, predictive_accuracy: 0.8135, prior_entropy: 0.7087, recall: 0.8135, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.7776, kappa: 0.2168, kb_relative_information_score: 0.0782, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7783, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.7748, kappa: 0.2228, kb_relative_information_score: 0.0427, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7662, predictive_accuracy: 0.7987, prior_entropy: 0.7087, recall: 0.7987, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7273, f_measure: 0.7895, kappa: 0.2687, kb_relative_information_score: 0.1559, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7861, predictive_accuracy: 0.8151, prior_entropy: 0.7087, recall: 0.8151, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5783, f_measure: 0.7767, kappa: 0.2099, kb_relative_information_score: 0.3046, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.8161, prior_entropy: 0.7087, recall: 0.8161, relative_absolute_error: 0.5893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7838, kappa: 0.2747, kb_relative_information_score: 0.1679, mean_absolute_error: 0.2222, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7764, predictive_accuracy: 0.7959, prior_entropy: 0.7087, recall: 0.7959, relative_absolute_error: 0.7118, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4151, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6354, f_measure: 0.7385, kappa: 0.194, kb_relative_information_score: -0.0443, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7493, predictive_accuracy: 0.7296, prior_entropy: 0.7087, recall: 0.7296, relative_absolute_error: 0.8833, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.502, root_relative_squared_error: 1.2708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7909, kappa: 0.2735, kb_relative_information_score: 0.1804, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8164, prior_entropy: 0.7087, recall: 0.8164, relative_absolute_error: 0.7255, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.379, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7288, f_measure: 0.7905, kappa: 0.2688, kb_relative_information_score: 0.1483, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7896, predictive_accuracy: 0.8184, prior_entropy: 0.7087, recall: 0.8184, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.561, f_measure: 0.7671, kappa: 0.1707, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7803, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.7671, kappa: 0.1725, kb_relative_information_score: 0.0544, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7748, predictive_accuracy: 0.8126, prior_entropy: 0.7087, recall: 0.8126, relative_absolute_error: 0.8643, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.7579, kappa: 0.1354, kb_relative_information_score: 0.0399, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7762, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.8851, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7857, kappa: 0.272, kb_relative_information_score: 0.1455, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.778, predictive_accuracy: 0.802, prior_entropy: 0.7087, recall: 0.802, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7359, f_measure: 0.7834, kappa: 0.2392, kb_relative_information_score: 0.1011, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7844, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3707, root_relative_squared_error: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.767, kappa: 0.1707, kb_relative_information_score: 0.0504, mean_absolute_error: 0.2718, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7784, predictive_accuracy: 0.8142, prior_entropy: 0.7087, recall: 0.8142, relative_absolute_error: 0.8709, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.7693, kappa: 0.1798, kb_relative_information_score: 0.0501, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7793, predictive_accuracy: 0.8146, prior_entropy: 0.7087, recall: 0.8146, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.7717, kappa: 0.1918, kb_relative_information_score: 0.0605, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7754, predictive_accuracy: 0.8124, prior_entropy: 0.7087, recall: 0.8124, relative_absolute_error: 0.8559, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.9348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7252, f_measure: 0.7506, kappa: 0.108, kb_relative_information_score: 0.0286, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7709, predictive_accuracy: 0.8109, prior_entropy: 0.7087, recall: 0.8109, relative_absolute_error: 0.8951, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.7738, kappa: 0.1989, kb_relative_information_score: 0.071, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7793, predictive_accuracy: 0.8144, prior_entropy: 0.7087, recall: 0.8144, relative_absolute_error: 0.8496, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7778, kappa: 0.2137, kb_relative_information_score: 0.0828, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8169, prior_entropy: 0.7087, recall: 0.8169, relative_absolute_error: 0.8398, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.9294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.7718, kappa: 0.2491, kb_relative_information_score: 0.1052, mean_absolute_error: 0.2381, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7664, predictive_accuracy: 0.7786, prior_entropy: 0.7087, recall: 0.7786, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4403, root_relative_squared_error: 1.1147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7441, f_measure: 0.7865, kappa: 0.2506, kb_relative_information_score: 0.1079, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7881, predictive_accuracy: 0.8183, prior_entropy: 0.7087, recall: 0.8183, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.7809, kappa: 0.2271, kb_relative_information_score: 0.3077, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7847, predictive_accuracy: 0.8169, prior_entropy: 0.7087, recall: 0.8169, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7731, kappa: 0.1971, kb_relative_information_score: 0.0702, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7846, kappa: 0.2481, kb_relative_information_score: 0.1087, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7818, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.7975, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.374, root_relative_squared_error: 0.9467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.792, kappa: 0.2801, kb_relative_information_score: 0.2026, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7879, predictive_accuracy: 0.8154, prior_entropy: 0.7087, recall: 0.8154, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.7786, kappa: 0.2155, kb_relative_information_score: 0.3153, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7883, predictive_accuracy: 0.8189, prior_entropy: 0.7087, recall: 0.8189, relative_absolute_error: 0.5801, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4255, root_relative_squared_error: 1.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.7621, kappa: 0.1693, kb_relative_information_score: -0.0026, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.752, predictive_accuracy: 0.7938, prior_entropy: 0.7087, recall: 0.7938, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7274, f_measure: 0.7888, kappa: 0.2635, kb_relative_information_score: 0.1143, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7867, predictive_accuracy: 0.8163, prior_entropy: 0.7087, recall: 0.8163, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3752, root_relative_squared_error: 0.9497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.7098, kappa: 0.0203, kb_relative_information_score: -0.0343, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6945, predictive_accuracy: 0.7288, prior_entropy: 0.7087, recall: 0.7288, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5163, root_relative_squared_error: 1.3071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7669, kappa: 0.1717, kb_relative_information_score: 0.0565, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.774, predictive_accuracy: 0.8122, prior_entropy: 0.7087, recall: 0.8122, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7362, f_measure: 0.7661, kappa: 0.1684, kb_relative_information_score: 0.0411, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.812, prior_entropy: 0.7087, recall: 0.812, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7421, f_measure: 0.7645, kappa: 0.1605, kb_relative_information_score: 0.0511, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7802, predictive_accuracy: 0.8148, prior_entropy: 0.7087, recall: 0.8148, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.7886, kappa: 0.2659, kb_relative_information_score: 0.1288, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7848, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.375, root_relative_squared_error: 0.9494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5561, f_measure: 0.7642, kappa: 0.1592, kb_relative_information_score: 0.3011, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7814, predictive_accuracy: 0.8152, prior_entropy: 0.7087, recall: 0.8152, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.7739, kappa: 0.2006, kb_relative_information_score: 0.0669, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.777, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7286, f_measure: 0.7876, kappa: 0.2656, kb_relative_information_score: 0.1004, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7821, predictive_accuracy: 0.8109, prior_entropy: 0.7087, recall: 0.8109, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.376, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.7691, kappa: 0.1794, kb_relative_information_score: 0.0563, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7788, predictive_accuracy: 0.8144, prior_entropy: 0.7087, recall: 0.8144, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.7676, kappa: 0.1737, kb_relative_information_score: 0.064, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7764, predictive_accuracy: 0.8133, prior_entropy: 0.7087, recall: 0.8133, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.7772, kappa: 0.2538, kb_relative_information_score: 0.1679, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7695, predictive_accuracy: 0.7891, prior_entropy: 0.7087, recall: 0.7891, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.0958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.7206, kappa: 0.0014, kb_relative_information_score: -0.0127, mean_absolute_error: 0.2827, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7231, predictive_accuracy: 0.8063, prior_entropy: 0.7087, recall: 0.8063, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.7655, kappa: 0.1643, kb_relative_information_score: 0.3004, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7805, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.5928, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4301, root_relative_squared_error: 1.0889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.7526, kappa: 0.1152, kb_relative_information_score: 0.0299, mean_absolute_error: 0.2791, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7778, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7442, f_measure: 0.7696, kappa: 0.1818, kb_relative_information_score: 0.0724, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7769, predictive_accuracy: 0.8135, prior_entropy: 0.7087, recall: 0.8135, relative_absolute_error: 0.8506, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6428, f_measure: 0.7304, kappa: 0.134, kb_relative_information_score: -0.0799, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7297, predictive_accuracy: 0.731, prior_entropy: 0.7087, recall: 0.731, relative_absolute_error: 0.9159, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, kb_relative_information_score: 0.0029, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.389, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.7631, kappa: 0.1556, kb_relative_information_score: 0.0427, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7759, predictive_accuracy: 0.8131, prior_entropy: 0.7087, recall: 0.8131, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.7896, kappa: 0.2637, kb_relative_information_score: 0.1193, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7898, predictive_accuracy: 0.8189, prior_entropy: 0.7087, recall: 0.8189, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.9363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7695, kappa: 0.1806, kb_relative_information_score: 0.0586, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7801, predictive_accuracy: 0.815, prior_entropy: 0.7087, recall: 0.815, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.736, f_measure: 0.7635, kappa: 0.1574, kb_relative_information_score: 0.0436, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7749, predictive_accuracy: 0.8128, prior_entropy: 0.7087, recall: 0.8128, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7891, kappa: 0.2698, kb_relative_information_score: 0.1779, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7843, predictive_accuracy: 0.8129, prior_entropy: 0.7087, recall: 0.8129, relative_absolute_error: 0.7211, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.383, root_relative_squared_error: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5547, f_measure: 0.7042, kappa: 0.0996, kb_relative_information_score: -0.1665, mean_absolute_error: 0.3085, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7197, predictive_accuracy: 0.6915, prior_entropy: 0.7087, recall: 0.6915, relative_absolute_error: 0.9884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5554, root_relative_squared_error: 1.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7371, f_measure: 0.7784, kappa: 0.2201, kb_relative_information_score: 0.0544, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7788, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7892, kappa: 0.2656, kb_relative_information_score: 0.1499, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7868, predictive_accuracy: 0.8162, prior_entropy: 0.7087, recall: 0.8162, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.7227, kappa: 0.1227, kb_relative_information_score: -0.1308, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7263, predictive_accuracy: 0.7193, prior_entropy: 0.7087, recall: 0.7193, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7877, kappa: 0.255, kb_relative_information_score: 0.1097, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7894, predictive_accuracy: 0.819, prior_entropy: 0.7087, recall: 0.819, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3668, root_relative_squared_error: 0.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7437, f_measure: 0.7739, kappa: 0.1998, kb_relative_information_score: 0.0684, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8136, prior_entropy: 0.7087, recall: 0.8136, relative_absolute_error: 0.8511, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7358, f_measure: 0.7661, kappa: 0.1674, kb_relative_information_score: 0.0471, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.778, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.7546, kappa: 0.1224, kb_relative_information_score: 0.0313, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7827, predictive_accuracy: 0.8141, prior_entropy: 0.7087, recall: 0.8141, relative_absolute_error: 0.8938, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3715, root_relative_squared_error: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5869, f_measure: 0.7351, kappa: 0.1264, kb_relative_information_score: 0.0234, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7278, predictive_accuracy: 0.7437, prior_entropy: 0.7087, recall: 0.7437, relative_absolute_error: 0.8292, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4935, root_relative_squared_error: 1.2492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.7867, kappa: 0.2481, kb_relative_information_score: 0.0952, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7929, predictive_accuracy: 0.8214, prior_entropy: 0.7087, recall: 0.8214, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.7794, kappa: 0.2208, kb_relative_information_score: 0.3077, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7845, predictive_accuracy: 0.8169, prior_entropy: 0.7087, recall: 0.8169, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4279, root_relative_squared_error: 1.0832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.721, kappa: 0.0076, kb_relative_information_score: -0.024, mean_absolute_error: 0.2731, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6918, predictive_accuracy: 0.7766, prior_entropy: 0.7087, recall: 0.7766, relative_absolute_error: 0.8751, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.0587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7301, f_measure: 0.7824, kappa: 0.2378, kb_relative_information_score: 0.1076, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7808, predictive_accuracy: 0.8134, prior_entropy: 0.7087, recall: 0.8134, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7101, f_measure: 0.771, kappa: 0.212, kb_relative_information_score: 0.041, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7614, predictive_accuracy: 0.7938, prior_entropy: 0.7087, recall: 0.7938, relative_absolute_error: 0.8405, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7907, kappa: 0.275, kb_relative_information_score: 0.2085, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7866, predictive_accuracy: 0.8147, prior_entropy: 0.7087, recall: 0.8147, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.386, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7842, kappa: 0.2609, kb_relative_information_score: 0.0817, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7765, predictive_accuracy: 0.8037, prior_entropy: 0.7087, recall: 0.8037, relative_absolute_error: 0.8081, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3812, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.7787, kappa: 0.2192, kb_relative_information_score: 0.3011, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7816, predictive_accuracy: 0.8152, prior_entropy: 0.7087, recall: 0.8152, relative_absolute_error: 0.5922, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4299, root_relative_squared_error: 1.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, kb_relative_information_score: 0.0053, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.377, root_relative_squared_error: 0.9545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7582, kappa: 0.1368, kb_relative_information_score: 0.0319, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7735, predictive_accuracy: 0.8121, prior_entropy: 0.7087, recall: 0.8121, relative_absolute_error: 0.8879, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3712, root_relative_squared_error: 0.9396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7246, f_measure: 0.7911, kappa: 0.275, kb_relative_information_score: 0.1663, mean_absolute_error: 0.2301, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7877, predictive_accuracy: 0.816, prior_entropy: 0.7087, recall: 0.816, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7265, f_measure: 0.754, kappa: 0.1205, kb_relative_information_score: 0.0301, mean_absolute_error: 0.2789, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7755, predictive_accuracy: 0.8124, prior_entropy: 0.7087, recall: 0.8124, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7644, kappa: 0.1604, kb_relative_information_score: 0.0496, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.814, prior_entropy: 0.7087, recall: 0.814, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, kb_relative_information_score: 0.0026, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.7811, kappa: 0.2321, kb_relative_information_score: 0.0803, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7173, f_measure: 0.7766, kappa: 0.2252, kb_relative_information_score: 0.0613, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7691, predictive_accuracy: 0.8026, prior_entropy: 0.7087, recall: 0.8026, relative_absolute_error: 0.8291, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.382, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7409, f_measure: 0.7868, kappa: 0.2499, kb_relative_information_score: 0.0998, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7906, predictive_accuracy: 0.82, prior_entropy: 0.7087, recall: 0.82, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.7615, kappa: 0.1487, kb_relative_information_score: 0.298, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7797, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4309, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.7714, kappa: 0.2328, kb_relative_information_score: 0.0719, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.763, predictive_accuracy: 0.7842, prior_entropy: 0.7087, recall: 0.7842, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.414, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.783, kappa: 0.2375, kb_relative_information_score: 0.0982, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8159, prior_entropy: 0.7087, recall: 0.8159, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3714, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7786, kappa: 0.2227, kb_relative_information_score: 0.0698, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.777, predictive_accuracy: 0.8116, prior_entropy: 0.7087, recall: 0.8116, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.371, root_relative_squared_error: 0.9392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.732, f_measure: 0.786, kappa: 0.2532, kb_relative_information_score: 0.1375, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7835, predictive_accuracy: 0.8143, prior_entropy: 0.7087, recall: 0.8143, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7869, kappa: 0.2579, kb_relative_information_score: 0.1157, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7836, predictive_accuracy: 0.8139, prior_entropy: 0.7087, recall: 0.8139, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.9529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.7844, kappa: 0.2606, kb_relative_information_score: 0.1139, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.777, predictive_accuracy: 0.8046, prior_entropy: 0.7087, recall: 0.8046, relative_absolute_error: 0.7775, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5626, f_measure: 0.7674, kappa: 0.1731, kb_relative_information_score: 0.2938, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8132, prior_entropy: 0.7087, recall: 0.8132, relative_absolute_error: 0.5984, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4322, root_relative_squared_error: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7782, kappa: 0.2141, kb_relative_information_score: 0.0823, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7873, predictive_accuracy: 0.8185, prior_entropy: 0.7087, recall: 0.8185, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.7785, kappa: 0.2202, kb_relative_information_score: 0.0741, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7791, predictive_accuracy: 0.8134, prior_entropy: 0.7087, recall: 0.8134, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.7904, kappa: 0.2822, kb_relative_information_score: 0.1611, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7839, predictive_accuracy: 0.8095, prior_entropy: 0.7087, recall: 0.8095, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.7256, kappa: 0.0175, kb_relative_information_score: -0.0165, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7098, predictive_accuracy: 0.7997, prior_entropy: 0.7087, recall: 0.7997, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.9634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7156, f_measure: 0.7731, kappa: 0.2089, kb_relative_information_score: 0.0572, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7661, predictive_accuracy: 0.8025, prior_entropy: 0.7087, recall: 0.8025, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.9596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, kb_relative_information_score: -0.0069, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, predictive_accuracy: 0.8065, prior_entropy: 0.7087, recall: 0.8065, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.384, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.553, f_measure: 0.7621, kappa: 0.1513, kb_relative_information_score: 0.2987, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8145, prior_entropy: 0.7087, recall: 0.8145, relative_absolute_error: 0.5943, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4307, root_relative_squared_error: 1.0903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7414, f_measure: 0.7451, kappa: 0.0874, kb_relative_information_score: 0.0411, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7878, predictive_accuracy: 0.813, prior_entropy: 0.7087, recall: 0.813, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.7342, kappa: 0.1332, kb_relative_information_score: -0.0054, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7296, predictive_accuracy: 0.7392, prior_entropy: 0.7087, recall: 0.7392, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.7731, kappa: 0.2086, kb_relative_information_score: 0.0481, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7662, predictive_accuracy: 0.8027, prior_entropy: 0.7087, recall: 0.8027, relative_absolute_error: 0.84, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7858, kappa: 0.2465, kb_relative_information_score: 0.1091, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7887, predictive_accuracy: 0.8188, prior_entropy: 0.7087, recall: 0.8188, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9319,

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

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

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