Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24479 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24479 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.7731, kappa: 0.7494, kb_relative_information_score: 1533.8099, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7734, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8081, kappa: 0.7867, kb_relative_information_score: 1603.0493, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.8155, kappa: 0.795, kb_relative_information_score: 1611.8648, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8165, predictive_accuracy: 0.8155, prior_entropy: 3.3219, recall: 0.8155, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.814, kappa: 0.7933, kb_relative_information_score: 1629.9062, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.815, predictive_accuracy: 0.814, prior_entropy: 3.3219, recall: 0.814, relative_absolute_error: 0.2201, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.5839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9339, f_measure: 0.7926, kappa: 0.7706, kb_relative_information_score: 1571.2197, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7927, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2657, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.5964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9452, f_measure: 0.7839, kappa: 0.7606, kb_relative_information_score: 1548.0024, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7841, predictive_accuracy: 0.7845, prior_entropy: 3.3219, recall: 0.7845, relative_absolute_error: 0.2903, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1771, root_relative_squared_error: 0.5904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7811, kappa: 0.7572, kb_relative_information_score: 1538.2265, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7823, predictive_accuracy: 0.7815, prior_entropy: 3.3219, recall: 0.7815, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1778, root_relative_squared_error: 0.5925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.7697, kappa: 0.7456, kb_relative_information_score: 1521.8998, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7703, predictive_accuracy: 0.771, prior_entropy: 3.3219, recall: 0.771, relative_absolute_error: 0.3061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.6126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9447, f_measure: 0.7653, kappa: 0.7406, kb_relative_information_score: 1512.9206, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7668, predictive_accuracy: 0.7665, prior_entropy: 3.3219, recall: 0.7665, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8048, kappa: 0.7833, kb_relative_information_score: 1600.2141, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8061, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.2403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.7605, kappa: 0.7344, kb_relative_information_score: 1496.9119, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7619, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.3263, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.6213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.811, kappa: 0.79, kb_relative_information_score: 1607.8166, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8124, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.7987, kappa: 0.7772, kb_relative_information_score: 1586.9506, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8002, predictive_accuracy: 0.7995, prior_entropy: 3.3219, recall: 0.7995, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.7626, kappa: 0.7361, kb_relative_information_score: 1519.2847, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7653, predictive_accuracy: 0.7625, prior_entropy: 3.3219, recall: 0.7625, relative_absolute_error: 0.3121, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.7898, kappa: 0.7667, kb_relative_information_score: 1555.4618, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.7746, kappa: 0.7494, kb_relative_information_score: 1531.9674, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7767, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9457, f_measure: 0.792, kappa: 0.7689, kb_relative_information_score: 1558.2788, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7928, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9146, f_measure: 0.813, kappa: 0.7922, kb_relative_information_score: 1616.1349, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8145, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1806, root_relative_squared_error: 0.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8104, kappa: 0.7894, kb_relative_information_score: 1611.0891, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8115, predictive_accuracy: 0.8105, prior_entropy: 3.3219, recall: 0.8105, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.5811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9499, f_measure: 0.7626, kappa: 0.7367, kb_relative_information_score: 1515.5899, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7651, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.7992, kappa: 0.7778, kb_relative_information_score: 1584.3587, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8004, predictive_accuracy: 0.8, prior_entropy: 3.3219, recall: 0.8, relative_absolute_error: 0.2583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7658, kappa: 0.7411, kb_relative_information_score: 1512.1981, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7673, predictive_accuracy: 0.767, prior_entropy: 3.3219, recall: 0.767, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.6143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.791, kappa: 0.7694, kb_relative_information_score: 1559.9545, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7911, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.6029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.7747, kappa: 0.7494, kb_relative_information_score: 1531.6343, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7769, predictive_accuracy: 0.7745, prior_entropy: 3.3219, recall: 0.7745, relative_absolute_error: 0.3043, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7609, kappa: 0.735, kb_relative_information_score: 1497.5073, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7623, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.6202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.813, kappa: 0.7922, kb_relative_information_score: 1616.7645, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8143, predictive_accuracy: 0.813, prior_entropy: 3.3219, recall: 0.813, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7917, kappa: 0.77, kb_relative_information_score: 1572.154, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7916, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8088, kappa: 0.7878, kb_relative_information_score: 1612.0221, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8102, predictive_accuracy: 0.809, prior_entropy: 3.3219, recall: 0.809, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.5982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8032, kappa: 0.7817, kb_relative_information_score: 1599.867, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8041, predictive_accuracy: 0.8035, prior_entropy: 3.3219, recall: 0.8035, relative_absolute_error: 0.2378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.7968, kappa: 0.775, kb_relative_information_score: 1580.4648, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7982, predictive_accuracy: 0.7975, prior_entropy: 3.3219, recall: 0.7975, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8007, kappa: 0.7794, kb_relative_information_score: 1587.8339, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.802, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7693, kappa: 0.745, kb_relative_information_score: 1516.1741, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7701, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7721, kappa: 0.7483, kb_relative_information_score: 1532.278, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7724, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.8124, kappa: 0.7917, kb_relative_information_score: 1617.2267, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8133, predictive_accuracy: 0.8125, prior_entropy: 3.3219, recall: 0.8125, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1742, root_relative_squared_error: 0.5807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7692, kappa: 0.745, kb_relative_information_score: 1515.9223, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.77, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.3126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.7768, kappa: 0.7533, kb_relative_information_score: 1541.0307, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7775, predictive_accuracy: 0.778, prior_entropy: 3.3219, recall: 0.778, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.79, kappa: 0.7678, kb_relative_information_score: 1567.4289, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7901, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.7721, kappa: 0.7483, kb_relative_information_score: 1533.4939, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7724, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.6098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8043, kappa: 0.7828, kb_relative_information_score: 1596.486, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8055, predictive_accuracy: 0.8045, prior_entropy: 3.3219, recall: 0.8045, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.5882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8192, kappa: 0.7994, kb_relative_information_score: 1634.8586, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8198, predictive_accuracy: 0.8195, prior_entropy: 3.3219, recall: 0.8195, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.7663, kappa: 0.7417, kb_relative_information_score: 1511.354, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7678, predictive_accuracy: 0.7675, prior_entropy: 3.3219, recall: 0.7675, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8078, kappa: 0.7867, kb_relative_information_score: 1604.8089, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8093, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.79, kappa: 0.7672, kb_relative_information_score: 1587.1078, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.79, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.7953, kappa: 0.7728, kb_relative_information_score: 1592.2202, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7956, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1821, root_relative_squared_error: 0.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.761, kappa: 0.735, kb_relative_information_score: 1497.554, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7625, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3262, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.8064, kappa: 0.785, kb_relative_information_score: 1597.5929, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.808, predictive_accuracy: 0.8065, prior_entropy: 3.3219, recall: 0.8065, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1753, root_relative_squared_error: 0.5843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.79, kappa: 0.7678, kb_relative_information_score: 1570.139, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.79, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2649, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.7616, kappa: 0.7356, kb_relative_information_score: 1516.2105, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7643, predictive_accuracy: 0.762, prior_entropy: 3.3219, recall: 0.762, relative_absolute_error: 0.3144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.6017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.786, kappa: 0.7628, kb_relative_information_score: 1548.6384, mean_absolute_error: 0.0523, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7864, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9312, f_measure: 0.8094, kappa: 0.7883, kb_relative_information_score: 1608.0912, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8103, predictive_accuracy: 0.8095, prior_entropy: 3.3219, recall: 0.8095, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.7922, kappa: 0.7689, kb_relative_information_score: 1561.8414, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7937, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.5851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.921, f_measure: 0.7932, kappa: 0.7706, kb_relative_information_score: 1588.8191, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7933, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.6109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.7822, kappa: 0.7594, kb_relative_information_score: 1552.0724, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7827, predictive_accuracy: 0.7835, prior_entropy: 3.3219, recall: 0.7835, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.6044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.763, kappa: 0.7372, kb_relative_information_score: 1512.9688, mean_absolute_error: 0.0569, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7654, predictive_accuracy: 0.7635, prior_entropy: 3.3219, recall: 0.7635, relative_absolute_error: 0.3163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.6004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.7716, kappa: 0.7478, kb_relative_information_score: 1534.4191, mean_absolute_error: 0.0532, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7719, predictive_accuracy: 0.773, prior_entropy: 3.3219, recall: 0.773, relative_absolute_error: 0.2958, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.7961, kappa: 0.7739, kb_relative_information_score: 1591.047, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7962, predictive_accuracy: 0.7965, prior_entropy: 3.3219, recall: 0.7965, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.6031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9326, f_measure: 0.811, kappa: 0.79, kb_relative_information_score: 1606.4417, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8122, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9138, f_measure: 0.7879, kappa: 0.7644, kb_relative_information_score: 1584.0425, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7881, predictive_accuracy: 0.788, prior_entropy: 3.3219, recall: 0.788, relative_absolute_error: 0.2406, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.6182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.8109, kappa: 0.79, kb_relative_information_score: 1606.1154, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8123, predictive_accuracy: 0.811, prior_entropy: 3.3219, recall: 0.811, relative_absolute_error: 0.236, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.7951, kappa: 0.7728, kb_relative_information_score: 1589.6376, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2484, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.6028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.7604, kappa: 0.7344, kb_relative_information_score: 1496.9008, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.762, predictive_accuracy: 0.761, prior_entropy: 3.3219, recall: 0.761, relative_absolute_error: 0.3275, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.186, root_relative_squared_error: 0.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.7934, kappa: 0.77, kb_relative_information_score: 1563.7281, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, f_measure: 0.8149, kappa: 0.7944, kb_relative_information_score: 1624.55, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.816, predictive_accuracy: 0.815, prior_entropy: 3.3219, recall: 0.815, relative_absolute_error: 0.2274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1737, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.7927, kappa: 0.7694, kb_relative_information_score: 1561.1391, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7943, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8081, kappa: 0.7867, kb_relative_information_score: 1602.469, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8098, predictive_accuracy: 0.808, prior_entropy: 3.3219, recall: 0.808, relative_absolute_error: 0.2288, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.5977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8001, kappa: 0.7789, kb_relative_information_score: 1589.3668, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8012, predictive_accuracy: 0.801, prior_entropy: 3.3219, recall: 0.801, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.5821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.792, kappa: 0.7706, kb_relative_information_score: 1561.511, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7927, predictive_accuracy: 0.7935, prior_entropy: 3.3219, recall: 0.7935, relative_absolute_error: 0.2757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.7905, kappa: 0.7678, kb_relative_information_score: 1589.8069, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2439, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.182, root_relative_squared_error: 0.6068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.8134, kappa: 0.7928, kb_relative_information_score: 1626.6111, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.814, predictive_accuracy: 0.8135, prior_entropy: 3.3219, recall: 0.8135, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.5945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.8005, kappa: 0.7794, kb_relative_information_score: 1604.0718, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8003, predictive_accuracy: 0.8015, prior_entropy: 3.3219, recall: 0.8015, relative_absolute_error: 0.2209, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.6259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.7927, kappa: 0.7694, kb_relative_information_score: 1562.1184, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7945, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2807, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.5872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.7946, kappa: 0.7728, kb_relative_information_score: 1598.5647, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7945, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2244, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.6308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.7752, kappa: 0.75, kb_relative_information_score: 1531.8333, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7773, predictive_accuracy: 0.775, prior_entropy: 3.3219, recall: 0.775, relative_absolute_error: 0.3046, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.5949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.762, kappa: 0.7367, kb_relative_information_score: 1505.1483, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7631, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.7951, kappa: 0.7728, kb_relative_information_score: 1598.5823, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 3.3219, recall: 0.7955, relative_absolute_error: 0.2389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9437, f_measure: 0.7599, kappa: 0.7339, kb_relative_information_score: 1496.7549, mean_absolute_error: 0.0588, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7614, predictive_accuracy: 0.7605, prior_entropy: 3.3219, recall: 0.7605, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.6207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8186, kappa: 0.7989, kb_relative_information_score: 1625.1657, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8187, predictive_accuracy: 0.819, prior_entropy: 3.3219, recall: 0.819, relative_absolute_error: 0.2054, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.7899, kappa: 0.7667, kb_relative_information_score: 1556.1715, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7903, predictive_accuracy: 0.79, prior_entropy: 3.3219, recall: 0.79, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9492, f_measure: 0.7827, kappa: 0.7589, kb_relative_information_score: 1539.1579, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7841, predictive_accuracy: 0.783, prior_entropy: 3.3219, recall: 0.783, relative_absolute_error: 0.2983, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.5914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8054, kappa: 0.7839, kb_relative_information_score: 1595.6168, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8074, predictive_accuracy: 0.8055, prior_entropy: 3.3219, recall: 0.8055, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1738, root_relative_squared_error: 0.5793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.7721, kappa: 0.7483, kb_relative_information_score: 1536.0115, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7724, predictive_accuracy: 0.7735, prior_entropy: 3.3219, recall: 0.7735, relative_absolute_error: 0.2935, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.6079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.7906, kappa: 0.7678, kb_relative_information_score: 1584.372, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7907, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.7923, kappa: 0.7689, kb_relative_information_score: 1560.7625, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7938, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.282, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.7692, kappa: 0.745, kb_relative_information_score: 1519.998, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7698, predictive_accuracy: 0.7705, prior_entropy: 3.3219, recall: 0.7705, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9166, f_measure: 0.7866, kappa: 0.7639, kb_relative_information_score: 1586.7737, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7863, predictive_accuracy: 0.7875, prior_entropy: 3.3219, recall: 0.7875, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1842, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.7915, kappa: 0.77, kb_relative_information_score: 1558.4206, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7915, predictive_accuracy: 0.793, prior_entropy: 3.3219, recall: 0.793, relative_absolute_error: 0.2758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.7892, kappa: 0.7672, kb_relative_information_score: 1570.5271, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7893, predictive_accuracy: 0.7905, prior_entropy: 3.3219, recall: 0.7905, relative_absolute_error: 0.2656, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.6014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.7619, kappa: 0.7367, kb_relative_information_score: 1503.1717, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7631, predictive_accuracy: 0.763, prior_entropy: 3.3219, recall: 0.763, relative_absolute_error: 0.3222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.6173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.933, f_measure: 0.8007, kappa: 0.7789, kb_relative_information_score: 1595.5835, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8018, predictive_accuracy: 0.801, prior_entropy: 3.3219, recall: 0.801, relative_absolute_error: 0.249, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8223, kappa: 0.8028, kb_relative_information_score: 1640.2059, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.8229, predictive_accuracy: 0.8225, prior_entropy: 3.3219, recall: 0.8225, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.7907, kappa: 0.7683, kb_relative_information_score: 1567.6125, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7907, predictive_accuracy: 0.7915, prior_entropy: 3.3219, recall: 0.7915, relative_absolute_error: 0.2674, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.791, kappa: 0.7678, kb_relative_information_score: 1557.014, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7917, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.2851, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.7941, kappa: 0.7717, kb_relative_information_score: 1591.1289, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7941, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2434, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.183, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.7907, kappa: 0.7689, kb_relative_information_score: 1571.8603, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7906, predictive_accuracy: 0.792, prior_entropy: 3.3219, recall: 0.792, relative_absolute_error: 0.2638, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.7822, kappa: 0.7583, kb_relative_information_score: 1539.1302, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7835, predictive_accuracy: 0.7825, prior_entropy: 3.3219, recall: 0.7825, relative_absolute_error: 0.2989, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9431, f_measure: 0.7942, kappa: 0.7717, kb_relative_information_score: 1565.3255, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7952, predictive_accuracy: 0.7945, prior_entropy: 3.3219, recall: 0.7945, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.7849, kappa: 0.7617, kb_relative_information_score: 1545.7275, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7852, predictive_accuracy: 0.7855, prior_entropy: 3.3219, recall: 0.7855, relative_absolute_error: 0.2921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.761, kappa: 0.735, kb_relative_information_score: 1498.3347, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7625, predictive_accuracy: 0.7615, prior_entropy: 3.3219, recall: 0.7615, relative_absolute_error: 0.3247, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.6195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.7896, kappa: 0.7678, kb_relative_information_score: 1559.2375, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7897, predictive_accuracy: 0.791, prior_entropy: 3.3219, recall: 0.791, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7914, kappa: 0.7694, kb_relative_information_score: 1570.5574, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7913, predictive_accuracy: 0.7925, prior_entropy: 3.3219, recall: 0.7925, relative_absolute_error: 0.2658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5967,

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