OpenML
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: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3493.3059, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1288.3353, usercpu_time_millis: 894.631, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 894.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.7666, kappa: 0.0475, kb_relative_information_score: -1935.538, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8045, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9287, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9594, scimark_benchmark: 1288.8657, usercpu_time_millis: 477.371, usercpu_time_millis_testing: 11.863, usercpu_time_millis_training: 465.508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7686, kappa: 0.0563, kb_relative_information_score: -2862.9541, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9616, scimark_benchmark: 1274.2668, usercpu_time_millis: 302.001, usercpu_time_millis_testing: 11.499, usercpu_time_millis_training: 290.502,
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: 0.6912, 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: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.5247, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1255.6364, usercpu_time_millis: 501.274, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 501.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -2440.6521, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7953, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1302.0971, usercpu_time_millis: 1099.71, usercpu_time_millis_testing: 30.297, usercpu_time_millis_training: 1069.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.76, kappa: 0.0202, kb_relative_information_score: -2637.0344, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7793, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9668, scimark_benchmark: 1272.7212, usercpu_time_millis: 1452.367, usercpu_time_millis_testing: 18.721, usercpu_time_millis_training: 1433.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7551, kb_relative_information_score: -2594.8829, mean_absolute_error: 0.268, 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: 0.9568, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.972, scimark_benchmark: 1285.0442, usercpu_time_millis: 720.56, usercpu_time_millis_testing: 47.899, usercpu_time_millis_training: 672.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7693, kappa: 0.0592, kb_relative_information_score: -2189.7414, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9252, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9611, scimark_benchmark: 1295.5982, usercpu_time_millis: 9938.944, usercpu_time_millis_testing: 129.563, usercpu_time_millis_training: 9809.381,
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,
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: 0.6908, 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: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3434.0877, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1258.0307, usercpu_time_millis: 44.424, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 44.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.7551, kb_relative_information_score: -9029.6861, mean_absolute_error: 0.2992, 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: 1.0682, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9934, scimark_benchmark: 1292.0303, usercpu_time_millis: 434.541, usercpu_time_millis_testing: 5.117, usercpu_time_millis_training: 429.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7841, kappa: 0.1241, kb_relative_information_score: -827.4294, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8012, predictive_accuracy: 0.8366, prior_entropy: 0.6541, recall: 0.8366, relative_absolute_error: 0.8943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.9536, scimark_benchmark: 1288.44, usercpu_time_millis: 1192.469, usercpu_time_millis_testing: 13.682, usercpu_time_millis_training: 1178.787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3419.5942, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1290.2115, usercpu_time_millis: 37.107, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 37.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.77, kappa: 0.062, kb_relative_information_score: -1092.6628, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8106, predictive_accuracy: 0.8354, prior_entropy: 0.6541, recall: 0.8354, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9535, scimark_benchmark: 1267.0043, usercpu_time_millis: 2209.58, usercpu_time_millis_testing: 43.197, usercpu_time_millis_training: 2166.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6995, f_measure: 0.7691, kappa: 0.0582, kb_relative_information_score: -2250.6222, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9299, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9589, scimark_benchmark: 1290.4513, usercpu_time_millis: 1956.201, usercpu_time_millis_testing: 58.333, usercpu_time_millis_training: 1897.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7574, kappa: 0.0092, kb_relative_information_score: -3070.2352, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8027, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3644, root_relative_squared_error: 0.9736, scimark_benchmark: 1283.2544, usercpu_time_millis: 587.708, usercpu_time_millis_testing: 35.806, usercpu_time_millis_training: 551.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.776, kappa: 0.0892, kb_relative_information_score: -3615.3171, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.789, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.9698, scimark_benchmark: 1274.3118, usercpu_time_millis: 3088.87, usercpu_time_millis_testing: 36.167, usercpu_time_millis_training: 3052.703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7685, kappa: 0.0558, kb_relative_information_score: -2253.2945, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9608, scimark_benchmark: 1294.4786, usercpu_time_millis: 3371.185, usercpu_time_millis_testing: 52.805, usercpu_time_millis_training: 3318.38,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.7689, kappa: 0.0575, kb_relative_information_score: -2273.15, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9613, scimark_benchmark: 1295.7208, usercpu_time_millis: 2362.533, usercpu_time_millis_testing: 30.304, usercpu_time_millis_training: 2332.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6959, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -1833.0461, mean_absolute_error: 0.2677, 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: 0.9558, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9685, scimark_benchmark: 1288.6195, usercpu_time_millis: 562.123, usercpu_time_millis_testing: 31.156, usercpu_time_millis_training: 530.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7551, kb_relative_information_score: -10352.5536, mean_absolute_error: 0.3028, 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: 1.0809, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9909, scimark_benchmark: 1298.7179, usercpu_time_millis: 1048.491, usercpu_time_millis_testing: 15.577, usercpu_time_millis_training: 1032.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7785, kappa: 0.0987, kb_relative_information_score: -846.0501, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.9019, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.9511, scimark_benchmark: 1255.8041, usercpu_time_millis: 3569.888, usercpu_time_millis_testing: 51.361, usercpu_time_millis_training: 3518.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.7551, kb_relative_information_score: -2704.2492, mean_absolute_error: 0.2689, 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: 0.9601, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9722, scimark_benchmark: 1296.8904, usercpu_time_millis: 1297.083, usercpu_time_millis_testing: 17.245, usercpu_time_millis_training: 1279.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7632, kappa: 0.0334, kb_relative_information_score: -2051.969, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8142, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1248.0234, usercpu_time_millis: 7110.177, usercpu_time_millis_testing: 100.745, usercpu_time_millis_training: 7009.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.7665, kappa: 0.0475, kb_relative_information_score: -1745.535, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8328, prior_entropy: 0.6541, recall: 0.8328, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1259.6246, usercpu_time_millis: 967.495, usercpu_time_millis_testing: 14.068, usercpu_time_millis_training: 953.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7578, kappa: 0.0108, kb_relative_information_score: -2614.3761, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.813, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9697, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9828, scimark_benchmark: 1274.1672, usercpu_time_millis: 982.823, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 982.747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.7552, kappa: 0.0005, kb_relative_information_score: -3670.8624, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.86, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3706, root_relative_squared_error: 0.9903, scimark_benchmark: 1262.3732, usercpu_time_millis: 47.803, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 47.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7121, f_measure: 0.7759, kappa: 0.0877, kb_relative_information_score: -1025.5158, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8025, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.9057, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3566, root_relative_squared_error: 0.9529, scimark_benchmark: 1277.9836, usercpu_time_millis: 355.202, usercpu_time_millis_testing: 6.428, usercpu_time_millis_training: 348.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7852, kappa: 0.1296, kb_relative_information_score: -782.5001, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7977, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.8891, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.9546, scimark_benchmark: 1266.1405, usercpu_time_millis: 3013.579, usercpu_time_millis_testing: 54.813, usercpu_time_millis_training: 2958.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6632, f_measure: 0.7551, kb_relative_information_score: -2293.4624, mean_absolute_error: 0.2753, 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: 0.9827, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1282.608, usercpu_time_millis: 697.233, usercpu_time_millis_testing: 7.566, usercpu_time_millis_training: 689.667,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3329.5437, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1295.1598, usercpu_time_millis: 717.996, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 717.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.0793, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1254.2099, usercpu_time_millis: 1002.245, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 1002.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3395.4776, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1276.29, usercpu_time_millis: 1102.346, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1102.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.7868, kappa: 0.1632, kb_relative_information_score: 1679.7839, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.775, predictive_accuracy: 0.8161, prior_entropy: 0.6541, recall: 0.8161, relative_absolute_error: 0.8001, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3807, root_relative_squared_error: 1.0172, scimark_benchmark: 1263.1068, usercpu_time_millis: 4454.703, usercpu_time_millis_testing: 93.476, usercpu_time_millis_training: 4361.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3458.0356, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1267.5418, usercpu_time_millis: 1081.264, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1081.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6426, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -2809.31, mean_absolute_error: 0.2724, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.82, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9726, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1268.1162, usercpu_time_millis: 444.406, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 444.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7551, kb_relative_information_score: -5811.4709, mean_absolute_error: 0.2924, 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: 1.0438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3718, root_relative_squared_error: 0.9935, scimark_benchmark: 1291.2112, usercpu_time_millis: 1133.697, usercpu_time_millis_testing: 12.689, usercpu_time_millis_training: 1121.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5436, f_measure: 0.7551, kb_relative_information_score: -18128.2475, mean_absolute_error: 0.3208, 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: 1.1451, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3787, root_relative_squared_error: 1.0118, scimark_benchmark: 1274.4874, usercpu_time_millis: 1062.665, usercpu_time_millis_testing: 12.387, usercpu_time_millis_training: 1050.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3341.3792, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9647, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1253.3836, usercpu_time_millis: 626.128, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 626.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.0496, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1273.0918, usercpu_time_millis: 1088.505, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1088.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6352, f_measure: 0.7573, kappa: 0.0088, kb_relative_information_score: -3384.3946, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8116, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9754, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.984, scimark_benchmark: 1254.1674, usercpu_time_millis: 456.78, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 456.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6392, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3275.3063, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9693, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1271.7177, usercpu_time_millis: 32.22, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 32.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3446.1741, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9649, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1245.4061, usercpu_time_millis: 1084.106, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1084.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.63, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1252.6051, usercpu_time_millis: 542.213, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 542.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3441.6356, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1265.9635, usercpu_time_millis: 1073.356, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1073.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3452.1493, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1256.7008, usercpu_time_millis: 241.657, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 241.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3197.2535, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9657, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1254.4055, usercpu_time_millis: 792.001, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 791.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.7551, kb_relative_information_score: -2143.6298, mean_absolute_error: 0.2769, 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: 0.9886, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9843, scimark_benchmark: 1274.3282, usercpu_time_millis: 1400.59, usercpu_time_millis_testing: 23.15, usercpu_time_millis_training: 1377.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.7749, kappa: 0.0828, kb_relative_information_score: -876.3101, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8089, predictive_accuracy: 0.8364, prior_entropy: 0.6541, recall: 0.8364, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9513, scimark_benchmark: 1273.3952, usercpu_time_millis: 2846.222, usercpu_time_millis_testing: 34.291, usercpu_time_millis_training: 2811.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -3317.9432, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9708, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1251.086, usercpu_time_millis: 480.599, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 480.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.7874, kappa: 0.14, kb_relative_information_score: -475.7009, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7984, predictive_accuracy: 0.836, prior_entropy: 0.6541, recall: 0.836, relative_absolute_error: 0.8803, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3572, root_relative_squared_error: 0.9545, scimark_benchmark: 1289.1366, usercpu_time_millis: 4712.702, usercpu_time_millis_testing: 111.965, usercpu_time_millis_training: 4600.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.4421, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1264.4913, usercpu_time_millis: 1034.594, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1034.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6436, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -2505.2174, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9712, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1286.1274, usercpu_time_millis: 496.805, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 496.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -3006.0385, mean_absolute_error: 0.2709, 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: 0.9671, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.982, scimark_benchmark: 1276.5678, usercpu_time_millis: 251.205, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 251.096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3513.9159, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1261.3201, usercpu_time_millis: 712.012, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 711.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2822.5352, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8144, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9681, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1274.0742, usercpu_time_millis: 693.555, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 693.493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -3343.0968, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8168, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9737, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.9843, scimark_benchmark: 1263.2866, usercpu_time_millis: 114.242, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 114.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3396.3786, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1298.5927, usercpu_time_millis: 460.04, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 459.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.7867, kappa: 0.1401, kb_relative_information_score: -1113.5934, mean_absolute_error: 0.2481, 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: 0.8857, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9649, scimark_benchmark: 1245.5616, usercpu_time_millis: 830.478, usercpu_time_millis_testing: 12.702, usercpu_time_millis_training: 817.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.3554, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1248.6045, usercpu_time_millis: 446.167, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 446.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6356, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -3305.547, mean_absolute_error: 0.2732, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8172, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1278.2943, usercpu_time_millis: 745.488, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 745.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3421.5436, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8162, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1255.8343, usercpu_time_millis: 228.397, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 228.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6437, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3480.2074, mean_absolute_error: 0.2707, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.818, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1274.3131, usercpu_time_millis: 852.142, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 852.08,

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