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: 0.8114, f_measure: 0.8655, kappa: 0.3622, kb_relative_information_score: 413.1367, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.895, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7349, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2957, root_relative_squared_error: 0.8523, scimark_benchmark: 1840.5827, usercpu_time_millis: 1371.121, usercpu_time_millis_testing: 22.242, usercpu_time_millis_training: 1348.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8671, kappa: 0.372, kb_relative_information_score: 678.7696, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8913, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7517, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8627, scimark_benchmark: 1845.1352, usercpu_time_millis: 1429.064, usercpu_time_millis_testing: 20.239, usercpu_time_millis_training: 1408.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.902, f_measure: 0.8781, kappa: 0.4293, kb_relative_information_score: 823.2316, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8974, predictive_accuracy: 0.8991, prior_entropy: 0.5848, recall: 0.8991, relative_absolute_error: 0.6616, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.8135, scimark_benchmark: 1858.0974, usercpu_time_millis: 1374.989, usercpu_time_millis_testing: 19.663, usercpu_time_millis_training: 1355.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.9457, kappa: 0.763, kb_relative_information_score: 2151.9544, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9476, predictive_accuracy: 0.9488, prior_entropy: 0.5848, recall: 0.9488, relative_absolute_error: 0.3397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.5701, scimark_benchmark: 1853.3841, usercpu_time_millis: 1369.611, usercpu_time_millis_testing: 18.024, usercpu_time_millis_training: 1351.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.8642, kappa: 0.3552, kb_relative_information_score: 451.9713, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.895, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7316, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.8543, scimark_benchmark: 1734.6706, usercpu_time_millis: 1493.142, usercpu_time_millis_testing: 24.691, usercpu_time_millis_training: 1468.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.8616, kappa: 0.3418, kb_relative_information_score: 434.0199, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8933, predictive_accuracy: 0.8905, prior_entropy: 0.5848, recall: 0.8905, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8626, scimark_benchmark: 1853.9121, usercpu_time_millis: 1490.787, usercpu_time_millis_testing: 22.521, usercpu_time_millis_training: 1468.266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 312.7791, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3005, root_relative_squared_error: 0.8662, scimark_benchmark: 1853.9849, usercpu_time_millis: 1493.426, usercpu_time_millis_testing: 23.807, usercpu_time_millis_training: 1469.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8954, kappa: 0.5164, kb_relative_information_score: 919.9364, mean_absolute_error: 0.1456, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9103, predictive_accuracy: 0.9106, prior_entropy: 0.5848, recall: 0.9106, relative_absolute_error: 0.6045, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.7578, scimark_benchmark: 1849.8294, usercpu_time_millis: 1385.388, usercpu_time_millis_testing: 21.323, usercpu_time_millis_training: 1364.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9732, kappa: 0.8865, kb_relative_information_score: 2425.7618, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9734, predictive_accuracy: 0.9738, prior_entropy: 0.5848, recall: 0.9738, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.4659, scimark_benchmark: 1853.454, usercpu_time_millis: 1451.925, usercpu_time_millis_testing: 23.241, usercpu_time_millis_training: 1428.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8218, f_measure: 0.8665, kappa: 0.3681, kb_relative_information_score: 434.4128, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.894, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.8482, scimark_benchmark: 1850.2875, usercpu_time_millis: 1505.586, usercpu_time_millis_testing: 24.231, usercpu_time_millis_training: 1481.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8777, kappa: 0.426, kb_relative_information_score: 616.6037, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8995, predictive_accuracy: 0.8994, prior_entropy: 0.5848, recall: 0.8994, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.281, root_relative_squared_error: 0.8099, scimark_benchmark: 1847.2753, usercpu_time_millis: 1441.796, usercpu_time_millis_testing: 22.666, usercpu_time_millis_training: 1419.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9355, kappa: 0.716, kb_relative_information_score: 1961.1992, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9382, predictive_accuracy: 0.9399, prior_entropy: 0.5848, recall: 0.9399, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.6192, scimark_benchmark: 1856.5802, usercpu_time_millis: 1431.86, usercpu_time_millis_testing: 17.513, usercpu_time_millis_training: 1414.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7704, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 290.1788, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.8654, scimark_benchmark: 1846.3057, usercpu_time_millis: 1535.364, usercpu_time_millis_testing: 23.971, usercpu_time_millis_training: 1511.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.8948, kappa: 0.5143, kb_relative_information_score: 1165.4319, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9081, predictive_accuracy: 0.9097, prior_entropy: 0.5848, recall: 0.9097, relative_absolute_error: 0.5917, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2635, root_relative_squared_error: 0.7594, scimark_benchmark: 1856.5802, usercpu_time_millis: 1436.534, usercpu_time_millis_testing: 19.453, usercpu_time_millis_training: 1417.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.8696, kappa: 0.3837, kb_relative_information_score: 529.9216, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.896, predictive_accuracy: 0.8948, prior_entropy: 0.5848, recall: 0.8948, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.8389, scimark_benchmark: 1853.454, usercpu_time_millis: 1534.175, usercpu_time_millis_testing: 24.976, usercpu_time_millis_training: 1509.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 242.8391, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8603, scimark_benchmark: 1857.5664, usercpu_time_millis: 1458.653, usercpu_time_millis_testing: 22.869, usercpu_time_millis_training: 1435.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9089, kappa: 0.5855, kb_relative_information_score: 1456.7396, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9178, predictive_accuracy: 0.9195, prior_entropy: 0.5848, recall: 0.9195, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.7136, scimark_benchmark: 1844.636, usercpu_time_millis: 1435.612, usercpu_time_millis_testing: 19.311, usercpu_time_millis_training: 1416.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7723, f_measure: 0.8625, kappa: 0.3441, kb_relative_information_score: 425.3875, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9022, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.8621, scimark_benchmark: 1850.8185, usercpu_time_millis: 1526.526, usercpu_time_millis_testing: 23.618, usercpu_time_millis_training: 1502.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.8815, kappa: 0.4455, kb_relative_information_score: 680.2287, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9021, predictive_accuracy: 0.9018, prior_entropy: 0.5848, recall: 0.9018, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.8038, scimark_benchmark: 1843.1261, usercpu_time_millis: 1441.022, usercpu_time_millis_testing: 21.232, usercpu_time_millis_training: 1419.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 269.6111, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7614, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2999, root_relative_squared_error: 0.8643, scimark_benchmark: 1853.9121, usercpu_time_millis: 1499.59, usercpu_time_millis_testing: 23.201, usercpu_time_millis_training: 1476.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.8629, kappa: 0.3481, kb_relative_information_score: 349.69, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8951, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7479, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.8598, scimark_benchmark: 1855.0232, usercpu_time_millis: 1449.433, usercpu_time_millis_testing: 22.835, usercpu_time_millis_training: 1426.598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 511.3987, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.8672, scimark_benchmark: 1857.1082, usercpu_time_millis: 1508.375, usercpu_time_millis_testing: 22.769, usercpu_time_millis_training: 1485.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.903, kappa: 0.5545, kb_relative_information_score: 1210.3014, mean_absolute_error: 0.1352, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9154, predictive_accuracy: 0.9158, prior_entropy: 0.5848, recall: 0.9158, relative_absolute_error: 0.561, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.7409, scimark_benchmark: 1811.2926, usercpu_time_millis: 1449.564, usercpu_time_millis_testing: 19.342, usercpu_time_millis_training: 1430.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 420.4436, mean_absolute_error: 0.1782, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8611, scimark_benchmark: 1851.8567, usercpu_time_millis: 1516.603, usercpu_time_millis_testing: 23.905, usercpu_time_millis_training: 1492.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.8676, kappa: 0.3733, kb_relative_information_score: 446.9927, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8947, predictive_accuracy: 0.8936, prior_entropy: 0.5848, recall: 0.8936, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.848, scimark_benchmark: 1853.9121, usercpu_time_millis: 1566.765, usercpu_time_millis_testing: 24.71, usercpu_time_millis_training: 1542.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9508, kappa: 0.7871, kb_relative_information_score: 2274.6391, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9519, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.5484, scimark_benchmark: 1851.3986, usercpu_time_millis: 1535.403, usercpu_time_millis_testing: 19.578, usercpu_time_millis_training: 1515.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8661, kappa: 0.3668, kb_relative_information_score: 631.0771, mean_absolute_error: 0.1767, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8906, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8611, scimark_benchmark: 1852.0126, usercpu_time_millis: 1527.007, usercpu_time_millis_testing: 21.885, usercpu_time_millis_training: 1505.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8204, f_measure: 0.8668, kappa: 0.3698, kb_relative_information_score: 549.0252, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8934, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.7113, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.295, root_relative_squared_error: 0.8501, scimark_benchmark: 1853.9121, usercpu_time_millis: 1597.581, usercpu_time_millis_testing: 23.639, usercpu_time_millis_training: 1573.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8797, f_measure: 0.8758, kappa: 0.4157, kb_relative_information_score: 576.0459, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8995, predictive_accuracy: 0.8984, prior_entropy: 0.5848, recall: 0.8984, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.284, root_relative_squared_error: 0.8185, scimark_benchmark: 1853.454, usercpu_time_millis: 1522.392, usercpu_time_millis_testing: 24.285, usercpu_time_millis_training: 1498.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.8681, kappa: 0.3778, kb_relative_information_score: 699.2638, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8906, predictive_accuracy: 0.893, prior_entropy: 0.5848, recall: 0.893, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2956, root_relative_squared_error: 0.8521, scimark_benchmark: 1805.5275, usercpu_time_millis: 1482.977, usercpu_time_millis_testing: 21.383, usercpu_time_millis_training: 1461.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8982, kappa: 0.5308, kb_relative_information_score: 914.7688, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9119, predictive_accuracy: 0.9125, prior_entropy: 0.5848, recall: 0.9125, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2618, root_relative_squared_error: 0.7544, scimark_benchmark: 1853.9121, usercpu_time_millis: 1586.918, usercpu_time_millis_testing: 23.957, usercpu_time_millis_training: 1562.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8836, kappa: 0.4567, kb_relative_information_score: 737.7771, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.9027, prior_entropy: 0.5848, recall: 0.9027, relative_absolute_error: 0.6505, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.275, root_relative_squared_error: 0.7925, scimark_benchmark: 1851.3986, usercpu_time_millis: 1545.655, usercpu_time_millis_testing: 24.251, usercpu_time_millis_training: 1521.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.8661, kappa: 0.3668, kb_relative_information_score: 617.4482, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8906, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7302, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.8607, scimark_benchmark: 1853.454, usercpu_time_millis: 1615.593, usercpu_time_millis_testing: 23.058, usercpu_time_millis_training: 1592.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8663, kappa: 0.3678, kb_relative_information_score: 494.8784, mean_absolute_error: 0.1719, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8915, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7133, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.8499, scimark_benchmark: 1734.2259, usercpu_time_millis: 1621.821, usercpu_time_millis_testing: 24.674, usercpu_time_millis_training: 1597.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.9104, kappa: 0.5912, kb_relative_information_score: 1350.69, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9213, predictive_accuracy: 0.9213, prior_entropy: 0.5848, recall: 0.9213, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.7065, scimark_benchmark: 1847.2233, usercpu_time_millis: 1586.768, usercpu_time_millis_testing: 22.505, usercpu_time_millis_training: 1564.263,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 449.3999, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8658, scimark_benchmark: 1810.2635, usercpu_time_millis: 1592.584, usercpu_time_millis_testing: 24.662, usercpu_time_millis_training: 1567.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 451.2675, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3007, root_relative_squared_error: 0.8667, scimark_benchmark: 1849.7595, usercpu_time_millis: 1712.988, usercpu_time_millis_testing: 27.288, usercpu_time_millis_training: 1685.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 346.3759, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.753, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.8634, scimark_benchmark: 1840.1715, usercpu_time_millis: 1601.902, usercpu_time_millis_testing: 24.713, usercpu_time_millis_training: 1577.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 237.1629, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9012, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8603, scimark_benchmark: 1853.3841, usercpu_time_millis: 1706.623, usercpu_time_millis_testing: 26.417, usercpu_time_millis_training: 1680.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 501.2117, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3008, root_relative_squared_error: 0.8668, scimark_benchmark: 1853.9849, usercpu_time_millis: 1645.237, usercpu_time_millis_testing: 25.196, usercpu_time_millis_training: 1620.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.8625, kappa: 0.3441, kb_relative_information_score: 244.0551, mean_absolute_error: 0.1831, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9022, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.862, scimark_benchmark: 1852.859, usercpu_time_millis: 1642.923, usercpu_time_millis_testing: 26.307, usercpu_time_millis_training: 1616.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.913, kappa: 0.605, kb_relative_information_score: 1538.9557, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9219, predictive_accuracy: 0.9228, prior_entropy: 0.5848, recall: 0.9228, relative_absolute_error: 0.4943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.6934, scimark_benchmark: 1850.2875, usercpu_time_millis: 1667.335, usercpu_time_millis_testing: 23.062, usercpu_time_millis_training: 1644.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 293.1458, mean_absolute_error: 0.1838, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.8655, scimark_benchmark: 1855.4813, usercpu_time_millis: 1644.572, usercpu_time_millis_testing: 26.041, usercpu_time_millis_training: 1618.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 305.4344, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8658, scimark_benchmark: 1734.2259, usercpu_time_millis: 1680.236, usercpu_time_millis_testing: 26.75, usercpu_time_millis_training: 1653.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.8629, kappa: 0.3489, kb_relative_information_score: 488.6504, mean_absolute_error: 0.1769, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8933, predictive_accuracy: 0.8911, prior_entropy: 0.5848, recall: 0.8911, relative_absolute_error: 0.7341, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.8623, scimark_benchmark: 1853.9849, usercpu_time_millis: 1653.795, usercpu_time_millis_testing: 24.431, usercpu_time_millis_training: 1629.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7804, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 393.9931, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.8593, scimark_benchmark: 1734.2699, usercpu_time_millis: 1685.04, usercpu_time_millis_testing: 25.544, usercpu_time_millis_training: 1659.496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7743, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 418.8602, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.8608, scimark_benchmark: 1853.454, usercpu_time_millis: 1630.769, usercpu_time_millis_testing: 25.079, usercpu_time_millis_training: 1605.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8683, kappa: 0.3769, kb_relative_information_score: 492.2793, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.896, predictive_accuracy: 0.8942, prior_entropy: 0.5848, recall: 0.8942, relative_absolute_error: 0.7175, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8447, scimark_benchmark: 1850.2875, usercpu_time_millis: 1645.48, usercpu_time_millis_testing: 26.594, usercpu_time_millis_training: 1618.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8748, kappa: 0.4107, kb_relative_information_score: 659.3627, mean_absolute_error: 0.1633, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8988, predictive_accuracy: 0.8978, prior_entropy: 0.5848, recall: 0.8978, relative_absolute_error: 0.6778, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2848, root_relative_squared_error: 0.8207, scimark_benchmark: 1851.8567, usercpu_time_millis: 1617.122, usercpu_time_millis_testing: 24.389, usercpu_time_millis_training: 1592.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 386.6522, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.86, scimark_benchmark: 1855.4813, usercpu_time_millis: 1638.202, usercpu_time_millis_testing: 24.918, usercpu_time_millis_training: 1613.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 280.3084, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3001, root_relative_squared_error: 0.865, scimark_benchmark: 1731.9625, usercpu_time_millis: 1751.656, usercpu_time_millis_testing: 28.014, usercpu_time_millis_training: 1723.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7864, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 386.517, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.86, scimark_benchmark: 1850.2875, usercpu_time_millis: 1743.183, usercpu_time_millis_testing: 27.049, usercpu_time_millis_training: 1716.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 244.6177, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9025, predictive_accuracy: 0.8927, prior_entropy: 0.5848, recall: 0.8927, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8616, scimark_benchmark: 1849.8294, usercpu_time_millis: 1733.209, usercpu_time_millis_testing: 26.584, usercpu_time_millis_training: 1706.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 386.9741, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2983, root_relative_squared_error: 0.8598, scimark_benchmark: 1853.454, usercpu_time_millis: 1738.467, usercpu_time_millis_testing: 26.209, usercpu_time_millis_training: 1712.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.8623, kappa: 0.3447, kb_relative_information_score: 411.0194, mean_absolute_error: 0.177, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8967, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.862, scimark_benchmark: 1848.388, usercpu_time_millis: 1629.717, usercpu_time_millis_testing: 24.4, usercpu_time_millis_training: 1605.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 429.96, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.8631, scimark_benchmark: 1850.8185, usercpu_time_millis: 1702.112, usercpu_time_millis_testing: 26.482, usercpu_time_millis_training: 1675.63,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.9107, kappa: 0.5923, kb_relative_information_score: 1163.9725, mean_absolute_error: 0.1309, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9218, predictive_accuracy: 0.9216, prior_entropy: 0.5848, recall: 0.9216, relative_absolute_error: 0.5433, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.7154, scimark_benchmark: 1855.4813, usercpu_time_millis: 1704.857, usercpu_time_millis_testing: 24.536, usercpu_time_millis_training: 1680.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 455.143, mean_absolute_error: 0.1795, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8651, scimark_benchmark: 1851.8567, usercpu_time_millis: 1714.077, usercpu_time_millis_testing: 26.609, usercpu_time_millis_training: 1687.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7567, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 510.1768, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.8672, scimark_benchmark: 1855.0232, usercpu_time_millis: 1772.097, usercpu_time_millis_testing: 27.053, usercpu_time_millis_training: 1745.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.8623, kappa: 0.3439, kb_relative_information_score: 301.6953, mean_absolute_error: 0.1811, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8988, predictive_accuracy: 0.8917, prior_entropy: 0.5848, recall: 0.8917, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8603, scimark_benchmark: 1846.6923, usercpu_time_millis: 1681.8, usercpu_time_millis_testing: 26.348, usercpu_time_millis_training: 1655.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8703, kappa: 0.3873, kb_relative_information_score: 620.6768, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8973, predictive_accuracy: 0.8954, prior_entropy: 0.5848, recall: 0.8954, relative_absolute_error: 0.6928, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8358, scimark_benchmark: 1853.9121, usercpu_time_millis: 1743.365, usercpu_time_millis_testing: 25.66, usercpu_time_millis_training: 1717.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7916, f_measure: 0.8623, kappa: 0.3447, kb_relative_information_score: 399.3771, mean_absolute_error: 0.1771, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8967, predictive_accuracy: 0.8914, prior_entropy: 0.5848, recall: 0.8914, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8614, scimark_benchmark: 1857.0384, usercpu_time_millis: 1731.846, usercpu_time_millis_testing: 26.171, usercpu_time_millis_training: 1705.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 437.4265, mean_absolute_error: 0.1792, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9019, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.864, scimark_benchmark: 1850.8185, usercpu_time_millis: 1691.539, usercpu_time_millis_testing: 26.194, usercpu_time_millis_training: 1665.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8034, f_measure: 0.8627, kappa: 0.3487, kb_relative_information_score: 524.9778, mean_absolute_error: 0.1765, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8905, predictive_accuracy: 0.8905, prior_entropy: 0.5848, recall: 0.8905, relative_absolute_error: 0.7324, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8616, scimark_benchmark: 1850.2875, usercpu_time_millis: 1787.406, usercpu_time_millis_testing: 25.47, usercpu_time_millis_training: 1761.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 285.4315, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9, predictive_accuracy: 0.892, prior_entropy: 0.5848, recall: 0.892, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8602, scimark_benchmark: 1849.3014, usercpu_time_millis: 1750.455, usercpu_time_millis_testing: 26.858, usercpu_time_millis_training: 1723.597,

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