OpenML
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: 0.8247, f_measure: 0.9097, kappa: 0.5849, kb_relative_information_score: 971.9424, mean_absolute_error: 0.1617, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9252, predictive_accuracy: 0.9219, prior_entropy: 0.5848, recall: 0.9219, relative_absolute_error: 0.6711, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.7856, scimark_benchmark: 1304.5807, usercpu_time_millis: 5397.132, usercpu_time_millis_testing: 2.206, usercpu_time_millis_training: 5394.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9117, kappa: 0.6016, kb_relative_information_score: 1393.1607, mean_absolute_error: 0.1385, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9175, predictive_accuracy: 0.9207, prior_entropy: 0.5848, recall: 0.9207, relative_absolute_error: 0.5747, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.25, root_relative_squared_error: 0.7206, scimark_benchmark: 1306.7834, usercpu_time_millis: 3465.25, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 3464.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.971, kappa: 0.8762, kb_relative_information_score: 2567.8706, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9718, predictive_accuracy: 0.9719, prior_entropy: 0.5848, recall: 0.9719, relative_absolute_error: 0.2165, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.4424, scimark_benchmark: 1307.6089, usercpu_time_millis: 3253.201, usercpu_time_millis_testing: 0.808, usercpu_time_millis_training: 3252.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.9647, kappa: 0.8476, kb_relative_information_score: 2450.0873, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.5848, recall: 0.9661, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1656, root_relative_squared_error: 0.4773, scimark_benchmark: 1284.3662, usercpu_time_millis: 4893.35, usercpu_time_millis_testing: 2.541, usercpu_time_millis_training: 4890.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8454, f_measure: 0.9054, kappa: 0.5715, kb_relative_information_score: 1202.3894, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9118, predictive_accuracy: 0.9158, prior_entropy: 0.5848, recall: 0.9158, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2649, root_relative_squared_error: 0.7633, scimark_benchmark: 1285.0938, usercpu_time_millis: 4509.743, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 4508.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9716, kappa: 0.8798, kb_relative_information_score: 2631.8991, mean_absolute_error: 0.0443, 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: 0.1837, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.4321, scimark_benchmark: 1290.1174, usercpu_time_millis: 3791.839, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 3790.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7851, f_measure: 0.7953, kb_relative_information_score: 133.5772, mean_absolute_error: 0.2291, 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: 0.9508, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.9285, scimark_benchmark: 1288.7436, usercpu_time_millis: 205.719, usercpu_time_millis_testing: 1.033, usercpu_time_millis_training: 204.686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9574, kappa: 0.8166, kb_relative_information_score: 2227.5789, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9583, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.3089, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.5405, scimark_benchmark: 1300.0077, usercpu_time_millis: 4208.206, usercpu_time_millis_testing: 2.063, usercpu_time_millis_training: 4206.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.8985, kappa: 0.5434, kb_relative_information_score: 902.7446, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.9085, prior_entropy: 0.5848, recall: 0.9085, relative_absolute_error: 0.6992, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.8198, scimark_benchmark: 1291.7998, usercpu_time_millis: 9328.705, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 9327.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.9125, kappa: 0.6007, kb_relative_information_score: 1127.0183, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9239, predictive_accuracy: 0.9231, prior_entropy: 0.5848, recall: 0.9231, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2639, root_relative_squared_error: 0.7606, scimark_benchmark: 1295.2233, usercpu_time_millis: 7401.546, usercpu_time_millis_testing: 2.429, usercpu_time_millis_training: 7399.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9743, kappa: 0.8901, kb_relative_information_score: 2660.1629, mean_absolute_error: 0.0476, 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: 0.1975, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4216, scimark_benchmark: 1265.6346, usercpu_time_millis: 8275.332, usercpu_time_millis_testing: 4.589, usercpu_time_millis_training: 8270.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9506, kappa: 0.7834, kb_relative_information_score: 2124.3214, mean_absolute_error: 0.0904, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9537, predictive_accuracy: 0.9536, prior_entropy: 0.5848, recall: 0.9536, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1927, root_relative_squared_error: 0.5555, scimark_benchmark: 1263.6323, usercpu_time_millis: 6711.747, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 6710.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9416, kappa: 0.743, kb_relative_information_score: 1954.6324, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9445, predictive_accuracy: 0.9454, prior_entropy: 0.5848, recall: 0.9454, relative_absolute_error: 0.3938, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6039, scimark_benchmark: 1285.2682, usercpu_time_millis: 2518.584, usercpu_time_millis_testing: 1.522, usercpu_time_millis_training: 2517.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.9494, kappa: 0.7769, kb_relative_information_score: 2053.6132, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9541, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.548, scimark_benchmark: 1293.1405, usercpu_time_millis: 9926.056, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 9925.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.971, kappa: 0.8778, kb_relative_information_score: 2667.6195, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9709, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4476, scimark_benchmark: 1297.773, usercpu_time_millis: 10380.976, usercpu_time_millis_testing: 0.82, usercpu_time_millis_training: 10380.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9689, kappa: 0.8693, kb_relative_information_score: 2660.5996, mean_absolute_error: 0.0377, 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: 0.1563, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1596, root_relative_squared_error: 0.4601, scimark_benchmark: 1296.2438, usercpu_time_millis: 9330.418, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 9329.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9604, kappa: 0.8277, kb_relative_information_score: 2306.3078, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9625, prior_entropy: 0.5848, recall: 0.9625, relative_absolute_error: 0.3324, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.4916, scimark_benchmark: 1275.5915, usercpu_time_millis: 8756.807, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 8755.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9625, kappa: 0.8398, kb_relative_information_score: 2430.2506, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.963, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.4988, scimark_benchmark: 1301.3422, usercpu_time_millis: 2372.684, usercpu_time_millis_testing: 1.778, usercpu_time_millis_training: 2370.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7953, kb_relative_information_score: -139.1349, mean_absolute_error: 0.243, 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: 1.0084, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.9945, scimark_benchmark: 1276.681, usercpu_time_millis: 1181.471, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 1180.1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9188, kappa: 0.6287, kb_relative_information_score: 1507.753, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9329, predictive_accuracy: 0.9289, prior_entropy: 0.5848, recall: 0.9289, relative_absolute_error: 0.5867, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2404, root_relative_squared_error: 0.6928, scimark_benchmark: 1264.5368, usercpu_time_millis: 4252.87, usercpu_time_millis_testing: 2.375, usercpu_time_millis_training: 4250.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.9474, kappa: 0.7689, kb_relative_information_score: 2074.9307, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9509, predictive_accuracy: 0.9509, prior_entropy: 0.5848, recall: 0.9509, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1987, root_relative_squared_error: 0.5726, scimark_benchmark: 1285.2027, usercpu_time_millis: 8554.921, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 8554.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9492, kappa: 0.7768, kb_relative_information_score: 2136.8122, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9525, predictive_accuracy: 0.9524, prior_entropy: 0.5848, recall: 0.9524, relative_absolute_error: 0.3714, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.553, scimark_benchmark: 1256.0347, usercpu_time_millis: 2269.113, usercpu_time_millis_testing: 1.09, usercpu_time_millis_training: 2268.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.7953, kb_relative_information_score: -3234.9551, mean_absolute_error: 0.3112, 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: 1.2915, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.9613, scimark_benchmark: 1291.8416, usercpu_time_millis: 4620.479, usercpu_time_millis_testing: 3.998, usercpu_time_millis_training: 4616.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7953, kb_relative_information_score: -129.1146, mean_absolute_error: 0.2335, 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: 0.9693, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.9091, scimark_benchmark: 1299.1437, usercpu_time_millis: 2248.429, usercpu_time_millis_testing: 1.587, usercpu_time_millis_training: 2246.842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.9211, kappa: 0.6462, kb_relative_information_score: 1547.5629, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.927, predictive_accuracy: 0.9286, prior_entropy: 0.5848, recall: 0.9286, relative_absolute_error: 0.5362, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.69, scimark_benchmark: 1292.5849, usercpu_time_millis: 7513.111, usercpu_time_millis_testing: 1.152, usercpu_time_millis_training: 7511.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.7953, kb_relative_information_score: -81.9545, mean_absolute_error: 0.2261, 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: 0.9383, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.9468, scimark_benchmark: 1263.0343, usercpu_time_millis: 6541.937, usercpu_time_millis_testing: 2.537, usercpu_time_millis_training: 6539.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9664, kappa: 0.8557, kb_relative_information_score: 2483.4884, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9675, predictive_accuracy: 0.9677, prior_entropy: 0.5848, recall: 0.9677, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.4656, scimark_benchmark: 1272.902, usercpu_time_millis: 2086.641, usercpu_time_millis_testing: 1.122, usercpu_time_millis_training: 2085.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9526, kappa: 0.7941, kb_relative_information_score: 2119.3642, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9541, predictive_accuracy: 0.9549, prior_entropy: 0.5848, recall: 0.9549, relative_absolute_error: 0.349, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.5581, scimark_benchmark: 1275.0862, usercpu_time_millis: 869.547, usercpu_time_millis_testing: 1.133, usercpu_time_millis_training: 868.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9766, kappa: 0.9007, kb_relative_information_score: 2714.3275, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9769, predictive_accuracy: 0.9771, prior_entropy: 0.5848, recall: 0.9771, relative_absolute_error: 0.1686, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4136, scimark_benchmark: 1297.182, usercpu_time_millis: 3729.377, usercpu_time_millis_testing: 2.611, usercpu_time_millis_training: 3726.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9684, kappa: 0.8664, kb_relative_information_score: 2623.9579, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9683, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.1694, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.4633, scimark_benchmark: 1270.7533, usercpu_time_millis: 3121.522, usercpu_time_millis_testing: 0.861, usercpu_time_millis_training: 3120.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.915, kappa: 0.6175, kb_relative_information_score: 1468.7803, mean_absolute_error: 0.1341, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9208, predictive_accuracy: 0.9235, prior_entropy: 0.5848, recall: 0.9235, relative_absolute_error: 0.5567, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.7045, scimark_benchmark: 1291.5019, usercpu_time_millis: 9994.912, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 9994.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9705, kappa: 0.874, kb_relative_information_score: 2646.2131, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.971, predictive_accuracy: 0.9713, prior_entropy: 0.5848, recall: 0.9713, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.4269, scimark_benchmark: 1262.048, usercpu_time_millis: 7406.83, usercpu_time_millis_testing: 1.118, usercpu_time_millis_training: 7405.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.976, kappa: 0.8985, kb_relative_information_score: 2676.8356, mean_absolute_error: 0.0422, 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: 0.1753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1477, root_relative_squared_error: 0.4256, scimark_benchmark: 1290.4989, usercpu_time_millis: 5463.215, usercpu_time_millis_testing: 1.563, usercpu_time_millis_training: 5461.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.964, kappa: 0.8492, kb_relative_information_score: 2617.9733, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9638, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.1613, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.4967, scimark_benchmark: 1266.6952, usercpu_time_millis: 9649.877, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 9649.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7516, f_measure: 0.8996, kappa: 0.5475, kb_relative_information_score: 854.507, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9029, predictive_accuracy: 0.9097, prior_entropy: 0.5848, recall: 0.9097, relative_absolute_error: 0.7152, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.8339, scimark_benchmark: 1286.8533, usercpu_time_millis: 8203.749, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 8202.781,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.9107, kappa: 0.5975, kb_relative_information_score: 1312.6328, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9162, predictive_accuracy: 0.9198, prior_entropy: 0.5848, recall: 0.9198, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7384, scimark_benchmark: 1277.8132, usercpu_time_millis: 3689.045, usercpu_time_millis_testing: 0.856, usercpu_time_millis_training: 3688.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7554, f_measure: 0.8988, kappa: 0.5444, kb_relative_information_score: 901.1222, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9016, predictive_accuracy: 0.9088, prior_entropy: 0.5848, recall: 0.9088, relative_absolute_error: 0.7015, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2824, root_relative_squared_error: 0.8139, scimark_benchmark: 1304.1461, usercpu_time_millis: 4903.3, usercpu_time_millis_testing: 0.85, usercpu_time_millis_training: 4902.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9444, kappa: 0.7535, kb_relative_information_score: 1596.2606, mean_absolute_error: 0.1461, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9499, predictive_accuracy: 0.9488, prior_entropy: 0.5848, recall: 0.9488, relative_absolute_error: 0.6065, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.6194, scimark_benchmark: 1315.7805, usercpu_time_millis: 6192.205, usercpu_time_millis_testing: 2.929, usercpu_time_millis_training: 6189.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.9423, kappa: 0.7455, kb_relative_information_score: 2002.729, mean_absolute_error: 0.0929, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9459, predictive_accuracy: 0.9463, prior_entropy: 0.5848, recall: 0.9463, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.205, root_relative_squared_error: 0.5908, scimark_benchmark: 1282.8954, usercpu_time_millis: 4157.228, usercpu_time_millis_testing: 2.194, usercpu_time_millis_training: 4155.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.7953, kb_relative_information_score: -759.4192, mean_absolute_error: 0.255, 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: 1.0584, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3475, root_relative_squared_error: 1.0016, scimark_benchmark: 1285.5401, usercpu_time_millis: 3895.585, usercpu_time_millis_testing: 1.936, usercpu_time_millis_training: 3893.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.963, kappa: 0.8403, kb_relative_information_score: 2441.3187, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.5848, recall: 0.9646, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.4794, scimark_benchmark: 1312.597, usercpu_time_millis: 2186.229, usercpu_time_millis_testing: 1.102, usercpu_time_millis_training: 2185.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.9569, kappa: 0.8129, kb_relative_information_score: 2223.5847, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.5848, recall: 0.9591, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.5348, scimark_benchmark: 1312.6495, usercpu_time_millis: 5865.549, usercpu_time_millis_testing: 0.879, usercpu_time_millis_training: 5864.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9708, kappa: 0.8755, kb_relative_information_score: 2656.7513, mean_absolute_error: 0.0449, 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: 0.1864, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4255, scimark_benchmark: 1305.8636, usercpu_time_millis: 6228.905, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 6228.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.7953, kb_relative_information_score: 392.5503, mean_absolute_error: 0.2267, 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: 0.9408, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.9323, scimark_benchmark: 1299.1853, usercpu_time_millis: 5463.826, usercpu_time_millis_testing: 2.947, usercpu_time_millis_training: 5460.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9686, kappa: 0.8682, kb_relative_information_score: 2652.4623, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9684, predictive_accuracy: 0.9689, prior_entropy: 0.5848, recall: 0.9689, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.462, scimark_benchmark: 1290.3186, usercpu_time_millis: 5259.171, usercpu_time_millis_testing: 0.974, usercpu_time_millis_training: 5258.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8021, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1128.2618, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.272, root_relative_squared_error: 0.7839, scimark_benchmark: 1302.0829, usercpu_time_millis: 9405.199, usercpu_time_millis_testing: 0.951, usercpu_time_millis_training: 9404.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9688, kappa: 0.8662, kb_relative_information_score: 2304.1134, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.4674, scimark_benchmark: 1308.0412, usercpu_time_millis: 1217.387, usercpu_time_millis_testing: 0.925, usercpu_time_millis_training: 1216.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9185, kappa: 0.6275, kb_relative_information_score: 1250.2163, mean_absolute_error: 0.1652, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9323, predictive_accuracy: 0.9286, prior_entropy: 0.5848, recall: 0.9286, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.6952, scimark_benchmark: 1278.2136, usercpu_time_millis: 7991.828, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 7990.796,
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: 1287.3132, usercpu_time_millis: 1715.497, usercpu_time_millis_testing: 1.371, usercpu_time_millis_training: 1714.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9688, kappa: 0.8662, kb_relative_information_score: 2544.0107, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9696, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1564, root_relative_squared_error: 0.4506, scimark_benchmark: 1301.37, usercpu_time_millis: 7592.51, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 7591.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9216, f_measure: 0.9185, kappa: 0.6341, kb_relative_information_score: 1517.9615, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9238, predictive_accuracy: 0.9262, prior_entropy: 0.5848, recall: 0.9262, relative_absolute_error: 0.5442, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2412, root_relative_squared_error: 0.6953, scimark_benchmark: 1300.1324, usercpu_time_millis: 10162.697, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 10161.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9698, kappa: 0.8711, kb_relative_information_score: 2581.4711, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9704, predictive_accuracy: 0.9707, prior_entropy: 0.5848, recall: 0.9707, relative_absolute_error: 0.2075, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1579, root_relative_squared_error: 0.4551, scimark_benchmark: 1305.7233, usercpu_time_millis: 6856.611, usercpu_time_millis_testing: 3.555, usercpu_time_millis_training: 6853.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.7953, kb_relative_information_score: -4439.4302, mean_absolute_error: 0.3557, 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: 1.4765, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3755, root_relative_squared_error: 1.0824, scimark_benchmark: 1278.3384, usercpu_time_millis: 543.414, usercpu_time_millis_testing: 1.268, usercpu_time_millis_training: 542.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9708, kappa: 0.8762, kb_relative_information_score: 2640.3555, mean_absolute_error: 0.0428, 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: 0.1775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.151, root_relative_squared_error: 0.4353, scimark_benchmark: 1287.026, usercpu_time_millis: 8556.022, usercpu_time_millis_testing: 1.017, usercpu_time_millis_training: 8555.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9333, kappa: 0.6998, kb_relative_information_score: 1381.1305, mean_absolute_error: 0.1636, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9423, predictive_accuracy: 0.9399, prior_entropy: 0.5848, recall: 0.9399, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.236, root_relative_squared_error: 0.6801, scimark_benchmark: 1276.5485, usercpu_time_millis: 14373.71, usercpu_time_millis_testing: 4.601, usercpu_time_millis_training: 14369.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, f_measure: 0.9391, kappa: 0.7294, kb_relative_information_score: 1828.2134, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9441, predictive_accuracy: 0.9439, prior_entropy: 0.5848, recall: 0.9439, relative_absolute_error: 0.4569, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.6313, scimark_benchmark: 1298.4822, usercpu_time_millis: 6677.035, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 6676.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.917, f_measure: 0.7953, kb_relative_information_score: -6205.9912, mean_absolute_error: 0.4327, 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: 1.7958, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.2549, scimark_benchmark: 1288.139, usercpu_time_millis: 109.463, usercpu_time_millis_testing: 0.902, usercpu_time_millis_training: 108.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.9294, kappa: 0.6838, kb_relative_information_score: 1609.8618, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.936, predictive_accuracy: 0.936, prior_entropy: 0.5848, recall: 0.936, relative_absolute_error: 0.4854, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.6675, scimark_benchmark: 1297.7621, usercpu_time_millis: 5876.716, usercpu_time_millis_testing: 2.796, usercpu_time_millis_training: 5873.92,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.857, f_measure: 0.9109, kappa: 0.5993, kb_relative_information_score: 1282.1102, mean_absolute_error: 0.1443, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.916, predictive_accuracy: 0.9198, prior_entropy: 0.5848, recall: 0.9198, relative_absolute_error: 0.5991, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.7473, scimark_benchmark: 1289.2305, usercpu_time_millis: 2442.065, usercpu_time_millis_testing: 1.084, usercpu_time_millis_training: 2440.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9695, kappa: 0.8719, kb_relative_information_score: 2662.7213, mean_absolute_error: 0.0377, 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: 0.1566, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.4597, scimark_benchmark: 1304.6129, usercpu_time_millis: 2247.631, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 2246.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9674, kappa: 0.8602, kb_relative_information_score: 2509.7993, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9684, predictive_accuracy: 0.9686, prior_entropy: 0.5848, recall: 0.9686, relative_absolute_error: 0.2482, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.4589, scimark_benchmark: 1307.2045, usercpu_time_millis: 3951.159, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 3950.297,
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: 1281.1275, usercpu_time_millis: 6066.495, usercpu_time_millis_testing: 2.228, usercpu_time_millis_training: 6064.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.9046, kappa: 0.5674, kb_relative_information_score: 1099.7296, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9111, predictive_accuracy: 0.9152, prior_entropy: 0.5848, recall: 0.9152, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.7891, scimark_benchmark: 1263.2443, usercpu_time_millis: 8668.095, usercpu_time_millis_testing: 0.859, usercpu_time_millis_training: 8667.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9612, kappa: 0.8315, kb_relative_information_score: 2358.0438, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9633, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.2949, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.4981, scimark_benchmark: 1306.1666, usercpu_time_millis: 2108.454, usercpu_time_millis_testing: 2.204, usercpu_time_millis_training: 2106.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9443, kappa: 0.7542, kb_relative_information_score: 1959.5954, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9481, predictive_accuracy: 0.9482, prior_entropy: 0.5848, recall: 0.9482, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5958, scimark_benchmark: 1275.8893, usercpu_time_millis: 7975.301, usercpu_time_millis_testing: 0.822, usercpu_time_millis_training: 7974.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7953, kb_relative_information_score: -2458.1873, mean_absolute_error: 0.2942, 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: 1.2211, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3513, root_relative_squared_error: 1.0124, scimark_benchmark: 1298.1237, usercpu_time_millis: 3972.961, usercpu_time_millis_testing: 1.897, usercpu_time_millis_training: 3971.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5519, f_measure: 0.7953, kb_relative_information_score: -5106.4605, mean_absolute_error: 0.3887, 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: 1.6135, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.1714, scimark_benchmark: 1307.0694, usercpu_time_millis: 279.779, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 278.941,

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