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: 0.9273, f_measure: 0.9457, kappa: 0.7602, kb_relative_information_score: 2077.549, mean_absolute_error: 0.0928, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9503, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.3852, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.6073, scimark_benchmark: 1288.9442, usercpu_time_millis: 1527.173, usercpu_time_millis_testing: 29.204, usercpu_time_millis_training: 1497.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8109, f_measure: 0.8643, kappa: 0.3573, kb_relative_information_score: 574.3185, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.89, predictive_accuracy: 0.8911, prior_entropy: 0.5848, recall: 0.8911, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.8625, scimark_benchmark: 1287.8522, usercpu_time_millis: 3715.055, usercpu_time_millis_testing: 57.066, usercpu_time_millis_training: 3657.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.9571, kappa: 0.8133, kb_relative_information_score: 2328.748, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9594, prior_entropy: 0.5848, recall: 0.9594, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.5382, scimark_benchmark: 1270.2432, usercpu_time_millis: 1320.053, usercpu_time_millis_testing: 26.774, usercpu_time_millis_training: 1293.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9311, f_measure: 0.953, kappa: 0.7931, kb_relative_information_score: 2234.3697, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9571, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3496, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.5503, scimark_benchmark: 1291.6063, usercpu_time_millis: 1511.447, usercpu_time_millis_testing: 29.601, usercpu_time_millis_training: 1481.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9635, kappa: 0.8417, kb_relative_information_score: 2433.371, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9656, predictive_accuracy: 0.9652, prior_entropy: 0.5848, recall: 0.9652, relative_absolute_error: 0.2746, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.498, scimark_benchmark: 1259.5747, usercpu_time_millis: 1689.29, usercpu_time_millis_testing: 29.624, usercpu_time_millis_training: 1659.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8676, kappa: 0.3733, kb_relative_information_score: 470.1464, mean_absolute_error: 0.1737, 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: 0.7208, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.8477, scimark_benchmark: 1284.5195, usercpu_time_millis: 3595.351, usercpu_time_millis_testing: 57.443, usercpu_time_millis_training: 3537.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, f_measure: 0.8666, kappa: 0.3694, kb_relative_information_score: 655.2406, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8909, predictive_accuracy: 0.8923, prior_entropy: 0.5848, recall: 0.8923, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.861, scimark_benchmark: 1304.9686, usercpu_time_millis: 3661.026, usercpu_time_millis_testing: 57.003, usercpu_time_millis_training: 3604.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9659, kappa: 0.8542, kb_relative_information_score: 2506.2279, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9666, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1687, root_relative_squared_error: 0.4863, scimark_benchmark: 1259.2477, usercpu_time_millis: 1202.504, usercpu_time_millis_testing: 22.652, usercpu_time_millis_training: 1179.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.9267, kappa: 0.6674, kb_relative_information_score: 1655.1426, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9387, predictive_accuracy: 0.935, prior_entropy: 0.5848, recall: 0.935, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.6911, scimark_benchmark: 1290.7778, usercpu_time_millis: 1451.186, usercpu_time_millis_testing: 28.552, usercpu_time_millis_training: 1422.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9547, kappa: 0.8044, kb_relative_information_score: 2267.7461, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9558, predictive_accuracy: 0.9567, prior_entropy: 0.5848, recall: 0.9567, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.5319, scimark_benchmark: 1258.8688, usercpu_time_millis: 555.582, usercpu_time_millis_testing: 15.16, usercpu_time_millis_training: 540.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9376, f_measure: 0.9218, kappa: 0.648, kb_relative_information_score: 1420.1671, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9287, predictive_accuracy: 0.9296, prior_entropy: 0.5848, recall: 0.9296, relative_absolute_error: 0.4821, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.6642, scimark_benchmark: 1255.5875, usercpu_time_millis: 3205.056, usercpu_time_millis_testing: 49.41, usercpu_time_millis_training: 3155.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.966, kappa: 0.8547, kb_relative_information_score: 2499.4177, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9666, predictive_accuracy: 0.9671, prior_entropy: 0.5848, recall: 0.9671, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.4898, scimark_benchmark: 1275.8063, usercpu_time_millis: 1130.796, usercpu_time_millis_testing: 23.043, usercpu_time_millis_training: 1107.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.9428, kappa: 0.7506, kb_relative_information_score: 2157.7242, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9445, predictive_accuracy: 0.946, prior_entropy: 0.5848, recall: 0.946, relative_absolute_error: 0.3439, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.5767, scimark_benchmark: 1293.6049, usercpu_time_millis: 2897.85, usercpu_time_millis_testing: 41.374, usercpu_time_millis_training: 2856.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9621, kappa: 0.8355, kb_relative_information_score: 2378.7428, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.294, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1772, root_relative_squared_error: 0.5107, scimark_benchmark: 1261.9153, usercpu_time_millis: 1726.999, usercpu_time_millis_testing: 29.077, usercpu_time_millis_training: 1697.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 365.1547, mean_absolute_error: 0.1821, 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: 0.7558, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8652, scimark_benchmark: 1289.6384, usercpu_time_millis: 3617.217, usercpu_time_millis_testing: 58.583, usercpu_time_millis_training: 3558.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9565, kappa: 0.8126, kb_relative_information_score: 2284.1843, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9573, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.5277, scimark_benchmark: 1288.8935, usercpu_time_millis: 557.267, usercpu_time_millis_testing: 14.105, usercpu_time_millis_training: 543.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 566.7433, mean_absolute_error: 0.1791, 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: 0.7434, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8657, scimark_benchmark: 1268.1863, usercpu_time_millis: 3077.78, usercpu_time_millis_testing: 49.703, usercpu_time_millis_training: 3028.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2231.4681, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5354, scimark_benchmark: 1264.6494, usercpu_time_millis: 732.735, usercpu_time_millis_testing: 10.627, usercpu_time_millis_training: 722.108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9531, kappa: 0.7961, kb_relative_information_score: 2229.8127, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9549, predictive_accuracy: 0.9555, prior_entropy: 0.5848, recall: 0.9555, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.5658, scimark_benchmark: 1269.9661, usercpu_time_millis: 1254.137, usercpu_time_millis_testing: 23.695, usercpu_time_millis_training: 1230.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9438, kappa: 0.7502, kb_relative_information_score: 2028.6187, mean_absolute_error: 0.0989, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9501, predictive_accuracy: 0.9485, prior_entropy: 0.5848, recall: 0.9485, relative_absolute_error: 0.4105, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.609, scimark_benchmark: 1254.202, usercpu_time_millis: 1496.892, usercpu_time_millis_testing: 27.069, usercpu_time_millis_training: 1469.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.9298, kappa: 0.6821, kb_relative_information_score: 1724.9854, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9411, predictive_accuracy: 0.9375, prior_entropy: 0.5848, recall: 0.9375, relative_absolute_error: 0.5129, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.6751, scimark_benchmark: 1279.3989, usercpu_time_millis: 1433.509, usercpu_time_millis_testing: 27.759, usercpu_time_millis_training: 1405.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9458, kappa: 0.7607, kb_relative_information_score: 2080.1395, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9501, predictive_accuracy: 0.9497, prior_entropy: 0.5848, recall: 0.9497, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.6066, scimark_benchmark: 1271.7256, usercpu_time_millis: 1460.214, usercpu_time_millis_testing: 28.744, usercpu_time_millis_training: 1431.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.9559, kappa: 0.8088, kb_relative_information_score: 2258.466, mean_absolute_error: 0.0763, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9573, predictive_accuracy: 0.9579, prior_entropy: 0.5848, recall: 0.9579, relative_absolute_error: 0.3167, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.5571, scimark_benchmark: 1304.7481, usercpu_time_millis: 1270.009, usercpu_time_millis_testing: 24.504, usercpu_time_millis_training: 1245.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.964, kappa: 0.8466, kb_relative_information_score: 2412.705, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2497, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.506, scimark_benchmark: 1267.3151, usercpu_time_millis: 614.602, usercpu_time_millis_testing: 14.422, usercpu_time_millis_training: 600.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7855, f_measure: 0.8625, kappa: 0.3449, kb_relative_information_score: 282.0364, 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: 0.7524, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2985, root_relative_squared_error: 0.8602, scimark_benchmark: 1289.9227, usercpu_time_millis: 3506.604, usercpu_time_millis_testing: 60.763, usercpu_time_millis_training: 3445.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9622, kappa: 0.8383, kb_relative_information_score: 2471.1639, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9627, predictive_accuracy: 0.9634, prior_entropy: 0.5848, recall: 0.9634, relative_absolute_error: 0.2495, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.4905, scimark_benchmark: 1265.3016, usercpu_time_millis: 2051.3, usercpu_time_millis_testing: 36.761, usercpu_time_millis_training: 2014.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9565, kappa: 0.8126, kb_relative_information_score: 2284.1741, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9573, predictive_accuracy: 0.9582, prior_entropy: 0.5848, recall: 0.9582, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.5277, scimark_benchmark: 1222.3865, usercpu_time_millis: 489.573, usercpu_time_millis_testing: 12.129, usercpu_time_millis_training: 477.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.9626, kappa: 0.8404, kb_relative_information_score: 2358.5679, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1791, root_relative_squared_error: 0.5161, scimark_benchmark: 1256.0793, usercpu_time_millis: 555.242, usercpu_time_millis_testing: 12.755, usercpu_time_millis_training: 542.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.9634, kappa: 0.844, kb_relative_information_score: 2387.7275, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9635, predictive_accuracy: 0.9643, prior_entropy: 0.5848, recall: 0.9643, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.177, root_relative_squared_error: 0.5103, scimark_benchmark: 1270.4789, usercpu_time_millis: 548.75, usercpu_time_millis_testing: 13.47, usercpu_time_millis_training: 535.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9502, kappa: 0.7827, kb_relative_information_score: 2179.7451, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9525, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5822, scimark_benchmark: 1279.5237, usercpu_time_millis: 1234.827, usercpu_time_millis_testing: 26.7, usercpu_time_millis_training: 1208.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9526, kappa: 0.7914, kb_relative_information_score: 2254.8052, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9568, predictive_accuracy: 0.9558, prior_entropy: 0.5848, recall: 0.9558, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.19, root_relative_squared_error: 0.5475, scimark_benchmark: 1256.488, usercpu_time_millis: 1531.787, usercpu_time_millis_testing: 28.265, usercpu_time_millis_training: 1503.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8816, kappa: 0.4478, kb_relative_information_score: 962.7068, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.8983, predictive_accuracy: 0.9009, prior_entropy: 0.5848, recall: 0.9009, relative_absolute_error: 0.6526, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.7989, scimark_benchmark: 1253.3909, usercpu_time_millis: 3373.725, usercpu_time_millis_testing: 49.919, usercpu_time_millis_training: 3323.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.863, kappa: 0.3468, kb_relative_information_score: 417.0789, mean_absolute_error: 0.178, 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: 0.7388, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.8606, scimark_benchmark: 1297.6285, usercpu_time_millis: 3549.806, usercpu_time_millis_testing: 58.446, usercpu_time_millis_training: 3491.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9674, kappa: 0.8612, kb_relative_information_score: 2578.5631, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9677, predictive_accuracy: 0.9683, prior_entropy: 0.5848, recall: 0.9683, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.463, scimark_benchmark: 1295.9054, usercpu_time_millis: 675.01, usercpu_time_millis_testing: 13.978, usercpu_time_millis_training: 661.032,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.964, kappa: 0.8469, kb_relative_information_score: 2433.449, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9642, predictive_accuracy: 0.9649, prior_entropy: 0.5848, recall: 0.9649, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.174, root_relative_squared_error: 0.5015, scimark_benchmark: 1271.3207, usercpu_time_millis: 633.392, usercpu_time_millis_testing: 14.534, usercpu_time_millis_training: 618.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9631, kappa: 0.8428, kb_relative_information_score: 2425.0716, mean_absolute_error: 0.0593, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9632, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.5019, scimark_benchmark: 1299.5398, usercpu_time_millis: 585.558, usercpu_time_millis_testing: 12.966, usercpu_time_millis_training: 572.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9525, kappa: 0.7946, kb_relative_information_score: 2234.4436, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9535, predictive_accuracy: 0.9546, prior_entropy: 0.5848, recall: 0.9546, relative_absolute_error: 0.3112, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.5355, scimark_benchmark: 1280.6346, usercpu_time_millis: 777.496, usercpu_time_millis_testing: 12.355, usercpu_time_millis_training: 765.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.954, kappa: 0.8013, kb_relative_information_score: 2250.8677, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9552, predictive_accuracy: 0.9561, prior_entropy: 0.5848, recall: 0.9561, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.5337, scimark_benchmark: 1239.9822, usercpu_time_millis: 589.288, usercpu_time_millis_testing: 13.372, usercpu_time_millis_training: 575.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9689, f_measure: 0.9666, kappa: 0.8558, kb_relative_information_score: 2526.9528, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9681, predictive_accuracy: 0.968, prior_entropy: 0.5848, recall: 0.968, relative_absolute_error: 0.2379, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1661, root_relative_squared_error: 0.4787, scimark_benchmark: 1260.9738, usercpu_time_millis: 1475.194, usercpu_time_millis_testing: 27.185, usercpu_time_millis_training: 1448.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7696, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 433.6969, mean_absolute_error: 0.1791, 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: 0.7433, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8636, scimark_benchmark: 1290.4388, usercpu_time_millis: 3583.086, usercpu_time_millis_testing: 57.277, usercpu_time_millis_training: 3525.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 467.214, mean_absolute_error: 0.1796, 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: 0.7455, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.8656, scimark_benchmark: 1257.6494, usercpu_time_millis: 3586.663, usercpu_time_millis_testing: 56.874, usercpu_time_millis_training: 3529.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9695, kappa: 0.8699, kb_relative_information_score: 2620.4399, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9701, predictive_accuracy: 0.9704, prior_entropy: 0.5848, recall: 0.9704, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.4475, scimark_benchmark: 1262.6065, usercpu_time_millis: 760.814, usercpu_time_millis_testing: 16.172, usercpu_time_millis_training: 744.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9686, kappa: 0.8657, kb_relative_information_score: 2617.5995, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9691, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1559, root_relative_squared_error: 0.4493, scimark_benchmark: 1299.1364, usercpu_time_millis: 752.195, usercpu_time_millis_testing: 15.416, usercpu_time_millis_training: 736.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.9627, kappa: 0.8407, kb_relative_information_score: 2478.5518, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9629, predictive_accuracy: 0.9637, prior_entropy: 0.5848, recall: 0.9637, relative_absolute_error: 0.2396, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.4976, scimark_benchmark: 1284.3972, usercpu_time_millis: 1116.213, usercpu_time_millis_testing: 20.992, usercpu_time_millis_training: 1095.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 298.0645, 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: 0.7628, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.8656, scimark_benchmark: 1290.3101, usercpu_time_millis: 3534.897, usercpu_time_millis_testing: 58.108, usercpu_time_millis_training: 3476.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9702, kappa: 0.8726, kb_relative_information_score: 2624.051, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9707, predictive_accuracy: 0.971, prior_entropy: 0.5848, recall: 0.971, relative_absolute_error: 0.1932, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4465, scimark_benchmark: 1286.4164, usercpu_time_millis: 769.003, usercpu_time_millis_testing: 16.088, usercpu_time_millis_training: 752.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9689, kappa: 0.867, kb_relative_information_score: 2619.4005, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9695, predictive_accuracy: 0.9698, prior_entropy: 0.5848, recall: 0.9698, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.4489, scimark_benchmark: 1280.3315, usercpu_time_millis: 732.135, usercpu_time_millis_testing: 15.892, usercpu_time_millis_training: 716.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9502, kappa: 0.7827, kb_relative_information_score: 2180.0431, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9525, predictive_accuracy: 0.953, prior_entropy: 0.5848, recall: 0.953, relative_absolute_error: 0.3442, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.202, root_relative_squared_error: 0.5821, scimark_benchmark: 1296.6131, usercpu_time_millis: 1325.103, usercpu_time_millis_testing: 26.389, usercpu_time_millis_training: 1298.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, f_measure: 0.9424, kappa: 0.7466, kb_relative_information_score: 2087.7681, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9457, predictive_accuracy: 0.9463, prior_entropy: 0.5848, recall: 0.9463, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.6049, scimark_benchmark: 1295.4933, usercpu_time_millis: 1329.533, usercpu_time_millis_testing: 26.717, usercpu_time_millis_training: 1302.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8945, f_measure: 0.9315, kappa: 0.6903, kb_relative_information_score: 1765.9797, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9419, predictive_accuracy: 0.9387, prior_entropy: 0.5848, recall: 0.9387, relative_absolute_error: 0.4933, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.6712, scimark_benchmark: 1253.7471, usercpu_time_millis: 1290.306, usercpu_time_millis_testing: 26.018, usercpu_time_millis_training: 1264.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9621, kappa: 0.8355, kb_relative_information_score: 2382.6748, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9644, predictive_accuracy: 0.964, prior_entropy: 0.5848, recall: 0.964, relative_absolute_error: 0.2927, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5096, scimark_benchmark: 1252.1178, usercpu_time_millis: 1704.423, usercpu_time_millis_testing: 30.646, usercpu_time_millis_training: 1673.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.955, kappa: 0.8056, kb_relative_information_score: 2233.788, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9562, predictive_accuracy: 0.957, prior_entropy: 0.5848, recall: 0.957, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.5347, scimark_benchmark: 1264.9106, usercpu_time_millis: 523.001, usercpu_time_millis_testing: 10.684, usercpu_time_millis_training: 512.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9588, kappa: 0.8227, kb_relative_information_score: 2309.8805, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9596, predictive_accuracy: 0.9604, prior_entropy: 0.5848, recall: 0.9604, relative_absolute_error: 0.2866, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.5223, scimark_benchmark: 1261.4279, usercpu_time_millis: 476.535, usercpu_time_millis_testing: 12.524, usercpu_time_millis_training: 464.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 246.8516, mean_absolute_error: 0.1828, 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: 0.7587, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2986, root_relative_squared_error: 0.8607, scimark_benchmark: 1259.7301, usercpu_time_millis: 3433.525, usercpu_time_millis_testing: 55.654, usercpu_time_millis_training: 3377.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.8628, kappa: 0.3459, kb_relative_information_score: 287.2918, mean_absolute_error: 0.1827, 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: 0.7581, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.8614, scimark_benchmark: 1297.7289, usercpu_time_millis: 3306.566, usercpu_time_millis_testing: 58.791, usercpu_time_millis_training: 3247.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9707, kappa: 0.8743, kb_relative_information_score: 2637.0572, mean_absolute_error: 0.0464, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9716, predictive_accuracy: 0.9716, prior_entropy: 0.5848, recall: 0.9716, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.4436, scimark_benchmark: 1292.8655, usercpu_time_millis: 844.235, usercpu_time_millis_testing: 17.464, usercpu_time_millis_training: 826.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9708, kappa: 0.8757, kb_relative_information_score: 2621.6046, mean_absolute_error: 0.0466, 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: 0.1936, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1549, root_relative_squared_error: 0.4465, scimark_benchmark: 1265.6372, usercpu_time_millis: 775.844, usercpu_time_millis_testing: 16.384, usercpu_time_millis_training: 759.46,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.9687, kappa: 0.8665, kb_relative_information_score: 2583.6382, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.969, predictive_accuracy: 0.9695, prior_entropy: 0.5848, recall: 0.9695, relative_absolute_error: 0.2033, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.16, root_relative_squared_error: 0.4611, scimark_benchmark: 1247.5473, usercpu_time_millis: 705.494, usercpu_time_millis_testing: 15.09, usercpu_time_millis_training: 690.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.9419, kappa: 0.7423, kb_relative_information_score: 1987.3718, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9468, predictive_accuracy: 0.9463, prior_entropy: 0.5848, recall: 0.9463, relative_absolute_error: 0.4141, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.6304, scimark_benchmark: 1258.9052, usercpu_time_millis: 1436.724, usercpu_time_millis_testing: 27.497, usercpu_time_millis_training: 1409.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.9652, kappa: 0.8517, kb_relative_information_score: 2481.9584, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9655, predictive_accuracy: 0.9661, prior_entropy: 0.5848, recall: 0.9661, relative_absolute_error: 0.232, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.4866, scimark_benchmark: 1244.0314, usercpu_time_millis: 648.351, usercpu_time_millis_testing: 14.67, usercpu_time_millis_training: 633.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9477, kappa: 0.7701, kb_relative_information_score: 2140.0609, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9513, predictive_accuracy: 0.9512, prior_entropy: 0.5848, recall: 0.9512, relative_absolute_error: 0.3589, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.5927, scimark_benchmark: 1271.4199, usercpu_time_millis: 1358.814, usercpu_time_millis_testing: 25.892, usercpu_time_millis_training: 1332.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9621, kappa: 0.8386, kb_relative_information_score: 2463.5429, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9622, predictive_accuracy: 0.9631, prior_entropy: 0.5848, recall: 0.9631, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5003, scimark_benchmark: 1289.5064, usercpu_time_millis: 1052.933, usercpu_time_millis_testing: 19.898, usercpu_time_millis_training: 1033.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9604, kappa: 0.8297, kb_relative_information_score: 2305.1115, mean_absolute_error: 0.0696, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9612, predictive_accuracy: 0.9619, prior_entropy: 0.5848, recall: 0.9619, relative_absolute_error: 0.2889, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.5226, scimark_benchmark: 1245.2351, usercpu_time_millis: 558.085, usercpu_time_millis_testing: 13.201, usercpu_time_millis_training: 544.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9505, kappa: 0.7835, kb_relative_information_score: 2001.5717, mean_absolute_error: 0.0831, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.953, predictive_accuracy: 0.9533, prior_entropy: 0.5848, recall: 0.9533, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.5549, scimark_benchmark: 1294.1912, usercpu_time_millis: 2700.837, usercpu_time_millis_testing: 43.825, usercpu_time_millis_training: 2657.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9713, kappa: 0.877, kb_relative_information_score: 2632.5251, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2409, number_of_instances: 3279, precision: 0.9722, predictive_accuracy: 0.9722, prior_entropy: 0.5848, recall: 0.9722, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.4451, scimark_benchmark: 1297.3702, usercpu_time_millis: 854.894, usercpu_time_millis_testing: 17.539, usercpu_time_millis_training: 837.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7718, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 289.2651, mean_absolute_error: 0.1839, 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: 0.7631, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.8651, scimark_benchmark: 1264.9925, usercpu_time_millis: 3589.674, usercpu_time_millis_testing: 59.437, usercpu_time_millis_training: 3530.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7645, f_measure: 0.8619, kappa: 0.3414, kb_relative_information_score: 430.6155, mean_absolute_error: 0.1807, 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: 0.7499, root_mean_prior_squared_error: 0.347, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.8656, scimark_benchmark: 1301.1558, usercpu_time_millis: 3516.556, usercpu_time_millis_testing: 59.517, usercpu_time_millis_training: 3457.039,

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