Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 34536 Supervised Classification Internet-Advertisements 57663 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1269.3183, usercpu_time_millis: 15.351, usercpu_time_millis_testing: 3.102, usercpu_time_millis_training: 12.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1246.4586, usercpu_time_millis: 15.3, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 11.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1246.726, usercpu_time_millis: 18.362, usercpu_time_millis_testing: 3.681, usercpu_time_millis_training: 14.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9668, kappa: 0.8568, kb_relative_information_score: 2216.6686, mean_absolute_error: 0.082, 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: 0.3405, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4853, scimark_benchmark: 1275.4306, usercpu_time_millis: 840.014, usercpu_time_millis_testing: 20.173, usercpu_time_millis_training: 819.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9746, kappa: 0.8916, kb_relative_information_score: 2411.8694, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2676, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.4422, scimark_benchmark: 1278.7516, usercpu_time_millis: 942.808, usercpu_time_millis_testing: 21.263, usercpu_time_millis_training: 921.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.963, kappa: 0.8389, kb_relative_information_score: 2195.1329, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9657, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.495, scimark_benchmark: 1284.9074, usercpu_time_millis: 783.931, usercpu_time_millis_testing: 29.064, usercpu_time_millis_training: 754.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9759, kappa: 0.8977, kb_relative_information_score: 2498.9119, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9764, predictive_accuracy: 0.9765, prior_entropy: 0.5848, recall: 0.9765, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4284, scimark_benchmark: 1283.2256, usercpu_time_millis: 69.34, usercpu_time_millis_testing: 2.898, usercpu_time_millis_training: 66.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9746, kappa: 0.8918, kb_relative_information_score: 2424.1766, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4393, scimark_benchmark: 1270.4438, usercpu_time_millis: 2274.965, usercpu_time_millis_testing: 32.607, usercpu_time_millis_training: 2242.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.796, kappa: 0.0037, kb_relative_information_score: 717.8809, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8798, predictive_accuracy: 0.8603, prior_entropy: 0.5848, recall: 0.8603, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.8764, scimark_benchmark: 1274.1589, usercpu_time_millis: 62.233, usercpu_time_millis_testing: 6.59, usercpu_time_millis_training: 55.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9736, kappa: 0.8872, kb_relative_information_score: 2420.591, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9743, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2671, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.4411, scimark_benchmark: 1285.4739, usercpu_time_millis: 407.004, usercpu_time_millis_testing: 9.727, usercpu_time_millis_training: 397.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9752, kappa: 0.8944, kb_relative_information_score: 2484.506, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9758, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4281, scimark_benchmark: 1264.3327, usercpu_time_millis: 436.755, usercpu_time_millis_testing: 8.757, usercpu_time_millis_training: 427.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9689, kappa: 0.8661, kb_relative_information_score: 2213.8226, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9703, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.3372, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.485, scimark_benchmark: 1281.0604, usercpu_time_millis: 729.091, usercpu_time_millis_testing: 13.833, usercpu_time_millis_training: 715.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9679, kappa: 0.8616, kb_relative_information_score: 2163.1755, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9694, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.3582, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.173, root_relative_squared_error: 0.4987, scimark_benchmark: 1265.3233, usercpu_time_millis: 626.508, usercpu_time_millis_testing: 7.777, usercpu_time_millis_training: 618.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.9706, kappa: 0.8736, kb_relative_information_score: 2358.5372, mean_absolute_error: 0.0707, 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: 0.2935, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4616, scimark_benchmark: 1255.2479, usercpu_time_millis: 100.991, usercpu_time_millis_testing: 6.164, usercpu_time_millis_training: 94.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1266.3593, usercpu_time_millis: 15.113, usercpu_time_millis_testing: 3.222, usercpu_time_millis_training: 11.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1277.7254, usercpu_time_millis: 14.99, usercpu_time_millis_testing: 3.339, usercpu_time_millis_training: 11.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1249.806, usercpu_time_millis: 19.171, usercpu_time_millis_testing: 3.517, usercpu_time_millis_training: 15.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1262.5311, usercpu_time_millis: 22.021, usercpu_time_millis_testing: 3.468, usercpu_time_millis_training: 18.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1270.6199, usercpu_time_millis: 15.684, usercpu_time_millis_testing: 3.219, usercpu_time_millis_training: 12.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.8806, kappa: 0.4431, kb_relative_information_score: 945.4898, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8976, predictive_accuracy: 0.9003, prior_entropy: 0.5848, recall: 0.9003, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8628, scimark_benchmark: 1275.0809, usercpu_time_millis: 15.624, usercpu_time_millis_testing: 3.23, usercpu_time_millis_training: 12.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1270.5023, usercpu_time_millis: 16.56, usercpu_time_millis_testing: 3.591, usercpu_time_millis_training: 12.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8504, f_measure: 0.9491, kappa: 0.7829, kb_relative_information_score: 2091.0675, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.949, predictive_accuracy: 0.9506, prior_entropy: 0.5848, recall: 0.9506, relative_absolute_error: 0.3739, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.6204, scimark_benchmark: 1275.9129, usercpu_time_millis: 19.292, usercpu_time_millis_testing: 3.154, usercpu_time_millis_training: 16.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1272.0554, usercpu_time_millis: 13.842, usercpu_time_millis_testing: 2.877, usercpu_time_millis_training: 10.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1272.9971, usercpu_time_millis: 14.837, usercpu_time_millis_testing: 3.414, usercpu_time_millis_training: 11.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1260.6414, usercpu_time_millis: 16.903, usercpu_time_millis_testing: 3.209, usercpu_time_millis_training: 13.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1250.51, usercpu_time_millis: 16.958, usercpu_time_millis_testing: 3.552, usercpu_time_millis_training: 13.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1251.7184, usercpu_time_millis: 16.739, usercpu_time_millis_testing: 3.2, usercpu_time_millis_training: 13.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1247.9324, usercpu_time_millis: 16.722, usercpu_time_millis_testing: 3.367, usercpu_time_millis_training: 13.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1252.3406, usercpu_time_millis: 18.409, usercpu_time_millis_testing: 3.099, usercpu_time_millis_training: 15.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1246.6185, usercpu_time_millis: 19.067, usercpu_time_millis_testing: 3.474, usercpu_time_millis_training: 15.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1243.1438, usercpu_time_millis: 15.421, usercpu_time_millis_testing: 3.491, usercpu_time_millis_training: 11.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1269.8201, usercpu_time_millis: 16.802, usercpu_time_millis_testing: 3.329, usercpu_time_millis_training: 13.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9674, kappa: 0.8593, kb_relative_information_score: 2267.6409, mean_absolute_error: 0.0792, 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: 0.3286, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1667, root_relative_squared_error: 0.4805, scimark_benchmark: 1263.248, usercpu_time_millis: 123.631, usercpu_time_millis_testing: 5.751, usercpu_time_millis_training: 117.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9283, kappa: 0.6751, kb_relative_information_score: 1814.5859, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9398, predictive_accuracy: 0.9363, prior_entropy: 0.5848, recall: 0.9363, relative_absolute_error: 0.5256, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2109, root_relative_squared_error: 0.608, scimark_benchmark: 1272.4404, usercpu_time_millis: 391.686, usercpu_time_millis_testing: 23.931, usercpu_time_millis_training: 367.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9695, kappa: 0.8688, kb_relative_information_score: 2332.1679, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4625, scimark_benchmark: 1261.3673, usercpu_time_millis: 488.384, usercpu_time_millis_testing: 16.008, usercpu_time_millis_training: 472.376,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1248.3674, usercpu_time_millis: 12.896, usercpu_time_millis_testing: 2.808, usercpu_time_millis_training: 10.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1271.1913, usercpu_time_millis: 13.826, usercpu_time_millis_testing: 3.033, usercpu_time_millis_training: 10.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1245.6086, usercpu_time_millis: 14.72, usercpu_time_millis_testing: 3.101, usercpu_time_millis_training: 11.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1270.5607, usercpu_time_millis: 12.976, usercpu_time_millis_testing: 2.915, usercpu_time_millis_training: 10.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1251.0293, usercpu_time_millis: 14.99, usercpu_time_millis_testing: 3.066, usercpu_time_millis_training: 11.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1250.8949, usercpu_time_millis: 13.286, usercpu_time_millis_testing: 2.89, usercpu_time_millis_training: 10.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1269.5774, usercpu_time_millis: 14.415, usercpu_time_millis_testing: 3.008, usercpu_time_millis_training: 11.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.9661, kappa: 0.8529, kb_relative_information_score: 2334.0882, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9683, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.4799, scimark_benchmark: 1271.978, usercpu_time_millis: 611.537, usercpu_time_millis_testing: 21.464, usercpu_time_millis_training: 590.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.982, f_measure: 0.9706, kappa: 0.8736, kb_relative_information_score: 2328.8517, mean_absolute_error: 0.072, 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: 0.2987, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4598, scimark_benchmark: 1273.7916, usercpu_time_millis: 1800.571, usercpu_time_millis_testing: 35.49, usercpu_time_millis_training: 1765.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.976, kappa: 0.8979, kb_relative_information_score: 2564.7781, mean_absolute_error: 0.0515, 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: 0.2137, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4104, scimark_benchmark: 1285.8476, usercpu_time_millis: 2632.787, usercpu_time_millis_testing: 29.901, usercpu_time_millis_training: 2602.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.977, f_measure: 0.9708, kappa: 0.8755, kb_relative_information_score: 2256.3718, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9713, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.476, scimark_benchmark: 1271.9429, usercpu_time_millis: 239.025, usercpu_time_millis_testing: 4.934, usercpu_time_millis_training: 234.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9749, kappa: 0.8928, kb_relative_information_score: 2441.4431, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 0.5848, recall: 0.9756, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1515, root_relative_squared_error: 0.4365, scimark_benchmark: 1292.6163, usercpu_time_millis: 990.85, usercpu_time_millis_testing: 17.689, usercpu_time_millis_training: 973.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.7953, kb_relative_information_score: -6.48, mean_absolute_error: 0.241, 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: 1.0002, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1289.728, usercpu_time_millis: 33.87, usercpu_time_millis_testing: 3.332, usercpu_time_millis_training: 30.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -1.8118, 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: 0.9997, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1262.3395, usercpu_time_millis: 31.428, usercpu_time_millis_testing: 3.479, usercpu_time_millis_training: 27.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.543, 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: 1270.6852, usercpu_time_millis: 38.316, usercpu_time_millis_testing: 5.321, usercpu_time_millis_training: 32.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9739, kappa: 0.8882, kb_relative_information_score: 2393.1876, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.5848, recall: 0.9747, relative_absolute_error: 0.2772, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4538, scimark_benchmark: 1282.0313, usercpu_time_millis: 444.195, usercpu_time_millis_testing: 11.03, usercpu_time_millis_training: 433.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9718, kappa: 0.8788, kb_relative_information_score: 2341.4519, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9732, predictive_accuracy: 0.9729, prior_entropy: 0.5848, recall: 0.9729, relative_absolute_error: 0.2961, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4564, scimark_benchmark: 1277.1877, usercpu_time_millis: 1209.235, usercpu_time_millis_testing: 30.231, usercpu_time_millis_training: 1179.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9662, kappa: 0.854, kb_relative_information_score: 2143.7093, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9679, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.3726, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5036, scimark_benchmark: 1268.2955, usercpu_time_millis: 1216.937, usercpu_time_millis_testing: 17.095, usercpu_time_millis_training: 1199.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9743, kappa: 0.8905, kb_relative_information_score: 2427.3947, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9749, predictive_accuracy: 0.975, prior_entropy: 0.5848, recall: 0.975, relative_absolute_error: 0.2602, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1525, root_relative_squared_error: 0.4394, scimark_benchmark: 1282.2206, usercpu_time_millis: 1600.541, usercpu_time_millis_testing: 30.484, usercpu_time_millis_training: 1570.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1266.4852, usercpu_time_millis: 15.859, usercpu_time_millis_testing: 3.263, usercpu_time_millis_training: 12.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.9416, kappa: 0.7521, kb_relative_information_score: 1922.3604, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.943, prior_entropy: 0.5848, recall: 0.943, relative_absolute_error: 0.4216, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.6549, scimark_benchmark: 1268.3042, usercpu_time_millis: 19.287, usercpu_time_millis_testing: 3.149, usercpu_time_millis_training: 16.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9334, kappa: 0.7136, kb_relative_information_score: 1744.1799, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.933, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4792, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.241, root_relative_squared_error: 0.6945, scimark_benchmark: 1262.9708, usercpu_time_millis: 19.081, usercpu_time_millis_testing: 3.252, usercpu_time_millis_training: 15.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9747, kappa: 0.8922, kb_relative_information_score: 2403.6847, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9751, predictive_accuracy: 0.9753, prior_entropy: 0.5848, recall: 0.9753, relative_absolute_error: 0.2651, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1543, root_relative_squared_error: 0.4447, scimark_benchmark: 1271.7727, usercpu_time_millis: 525.005, usercpu_time_millis_testing: 9.978, usercpu_time_millis_training: 515.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9708, kappa: 0.8743, kb_relative_information_score: 2356.863, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9723, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2926, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1576, root_relative_squared_error: 0.4541, scimark_benchmark: 1287.9087, usercpu_time_millis: 1001.203, usercpu_time_millis_testing: 27.299, usercpu_time_millis_training: 973.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.951, kappa: 0.7834, kb_relative_information_score: 2126.3295, mean_absolute_error: 0.0945, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9561, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3922, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.5421, scimark_benchmark: 1267.6777, usercpu_time_millis: 283.068, usercpu_time_millis_testing: 16.497, usercpu_time_millis_training: 266.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6645, f_measure: 0.8806, kappa: 0.4431, kb_relative_information_score: 945.4898, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8976, predictive_accuracy: 0.9003, prior_entropy: 0.5848, recall: 0.9003, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8628, scimark_benchmark: 1253.379, usercpu_time_millis: 17.241, usercpu_time_millis_testing: 3.342, usercpu_time_millis_training: 13.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1251.8704, usercpu_time_millis: 17.448, usercpu_time_millis_testing: 3.322, usercpu_time_millis_training: 14.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1268.9651, usercpu_time_millis: 16.355, usercpu_time_millis_testing: 3.352, usercpu_time_millis_training: 13.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1274.6734, usercpu_time_millis: 15.467, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 12.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3367, 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: 1273.5156, usercpu_time_millis: 14.775, usercpu_time_millis_testing: 3.148, usercpu_time_millis_training: 11.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.8902, kappa: 0.4936, kb_relative_information_score: 1064.1307, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9018, predictive_accuracy: 0.9058, prior_entropy: 0.5848, recall: 0.9058, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2919, root_relative_squared_error: 0.8413, scimark_benchmark: 1269.426, usercpu_time_millis: 15.854, usercpu_time_millis_testing: 3.025, usercpu_time_millis_training: 12.829,

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