OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 54820 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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54820 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1244.8986, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7574, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4234, root_relative_squared_error: 0.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8443, f_measure: 0.7892, kappa: 0.5785, kb_relative_information_score: 1311.7796, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7893, predictive_accuracy: 0.7892, prior_entropy: 1, recall: 0.7892, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4042, root_relative_squared_error: 0.8084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7823, f_measure: 0.7572, kappa: 0.5146, kb_relative_information_score: 1341.8182, mean_absolute_error: 0.2416, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7577, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.4832, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1257.0916, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7799, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, f_measure: 0.7564, kappa: 0.5131, kb_relative_information_score: 1214.2671, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7571, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1250.2799, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7589, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5265, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7777, kappa: 0.5554, kb_relative_information_score: 1413.9638, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7777, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.459, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4405, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1337.3596, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7652, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7765, kappa: 0.5531, kb_relative_information_score: 1410.4123, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7765, predictive_accuracy: 0.7765, prior_entropy: 1, recall: 0.7765, relative_absolute_error: 0.4594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.7681, kappa: 0.5362, kb_relative_information_score: 1398, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 1, recall: 0.7681, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4786, root_relative_squared_error: 0.9571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1259.2773, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7775, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.778, kappa: 0.5562, kb_relative_information_score: 1251.1786, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7782, predictive_accuracy: 0.7781, prior_entropy: 1, recall: 0.7781, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.8249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7734, kappa: 0.5469, kb_relative_information_score: 1397.5553, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7735, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.4641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.445, root_relative_squared_error: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8263, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1362.2378, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.8647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7819, kappa: 0.5638, kb_relative_information_score: 1291.2299, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.782, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.5156, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.8186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1367.3329, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7789, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.4807, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7584, kappa: 0.5169, kb_relative_information_score: 1274.6822, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7586, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.5157, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7565, kappa: 0.5131, kb_relative_information_score: 1238.6763, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7566, predictive_accuracy: 0.7565, prior_entropy: 1, recall: 0.7565, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1279.7486, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7813, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5204, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8365, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1318.2818, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7796, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.7598, kappa: 0.52, kb_relative_information_score: 1380.9503, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7608, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7862, f_measure: 0.7573, kappa: 0.5146, kb_relative_information_score: 1343.9374, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7573, predictive_accuracy: 0.7573, prior_entropy: 1, recall: 0.7573, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7618, kappa: 0.5238, kb_relative_information_score: 1358.5063, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7625, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.4784, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.8793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.7827, kappa: 0.5654, kb_relative_information_score: 1279.4325, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7828, predictive_accuracy: 0.7827, prior_entropy: 1, recall: 0.7827, relative_absolute_error: 0.5216, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8428, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1279.616, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7817, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8419, f_measure: 0.7846, kappa: 0.5692, kb_relative_information_score: 1317.9001, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7847, predictive_accuracy: 0.7846, prior_entropy: 1, recall: 0.7846, relative_absolute_error: 0.5046, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8289, f_measure: 0.7569, kappa: 0.5138, kb_relative_information_score: 1233.0083, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7572, predictive_accuracy: 0.7569, prior_entropy: 1, recall: 0.7569, relative_absolute_error: 0.5341, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1258.052, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7794, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.7788, kappa: 0.5577, kb_relative_information_score: 1259.0995, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.779, predictive_accuracy: 0.7788, prior_entropy: 1, recall: 0.7788, relative_absolute_error: 0.5299, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.753, kappa: 0.5062, kb_relative_information_score: 1214.8408, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7534, predictive_accuracy: 0.7531, prior_entropy: 1, recall: 0.7531, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1385.7659, mean_absolute_error: 0.2342, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.77, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.8987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.7661, kappa: 0.5323, kb_relative_information_score: 1354.7653, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7663, predictive_accuracy: 0.7662, prior_entropy: 1, recall: 0.7662, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.431, root_relative_squared_error: 0.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8291, f_measure: 0.7579, kappa: 0.5162, kb_relative_information_score: 1221.2203, mean_absolute_error: 0.2697, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7586, predictive_accuracy: 0.7581, prior_entropy: 1, recall: 0.7581, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7558, kappa: 0.5115, kb_relative_information_score: 1240.08, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7558, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.426, root_relative_squared_error: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7858, kappa: 0.5715, kb_relative_information_score: 1319.8991, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7859, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4089, root_relative_squared_error: 0.8179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.775, kappa: 0.55, kb_relative_information_score: 1241.3203, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7752, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7688, kappa: 0.5377, kb_relative_information_score: 1398, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7689, predictive_accuracy: 0.7688, prior_entropy: 1, recall: 0.7688, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.77, kappa: 0.54, kb_relative_information_score: 1404.1013, mean_absolute_error: 0.2303, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.77, predictive_accuracy: 0.77, prior_entropy: 1, recall: 0.77, relative_absolute_error: 0.4607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4556, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7903, f_measure: 0.7553, kappa: 0.5108, kb_relative_information_score: 1356.3573, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7556, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.7511, kappa: 0.5023, kb_relative_information_score: 1254.6297, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7512, predictive_accuracy: 0.7512, prior_entropy: 1, recall: 0.7512, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 1383.2397, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7654, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4674, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.7669, kappa: 0.5338, kb_relative_information_score: 1339.4668, mean_absolute_error: 0.2451, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.767, predictive_accuracy: 0.7669, prior_entropy: 1, recall: 0.7669, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1402.7195, mean_absolute_error: 0.2316, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7743, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7584, kappa: 0.5169, kb_relative_information_score: 1362.677, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4514, root_relative_squared_error: 0.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.7784, kappa: 0.5569, kb_relative_information_score: 1244.0589, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7787, predictive_accuracy: 0.7785, prior_entropy: 1, recall: 0.7785, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8075, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1372.4767, mean_absolute_error: 0.2373, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7673, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.8952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7888, kappa: 0.5777, kb_relative_information_score: 1351.4603, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7889, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, f_measure: 0.7773, kappa: 0.5546, kb_relative_information_score: 1252.454, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7774, predictive_accuracy: 0.7773, prior_entropy: 1, recall: 0.7773, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8253,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8173, f_measure: 0.7746, kappa: 0.5492, kb_relative_information_score: 1415.8745, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7746, predictive_accuracy: 0.7746, prior_entropy: 1, recall: 0.7746, relative_absolute_error: 0.4573, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.8796,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.7691, kappa: 0.5385, kb_relative_information_score: 1373.1446, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.7584, kappa: 0.5169, kb_relative_information_score: 1343.8106, mean_absolute_error: 0.2417, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.4834, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.7738, kappa: 0.5477, kb_relative_information_score: 1424, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7739, predictive_accuracy: 0.7738, prior_entropy: 1, recall: 0.7738, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4756, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7527, kappa: 0.5054, kb_relative_information_score: 1218.6892, mean_absolute_error: 0.2698, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7528, predictive_accuracy: 0.7527, prior_entropy: 1, recall: 0.7527, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.7638, kappa: 0.5277, kb_relative_information_score: 1357.2376, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7641, predictive_accuracy: 0.7638, prior_entropy: 1, recall: 0.7638, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7557, kappa: 0.5115, kb_relative_information_score: 1324.9676, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7559, predictive_accuracy: 0.7558, prior_entropy: 1, recall: 0.7558, relative_absolute_error: 0.491, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7626, kappa: 0.5254, kb_relative_information_score: 1287.671, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.763, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.5105, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7707, kappa: 0.5415, kb_relative_information_score: 1367.6584, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.771, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7723, kappa: 0.5446, kb_relative_information_score: 1420.0752, mean_absolute_error: 0.2268, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7724, predictive_accuracy: 0.7723, prior_entropy: 1, recall: 0.7723, relative_absolute_error: 0.4536, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1282.8092, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7622, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.763, kappa: 0.5262, kb_relative_information_score: 1287.2176, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7634, predictive_accuracy: 0.7631, prior_entropy: 1, recall: 0.7631, relative_absolute_error: 0.5109, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8433, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1303.1964, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5117, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.7796, kappa: 0.5592, kb_relative_information_score: 1309.9396, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7796, predictive_accuracy: 0.7796, prior_entropy: 1, recall: 0.7796, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8316, f_measure: 0.7596, kappa: 0.5192, kb_relative_information_score: 1257.5092, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7596, predictive_accuracy: 0.7596, prior_entropy: 1, recall: 0.7596, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4232, root_relative_squared_error: 0.8464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7815, kappa: 0.5631, kb_relative_information_score: 1314.4826, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7815, prior_entropy: 1, recall: 0.7815, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1400.3758, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4622, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7599, kappa: 0.52, kb_relative_information_score: 1270.1507, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7603, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.432, root_relative_squared_error: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7649, kappa: 0.53, kb_relative_information_score: 1371.5741, mean_absolute_error: 0.2369, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7652, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4738, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.8728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7757, kappa: 0.5515, kb_relative_information_score: 1248.4433, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7759, predictive_accuracy: 0.7758, prior_entropy: 1, recall: 0.7758, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.7696, kappa: 0.5392, kb_relative_information_score: 1383.2136, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7696, predictive_accuracy: 0.7696, prior_entropy: 1, recall: 0.7696, relative_absolute_error: 0.4705, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4331, root_relative_squared_error: 0.8661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7742, kappa: 0.5485, kb_relative_information_score: 1415.4442, mean_absolute_error: 0.2282, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7743, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.76, kappa: 0.52, kb_relative_information_score: 1305.0166, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.76, predictive_accuracy: 0.76, prior_entropy: 1, recall: 0.76, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4389, root_relative_squared_error: 0.8778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7734, kappa: 0.5469, kb_relative_information_score: 1375.8159, mean_absolute_error: 0.2376, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7739, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1367.43, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7674, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8438, f_measure: 0.7881, kappa: 0.5762, kb_relative_information_score: 1348.3997, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7881, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.4908, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4085, root_relative_squared_error: 0.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7811, kappa: 0.5623, kb_relative_information_score: 1279.9852, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7812, predictive_accuracy: 0.7812, prior_entropy: 1, recall: 0.7812, relative_absolute_error: 0.5206, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7792, kappa: 0.5585, kb_relative_information_score: 1388.0507, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7793, predictive_accuracy: 0.7792, prior_entropy: 1, recall: 0.7792, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.7685, kappa: 0.5369, kb_relative_information_score: 1382.218, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7685, predictive_accuracy: 0.7685, prior_entropy: 1, recall: 0.7685, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.439, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1324.3671, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.762, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4348, root_relative_squared_error: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8228, f_measure: 0.7553, kappa: 0.5108, kb_relative_information_score: 1286.3804, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7558, predictive_accuracy: 0.7554, prior_entropy: 1, recall: 0.7554, relative_absolute_error: 0.5097, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.7735, kappa: 0.5469, kb_relative_information_score: 1391.5894, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7735, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7691, kappa: 0.5385, kb_relative_information_score: 1367.7621, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7697, predictive_accuracy: 0.7692, prior_entropy: 1, recall: 0.7692, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8119, f_measure: 0.7704, kappa: 0.5408, kb_relative_information_score: 1383.4659, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7704, predictive_accuracy: 0.7704, prior_entropy: 1, recall: 0.7704, relative_absolute_error: 0.4709, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.7626, kappa: 0.5254, kb_relative_information_score: 1352.8426, mean_absolute_error: 0.2406, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7629, predictive_accuracy: 0.7627, prior_entropy: 1, recall: 0.7627, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1392.6525, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7769, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.4686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.7673, kappa: 0.5346, kb_relative_information_score: 1394.2647, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7673, predictive_accuracy: 0.7673, prior_entropy: 1, recall: 0.7673, relative_absolute_error: 0.4635, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.765, kappa: 0.53, kb_relative_information_score: 1357.1608, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7652, predictive_accuracy: 0.765, prior_entropy: 1, recall: 0.765, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7653, kappa: 0.5308, kb_relative_information_score: 1332.8532, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7657, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8315, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1257.2959, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.424, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7823, kappa: 0.5646, kb_relative_information_score: 1348.1704, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7823, predictive_accuracy: 0.7823, prior_entropy: 1, recall: 0.7823, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4131, root_relative_squared_error: 0.8261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.7622, kappa: 0.5246, kb_relative_information_score: 1286.6713, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7626, predictive_accuracy: 0.7623, prior_entropy: 1, recall: 0.7623, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.429, root_relative_squared_error: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8303, f_measure: 0.7585, kappa: 0.5169, kb_relative_information_score: 1259.1574, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7585, predictive_accuracy: 0.7585, prior_entropy: 1, recall: 0.7585, relative_absolute_error: 0.5223, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7588, f_measure: 0.7588, kappa: 0.5177, kb_relative_information_score: 1346, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7588, predictive_accuracy: 0.7588, prior_entropy: 1, recall: 0.7588, relative_absolute_error: 0.4823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7646, kappa: 0.5292, kb_relative_information_score: 1357.4293, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7647, predictive_accuracy: 0.7646, prior_entropy: 1, recall: 0.7646, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.7731, kappa: 0.5462, kb_relative_information_score: 1409.8996, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7732, predictive_accuracy: 0.7731, prior_entropy: 1, recall: 0.7731, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, f_measure: 0.7619, kappa: 0.5238, kb_relative_information_score: 1321.5382, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.762, predictive_accuracy: 0.7619, prior_entropy: 1, recall: 0.7619, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, f_measure: 0.7831, kappa: 0.5662, kb_relative_information_score: 1309.224, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7832, predictive_accuracy: 0.7831, prior_entropy: 1, recall: 0.7831, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7642, kappa: 0.5285, kb_relative_information_score: 1374, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7642, predictive_accuracy: 0.7642, prior_entropy: 1, recall: 0.7642, relative_absolute_error: 0.4715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9711,

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

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From your own software

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

OpenML APIs