Task
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.7551, kb_relative_information_score: -2362.8834, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9705, scimark_benchmark: 1264.7734, usercpu_time_millis: 624.725, usercpu_time_millis_testing: 33.3, usercpu_time_millis_training: 591.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7551, kb_relative_information_score: -2356.3496, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9537, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9697, scimark_benchmark: 1297.909, usercpu_time_millis: 885.728, usercpu_time_millis_testing: 50.49, usercpu_time_millis_training: 835.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7612, kappa: 0.0249, kb_relative_information_score: -2690.5879, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9688, scimark_benchmark: 1284.9067, usercpu_time_millis: 472, usercpu_time_millis_testing: 24.496, usercpu_time_millis_training: 447.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -1781.0465, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8254, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1261.1561, usercpu_time_millis: 718.397, usercpu_time_millis_testing: 44.802, usercpu_time_millis_training: 673.595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7593, kappa: 0.0172, kb_relative_information_score: -2821.7188, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.798, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9482, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9703, scimark_benchmark: 1297.5579, usercpu_time_millis: 881.644, usercpu_time_millis_testing: 46.447, usercpu_time_millis_training: 835.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7581, kappa: 0.0124, kb_relative_information_score: -2535.2513, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7841, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9681, scimark_benchmark: 1296.4801, usercpu_time_millis: 2921.05, usercpu_time_millis_testing: 70.569, usercpu_time_millis_training: 2850.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.7569, kappa: 0.0072, kb_relative_information_score: -3308.5577, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8118, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9753, scimark_benchmark: 1299.1996, usercpu_time_millis: 487.469, usercpu_time_millis_testing: 29.293, usercpu_time_millis_training: 458.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7748, kappa: 0.0845, kb_relative_information_score: -3003.0679, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7838, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9189, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9718, scimark_benchmark: 1298.4622, usercpu_time_millis: 3136.641, usercpu_time_millis_testing: 24.105, usercpu_time_millis_training: 3112.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7701, kappa: 0.0629, kb_relative_information_score: -2279.2091, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1289.6967, usercpu_time_millis: 5955.552, usercpu_time_millis_testing: 53.158, usercpu_time_millis_training: 5902.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7551, kb_relative_information_score: -1973.877, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.9742, scimark_benchmark: 1290.3324, usercpu_time_millis: 510.085, usercpu_time_millis_testing: 30.387, usercpu_time_millis_training: 479.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7733, kappa: 0.0768, kb_relative_information_score: -3148.8261, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9645, scimark_benchmark: 1279.3374, usercpu_time_millis: 1319.71, usercpu_time_millis_testing: 19.206, usercpu_time_millis_training: 1300.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7713, kappa: 0.0679, kb_relative_information_score: -2884.6507, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1282.1835, usercpu_time_millis: 328.729, usercpu_time_millis_testing: 6.692, usercpu_time_millis_training: 322.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7566, kappa: 0.0063, kb_relative_information_score: -2478.9726, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.782, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9416, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1289.8863, usercpu_time_millis: 232.123, usercpu_time_millis_testing: 7.103, usercpu_time_millis_training: 225.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -2476.0651, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7856, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.9682, scimark_benchmark: 1295.4645, usercpu_time_millis: 235.177, usercpu_time_millis_testing: 5.171, usercpu_time_millis_training: 230.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7717, kappa: 0.0695, kb_relative_information_score: -2334.2123, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9207, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9618, scimark_benchmark: 1284.6397, usercpu_time_millis: 276.875, usercpu_time_millis_testing: 4.338, usercpu_time_millis_training: 272.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.7712, kappa: 0.0674, kb_relative_information_score: -2831.7003, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7997, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9614, scimark_benchmark: 1294.7372, usercpu_time_millis: 744.889, usercpu_time_millis_testing: 20.571, usercpu_time_millis_training: 724.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7605, kappa: 0.0221, kb_relative_information_score: -2478.0847, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9403, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1298.3223, usercpu_time_millis: 1506.208, usercpu_time_millis_testing: 53.96, usercpu_time_millis_training: 1452.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7619, kappa: 0.0282, kb_relative_information_score: -2563.6865, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9638, scimark_benchmark: 1296.8107, usercpu_time_millis: 4453.943, usercpu_time_millis_testing: 85.715, usercpu_time_millis_training: 4368.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7597, kappa: 0.0191, kb_relative_information_score: -2544.9611, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.791, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1304.4737, usercpu_time_millis: 781.87, usercpu_time_millis_testing: 15.013, usercpu_time_millis_training: 766.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7722, kappa: 0.0718, kb_relative_information_score: -2191.7037, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8008, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9243, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9605, scimark_benchmark: 1293.9051, usercpu_time_millis: 1075.037, usercpu_time_millis_testing: 29.924, usercpu_time_millis_training: 1045.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.76, kappa: 0.0202, kb_relative_information_score: -2497.0297, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8061, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1297.063, usercpu_time_millis: 538.618, usercpu_time_millis_testing: 27.822, usercpu_time_millis_training: 510.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7582, kappa: 0.0129, kb_relative_information_score: -1763.7433, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8287, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9517, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1305.9859, usercpu_time_millis: 593.575, usercpu_time_millis_testing: 32.279, usercpu_time_millis_training: 561.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7607, kappa: 0.0232, kb_relative_information_score: -2446.5018, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1307.7094, usercpu_time_millis: 4876.118, usercpu_time_millis_testing: 90.167, usercpu_time_millis_training: 4785.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7557, kappa: 0.0024, kb_relative_information_score: -2480.4831, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7759, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9684, scimark_benchmark: 1304.6864, usercpu_time_millis: 2174.775, usercpu_time_millis_testing: 75.985, usercpu_time_millis_training: 2098.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7666, kappa: 0.0479, kb_relative_information_score: -2495.6533, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.9608, scimark_benchmark: 1267.5857, usercpu_time_millis: 1101.14, usercpu_time_millis_testing: 39.349, usercpu_time_millis_training: 1061.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7595, kappa: 0.0181, kb_relative_information_score: -2319.4091, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8104, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1287.4239, usercpu_time_millis: 2214.494, usercpu_time_millis_testing: 76.297, usercpu_time_millis_training: 2138.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.7619, kappa: 0.0281, kb_relative_information_score: -3160.1034, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7842, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9381, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.9719, scimark_benchmark: 1299.3644, usercpu_time_millis: 19.93, usercpu_time_millis_testing: 0.644, usercpu_time_millis_training: 19.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.756, kappa: 0.0037, kb_relative_information_score: -1885.3434, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9552, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1292.5404, usercpu_time_millis: 1318.373, usercpu_time_millis_testing: 93.628, usercpu_time_millis_training: 1224.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7617, kappa: 0.0271, kb_relative_information_score: -2431.6096, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8064, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1299.1813, usercpu_time_millis: 2377.204, usercpu_time_millis_testing: 97.233, usercpu_time_millis_training: 2279.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.7591, kappa: 0.0164, kb_relative_information_score: -2500.3957, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.793, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9363, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9656, scimark_benchmark: 1278.1568, usercpu_time_millis: 2552.18, usercpu_time_millis_testing: 61.031, usercpu_time_millis_training: 2491.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.7695, kappa: 0.0601, kb_relative_information_score: -2433.1835, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1277.2674, usercpu_time_millis: 6521.002, usercpu_time_millis_testing: 66.684, usercpu_time_millis_training: 6454.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6908, f_measure: 0.7699, kappa: 0.062, kb_relative_information_score: -2740.3934, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7962, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1279.7027, usercpu_time_millis: 2063.819, usercpu_time_millis_testing: 20.067, usercpu_time_millis_training: 2043.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.7551, kb_relative_information_score: -2880.3699, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9638, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1296.9804, usercpu_time_millis: 355.544, usercpu_time_millis_testing: 27.282, usercpu_time_millis_training: 328.262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.7551, kb_relative_information_score: -2787.3248, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 1299.4549, usercpu_time_millis: 186.679, usercpu_time_millis_testing: 17.21, usercpu_time_millis_training: 169.469,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -2499.8261, mean_absolute_error: 0.2632, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.784, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1279.2748, usercpu_time_millis: 1391.643, usercpu_time_millis_testing: 37.114, usercpu_time_millis_training: 1354.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7748, kappa: 0.0839, kb_relative_information_score: -2513.6197, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7913, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9242, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1291.597, usercpu_time_millis: 470.629, usercpu_time_millis_testing: 14.01, usercpu_time_millis_training: 456.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7687, kappa: 0.0567, kb_relative_information_score: -2301.5075, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.962, scimark_benchmark: 1285.5131, usercpu_time_millis: 576.509, usercpu_time_millis_testing: 8.096, usercpu_time_millis_training: 568.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7552, kappa: 0.0001, kb_relative_information_score: -2301.3801, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7477, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1283.616, usercpu_time_millis: 535.901, usercpu_time_millis_testing: 24.421, usercpu_time_millis_training: 511.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7621, kappa: 0.0288, kb_relative_information_score: -2249.7871, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1279.7379, usercpu_time_millis: 2702.908, usercpu_time_millis_testing: 57.588, usercpu_time_millis_training: 2645.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.7588, kappa: 0.0153, kb_relative_information_score: -2375.3384, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7885, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9427, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.9689, scimark_benchmark: 1292.8142, usercpu_time_millis: 1755.674, usercpu_time_millis_testing: 57.949, usercpu_time_millis_training: 1697.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7641, kappa: 0.0371, kb_relative_information_score: -2629.6312, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8109, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622, scimark_benchmark: 1298.0494, usercpu_time_millis: 988.476, usercpu_time_millis_testing: 63.462, usercpu_time_millis_training: 925.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -1765.6541, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8206, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1296.1607, usercpu_time_millis: 593.504, usercpu_time_millis_testing: 32.165, usercpu_time_millis_training: 561.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.7669, kappa: 0.0491, kb_relative_information_score: -3136.9415, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8334, prior_entropy: 0.6541, recall: 0.8334, relative_absolute_error: 0.94, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1298.5637, usercpu_time_millis: 1139.063, usercpu_time_millis_testing: 32.562, usercpu_time_millis_training: 1106.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.768, kappa: 0.0535, kb_relative_information_score: -2150.4501, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8003, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9604, scimark_benchmark: 1304.112, usercpu_time_millis: 4587.838, usercpu_time_millis_testing: 74.45, usercpu_time_millis_training: 4513.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2512.36, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9692, scimark_benchmark: 1290.7391, usercpu_time_millis: 600.185, usercpu_time_millis_testing: 34.705, usercpu_time_millis_training: 565.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2300.802, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9461, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1302.7072, usercpu_time_millis: 780.345, usercpu_time_millis_testing: 36.926, usercpu_time_millis_training: 743.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.7721, kappa: 0.0741, kb_relative_information_score: -3440.96, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7729, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9214, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9842, scimark_benchmark: 1281.9748, usercpu_time_millis: 10600.492, usercpu_time_millis_testing: 60.696, usercpu_time_millis_training: 10539.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7551, kb_relative_information_score: -1845.3095, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9764, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9813, scimark_benchmark: 1284.2728, usercpu_time_millis: 75.683, usercpu_time_millis_testing: 5.854, usercpu_time_millis_training: 69.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.7551, kb_relative_information_score: -3045.0989, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9616, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1277.1845, usercpu_time_millis: 567.306, usercpu_time_millis_testing: 38.151, usercpu_time_millis_training: 529.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -1784.4288, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8295, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1282.4138, usercpu_time_millis: 353.505, usercpu_time_millis_testing: 19.5, usercpu_time_millis_training: 334.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -1748.0161, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8276, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1286.0078, usercpu_time_millis: 1465.555, usercpu_time_millis_testing: 72.536, usercpu_time_millis_training: 1393.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7588, kappa: 0.015, kb_relative_information_score: -1727.9919, mean_absolute_error: 0.2664, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8245, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9511, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1277.147, usercpu_time_millis: 1145.515, usercpu_time_millis_testing: 57.819, usercpu_time_millis_training: 1087.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7603, kappa: 0.0211, kb_relative_information_score: -2205.7646, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8183, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1288.5819, usercpu_time_millis: 906.664, usercpu_time_millis_testing: 39.872, usercpu_time_millis_training: 866.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: -1898.7166, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8262, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9542, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1280.3209, usercpu_time_millis: 688.11, usercpu_time_millis_testing: 48.71, usercpu_time_millis_training: 639.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7607, kappa: 0.0229, kb_relative_information_score: -2446.8174, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8112, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1276.2399, usercpu_time_millis: 1274.445, usercpu_time_millis_testing: 56.846, usercpu_time_millis_training: 1217.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.7658, kappa: 0.0445, kb_relative_information_score: -2151.0724, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8049, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1294.6548, usercpu_time_millis: 551.99, usercpu_time_millis_testing: 20.863, usercpu_time_millis_training: 531.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6854, f_measure: 0.7715, kappa: 0.0688, kb_relative_information_score: -4173.7152, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9506, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1295.4354, usercpu_time_millis: 696.807, usercpu_time_millis_testing: 18.027, usercpu_time_millis_training: 678.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7675, kappa: 0.0517, kb_relative_information_score: -2307.0352, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7951, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9618, scimark_benchmark: 1292.1937, usercpu_time_millis: 1963.714, usercpu_time_millis_testing: 30.739, usercpu_time_millis_training: 1932.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.7675, kappa: 0.0518, kb_relative_information_score: -2555.7922, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7994, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9328, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1289.5844, usercpu_time_millis: 3683.926, usercpu_time_millis_testing: 119.358, usercpu_time_millis_training: 3564.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.7598, kappa: 0.0194, kb_relative_information_score: -2417.0031, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.792, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1275.1651, usercpu_time_millis: 4317.254, usercpu_time_millis_testing: 80.029, usercpu_time_millis_training: 4237.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.7591, kappa: 0.0166, kb_relative_information_score: -2417.3722, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1306.7813, usercpu_time_millis: 2176.367, usercpu_time_millis_testing: 51.463, usercpu_time_millis_training: 2124.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.772, kappa: 0.0712, kb_relative_information_score: -2580.1046, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7962, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9218, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9634, scimark_benchmark: 1301.4784, usercpu_time_millis: 327.094, usercpu_time_millis_testing: 4.649, usercpu_time_millis_training: 322.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.7775, kappa: 0.0983, kb_relative_information_score: -4114.0858, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7793, predictive_accuracy: 0.83, prior_entropy: 0.6541, recall: 0.83, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.9755, scimark_benchmark: 1292.96, usercpu_time_millis: 1073.438, usercpu_time_millis_testing: 22.211, usercpu_time_millis_training: 1051.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7712, kappa: 0.0677, kb_relative_information_score: -2484.0271, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9607, scimark_benchmark: 1301.1025, usercpu_time_millis: 740.658, usercpu_time_millis_testing: 20.621, usercpu_time_millis_training: 720.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.7722, kappa: 0.072, kb_relative_information_score: -3278.4158, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9362, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.964, scimark_benchmark: 1274.2734, usercpu_time_millis: 2428.829, usercpu_time_millis_testing: 42.338, usercpu_time_millis_training: 2386.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.761, kappa: 0.0242, kb_relative_information_score: -2419.3982, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7996, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9642, scimark_benchmark: 1283.5469, usercpu_time_millis: 1639.076, usercpu_time_millis_testing: 27, usercpu_time_millis_training: 1612.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -1694.2279, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8272, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1290.4235, usercpu_time_millis: 1028.785, usercpu_time_millis_testing: 53.426, usercpu_time_millis_training: 975.359,

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