Task
Supervised Classification on Internet-Advertisements

Supervised Classification on Internet-Advertisements

Task 6566 Supervised Classification Internet-Advertisements 25422 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9625, kappa: 0.8441, kb_relative_information_score: 2245.4842, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.4993, scimark_benchmark: 1902.8097, usercpu_time_millis: 70.342, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 69.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9434, kappa: 0.7591, kb_relative_information_score: 1999.1101, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9429, predictive_accuracy: 0.9448, prior_entropy: 0.5848, recall: 0.9448, relative_absolute_error: 0.4151, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.5854, scimark_benchmark: 1827.287, usercpu_time_millis: 82.276, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 81.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9756, kappa: 0.8972, kb_relative_information_score: 2602.6604, mean_absolute_error: 0.0453, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9756, predictive_accuracy: 0.9759, prior_entropy: 0.5848, recall: 0.9759, relative_absolute_error: 0.1882, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4112, scimark_benchmark: 1838.0772, usercpu_time_millis: 67.127, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 66.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9568, kappa: 0.8171, kb_relative_information_score: 2185.3996, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9565, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3316, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.5212, scimark_benchmark: 1124.1575, usercpu_time_millis: 98.467, usercpu_time_millis_testing: 1.411, usercpu_time_millis_training: 97.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9592, kappa: 0.8319, kb_relative_information_score: 2279.184, mean_absolute_error: 0.0669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9588, prior_entropy: 0.5848, recall: 0.9588, relative_absolute_error: 0.2775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5055, scimark_benchmark: 1851.8567, usercpu_time_millis: 106.375, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 105.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9721, kappa: 0.8821, kb_relative_information_score: 2602.7173, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9721, predictive_accuracy: 0.9726, prior_entropy: 0.5848, recall: 0.9726, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4267, scimark_benchmark: 1779.5841, usercpu_time_millis: 53.183, usercpu_time_millis_testing: 0.586, usercpu_time_millis_training: 52.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9146, kappa: 0.6089, kb_relative_information_score: 1542.5975, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9289, predictive_accuracy: 0.9256, prior_entropy: 0.5848, recall: 0.9256, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.6752, scimark_benchmark: 1843.1261, usercpu_time_millis: 96.966, usercpu_time_millis_testing: 1.016, usercpu_time_millis_training: 95.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9498, f_measure: 0.8892, kappa: 0.4808, kb_relative_information_score: 1394.7104, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9154, predictive_accuracy: 0.9085, prior_entropy: 0.5848, recall: 0.9085, relative_absolute_error: 0.6498, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.7123, scimark_benchmark: 1817.3885, usercpu_time_millis: 30.2, usercpu_time_millis_testing: 1.003, usercpu_time_millis_training: 29.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9689, kappa: 0.8664, kb_relative_information_score: 2256.2596, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9702, predictive_accuracy: 0.9701, prior_entropy: 0.5848, recall: 0.9701, relative_absolute_error: 0.3203, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4832, scimark_benchmark: 1725.4128, usercpu_time_millis: 77.58, usercpu_time_millis_testing: 2.544, usercpu_time_millis_training: 75.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8813, kappa: 0.4409, kb_relative_information_score: 1226.518, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9102, predictive_accuracy: 0.9033, prior_entropy: 0.5848, recall: 0.9033, relative_absolute_error: 0.703, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.7506, scimark_benchmark: 1829.1442, usercpu_time_millis: 33.758, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 32.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9522, kappa: 0.7991, kb_relative_information_score: 2213.6447, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9518, predictive_accuracy: 0.9527, prior_entropy: 0.5848, recall: 0.9527, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5427, scimark_benchmark: 1816.1301, usercpu_time_millis: 28.017, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 27.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9746, kappa: 0.8932, kb_relative_information_score: 2626.5354, mean_absolute_error: 0.0431, 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: 0.1788, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4114, scimark_benchmark: 1844.1393, usercpu_time_millis: 27.748, usercpu_time_millis_testing: 0.572, usercpu_time_millis_training: 27.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9705, kappa: 0.8752, kb_relative_information_score: 2540.8141, mean_absolute_error: 0.0459, 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: 0.1903, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1602, root_relative_squared_error: 0.4616, scimark_benchmark: 1853.3841, usercpu_time_millis: 25.885, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 25.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -0.9053, 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: 1853.9121, usercpu_time_millis: 8.256, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 7.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -1.171, 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: 1848.5692, usercpu_time_millis: 7.22, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 5.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9758, kappa: 0.8978, kb_relative_information_score: 2607.8372, mean_absolute_error: 0.045, 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: 0.1868, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4156, scimark_benchmark: 1821.405, usercpu_time_millis: 41.06, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 40.467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.7953, kb_relative_information_score: -5.5532, 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: 1.0001, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1825.1897, usercpu_time_millis: 3.855, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 3.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8786, kappa: 0.4274, kb_relative_information_score: 1256.8916, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9079, predictive_accuracy: 0.9015, prior_entropy: 0.5848, recall: 0.9015, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2588, root_relative_squared_error: 0.7459, scimark_benchmark: 1826.7589, usercpu_time_millis: 40.007, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 39.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.7381, 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: 1793.8079, usercpu_time_millis: 7.371, usercpu_time_millis_testing: 1.267, usercpu_time_millis_training: 6.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.8563, 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: 1853.9121, usercpu_time_millis: 5.783, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 4.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9688, kappa: 0.8691, kb_relative_information_score: 2283.9593, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9692, prior_entropy: 0.5848, recall: 0.9692, relative_absolute_error: 0.2924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.4878, scimark_benchmark: 1825.7178, usercpu_time_millis: 33.045, usercpu_time_millis_testing: 0.649, usercpu_time_millis_training: 32.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.7847, 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: 1832.0698, usercpu_time_millis: 5.226, usercpu_time_millis_testing: 0.833, usercpu_time_millis_training: 4.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -2.4361, 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: 1822.3184, usercpu_time_millis: 7.309, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 6.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -2.1437, 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: 1850.8185, usercpu_time_millis: 5.907, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 4.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: 3.1312, mean_absolute_error: 0.2406, 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: 0.9984, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1844.7928, usercpu_time_millis: 3.659, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 3.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 1.3057, 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: 1843.1261, usercpu_time_millis: 3.808, usercpu_time_millis_testing: 0.671, usercpu_time_millis_training: 3.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -2.8381, 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: 1819.8937, usercpu_time_millis: 4.034, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 3.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.955, kappa: 0.8113, kb_relative_information_score: 2219.7721, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9547, predictive_accuracy: 0.9555, prior_entropy: 0.5848, recall: 0.9555, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.181, root_relative_squared_error: 0.5216, scimark_benchmark: 1836.6622, usercpu_time_millis: 16.231, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 15.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.0497, 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: 1799.9805, usercpu_time_millis: 5.432, usercpu_time_millis_testing: 0.936, usercpu_time_millis_training: 4.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.7953, kb_relative_information_score: -2.3231, 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: 1836.735, usercpu_time_millis: 4.335, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 3.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.9694, kappa: 0.871, kb_relative_information_score: 2458.7923, mean_absolute_error: 0.0497, 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: 0.2063, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.4634, scimark_benchmark: 1832.5979, usercpu_time_millis: 9.684, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 9.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9132, kappa: 0.6011, kb_relative_information_score: 1589.0518, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9298, predictive_accuracy: 0.925, prior_entropy: 0.5848, recall: 0.925, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.6648, scimark_benchmark: 1816.1682, usercpu_time_millis: 19.645, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 18.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.964, 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: 1849.8294, usercpu_time_millis: 7.385, usercpu_time_millis_testing: 1.226, usercpu_time_millis_training: 6.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9737, f_measure: 0.9617, kappa: 0.833, kb_relative_information_score: 2146.143, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.523, scimark_benchmark: 1842.1882, usercpu_time_millis: 31.841, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 30.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -2.1065, 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: 1836.0792, usercpu_time_millis: 5.413, usercpu_time_millis_testing: 0.872, usercpu_time_millis_training: 4.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9682, kappa: 0.8665, kb_relative_information_score: 2400.7302, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.168, root_relative_squared_error: 0.4842, scimark_benchmark: 1822.3184, usercpu_time_millis: 31.043, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 30.516,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.8806, kappa: 0.4374, kb_relative_information_score: 1239.7323, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.909, predictive_accuracy: 0.9027, prior_entropy: 0.5848, recall: 0.9027, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.7503, scimark_benchmark: 1850.7795, usercpu_time_millis: 71.849, usercpu_time_millis_testing: 0.92, usercpu_time_millis_training: 70.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9604, kappa: 0.8274, kb_relative_information_score: 2125.2305, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.963, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.521, scimark_benchmark: 1842.6679, usercpu_time_millis: 64.839, usercpu_time_millis_testing: 1.694, usercpu_time_millis_training: 63.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9723, kappa: 0.8829, kb_relative_information_score: 2550.2317, mean_absolute_error: 0.0481, 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: 0.1995, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.4337, scimark_benchmark: 1846.6923, usercpu_time_millis: 95.143, usercpu_time_millis_testing: 0.636, usercpu_time_millis_training: 94.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9659, kappa: 0.8525, kb_relative_information_score: 2346.534, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9676, predictive_accuracy: 0.9674, prior_entropy: 0.5848, recall: 0.9674, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4715, scimark_benchmark: 1780.3074, usercpu_time_millis: 59.907, usercpu_time_millis_testing: 2.347, usercpu_time_millis_training: 57.56,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, f_measure: 0.9739, kappa: 0.8898, kb_relative_information_score: 2469.96, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.974, predictive_accuracy: 0.9744, prior_entropy: 0.5848, recall: 0.9744, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.4378, scimark_benchmark: 1847.2233, usercpu_time_millis: 52.988, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 52.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9727, kappa: 0.885, kb_relative_information_score: 2631.4133, mean_absolute_error: 0.042, 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: 0.1743, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1442, root_relative_squared_error: 0.4155, scimark_benchmark: 1853.3841, usercpu_time_millis: 63.232, usercpu_time_millis_testing: 0.607, usercpu_time_millis_training: 62.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9723, kappa: 0.8819, kb_relative_information_score: 2356.6485, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.973, predictive_accuracy: 0.9732, prior_entropy: 0.5848, recall: 0.9732, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.158, root_relative_squared_error: 0.4553, scimark_benchmark: 1832.5979, usercpu_time_millis: 65.7, usercpu_time_millis_testing: 1.841, usercpu_time_millis_training: 63.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9729, kappa: 0.8853, kb_relative_information_score: 2456.7229, mean_absolute_error: 0.053, 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: 0.2198, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.157, root_relative_squared_error: 0.4526, scimark_benchmark: 1741.2779, usercpu_time_millis: 58.478, usercpu_time_millis_testing: 0.594, usercpu_time_millis_training: 57.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9581, kappa: 0.8245, kb_relative_information_score: 2220.1315, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9579, predictive_accuracy: 0.9585, prior_entropy: 0.5848, recall: 0.9585, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.5117, scimark_benchmark: 1848.8462, usercpu_time_millis: 50.86, usercpu_time_millis_testing: 0.626, usercpu_time_millis_training: 50.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -0.8354, 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: 1821.3322, usercpu_time_millis: 7.714, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 6.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9604, kappa: 0.8353, kb_relative_information_score: 2244.1512, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9604, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.3007, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5054, scimark_benchmark: 1804.8017, usercpu_time_millis: 77.877, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 77.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.2028, 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: 1829.7272, usercpu_time_millis: 7.269, usercpu_time_millis_testing: 1.325, usercpu_time_millis_training: 5.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -2.4669, 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: 1836.0792, usercpu_time_millis: 7.432, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 6.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.5116, 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: 1805.2569, usercpu_time_millis: 4.438, usercpu_time_millis_testing: 0.765, usercpu_time_millis_training: 3.673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.7953, kb_relative_information_score: -3.4793, 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: 1801.0995, usercpu_time_millis: 5.162, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 4.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: 0.6154, 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: 1828.2308, usercpu_time_millis: 4.321, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 3.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9709, kappa: 0.8776, kb_relative_information_score: 2544.0091, mean_absolute_error: 0.0478, 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: 0.1985, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.4375, scimark_benchmark: 1848.2615, usercpu_time_millis: 12.809, usercpu_time_millis_testing: 0.526, usercpu_time_millis_training: 12.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: 0.8475, mean_absolute_error: 0.2407, 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: 0.9992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1839.1303, usercpu_time_millis: 8.667, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 7.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9667, kappa: 0.8599, kb_relative_information_score: 2224.7591, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9665, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1716, root_relative_squared_error: 0.4945, scimark_benchmark: 1849.3742, usercpu_time_millis: 59.235, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 58.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.958, kappa: 0.8258, kb_relative_information_score: 2254.8111, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9581, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.5202, scimark_benchmark: 1852.355, usercpu_time_millis: 31.445, usercpu_time_millis_testing: 0.531, usercpu_time_millis_training: 30.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -14.4474, 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: 1, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1846.2342, usercpu_time_millis: 3.956, usercpu_time_millis_testing: 0.648, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -4.7656, 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: 1, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1857.1082, usercpu_time_millis: 3.491, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 2.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9773, kappa: 0.9036, kb_relative_information_score: 2567.2104, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9776, predictive_accuracy: 0.9777, prior_entropy: 0.5848, recall: 0.9777, relative_absolute_error: 0.2127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.4118, scimark_benchmark: 1806.3709, usercpu_time_millis: 63.371, usercpu_time_millis_testing: 1.112, usercpu_time_millis_training: 62.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.7953, kb_relative_information_score: -12.1357, mean_absolute_error: 0.2404, 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: 0.9979, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1852.5406, usercpu_time_millis: 2.954, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 2.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.9594, kappa: 0.8324, kb_relative_information_score: 2265.8254, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9597, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5185, scimark_benchmark: 1848.7762, usercpu_time_millis: 57.002, usercpu_time_millis_testing: 0.57, usercpu_time_millis_training: 56.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.7953, kb_relative_information_score: -1.8098, 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: 1834.6378, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.633, usercpu_time_millis_training: 3.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1.2903, 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: 1854.4951, usercpu_time_millis: 6.067, usercpu_time_millis_testing: 1.001, usercpu_time_millis_training: 5.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9576, kappa: 0.8226, kb_relative_information_score: 2218.5083, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9574, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3156, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.179, root_relative_squared_error: 0.5158, scimark_benchmark: 1782.4613, usercpu_time_millis: 18.129, usercpu_time_millis_testing: 0.556, usercpu_time_millis_training: 17.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.7953, kb_relative_information_score: -3.2596, 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: 1801.0793, usercpu_time_millis: 4.392, usercpu_time_millis_testing: 0.727, usercpu_time_millis_training: 3.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -7.4789, mean_absolute_error: 0.2405, 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: 0.9983, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.347, root_relative_squared_error: 1, scimark_benchmark: 1843.1261, usercpu_time_millis: 3.142, usercpu_time_millis_testing: 0.554, usercpu_time_millis_training: 2.588,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs