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: 0.6959, f_measure: 0.7438, kappa: 0.246, kb_relative_information_score: -1134.4825, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.844, predictive_accuracy: 0.6999, prior_entropy: 0.5848, recall: 0.6999, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.419, root_relative_squared_error: 1.2077, scimark_benchmark: 1261.901, usercpu_time_millis: 1603.613, usercpu_time_millis_testing: 0.241, usercpu_time_millis_training: 1603.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9668, kappa: 0.8565, kb_relative_information_score: 2436.1285, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9687, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2829, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4716, scimark_benchmark: 1272.5174, usercpu_time_millis: 25.203, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 24.928,
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: 1269.2828, usercpu_time_millis: 4.09, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 3.728,
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: 1270.5141, usercpu_time_millis: 4.514, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 4.25,
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: 1280.3197, usercpu_time_millis: 4.229, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 3.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9035, kappa: 0.5528, kb_relative_information_score: 1306.4997, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9232, predictive_accuracy: 0.918, prior_entropy: 0.5848, recall: 0.918, relative_absolute_error: 0.6724, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.256, root_relative_squared_error: 0.7378, scimark_benchmark: 1265.825, usercpu_time_millis: 5.534, usercpu_time_millis_testing: 0.334, usercpu_time_millis_training: 5.2,
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: 1281.5836, usercpu_time_millis: 4.535, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 4.304,
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: 1265.0735, usercpu_time_millis: 3.837, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 3.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0344, kb_relative_information_score: -7406.541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 2.0753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5, root_relative_squared_error: 1.4411, scimark_benchmark: 1236.6001, usercpu_time_millis: 8258.552, usercpu_time_millis_testing: 2.687, usercpu_time_millis_training: 8255.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.4351, kappa: 0.0864, kb_relative_information_score: -4820.3787, mean_absolute_error: 0.4019, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8584, predictive_accuracy: 0.3888, prior_entropy: 0.5848, recall: 0.3888, relative_absolute_error: 1.6682, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.4226, scimark_benchmark: 1280.6151, usercpu_time_millis: 2410.245, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 2410.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.9047, kappa: 0.5675, kb_relative_information_score: 940.5099, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9118, predictive_accuracy: 0.9155, prior_entropy: 0.5848, recall: 0.9155, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2784, root_relative_squared_error: 0.8025, scimark_benchmark: 1256.9954, usercpu_time_millis: 9603.761, usercpu_time_millis_testing: 0.884, usercpu_time_millis_training: 9602.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9544, kappa: 0.8001, kb_relative_information_score: 2129.2796, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9581, predictive_accuracy: 0.9573, prior_entropy: 0.5848, recall: 0.9573, relative_absolute_error: 0.392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.5473, scimark_benchmark: 1282.9507, usercpu_time_millis: 5.836, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 5.589,
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: 1280.7668, usercpu_time_millis: 4.152, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 3.912,
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: 1278.56, usercpu_time_millis: 3.93, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 3.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.7953, kb_relative_information_score: 173.001, mean_absolute_error: 0.2348, 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: 0.9744, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.9755, scimark_benchmark: 1274.0761, usercpu_time_millis: 3.779, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 3.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9726, kappa: 0.8843, kb_relative_information_score: 2692.4056, mean_absolute_error: 0.0387, 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: 0.1608, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1542, root_relative_squared_error: 0.4444, scimark_benchmark: 1258.5947, usercpu_time_millis: 3787.081, usercpu_time_millis_testing: 2.042, usercpu_time_millis_training: 3785.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.6185, kappa: 0.1844, kb_relative_information_score: -2406.035, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8695, predictive_accuracy: 0.5572, prior_entropy: 0.5848, recall: 0.5572, relative_absolute_error: 1.1467, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3686, root_relative_squared_error: 1.0622, scimark_benchmark: 1276.45, usercpu_time_millis: 1828.632, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1828.413,
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: 1260.2167, usercpu_time_millis: 3.948, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 3.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8533, kappa: 0.2975, kb_relative_information_score: 939.9047, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.895, predictive_accuracy: 0.8869, prior_entropy: 0.5848, recall: 0.8869, relative_absolute_error: 0.79, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.8197, scimark_benchmark: 1256.4067, usercpu_time_millis: 4.413, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 4.147,
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: 1277.8399, usercpu_time_millis: 3.432, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 3.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9585, kappa: 0.8183, kb_relative_information_score: 2194.0936, mean_absolute_error: 0.0938, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9619, predictive_accuracy: 0.961, prior_entropy: 0.5848, recall: 0.961, relative_absolute_error: 0.3892, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.5298, scimark_benchmark: 1269.9335, usercpu_time_millis: 8.936, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 8.614,
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: 1282.8757, usercpu_time_millis: 5.443, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 5.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.8794, kappa: 0.431, kb_relative_information_score: 1313.801, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9091, predictive_accuracy: 0.9021, prior_entropy: 0.5848, recall: 0.9021, relative_absolute_error: 0.6872, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2566, root_relative_squared_error: 0.7395, scimark_benchmark: 1281.204, usercpu_time_millis: 3.844, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 3.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9252, kappa: 0.6703, kb_relative_information_score: 1626.0267, mean_absolute_error: 0.1151, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9271, predictive_accuracy: 0.9305, prior_entropy: 0.5848, recall: 0.9305, relative_absolute_error: 0.4777, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.6788, scimark_benchmark: 1270.6174, usercpu_time_millis: 4595.395, usercpu_time_millis_testing: 1.686, usercpu_time_millis_training: 4593.709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.6932, kappa: 0.2432, kb_relative_information_score: -1462.6262, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8708, predictive_accuracy: 0.6383, prior_entropy: 0.5848, recall: 0.6383, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.9782, scimark_benchmark: 1252.4613, usercpu_time_millis: 606.321, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 606.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.7953, kb_relative_information_score: -1653.73, mean_absolute_error: 0.2741, 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: 1.1376, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.35, root_relative_squared_error: 1.0088, scimark_benchmark: 1281.4229, usercpu_time_millis: 5890.541, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 5888.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.7623, kappa: 0.3253, kb_relative_information_score: -435.6512, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8777, predictive_accuracy: 0.7203, prior_entropy: 0.5848, recall: 0.7203, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.8759, scimark_benchmark: 1278.8661, usercpu_time_millis: 885.407, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 885.178,
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: 1250.561, usercpu_time_millis: 5.284, usercpu_time_millis_testing: 0.374, usercpu_time_millis_training: 4.91,
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: 1267.6889, usercpu_time_millis: 5.01, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 4.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, f_measure: 0.7953, kb_relative_information_score: 243.4836, mean_absolute_error: 0.2318, 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: 0.9622, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.9639, scimark_benchmark: 1271.1971, usercpu_time_millis: 5.242, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 4.928,
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: 1258.2813, usercpu_time_millis: 4.555, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 4.259,
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: 1275.2769, usercpu_time_millis: 3.866, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 3.642,
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: 1284.8093, usercpu_time_millis: 4.941, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 4.633,
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: 1258.2387, usercpu_time_millis: 3.388, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 3.142,
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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: 1243.9795, usercpu_time_millis: 4.621, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 4.318,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9709, kappa: 0.8774, kb_relative_information_score: 2662.3573, mean_absolute_error: 0.0387, 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: 0.1604, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.4441, scimark_benchmark: 1280.0205, usercpu_time_millis: 4384.777, usercpu_time_millis_testing: 0.897, usercpu_time_millis_training: 4383.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.97, kappa: 0.874, kb_relative_information_score: 2661.0139, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9699, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4566, scimark_benchmark: 1269.1689, usercpu_time_millis: 3585.252, usercpu_time_millis_testing: 0.878, usercpu_time_millis_training: 3584.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.9284, kappa: 0.6826, kb_relative_information_score: 1643.4912, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9315, predictive_accuracy: 0.9338, prior_entropy: 0.5848, recall: 0.9338, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2338, root_relative_squared_error: 0.6737, scimark_benchmark: 1281.2029, usercpu_time_millis: 5950.772, usercpu_time_millis_testing: 2.412, usercpu_time_millis_training: 5948.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7953, kb_relative_information_score: 17.0825, mean_absolute_error: 0.2398, 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: 0.9953, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.9965, scimark_benchmark: 1272.2455, usercpu_time_millis: 6166.91, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 6164.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.972, kappa: 0.8815, kb_relative_information_score: 2631.1101, mean_absolute_error: 0.0431, 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: 0.1791, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1496, root_relative_squared_error: 0.4312, scimark_benchmark: 1271.8865, usercpu_time_millis: 10405.144, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 10404.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.7953, kb_relative_information_score: 281.558, mean_absolute_error: 0.2084, 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: 0.8651, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.8759, scimark_benchmark: 1272.2629, usercpu_time_millis: 9386.479, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 9384.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.967, kappa: 0.8613, kb_relative_information_score: 2654.7443, mean_absolute_error: 0.0376, 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: 0.156, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.4707, scimark_benchmark: 1281.1511, usercpu_time_millis: 8098.025, usercpu_time_millis_testing: 0.824, usercpu_time_millis_training: 8097.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9503, kappa: 0.7832, kb_relative_information_score: 2119.7661, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9524, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3564, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.5674, scimark_benchmark: 1284.7598, usercpu_time_millis: 5653.137, usercpu_time_millis_testing: 2.73, usercpu_time_millis_training: 5650.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9551, kappa: 0.8037, kb_relative_information_score: 2201.4348, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9578, predictive_accuracy: 0.9576, prior_entropy: 0.5848, recall: 0.9576, relative_absolute_error: 0.3384, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.543, scimark_benchmark: 1276.29, usercpu_time_millis: 1281.379, usercpu_time_millis_testing: 1.642, usercpu_time_millis_training: 1279.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9289, kappa: 0.6794, kb_relative_information_score: 1608.2571, mean_absolute_error: 0.1359, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9382, predictive_accuracy: 0.9363, prior_entropy: 0.5848, recall: 0.9363, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.6454, scimark_benchmark: 1271.2711, usercpu_time_millis: 5777.134, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 5776.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.953, kappa: 0.7953, kb_relative_information_score: 2167.495, mean_absolute_error: 0.083, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.955, predictive_accuracy: 0.9555, prior_entropy: 0.5848, recall: 0.9555, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.553, scimark_benchmark: 1276.5943, usercpu_time_millis: 9008.24, usercpu_time_millis_testing: 3.891, usercpu_time_millis_training: 9004.349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9717, kappa: 0.8805, kb_relative_information_score: 2642.7648, mean_absolute_error: 0.0423, 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: 0.1755, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1503, root_relative_squared_error: 0.4332, scimark_benchmark: 1279.804, usercpu_time_millis: 1520.508, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 1519.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9679, kappa: 0.8651, kb_relative_information_score: 2673.804, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9678, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.1534, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.459, scimark_benchmark: 1277.69, usercpu_time_millis: 6473.952, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 6473.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9236, f_measure: 0.9337, kappa: 0.7066, kb_relative_information_score: 1533.6612, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9373, predictive_accuracy: 0.9387, prior_entropy: 0.5848, recall: 0.9387, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.6783, scimark_benchmark: 1256.9727, usercpu_time_millis: 15911.236, usercpu_time_millis_testing: 3.019, usercpu_time_millis_training: 15908.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.905, kappa: 0.5686, kb_relative_information_score: 968.3996, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9123, predictive_accuracy: 0.9158, prior_entropy: 0.5848, recall: 0.9158, relative_absolute_error: 0.6957, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.7972, scimark_benchmark: 1279.5618, usercpu_time_millis: 6435.552, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 6434.702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0344, kb_relative_information_score: -7406.541, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.0196, predictive_accuracy: 0.14, prior_entropy: 0.5848, recall: 0.14, relative_absolute_error: 2.0753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.5, root_relative_squared_error: 1.4411, scimark_benchmark: 1268.1984, usercpu_time_millis: 3837.134, usercpu_time_millis_testing: 1.95, usercpu_time_millis_training: 3835.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.9052, kappa: 0.5652, kb_relative_information_score: 864.8538, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9178, predictive_accuracy: 0.9177, prior_entropy: 0.5848, recall: 0.9177, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2768, root_relative_squared_error: 0.7979, scimark_benchmark: 1242.8524, usercpu_time_millis: 2528.205, usercpu_time_millis_testing: 1.307, usercpu_time_millis_training: 2526.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9591, kappa: 0.8217, kb_relative_information_score: 2338.3835, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9616, predictive_accuracy: 0.9613, prior_entropy: 0.5848, recall: 0.9613, relative_absolute_error: 0.3051, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5029, scimark_benchmark: 1268.2716, usercpu_time_millis: 2509.489, usercpu_time_millis_testing: 1.983, usercpu_time_millis_training: 2507.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9531, kappa: 0.7948, kb_relative_information_score: 2209.1623, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3486, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5347, scimark_benchmark: 1241.2369, usercpu_time_millis: 8305.705, usercpu_time_millis_testing: 0.844, usercpu_time_millis_training: 8304.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7953, kb_relative_information_score: -3706.3774, mean_absolute_error: 0.3296, 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: 1.3679, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.357, root_relative_squared_error: 1.0289, scimark_benchmark: 1284.0125, usercpu_time_millis: 368.354, usercpu_time_millis_testing: 1.007, usercpu_time_millis_training: 367.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9532, kappa: 0.7952, kb_relative_information_score: 2191.3408, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.5368, scimark_benchmark: 1269.3986, usercpu_time_millis: 8794.523, usercpu_time_millis_testing: 0.895, usercpu_time_millis_training: 8793.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9114, kappa: 0.6006, kb_relative_information_score: 1386.633, mean_absolute_error: 0.1388, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.917, predictive_accuracy: 0.9204, prior_entropy: 0.5848, recall: 0.9204, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.7226, scimark_benchmark: 1272.6892, usercpu_time_millis: 4070.248, usercpu_time_millis_testing: 0.853, usercpu_time_millis_training: 4069.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7982, f_measure: 0.9102, kappa: 0.5917, kb_relative_information_score: 761.8695, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9195, predictive_accuracy: 0.9207, prior_entropy: 0.5848, recall: 0.9207, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.8103, scimark_benchmark: 1237.1736, usercpu_time_millis: 9747.774, usercpu_time_millis_testing: 2.614, usercpu_time_millis_training: 9745.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, f_measure: 0.9136, kappa: 0.6066, kb_relative_information_score: 908.1126, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.924, predictive_accuracy: 0.9238, prior_entropy: 0.5848, recall: 0.9238, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2716, root_relative_squared_error: 0.7828, scimark_benchmark: 1289.4904, usercpu_time_millis: 4204.614, usercpu_time_millis_testing: 2.175, usercpu_time_millis_training: 4202.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9664, kappa: 0.8552, kb_relative_information_score: 2210.945, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9676, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.3614, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5014, scimark_benchmark: 1293.4064, usercpu_time_millis: 4105.546, usercpu_time_millis_testing: 2.59, usercpu_time_millis_training: 4102.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9666, kappa: 0.8594, kb_relative_information_score: 2613.4548, mean_absolute_error: 0.0405, 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: 0.168, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1657, root_relative_squared_error: 0.4776, scimark_benchmark: 1295.5146, usercpu_time_millis: 3275.557, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 3274.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9278, f_measure: 0.9228, kappa: 0.6503, kb_relative_information_score: 1579.6109, mean_absolute_error: 0.1251, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9331, predictive_accuracy: 0.9314, prior_entropy: 0.5848, recall: 0.9314, relative_absolute_error: 0.5191, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2343, root_relative_squared_error: 0.6752, scimark_benchmark: 1242.916, usercpu_time_millis: 4479.449, usercpu_time_millis_testing: 2.427, usercpu_time_millis_training: 4477.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9388, kappa: 0.7288, kb_relative_information_score: 1849.9771, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9435, predictive_accuracy: 0.9436, prior_entropy: 0.5848, recall: 0.9436, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.6183, scimark_benchmark: 1262.8313, usercpu_time_millis: 3605.173, usercpu_time_millis_testing: 0.959, usercpu_time_millis_training: 3604.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.7953, kb_relative_information_score: -1928.3756, mean_absolute_error: 0.2805, 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: 1.1644, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3503, root_relative_squared_error: 1.0095, scimark_benchmark: 1293.5069, usercpu_time_millis: 1461.629, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 1460.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9125, f_measure: 0.7953, kb_relative_information_score: -254.5343, mean_absolute_error: 0.2414, 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: 1.0021, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3147, root_relative_squared_error: 0.907, scimark_benchmark: 1267.8853, usercpu_time_millis: 4615.903, usercpu_time_millis_testing: 2.579, usercpu_time_millis_training: 4613.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.971, kappa: 0.8774, kb_relative_information_score: 2659.1908, mean_absolute_error: 0.0418, 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: 0.1733, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.4354, scimark_benchmark: 1230.1262, usercpu_time_millis: 9395.516, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 9394.721,

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