Task
Supervised Classification on fbis.wc

Supervised Classification on fbis.wc

Task 3524 Supervised Classification fbis.wc 289 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

289 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7979, kappa: 0.7781, kb_relative_information_score: 1836.3458, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8086, predictive_accuracy: 0.8051, prior_entropy: 3.5848, recall: 0.8051, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1326, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.7723, kappa: 0.7582, kb_relative_information_score: 1686.3061, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7863, predictive_accuracy: 0.7881, prior_entropy: 3.5848, recall: 0.7881, relative_absolute_error: 0.4873, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.6456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7513, kappa: 0.722, kb_relative_information_score: 1757.6862, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7508, predictive_accuracy: 0.7527, prior_entropy: 3.5848, recall: 0.7527, relative_absolute_error: 0.2777, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.7454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.7918, kappa: 0.7713, kb_relative_information_score: 457.5413, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7958, predictive_accuracy: 0.7982, prior_entropy: 3.5848, recall: 0.7982, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.7918, kappa: 0.7713, kb_relative_information_score: 457.5413, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7958, predictive_accuracy: 0.7982, prior_entropy: 3.5848, recall: 0.7982, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.7918, kappa: 0.7713, kb_relative_information_score: 457.5413, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7958, predictive_accuracy: 0.7982, prior_entropy: 3.5848, recall: 0.7982, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.7387, kappa: 0.7095, kb_relative_information_score: 1694.7454, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7393, predictive_accuracy: 0.7434, prior_entropy: 3.5848, recall: 0.7434, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.1988, kappa: 0.2033, kb_relative_information_score: 489.4777, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1416, predictive_accuracy: 0.3557, prior_entropy: 3.5848, recall: 0.3557, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.118, kappa: 0.075, kb_relative_information_score: 174.3012, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7364, predictive_accuracy: 0.1015, prior_entropy: 3.5848, recall: 0.1015, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.4209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7567, kappa: 0.7361, kb_relative_information_score: 1758.8531, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.757, predictive_accuracy: 0.7674, prior_entropy: 3.5848, recall: 0.7674, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8212, kappa: 0.8048, kb_relative_information_score: 1929.8929, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8232, predictive_accuracy: 0.8279, prior_entropy: 3.5848, recall: 0.8279, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.125, root_relative_squared_error: 0.5463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.777, kappa: 0.7658, kb_relative_information_score: 1876.2512, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7839, predictive_accuracy: 0.7937, prior_entropy: 3.5848, recall: 0.7937, relative_absolute_error: 0.2517, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.1767, kappa: 0.0992, kb_relative_information_score: 199.8819, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1611, predictive_accuracy: 0.2534, prior_entropy: 3.5848, recall: 0.2534, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.1342, kappa: 0.0425, kb_relative_information_score: 124.409, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1697, predictive_accuracy: 0.2014, prior_entropy: 3.5848, recall: 0.2014, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.228, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.7333, kappa: 0.7138, kb_relative_information_score: 1721.5819, mean_absolute_error: 0.0402, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.734, predictive_accuracy: 0.7471, prior_entropy: 3.5848, recall: 0.7471, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1489, root_relative_squared_error: 0.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8347, kappa: 0.8173, kb_relative_information_score: 2026.5319, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.834, predictive_accuracy: 0.838, prior_entropy: 3.5848, recall: 0.838, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.1987, kappa: 0.2039, kb_relative_information_score: 497.1819, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1413, predictive_accuracy: 0.3561, prior_entropy: 3.5848, recall: 0.3561, relative_absolute_error: 0.885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.215, root_relative_squared_error: 0.9397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.1987, kappa: 0.2039, kb_relative_information_score: 497.518, mean_absolute_error: 0.093, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1413, predictive_accuracy: 0.3561, prior_entropy: 3.5848, recall: 0.3561, relative_absolute_error: 0.8875, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.7198, kappa: 0.6893, kb_relative_information_score: 1678.78, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7216, predictive_accuracy: 0.7247, prior_entropy: 3.5848, recall: 0.7247, relative_absolute_error: 0.3092, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.18, root_relative_squared_error: 0.7865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8087, kappa: 0.7925, kb_relative_information_score: 1934.4637, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8095, predictive_accuracy: 0.8169, prior_entropy: 3.5848, recall: 0.8169, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.7677, kappa: 0.7501, kb_relative_information_score: 1851.1959, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7688, predictive_accuracy: 0.7795, prior_entropy: 3.5848, recall: 0.7795, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.7746, kappa: 0.7592, kb_relative_information_score: 1820.109, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7757, predictive_accuracy: 0.7877, prior_entropy: 3.5848, recall: 0.7877, relative_absolute_error: 0.3895, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.8019, kappa: 0.7836, kb_relative_information_score: 1826.9532, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8032, predictive_accuracy: 0.8088, prior_entropy: 3.5848, recall: 0.8088, relative_absolute_error: 0.3548, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1305, root_relative_squared_error: 0.5704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8029, kappa: 0.7836, kb_relative_information_score: 1956.4344, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8015, predictive_accuracy: 0.8084, prior_entropy: 3.5848, recall: 0.8084, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.6103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.7551, kappa: 0.7375, kb_relative_information_score: 1732.8913, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7639, predictive_accuracy: 0.7694, prior_entropy: 3.5848, recall: 0.7694, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.6695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8449, kappa: 0.8297, kb_relative_information_score: 2062.982, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8446, predictive_accuracy: 0.849, prior_entropy: 3.5848, recall: 0.849, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.4989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.821, kappa: 0.799, kb_relative_information_score: 1993.2911, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8216, predictive_accuracy: 0.8214, prior_entropy: 3.5848, recall: 0.8214, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1304, root_relative_squared_error: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.8294, kappa: 0.8103, kb_relative_information_score: 2029.4872, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8308, predictive_accuracy: 0.8315, prior_entropy: 3.5848, recall: 0.8315, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.126, root_relative_squared_error: 0.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.7355, kappa: 0.707, kb_relative_information_score: 1737.6636, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7333, predictive_accuracy: 0.7402, prior_entropy: 3.5848, recall: 0.7402, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.7111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8371, kappa: 0.8279, kb_relative_information_score: 1876.0216, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.851, predictive_accuracy: 0.8486, prior_entropy: 3.5848, recall: 0.8486, relative_absolute_error: 0.4016, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8345, kappa: 0.8259, kb_relative_information_score: 1852.751, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8471, predictive_accuracy: 0.8469, prior_entropy: 3.5848, recall: 0.8469, relative_absolute_error: 0.4167, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1283, root_relative_squared_error: 0.5605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8282, kappa: 0.8196, kb_relative_information_score: 1809.4876, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8445, predictive_accuracy: 0.8417, prior_entropy: 3.5848, recall: 0.8417, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1318, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8281, kappa: 0.8203, kb_relative_information_score: 1783.0444, mean_absolute_error: 0.0486, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8486, predictive_accuracy: 0.8425, prior_entropy: 3.5848, recall: 0.8425, relative_absolute_error: 0.4638, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8047, kappa: 0.7957, kb_relative_information_score: 1724.3766, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8305, predictive_accuracy: 0.8214, prior_entropy: 3.5848, recall: 0.8214, relative_absolute_error: 0.4976, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.7302, kappa: 0.7135, kb_relative_information_score: 1407.6032, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7838, predictive_accuracy: 0.7519, prior_entropy: 3.5848, recall: 0.7519, relative_absolute_error: 0.6464, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.7229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.8008, kappa: 0.7912, kb_relative_information_score: 1682.0923, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8333, predictive_accuracy: 0.8177, prior_entropy: 3.5848, recall: 0.8177, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.6243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.8347, kappa: 0.8173, kb_relative_information_score: 2026.5319, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.834, predictive_accuracy: 0.838, prior_entropy: 3.5848, recall: 0.838, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8223, kappa: 0.8008, kb_relative_information_score: 1998.1305, mean_absolute_error: 0.0243, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 3.5848, recall: 0.823, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1286, root_relative_squared_error: 0.5622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.7883, kappa: 0.7783, kb_relative_information_score: 1614.5474, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8242, predictive_accuracy: 0.8067, prior_entropy: 3.5848, recall: 0.8067, relative_absolute_error: 0.5575, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1484, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.7772, kappa: 0.7701, kb_relative_information_score: 1725.9234, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7986, predictive_accuracy: 0.7986, prior_entropy: 3.5848, recall: 0.7986, relative_absolute_error: 0.4846, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.6146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.6785, kappa: 0.6569, kb_relative_information_score: 1429.9564, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6997, predictive_accuracy: 0.7012, prior_entropy: 3.5848, recall: 0.7012, relative_absolute_error: 0.6082, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.7331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.7775, kappa: 0.7651, kb_relative_information_score: 1566.611, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8215, predictive_accuracy: 0.7958, prior_entropy: 3.5848, recall: 0.7958, relative_absolute_error: 0.5805, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.152, root_relative_squared_error: 0.6643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.07, kb_relative_information_score: 1.126, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.0422, predictive_accuracy: 0.2054, prior_entropy: 3.5848, recall: 0.2054, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2288, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.7915, kappa: 0.7704, kb_relative_information_score: 1842.6606, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7911, predictive_accuracy: 0.797, prior_entropy: 3.5848, recall: 0.797, relative_absolute_error: 0.3855, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.5937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.7631, kappa: 0.7506, kb_relative_information_score: 1499.0964, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.815, predictive_accuracy: 0.7836, prior_entropy: 3.5848, recall: 0.7836, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.157, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.7514, kappa: 0.7384, kb_relative_information_score: 1452.2222, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8128, predictive_accuracy: 0.7734, prior_entropy: 3.5848, recall: 0.7734, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.7025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.7362, kappa: 0.7209, kb_relative_information_score: 1392.3466, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7975, predictive_accuracy: 0.7588, prior_entropy: 3.5848, recall: 0.7588, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.7206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.7137, kappa: 0.697, kb_relative_information_score: 1336.37, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7888, predictive_accuracy: 0.7389, prior_entropy: 3.5848, recall: 0.7389, relative_absolute_error: 0.6835, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.7378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.4744, kappa: 0.411, kb_relative_information_score: 1012.0592, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.4736, predictive_accuracy: 0.4762, prior_entropy: 3.5848, recall: 0.4762, relative_absolute_error: 0.5884, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2464, root_relative_squared_error: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.7063, kappa: 0.6869, kb_relative_information_score: 1283.5743, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7863, predictive_accuracy: 0.7308, prior_entropy: 3.5848, recall: 0.7308, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.7537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8638, f_measure: 0.4879, kappa: 0.4731, kb_relative_information_score: 1051.3706, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.4736, predictive_accuracy: 0.5335, prior_entropy: 3.5848, recall: 0.5335, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.8198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.4934, kappa: 0.4699, kb_relative_information_score: 1071.9364, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.477, predictive_accuracy: 0.5311, prior_entropy: 3.5848, recall: 0.5311, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.187, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8969, f_measure: 0.5501, kappa: 0.5361, kb_relative_information_score: 1218.883, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5294, predictive_accuracy: 0.5916, prior_entropy: 3.5848, recall: 0.5916, relative_absolute_error: 0.6179, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9174, f_measure: 0.5966, kappa: 0.5857, kb_relative_information_score: 1364.7182, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5703, predictive_accuracy: 0.6358, prior_entropy: 3.5848, recall: 0.6358, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.7532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7196, kappa: 0.7095, kb_relative_information_score: 1665.2639, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7597, predictive_accuracy: 0.7487, prior_entropy: 3.5848, recall: 0.7487, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.172, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.6291, kappa: 0.6067, kb_relative_information_score: 1461.9127, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6187, predictive_accuracy: 0.6521, prior_entropy: 3.5848, recall: 0.6521, relative_absolute_error: 0.5262, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.168, root_relative_squared_error: 0.7342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6115, f_measure: 0.2113, kappa: 0.2055, kb_relative_information_score: 570.8149, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1688, predictive_accuracy: 0.354, prior_entropy: 3.5848, recall: 0.354, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.273, root_relative_squared_error: 1.1932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.6724, kappa: 0.6488, kb_relative_information_score: 1553.5206, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6673, predictive_accuracy: 0.6882, prior_entropy: 3.5848, recall: 0.6882, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.162, root_relative_squared_error: 0.708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.6946, kappa: 0.6731, kb_relative_information_score: 1616.1511, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.687, predictive_accuracy: 0.7105, prior_entropy: 3.5848, recall: 0.7105, relative_absolute_error: 0.4533, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.7226, kappa: 0.7041, kb_relative_information_score: 1673.5451, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7288, predictive_accuracy: 0.7389, prior_entropy: 3.5848, recall: 0.7389, relative_absolute_error: 0.4193, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.7304, kappa: 0.7059, kb_relative_information_score: 1696.3924, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.731, predictive_accuracy: 0.7402, prior_entropy: 3.5848, recall: 0.7402, relative_absolute_error: 0.3984, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.7426, kappa: 0.7195, kb_relative_information_score: 1724.9583, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.742, predictive_accuracy: 0.7523, prior_entropy: 3.5848, recall: 0.7523, relative_absolute_error: 0.3819, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.6606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.5582, kappa: 0.5521, kb_relative_information_score: 348.3414, mean_absolute_error: 0.1052, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6388, predictive_accuracy: 0.6192, prior_entropy: 3.5848, recall: 0.6192, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9222, f_measure: 0.7342, kappa: 0.7043, kb_relative_information_score: 1711.8319, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7353, predictive_accuracy: 0.7381, prior_entropy: 3.5848, recall: 0.7381, relative_absolute_error: 0.3702, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8452, f_measure: 0.5583, kappa: 0.4974, kb_relative_information_score: 1331.265, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.589, predictive_accuracy: 0.5469, prior_entropy: 3.5848, recall: 0.5469, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.8494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.4672, kappa: 0.3998, kb_relative_information_score: 976.5233, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.4699, predictive_accuracy: 0.4653, prior_entropy: 3.5848, recall: 0.4653, relative_absolute_error: 0.6006, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2508, root_relative_squared_error: 1.0962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6006, f_measure: 0.2161, kappa: 0.2057, kb_relative_information_score: 562.2291, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1791, predictive_accuracy: 0.3536, prior_entropy: 3.5848, recall: 0.3536, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2758, root_relative_squared_error: 1.2052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.6401, kappa: 0.5994, kb_relative_information_score: 929.118, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6583, predictive_accuracy: 0.6415, prior_entropy: 3.5848, recall: 0.6415, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.7476, kappa: 0.7202, kb_relative_information_score: 1756.8106, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7459, predictive_accuracy: 0.7519, prior_entropy: 3.5848, recall: 0.7519, relative_absolute_error: 0.3503, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.6647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9102, f_measure: 0.735, kappa: 0.7074, kb_relative_information_score: 1729.2819, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.734, predictive_accuracy: 0.741, prior_entropy: 3.5848, recall: 0.741, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.6845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7416, f_measure: 0.5391, kappa: 0.4729, kb_relative_information_score: 1195.8151, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5792, predictive_accuracy: 0.5229, prior_entropy: 3.5848, recall: 0.5229, relative_absolute_error: 0.5398, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.236, root_relative_squared_error: 1.0315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.7564, kappa: 0.7333, kb_relative_information_score: 1772.9123, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7562, predictive_accuracy: 0.7637, prior_entropy: 3.5848, recall: 0.7637, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.6748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.6811, kappa: 0.6608, kb_relative_information_score: 1206.6362, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7789, predictive_accuracy: 0.7097, prior_entropy: 3.5848, recall: 0.7097, relative_absolute_error: 0.7321, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.7346, kappa: 0.7212, kb_relative_information_score: 1389.5969, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.808, predictive_accuracy: 0.7592, prior_entropy: 3.5848, recall: 0.7592, relative_absolute_error: 0.6682, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.7218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7888, f_measure: 0.4288, kappa: 0.3452, kb_relative_information_score: 977.1488, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.615, predictive_accuracy: 0.3955, prior_entropy: 3.5848, recall: 0.3955, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.6287, kappa: 0.5709, kb_relative_information_score: 1493.1375, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7097, predictive_accuracy: 0.6094, prior_entropy: 3.5848, recall: 0.6094, relative_absolute_error: 0.4416, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.8876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.7187, kappa: 0.7073, kb_relative_information_score: 424.8859, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7738, predictive_accuracy: 0.7462, prior_entropy: 3.5848, recall: 0.7462, relative_absolute_error: 0.998, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.6503, kappa: 0.6156, kb_relative_information_score: 1626.9499, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6668, predictive_accuracy: 0.6569, prior_entropy: 3.5848, recall: 0.6569, relative_absolute_error: 0.4341, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.173, root_relative_squared_error: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.665, kappa: 0.642, kb_relative_information_score: 1388.8575, mean_absolute_error: 0.0661, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7069, predictive_accuracy: 0.6898, prior_entropy: 3.5848, recall: 0.6898, relative_absolute_error: 0.6306, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1711, root_relative_squared_error: 0.7476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7214, kappa: 0.7029, kb_relative_information_score: 1673.6117, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7279, predictive_accuracy: 0.7381, prior_entropy: 3.5848, recall: 0.7381, relative_absolute_error: 0.3994, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.6768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.7553, kappa: 0.7254, kb_relative_information_score: 1809.6932, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7814, predictive_accuracy: 0.76, prior_entropy: 3.5848, recall: 0.76, relative_absolute_error: 0.2732, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.5745, kappa: 0.5088, kb_relative_information_score: 1460.2936, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6738, predictive_accuracy: 0.5501, prior_entropy: 3.5848, recall: 0.5501, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2005, root_relative_squared_error: 0.8761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.1987, kappa: 0.2039, kb_relative_information_score: 487.6285, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1413, predictive_accuracy: 0.3561, prior_entropy: 3.5848, recall: 0.3561, relative_absolute_error: 0.8853, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.5232, kappa: 0.502, kb_relative_information_score: 144.5423, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6733, predictive_accuracy: 0.5822, prior_entropy: 3.5848, recall: 0.5822, relative_absolute_error: 1.0559, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.235, root_relative_squared_error: 1.0272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.6174, kappa: 0.6165, kb_relative_information_score: 1505.9081, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6211, predictive_accuracy: 0.6614, prior_entropy: 3.5848, recall: 0.6614, relative_absolute_error: 0.523, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.6351, kappa: 0.607, kb_relative_information_score: 1084.9324, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6766, predictive_accuracy: 0.6573, prior_entropy: 3.5848, recall: 0.6573, relative_absolute_error: 0.7265, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.8014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.7554, kappa: 0.736, kb_relative_information_score: 1722.7133, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7544, predictive_accuracy: 0.7674, prior_entropy: 3.5848, recall: 0.7674, relative_absolute_error: 0.369, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.6537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.2013, kappa: 0.2035, kb_relative_information_score: 495.4225, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1452, predictive_accuracy: 0.3565, prior_entropy: 3.5848, recall: 0.3565, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8273, kappa: 0.8135, kb_relative_information_score: 2016.9365, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.8297, predictive_accuracy: 0.8356, prior_entropy: 3.5848, recall: 0.8356, relative_absolute_error: 0.2303, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.5567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.0154, kappa: 0.0062, kb_relative_information_score: 20.8555, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.5292, predictive_accuracy: 0.0438, prior_entropy: 3.5848, recall: 0.0438, relative_absolute_error: 1.0739, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3354, root_relative_squared_error: 1.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8056, f_measure: 0.5709, kappa: 0.5403, kb_relative_information_score: 144.1809, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7087, predictive_accuracy: 0.6102, prior_entropy: 3.5848, recall: 0.6102, relative_absolute_error: 1.0561, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2351, root_relative_squared_error: 1.0274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7196, kappa: 0.7095, kb_relative_information_score: 1665.2639, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7597, predictive_accuracy: 0.7487, prior_entropy: 3.5848, recall: 0.7487, relative_absolute_error: 0.2823, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.172, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.3536, kappa: 0.3534, kb_relative_information_score: 246.1107, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.478, predictive_accuracy: 0.4629, prior_entropy: 3.5848, recall: 0.4629, relative_absolute_error: 1.0128, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.656, kappa: 0.6144, kb_relative_information_score: 1538.4703, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6768, predictive_accuracy: 0.6561, prior_entropy: 3.5848, recall: 0.6561, relative_absolute_error: 0.4272, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.7841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.7445, kappa: 0.7147, kb_relative_information_score: 1750.2263, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.744, predictive_accuracy: 0.7462, prior_entropy: 3.5848, recall: 0.7462, relative_absolute_error: 0.2999, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.7307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.7082, kappa: 0.6685, kb_relative_information_score: 1702.7182, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7297, predictive_accuracy: 0.702, prior_entropy: 3.5848, recall: 0.702, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.7894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.07, kb_relative_information_score: 1.126, mean_absolute_error: 0.1048, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.0422, predictive_accuracy: 0.2054, prior_entropy: 3.5848, recall: 0.2054, relative_absolute_error: 1, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2288, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8012, f_measure: 0.6153, kappa: 0.5744, kb_relative_information_score: 1426.3337, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.6384, predictive_accuracy: 0.6179, prior_entropy: 3.5848, recall: 0.6179, relative_absolute_error: 0.4287, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.1988, kappa: 0.2033, kb_relative_information_score: 489.4777, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.1416, predictive_accuracy: 0.3557, prior_entropy: 3.5848, recall: 0.3557, relative_absolute_error: 0.8885, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.4611, kappa: 0.393, kb_relative_information_score: 959.7358, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.4649, predictive_accuracy: 0.4584, prior_entropy: 3.5848, recall: 0.4584, relative_absolute_error: 0.6083, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.1032,

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

OpenML bootcamp

From your own software

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

OpenML APIs