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: 0.6906, f_measure: 0.7892, kappa: 0.1571, kb_relative_information_score: -874.8067, mean_absolute_error: 0.2438, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7844, predictive_accuracy: 0.8282, prior_entropy: 0.6541, recall: 0.8282, relative_absolute_error: 0.8705, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9754, scimark_benchmark: 1262.7645, usercpu_time_millis: 3171.176, usercpu_time_millis_testing: 50.676, usercpu_time_millis_training: 3120.5,
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: 0.6451, 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: 0.6437, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6039, 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: 1279.2728, usercpu_time_millis: 396.416, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 396.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6798, f_measure: 0.7551, kb_relative_information_score: -2560.5099, 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: 0.364, root_relative_squared_error: 0.9727, scimark_benchmark: 1258.1974, usercpu_time_millis: 1042.933, usercpu_time_millis_testing: 12.305, usercpu_time_millis_training: 1030.628,
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: 0.7094, 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: 0.6365, 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: 0.6352, 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: 0.6452, 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: 0.6449, 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: 0.6392, 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: 0.6664, f_measure: 0.7551, kb_relative_information_score: -2491.9577, mean_absolute_error: 0.2724, 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: 0.9724, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.9788, scimark_benchmark: 1277.9307, usercpu_time_millis: 926.994, usercpu_time_millis_testing: 13.009, usercpu_time_millis_training: 913.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3350.7151, 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: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1250.0612, usercpu_time_millis: 589.315, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 589.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3369.5001, 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: 0.9692, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9827, scimark_benchmark: 1276.3477, usercpu_time_millis: 982.923, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 982.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3378.4628, 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: 1243.4991, usercpu_time_millis: 902.999, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 902.936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3382.4008, 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: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1261.6194, usercpu_time_millis: 1067.395, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1067.331,
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: 0.7128, f_measure: 0.7829, kappa: 0.1182, kb_relative_information_score: -675.1061, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8032, predictive_accuracy: 0.8369, prior_entropy: 0.6541, recall: 0.8369, relative_absolute_error: 0.8952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.356, root_relative_squared_error: 0.9513, scimark_benchmark: 1241.0582, usercpu_time_millis: 2807.754, usercpu_time_millis_testing: 34.557, usercpu_time_millis_training: 2773.197,
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: -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: 0.6451, 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: -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: 0.698, 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: 0.6851, f_measure: 0.7873, kappa: 0.1472, kb_relative_information_score: -779.8394, mean_absolute_error: 0.2443, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7833, predictive_accuracy: 0.8284, prior_entropy: 0.6541, recall: 0.8284, relative_absolute_error: 0.8722, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9777, scimark_benchmark: 1251.1661, usercpu_time_millis: 391.077, usercpu_time_millis_testing: 3.385, usercpu_time_millis_training: 387.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.7774, kappa: 0.0938, kb_relative_information_score: -1048.1793, mean_absolute_error: 0.2535, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8047, predictive_accuracy: 0.8363, prior_entropy: 0.6541, recall: 0.8363, relative_absolute_error: 0.9049, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.952, scimark_benchmark: 1276.5052, usercpu_time_millis: 2696.192, usercpu_time_millis_testing: 44.242, usercpu_time_millis_training: 2651.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3501.3769, 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: 0.965, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1247.7474, usercpu_time_millis: 691.124, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 691.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3230.0167, mean_absolute_error: 0.2704, 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: 0.9653, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1260.4534, usercpu_time_millis: 825.719, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 825.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7124, f_measure: 0.7778, kappa: 0.0959, kb_relative_information_score: -853.7364, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8034, predictive_accuracy: 0.8362, prior_entropy: 0.6541, recall: 0.8362, relative_absolute_error: 0.9028, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.9522, scimark_benchmark: 1251.5603, usercpu_time_millis: 2437.48, usercpu_time_millis_testing: 41.359, usercpu_time_millis_training: 2396.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6376, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3294.8263, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9711, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1259.356, usercpu_time_millis: 102.702, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 102.582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6414, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3401.2492, mean_absolute_error: 0.2711, 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: 0.968, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1255.3316, usercpu_time_millis: 944.867, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 944.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3390.5391, 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: 1241.1872, usercpu_time_millis: 298.868, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 298.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6303, f_measure: 0.7639, kappa: 0.1332, kb_relative_information_score: -3418.8777, mean_absolute_error: 0.2459, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7575, predictive_accuracy: 0.7712, prior_entropy: 0.6541, recall: 0.7712, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4329, root_relative_squared_error: 1.1568, scimark_benchmark: 1244.3838, usercpu_time_millis: 2204.023, usercpu_time_millis_testing: 55.151, usercpu_time_millis_training: 2148.872,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.7674, kappa: 0.051, kb_relative_information_score: -1431.8371, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.916, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3579, root_relative_squared_error: 0.9564, scimark_benchmark: 1286.0223, usercpu_time_millis: 2217.717, usercpu_time_millis_testing: 46.359, usercpu_time_millis_training: 2171.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -3332.8212, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.815, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9721, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1260.2657, usercpu_time_millis: 1051.218, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1051.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.7575, kappa: 0.0096, kb_relative_information_score: -2217.6596, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8185, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.974, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9846, scimark_benchmark: 1235.642, usercpu_time_millis: 247.932, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 247.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6425, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -3459.3872, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8174, 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: 0.3675, root_relative_squared_error: 0.9821, scimark_benchmark: 1292.5338, usercpu_time_millis: 974.599, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 974.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3430.99, 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: 0.9644, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.9816, scimark_benchmark: 1270.0088, usercpu_time_millis: 672.347, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 672.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.7853, kappa: 0.1284, kb_relative_information_score: -339.3732, mean_absolute_error: 0.2482, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.807, predictive_accuracy: 0.8381, prior_entropy: 0.6541, recall: 0.8381, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.95, scimark_benchmark: 1291.9765, usercpu_time_millis: 4520.663, usercpu_time_millis_testing: 115.98, usercpu_time_millis_training: 4404.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3441.2725, mean_absolute_error: 0.2706, 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: 0.9659, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1294.1401, usercpu_time_millis: 747.116, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 747.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: -3333.1364, mean_absolute_error: 0.2713, 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: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1268.9448, usercpu_time_millis: 485.509, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 485.437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -3436.8914, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8148, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9675, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9824, scimark_benchmark: 1267.11, usercpu_time_millis: 764.756, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 764.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -3325.198, mean_absolute_error: 0.2719, 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: 0.9707, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1269.9018, usercpu_time_millis: 490.865, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 490.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6955, f_measure: 0.765, kappa: 0.0413, kb_relative_information_score: -1929.6718, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7917, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1268.6998, usercpu_time_millis: 1797.027, usercpu_time_millis_testing: 28.593, usercpu_time_millis_training: 1768.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6309, f_measure: 0.7572, kappa: 0.0085, kb_relative_information_score: -2055.9687, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9871, scimark_benchmark: 1288.6754, usercpu_time_millis: 1105.835, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1105.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6726, f_measure: 0.7852, kappa: 0.1557, kb_relative_information_score: -780.6375, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7731, predictive_accuracy: 0.8154, prior_entropy: 0.6541, recall: 0.8154, relative_absolute_error: 0.8536, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3768, root_relative_squared_error: 1.0069, scimark_benchmark: 1266.7351, usercpu_time_millis: 5245.965, usercpu_time_millis_testing: 81.074, usercpu_time_millis_training: 5164.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6599, f_measure: 0.7551, kb_relative_information_score: -3487.3826, mean_absolute_error: 0.2812, 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: 1.0038, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9839, scimark_benchmark: 1283.9376, usercpu_time_millis: 968.716, usercpu_time_millis_testing: 14.947, usercpu_time_millis_training: 953.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3438.4239, 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: 0.9645, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1289.2019, usercpu_time_millis: 130.908, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 130.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -3330.8031, mean_absolute_error: 0.2725, 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: 0.9727, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9834, scimark_benchmark: 1283.9427, usercpu_time_millis: 184.337, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 184.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3480.0387, 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: 1269.1097, usercpu_time_millis: 442.724, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 442.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2740.541, mean_absolute_error: 0.2713, 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: 0.9686, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1283.7895, usercpu_time_millis: 894.725, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 894.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3245.7657, mean_absolute_error: 0.2704, 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: 0.9652, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1286.2329, usercpu_time_millis: 558.071, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 558.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5644, f_measure: 0.7551, kb_relative_information_score: -48140.3638, mean_absolute_error: 0.4235, 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: 1.5118, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1551, scimark_benchmark: 1266.2267, usercpu_time_millis: 15.661, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 15.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2581.6478, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9705, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1261.8424, usercpu_time_millis: 803.671, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 803.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3390.2663, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1280.5594, usercpu_time_millis: 759.119, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 759.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3391.0197, 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: 1263.3217, usercpu_time_millis: 217.199, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 217.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.788, kappa: 0.1593, kb_relative_information_score: -708.114, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7787, predictive_accuracy: 0.8223, prior_entropy: 0.6541, recall: 0.8223, relative_absolute_error: 0.8591, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.9908, scimark_benchmark: 1267.1654, usercpu_time_millis: 6022.02, usercpu_time_millis_testing: 112.569, usercpu_time_millis_training: 5909.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7869, kappa: 0.1388, kb_relative_information_score: -734.8078, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.8844, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9575, scimark_benchmark: 1267.5896, usercpu_time_millis: 4951.362, usercpu_time_millis_testing: 89.187, usercpu_time_millis_training: 4862.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3413.6489, 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: 1280.7084, usercpu_time_millis: 580.337, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 580.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3483.1587, 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: 0.9648, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9816, scimark_benchmark: 1266.6005, usercpu_time_millis: 996.825, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 996.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -3434.595, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.9848, scimark_benchmark: 1265.7197, usercpu_time_millis: 471.781, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 471.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.4156, 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: 1296.1602, usercpu_time_millis: 1069.574, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1069.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -2738.1769, mean_absolute_error: 0.2714, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8137, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9687, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9824, scimark_benchmark: 1292.379, usercpu_time_millis: 784.712, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 784.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3348.3552, mean_absolute_error: 0.2715, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8141, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9829, scimark_benchmark: 1294.7958, usercpu_time_millis: 829.383, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 829.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.7588, kappa: 0.0152, kb_relative_information_score: -1808.6578, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.787, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.9602, scimark_benchmark: 1292.5485, usercpu_time_millis: 2070.242, usercpu_time_millis_testing: 27.029, usercpu_time_millis_training: 2043.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.7766, kappa: 0.1513, kb_relative_information_score: -1432.7915, mean_absolute_error: 0.237, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7647, predictive_accuracy: 0.7938, prior_entropy: 0.6541, recall: 0.7938, relative_absolute_error: 0.8462, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.0762, scimark_benchmark: 1268.7915, usercpu_time_millis: 1926.622, usercpu_time_millis_testing: 39.731, usercpu_time_millis_training: 1886.891,

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