Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 146085 Supervised Classification Internet-Advertisements 12645 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9747, kappa: 0.8938, kb_relative_information_score: 2701.8481, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9746, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.1478, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.143, root_relative_squared_error: 0.412, scimark_benchmark: 1839.7313, usercpu_time_millis: 2394.401, usercpu_time_millis_testing: 2.442, usercpu_time_millis_training: 2391.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9572, kappa: 0.8205, kb_relative_information_score: 2247.5879, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9569, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3031, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.512, scimark_benchmark: 1843.8403, usercpu_time_millis: 346.764, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 345.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9674, kappa: 0.8593, kb_relative_information_score: 2292.2473, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4714, scimark_benchmark: 1835.6067, usercpu_time_millis: 172.913, usercpu_time_millis_testing: 4.79, usercpu_time_millis_training: 168.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9668, kappa: 0.8568, kb_relative_information_score: 2239.0528, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9686, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.3345, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1664, root_relative_squared_error: 0.4797, scimark_benchmark: 1841.8649, usercpu_time_millis: 168.481, usercpu_time_millis_testing: 4.035, usercpu_time_millis_training: 164.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9659, kappa: 0.8536, kb_relative_information_score: 2331.2302, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9667, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.4891, scimark_benchmark: 1853.0433, usercpu_time_millis: 115.909, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 114.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9684, kappa: 0.8642, kb_relative_information_score: 2451.8114, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.2504, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.4624, scimark_benchmark: 1843.3864, usercpu_time_millis: 110.648, usercpu_time_millis_testing: 2.147, usercpu_time_millis_training: 108.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9668, kappa: 0.8562, kb_relative_information_score: 2271.3939, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9688, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4794, scimark_benchmark: 1835.6067, usercpu_time_millis: 52.693, usercpu_time_millis_testing: 2.103, usercpu_time_millis_training: 50.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9595, kappa: 0.8228, kb_relative_information_score: 2157.86, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.5119, scimark_benchmark: 1839.1443, usercpu_time_millis: 28.265, usercpu_time_millis_testing: 1.485, usercpu_time_millis_training: 26.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -4.1564, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1941.1102, usercpu_time_millis: 4.736, usercpu_time_millis_testing: 0.737, usercpu_time_millis_training: 3.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -2.9725, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1948.4436, usercpu_time_millis: 3.532, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 2.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -7.627, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1833.0107, usercpu_time_millis: 3.476, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 2.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -2.6169, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1940.0243, usercpu_time_millis: 5.358, usercpu_time_millis_testing: 0.913, usercpu_time_millis_training: 4.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -1.5587, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1833.0198, usercpu_time_millis: 8.712, usercpu_time_millis_testing: 1.261, usercpu_time_millis_training: 7.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9759, kappa: 0.8988, kb_relative_information_score: 2674.3772, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4207, scimark_benchmark: 1764.8755, usercpu_time_millis: 9438.917, usercpu_time_millis_testing: 3.48, usercpu_time_millis_training: 9435.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9711, kappa: 0.8776, kb_relative_information_score: 2581.1222, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1536, root_relative_squared_error: 0.4426, scimark_benchmark: 1855.4813, usercpu_time_millis: 1709.724, usercpu_time_millis_testing: 1.426, usercpu_time_millis_training: 1708.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2522.0041, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4375, scimark_benchmark: 1848.388, usercpu_time_millis: 1460.954, usercpu_time_millis_testing: 1.874, usercpu_time_millis_training: 1459.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2608.1598, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9708, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.4287, scimark_benchmark: 1856.2681, usercpu_time_millis: 2299.41, usercpu_time_millis_testing: 1.91, usercpu_time_millis_training: 2297.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9717, kappa: 0.8805, kb_relative_information_score: 2522.5298, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.205, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4409, scimark_benchmark: 1852.4008, usercpu_time_millis: 2198.062, usercpu_time_millis_testing: 2.265, usercpu_time_millis_training: 2195.797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9591, kappa: 0.831, kb_relative_information_score: 2281.7016, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2799, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5115, scimark_benchmark: 1885.0511, usercpu_time_millis: 1216.066, usercpu_time_millis_testing: 1.44, usercpu_time_millis_training: 1214.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2591.5642, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4269, scimark_benchmark: 1854.2308, usercpu_time_millis: 1715.999, usercpu_time_millis_testing: 2.741, usercpu_time_millis_training: 1713.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9715, kappa: 0.8797, kb_relative_information_score: 2612.5983, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.451, scimark_benchmark: 1848.7762, usercpu_time_millis: 7385.306, usercpu_time_millis_testing: 3.005, usercpu_time_millis_training: 7382.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9636, kappa: 0.8449, kb_relative_information_score: 2415.971, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9639, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2444, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4736, scimark_benchmark: 1849.5083, usercpu_time_millis: 115.348, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 114.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9738, kappa: 0.8887, kb_relative_information_score: 2538.3395, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9741, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4311, scimark_benchmark: 1856.5802, usercpu_time_millis: 385.048, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 382.469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9707, kappa: 0.8748, kb_relative_information_score: 2253.3457, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.4754, scimark_benchmark: 1840.7617, usercpu_time_millis: 84.22, usercpu_time_millis_testing: 1.693, usercpu_time_millis_training: 82.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9658, kappa: 0.8519, kb_relative_information_score: 2197.0633, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9678, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.3497, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.4953, scimark_benchmark: 1842.0896, usercpu_time_millis: 89.912, usercpu_time_millis_testing: 2.426, usercpu_time_millis_training: 87.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9706, kappa: 0.8736, kb_relative_information_score: 2384.2784, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2861, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4619, scimark_benchmark: 1840.3077, usercpu_time_millis: 44.204, usercpu_time_millis_testing: 1.734, usercpu_time_millis_training: 42.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9715, kappa: 0.8795, kb_relative_information_score: 2416.6602, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2375, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.4512, scimark_benchmark: 1840.6297, usercpu_time_millis: 1205.879, usercpu_time_millis_testing: 2.504, usercpu_time_millis_training: 1203.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9692, kappa: 0.87, kb_relative_information_score: 2570.7959, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9692, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4516, scimark_benchmark: 1813.3294, usercpu_time_millis: 1092.164, usercpu_time_millis_testing: 0.807, usercpu_time_millis_training: 1091.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9674, f_measure: 0.9586, kappa: 0.8281, kb_relative_information_score: 2281.741, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1814, root_relative_squared_error: 0.5229, scimark_benchmark: 1810.9643, usercpu_time_millis: 1082.478, usercpu_time_millis_testing: 1.305, usercpu_time_millis_training: 1081.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.971, kappa: 0.8774, kb_relative_information_score: 2587.7294, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1504, root_relative_squared_error: 0.4336, scimark_benchmark: 1841.1522, usercpu_time_millis: 967.513, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 966.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.9714, kappa: 0.8788, kb_relative_information_score: 2560.8727, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.1936, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1528, root_relative_squared_error: 0.4404, scimark_benchmark: 1850.9136, usercpu_time_millis: 802.925, usercpu_time_millis_testing: 1.129, usercpu_time_millis_training: 801.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9705, kappa: 0.8752, kb_relative_information_score: 2591.918, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.152, root_relative_squared_error: 0.4381, scimark_benchmark: 1852.4707, usercpu_time_millis: 487.679, usercpu_time_millis_testing: 0.794, usercpu_time_millis_training: 486.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.9599, kappa: 0.8343, kb_relative_information_score: 2287.0006, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9601, predictive_accuracy: 0.9597, prior_entropy: 0.5848, recall: 0.9597, relative_absolute_error: 0.2792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5224, scimark_benchmark: 1841.6688, usercpu_time_millis: 1912.019, usercpu_time_millis_testing: 1.398, usercpu_time_millis_training: 1910.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9753, kappa: 0.8953, kb_relative_information_score: 2510.2669, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9757, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.4251, scimark_benchmark: 1847.8629, usercpu_time_millis: 380.66, usercpu_time_millis_testing: 4.027, usercpu_time_millis_training: 376.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9706, kappa: 0.8752, kb_relative_information_score: 2205.4052, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.4982, scimark_benchmark: 1727.4365, usercpu_time_millis: 347.766, usercpu_time_millis_testing: 2.22, usercpu_time_millis_training: 345.546,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9759, kappa: 0.8988, kb_relative_information_score: 2666.7448, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9759, predictive_accuracy: 0.9762, prior_entropy: 0.5848, recall: 0.9762, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4022, scimark_benchmark: 1770.91, usercpu_time_millis: 494.064, usercpu_time_millis_testing: 1.281, usercpu_time_millis_training: 492.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9729, kappa: 0.8855, kb_relative_information_score: 2356.9216, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9731, predictive_accuracy: 0.9735, prior_entropy: 0.5848, recall: 0.9735, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.4572, scimark_benchmark: 1845.2509, usercpu_time_millis: 600.04, usercpu_time_millis_testing: 4.031, usercpu_time_millis_training: 596.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9732, kappa: 0.8861, kb_relative_information_score: 2469.9148, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.4485, scimark_benchmark: 1853.3841, usercpu_time_millis: 439.35, usercpu_time_millis_testing: 2.176, usercpu_time_millis_training: 437.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9709, kappa: 0.8765, kb_relative_information_score: 2543.6533, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9712, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.2112, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4371, scimark_benchmark: 1792.8162, usercpu_time_millis: 469.31, usercpu_time_millis_testing: 1.872, usercpu_time_millis_training: 467.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9717, kappa: 0.8803, kb_relative_information_score: 2538.0928, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.2024, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.4456, scimark_benchmark: 1836.6789, usercpu_time_millis: 456.152, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 455.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9727, kappa: 0.885, kb_relative_information_score: 2485.3237, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2189, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.4384, scimark_benchmark: 2011.632, usercpu_time_millis: 304.517, usercpu_time_millis_testing: 0.782, usercpu_time_millis_training: 303.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.955, kappa: 0.8103, kb_relative_information_score: 2229.9202, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9547, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5186, scimark_benchmark: 1839.7911, usercpu_time_millis: 155.105, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 154.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9664, kappa: 0.8568, kb_relative_information_score: 2500.8112, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9668, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.2257, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.4515, scimark_benchmark: 1913.7533, usercpu_time_millis: 38.474, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 37.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -2.8046, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1744.955, usercpu_time_millis: 9.114, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 7.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9724, kappa: 0.8825, kb_relative_information_score: 2517.83, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9729, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.4357, scimark_benchmark: 1857.1082, usercpu_time_millis: 43.685, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 42.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -3.2249, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1850.4154, usercpu_time_millis: 4.046, usercpu_time_millis_testing: 0.645, usercpu_time_millis_training: 3.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.6196, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1833.1413, usercpu_time_millis: 6.789, usercpu_time_millis_testing: 1.158, usercpu_time_millis_training: 5.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9679, kappa: 0.8613, kb_relative_information_score: 2267.1186, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9695, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.3217, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.4851, scimark_benchmark: 2072.5027, usercpu_time_millis: 60.941, usercpu_time_millis_testing: 1.991, usercpu_time_millis_training: 58.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -2.6715, mean_absolute_error: 0.2409, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1820.4809, usercpu_time_millis: 4.215, usercpu_time_millis_testing: 0.718, usercpu_time_millis_training: 3.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9726, kappa: 0.8841, kb_relative_information_score: 2598.6473, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9727, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.1884, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4296, scimark_benchmark: 1370.4819, usercpu_time_millis: 3674.981, usercpu_time_millis_testing: 2.996, usercpu_time_millis_training: 3671.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9589, kappa: 0.8308, kb_relative_information_score: 2273.41, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9594, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.2802, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5102, scimark_benchmark: 1359.6621, usercpu_time_millis: 2645.374, usercpu_time_millis_testing: 2.41, usercpu_time_millis_training: 2642.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9643, kappa: 0.8514, kb_relative_information_score: 2332.8493, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2609, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4777, scimark_benchmark: 1366.6316, usercpu_time_millis: 2478.118, usercpu_time_millis_testing: 3.094, usercpu_time_millis_training: 2475.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9715, kappa: 0.8797, kb_relative_information_score: 2392.5564, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9715, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2481, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.46, scimark_benchmark: 1359.6304, usercpu_time_millis: 363.616, usercpu_time_millis_testing: 1.323, usercpu_time_millis_training: 362.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9585, kappa: 0.8291, kb_relative_information_score: 2300.9042, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9589, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5054, scimark_benchmark: 1360.6055, usercpu_time_millis: 1978.769, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 1976.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.976, kappa: 0.8985, kb_relative_information_score: 2590.1242, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9763, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4136, scimark_benchmark: 1365.2763, usercpu_time_millis: 600.206, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 596.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9639, kappa: 0.8461, kb_relative_information_score: 2476.9858, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.4655, scimark_benchmark: 1359.5068, usercpu_time_millis: 533.036, usercpu_time_millis_testing: 1.41, usercpu_time_millis_training: 531.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -2.34, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.7396, predictive_accuracy: 0.86, prior_entropy: 0.5848, recall: 0.86, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1358.1588, usercpu_time_millis: 7.002, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 5.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.9705, kappa: 0.875, kb_relative_information_score: 2574.6064, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9705, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1545, root_relative_squared_error: 0.4453, scimark_benchmark: 1365.8231, usercpu_time_millis: 9629.087, usercpu_time_millis_testing: 3.574, usercpu_time_millis_training: 9625.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9694, kappa: 0.8714, kb_relative_information_score: 2396.5632, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9693, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4734, scimark_benchmark: 1362.9744, usercpu_time_millis: 1107.22, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 1105.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.8458, kappa: 0.2586, kb_relative_information_score: 843.9452, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8941, predictive_accuracy: 0.8832, prior_entropy: 0.5848, recall: 0.8832, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.293, root_relative_squared_error: 0.8445, scimark_benchmark: 1365.63, usercpu_time_millis: 18.507, usercpu_time_millis_testing: 1.272, usercpu_time_millis_training: 17.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9591, kappa: 0.8313, kb_relative_information_score: 2290.6302, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9595, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5224, scimark_benchmark: 1365.0133, usercpu_time_millis: 622.551, usercpu_time_millis_testing: 0.975, usercpu_time_millis_training: 621.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2565.4702, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4339, scimark_benchmark: 1361.6364, usercpu_time_millis: 3058.24, usercpu_time_millis_testing: 2.871, usercpu_time_millis_training: 3055.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9594, kappa: 0.8321, kb_relative_information_score: 2284.031, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2773, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.515, scimark_benchmark: 1363.3752, usercpu_time_millis: 1258.331, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 1256.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9701, kappa: 0.8736, kb_relative_information_score: 2589.9308, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.1843, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.4371, scimark_benchmark: 1363.268, usercpu_time_millis: 4079.521, usercpu_time_millis_testing: 2.265, usercpu_time_millis_training: 4077.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9762, kappa: 0.9, kb_relative_information_score: 2687.7851, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9762, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.1511, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4117, scimark_benchmark: 1362.4168, usercpu_time_millis: 9552.885, usercpu_time_millis_testing: 4.023, usercpu_time_millis_training: 9548.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9723, kappa: 0.8827, kb_relative_information_score: 2561.3265, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9724, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.4407, scimark_benchmark: 1365.9256, usercpu_time_millis: 363.079, usercpu_time_millis_testing: 0.944, usercpu_time_millis_training: 362.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9678, kappa: 0.8608, kb_relative_information_score: 2295.944, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.4736, scimark_benchmark: 1363.1493, usercpu_time_millis: 230.882, usercpu_time_millis_testing: 6.045, usercpu_time_millis_training: 224.837,

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