Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 167125 Supervised Classification Internet-Advertisements 1432 runs submitted
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1432 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9681, kappa: 0.8635, kb_relative_information_score: 0.7416, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9692, prior_entropy: 0.5842, recall: 0.9692, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.165, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9683, kappa: 0.8651, kb_relative_information_score: 0.7511, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.5842, recall: 0.9692, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9751, kappa: 0.8948, kb_relative_information_score: 0.8117, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1705, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9682, kappa: 0.8662, kb_relative_information_score: 0.8187, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.5842, recall: 0.9686, relative_absolute_error: 0.1493, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1648, root_relative_squared_error: 0.4751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9727, kappa: 0.8848, kb_relative_information_score: 0.8553, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5842, recall: 0.9732, relative_absolute_error: 0.1171, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9673, kappa: 0.8606, kb_relative_information_score: 0.7545, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9678, predictive_accuracy: 0.9683, prior_entropy: 0.5842, recall: 0.9683, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9359, kb_relative_information_score: 0.3181, mean_absolute_error: 0.1868, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.7755, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2747, root_relative_squared_error: 0.7917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9762, kappa: 0.8998, kb_relative_information_score: 0.838, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5842, recall: 0.9765, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.977, kappa: 0.9024, kb_relative_information_score: 0.8366, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9772, predictive_accuracy: 0.9774, prior_entropy: 0.5842, recall: 0.9774, relative_absolute_error: 0.1572, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9762, kappa: 0.9002, kb_relative_information_score: 0.84, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5842, recall: 0.9765, relative_absolute_error: 0.1392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.141, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.975, kappa: 0.8946, kb_relative_information_score: 0.8548, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5842, recall: 0.9753, relative_absolute_error: 0.1214, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9767, kappa: 0.9019, kb_relative_information_score: 0.8267, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5842, recall: 0.9771, relative_absolute_error: 0.1577, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9746, kappa: 0.893, kb_relative_information_score: 0.8585, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5842, recall: 0.975, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9707, kappa: 0.8766, kb_relative_information_score: 0.8293, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9706, predictive_accuracy: 0.971, prior_entropy: 0.5842, recall: 0.971, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9719, kappa: 0.8803, kb_relative_information_score: 0.7917, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9722, predictive_accuracy: 0.9726, prior_entropy: 0.5842, recall: 0.9726, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1522, root_relative_squared_error: 0.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9754, kappa: 0.8959, kb_relative_information_score: 0.8052, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5842, recall: 0.9759, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.4242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9691, kappa: 0.8677, kb_relative_information_score: 0.7783, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9701, prior_entropy: 0.5842, recall: 0.9701, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9722, kappa: 0.8818, kb_relative_information_score: 0.7939, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.5842, recall: 0.9729, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9759, kappa: 0.8984, kb_relative_information_score: 0.8586, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9742, kappa: 0.891, kb_relative_information_score: 0.8329, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5842, recall: 0.9747, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.4244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9751, kappa: 0.8946, kb_relative_information_score: 0.8329, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9759, kappa: 0.8986, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.122, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9725, kappa: 0.8832, kb_relative_information_score: 0.7788, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9728, predictive_accuracy: 0.9732, prior_entropy: 0.5842, recall: 0.9732, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1516, root_relative_squared_error: 0.4368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9739, kappa: 0.8898, kb_relative_information_score: 0.8134, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.4205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.9564, kappa: 0.809, kb_relative_information_score: 0.6482, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9591, prior_entropy: 0.5842, recall: 0.9591, relative_absolute_error: 0.3859, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.9655, kappa: 0.8518, kb_relative_information_score: 0.7098, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9665, predictive_accuracy: 0.9668, prior_entropy: 0.5842, recall: 0.9668, relative_absolute_error: 0.3114, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.4962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9625, f_measure: 0.9681, kappa: 0.8632, kb_relative_information_score: 0.7602, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9692, prior_entropy: 0.5842, recall: 0.9692, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1582, root_relative_squared_error: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9569, kappa: 0.8118, kb_relative_information_score: 0.6216, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.96, predictive_accuracy: 0.9594, prior_entropy: 0.5842, recall: 0.9594, relative_absolute_error: 0.4131, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.5473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9696, kappa: 0.8704, kb_relative_information_score: 0.7803, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.97, predictive_accuracy: 0.9704, prior_entropy: 0.5842, recall: 0.9704, relative_absolute_error: 0.2234, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1562, root_relative_squared_error: 0.4501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9591, kappa: 0.8227, kb_relative_information_score: 0.6836, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9607, predictive_accuracy: 0.961, prior_entropy: 0.5842, recall: 0.961, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.6906, kappa: 0.0004, kb_relative_information_score: -0.8596, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7594, predictive_accuracy: 0.6441, prior_entropy: 0.5842, recall: 0.6441, relative_absolute_error: 1.4772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5966, root_relative_squared_error: 1.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9721, kappa: 0.8821, kb_relative_information_score: 0.8275, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5842, recall: 0.9726, relative_absolute_error: 0.1573, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9736, kappa: 0.8888, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5842, recall: 0.9741, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9759, kappa: 0.8984, kb_relative_information_score: 0.8447, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.4111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9753, kappa: 0.896, kb_relative_information_score: 0.8505, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.142, root_relative_squared_error: 0.4093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.8383, kappa: 0.3045, kb_relative_information_score: 0.1873, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8334, predictive_accuracy: 0.8445, prior_entropy: 0.5842, recall: 0.8445, relative_absolute_error: 0.6456, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.1366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9752, kappa: 0.8952, kb_relative_information_score: 0.8342, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9753, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9739, kappa: 0.8898, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.1142, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.571, f_measure: 0.8161, kappa: 0.1714, kb_relative_information_score: 0.1363, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8042, predictive_accuracy: 0.8347, prior_entropy: 0.5842, recall: 0.8347, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4066, root_relative_squared_error: 1.1718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9758, kappa: 0.8982, kb_relative_information_score: 0.8494, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1456, root_relative_squared_error: 0.4197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9759, kappa: 0.8984, kb_relative_information_score: 0.8503, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9708, kappa: 0.8769, kb_relative_information_score: 0.8253, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5842, recall: 0.9713, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9783, kappa: 0.9088, kb_relative_information_score: 0.8429, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9784, predictive_accuracy: 0.9787, prior_entropy: 0.5842, recall: 0.9787, relative_absolute_error: 0.141, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.7357, kappa: -0.0015, kb_relative_information_score: -0.4851, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7589, predictive_accuracy: 0.7158, prior_entropy: 0.5842, recall: 0.7158, relative_absolute_error: 1.1797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.5366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9738, kappa: 0.8885, kb_relative_information_score: 0.7894, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9741, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1493, root_relative_squared_error: 0.4304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9726, kappa: 0.8851, kb_relative_information_score: 0.8533, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9725, predictive_accuracy: 0.9729, prior_entropy: 0.5842, recall: 0.9729, relative_absolute_error: 0.1179, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.974, kappa: 0.8904, kb_relative_information_score: 0.8641, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.1108, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9536, kappa: 0.7959, kb_relative_information_score: 0.592, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9578, predictive_accuracy: 0.9567, prior_entropy: 0.5842, recall: 0.9567, relative_absolute_error: 0.4423, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.736, kappa: 0.0004, kb_relative_information_score: -0.4835, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.7161, prior_entropy: 0.5842, recall: 0.7161, relative_absolute_error: 1.1785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.976, kappa: 0.8985, kb_relative_information_score: 0.8335, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9763, predictive_accuracy: 0.9765, prior_entropy: 0.5842, recall: 0.9765, relative_absolute_error: 0.156, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.9048, kappa: 0.5594, kb_relative_information_score: 0.3794, mean_absolute_error: 0.1653, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.924, predictive_accuracy: 0.9189, prior_entropy: 0.5842, recall: 0.9189, relative_absolute_error: 0.6861, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9732, kappa: 0.8874, kb_relative_information_score: 0.8557, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5842, recall: 0.9735, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.155, root_relative_squared_error: 0.4469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9773, kappa: 0.9043, kb_relative_information_score: 0.8441, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9775, predictive_accuracy: 0.9777, prior_entropy: 0.5842, recall: 0.9777, relative_absolute_error: 0.1427, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9743, kappa: 0.892, kb_relative_information_score: 0.8588, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9747, prior_entropy: 0.5842, recall: 0.9747, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.4277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9532, f_measure: 0.9564, kappa: 0.8101, kb_relative_information_score: 0.6711, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9588, prior_entropy: 0.5842, recall: 0.9588, relative_absolute_error: 0.3752, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5183, f_measure: 0.7749, kappa: 0.0387, kb_relative_information_score: -0.1409, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7686, predictive_accuracy: 0.7816, prior_entropy: 0.5842, recall: 0.7816, relative_absolute_error: 0.9063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4673, root_relative_squared_error: 1.3468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9762, kappa: 0.8998, kb_relative_information_score: 0.8397, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5842, recall: 0.9765, relative_absolute_error: 0.1402, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9646, kappa: 0.8473, kb_relative_information_score: 0.7418, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9662, predictive_accuracy: 0.9661, prior_entropy: 0.5842, recall: 0.9661, relative_absolute_error: 0.2791, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9775, kappa: 0.9054, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9774, predictive_accuracy: 0.9777, prior_entropy: 0.5842, recall: 0.9777, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9758, kappa: 0.8982, kb_relative_information_score: 0.8651, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.9759, kappa: 0.8984, kb_relative_information_score: 0.8621, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1159, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.145, root_relative_squared_error: 0.4178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.974, kappa: 0.8908, kb_relative_information_score: 0.8612, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7723, kappa: -0.0022, kb_relative_information_score: -0.109, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7587, predictive_accuracy: 0.7877, prior_entropy: 0.5842, recall: 0.7877, relative_absolute_error: 0.881, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4607, root_relative_squared_error: 1.3278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9744, kappa: 0.8914, kb_relative_information_score: 0.8226, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.975, prior_entropy: 0.5842, recall: 0.975, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1443, root_relative_squared_error: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9771, kappa: 0.9036, kb_relative_information_score: 0.852, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9771, predictive_accuracy: 0.9774, prior_entropy: 0.5842, recall: 0.9774, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9756, kappa: 0.8972, kb_relative_information_score: 0.8425, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5842, recall: 0.9759, relative_absolute_error: 0.1438, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7728, kappa: 0.0002, kb_relative_information_score: -0.1074, mean_absolute_error: 0.212, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.788, prior_entropy: 0.5842, recall: 0.788, relative_absolute_error: 0.8797, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4604, root_relative_squared_error: 1.3269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.6906, kappa: 0.0004, kb_relative_information_score: -0.8596, mean_absolute_error: 0.3559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7594, predictive_accuracy: 0.6441, prior_entropy: 0.5842, recall: 0.6441, relative_absolute_error: 1.4772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5966, root_relative_squared_error: 1.7194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9734, kappa: 0.8878, kb_relative_information_score: 0.8628, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5842, recall: 0.9738, relative_absolute_error: 0.1104, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9659, kappa: 0.8536, kb_relative_information_score: 0.7271, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9671, prior_entropy: 0.5842, recall: 0.9671, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.166, root_relative_squared_error: 0.4785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9749, kappa: 0.894, kb_relative_information_score: 0.8369, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.9753, prior_entropy: 0.5842, recall: 0.9753, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9727, kappa: 0.885, kb_relative_information_score: 0.8598, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5842, recall: 0.9732, relative_absolute_error: 0.1127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.9618, kappa: 0.8385, kb_relative_information_score: 0.7843, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9616, predictive_accuracy: 0.9625, prior_entropy: 0.5842, recall: 0.9625, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9696, kappa: 0.8714, kb_relative_information_score: 0.8224, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9701, prior_entropy: 0.5842, recall: 0.9701, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.4677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.736, kappa: 0.0004, kb_relative_information_score: -0.4835, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7593, predictive_accuracy: 0.7161, prior_entropy: 0.5842, recall: 0.7161, relative_absolute_error: 1.1785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.5357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9465, kappa: 0.7628, kb_relative_information_score: 0.5471, mean_absolute_error: 0.1187, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9519, predictive_accuracy: 0.9506, prior_entropy: 0.5842, recall: 0.9506, relative_absolute_error: 0.4926, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9756, kappa: 0.897, kb_relative_information_score: 0.8595, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5842, recall: 0.9759, relative_absolute_error: 0.1166, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9768, kappa: 0.9021, kb_relative_information_score: 0.8505, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5842, recall: 0.9771, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9747, kappa: 0.8936, kb_relative_information_score: 0.8635, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5842, recall: 0.975, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9762, kappa: 0.8996, kb_relative_information_score: 0.8519, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5842, recall: 0.9765, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9736, kappa: 0.8884, kb_relative_information_score: 0.801, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9737, predictive_accuracy: 0.9741, prior_entropy: 0.5842, recall: 0.9741, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.4307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5957, f_measure: 0.7905, kappa: 0.2017, kb_relative_information_score: -0.1748, mean_absolute_error: 0.225, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8098, predictive_accuracy: 0.7755, prior_entropy: 0.5842, recall: 0.7755, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9699, kappa: 0.8714, kb_relative_information_score: 0.7505, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.5842, recall: 0.9707, relative_absolute_error: 0.2505, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.977, kappa: 0.9025, kb_relative_information_score: 0.8305, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9772, predictive_accuracy: 0.9774, prior_entropy: 0.5842, recall: 0.9774, relative_absolute_error: 0.1601, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1421, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9748, kappa: 0.8936, kb_relative_information_score: 0.8353, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.975, predictive_accuracy: 0.9753, prior_entropy: 0.5842, recall: 0.9753, relative_absolute_error: 0.1525, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2686, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, predictive_accuracy: 0.86, prior_entropy: 0.5842, recall: 0.86, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3741, root_relative_squared_error: 1.0783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9746, kappa: 0.8932, kb_relative_information_score: 0.8638, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5842, recall: 0.975, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9703, kappa: 0.874, kb_relative_information_score: 0.7668, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9706, predictive_accuracy: 0.971, prior_entropy: 0.5842, recall: 0.971, relative_absolute_error: 0.2343, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9755, kappa: 0.8968, kb_relative_information_score: 0.8337, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5842, recall: 0.9759, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9738, kappa: 0.8889, kb_relative_information_score: 0.8102, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9741, predictive_accuracy: 0.9744, prior_entropy: 0.5842, recall: 0.9744, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9702, kappa: 0.8728, kb_relative_information_score: 0.7862, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9707, predictive_accuracy: 0.971, prior_entropy: 0.5842, recall: 0.971, relative_absolute_error: 0.218, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9758, kappa: 0.8975, kb_relative_information_score: 0.8267, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5842, recall: 0.9762, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9768, kappa: 0.9022, kb_relative_information_score: 0.8308, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9768, predictive_accuracy: 0.9771, prior_entropy: 0.5842, recall: 0.9771, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.9457, kappa: 0.7594, kb_relative_information_score: 0.5913, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9514, predictive_accuracy: 0.95, prior_entropy: 0.5842, recall: 0.95, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2008, root_relative_squared_error: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9753, kappa: 0.8958, kb_relative_information_score: 0.855, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9756, prior_entropy: 0.5842, recall: 0.9756, relative_absolute_error: 0.119, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4228,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs