OpenML
Supervised Classification on Click_prediction_small

Supervised Classification on Click_prediction_small

Task 14971 Supervised Classification Click_prediction_small 21169 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

21169 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3497.9232, 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: 1257.2697, usercpu_time_millis: 850.133, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 850.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3380.3261, 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: 1288.3679, usercpu_time_millis: 1073.608, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 1073.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.6191, 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: 1271.6739, usercpu_time_millis: 1025.659, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1025.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3389.897, 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: 1292.2553, usercpu_time_millis: 580.541, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 580.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.7851, kappa: 0.158, kb_relative_information_score: 3602.7569, mean_absolute_error: 0.2112, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7726, predictive_accuracy: 0.8137, prior_entropy: 0.6541, recall: 0.8137, relative_absolute_error: 0.7541, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3895, root_relative_squared_error: 1.0409, scimark_benchmark: 1270.3034, usercpu_time_millis: 6736.87, usercpu_time_millis_testing: 154.467, usercpu_time_millis_training: 6582.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.0178, 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: 1292.2521, usercpu_time_millis: 1081.509, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 1081.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6454, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3147.4862, 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: 0.9658, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9817, scimark_benchmark: 1278.3084, usercpu_time_millis: 843.291, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 843.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7578, kappa: 0.0109, kb_relative_information_score: -2618.3023, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8167, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9696, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1266.0195, usercpu_time_millis: 816.796, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 816.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3390.1897, 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: 1266.1624, usercpu_time_millis: 1074.283, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1074.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3460.7567, 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: 1290.0422, usercpu_time_millis: 26.917, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 26.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3384.8646, 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: 1290.4421, usercpu_time_millis: 327.89, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 327.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6321, f_measure: 0.757, kappa: 0.0078, kb_relative_information_score: -3376.7288, mean_absolute_error: 0.2731, 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: 0.9749, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847, scimark_benchmark: 1291.6717, usercpu_time_millis: 514.04, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 513.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6453, f_measure: 0.7578, kappa: 0.0112, kb_relative_information_score: -2949.0918, 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: 0.982, scimark_benchmark: 1289.8928, usercpu_time_millis: 1212.693, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1212.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.7848, kappa: 0.1407, kb_relative_information_score: -1806.0601, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7765, predictive_accuracy: 0.8238, prior_entropy: 0.6541, recall: 0.8238, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9857, scimark_benchmark: 1271.9385, usercpu_time_millis: 603.529, usercpu_time_millis_testing: 13.137, usercpu_time_millis_training: 590.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7088, f_measure: 0.7722, kappa: 0.0717, kb_relative_information_score: -1366.2797, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7961, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9105, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.9554, scimark_benchmark: 1268.719, usercpu_time_millis: 1209.861, usercpu_time_millis_testing: 25.652, usercpu_time_millis_training: 1184.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.7849, kappa: 0.1283, kb_relative_information_score: -816.9747, mean_absolute_error: 0.2491, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8359, prior_entropy: 0.6541, recall: 0.8359, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.357, root_relative_squared_error: 0.9541, scimark_benchmark: 1254.5444, usercpu_time_millis: 2846.806, usercpu_time_millis_testing: 42.006, usercpu_time_millis_training: 2804.8,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.7871, kappa: 0.1644, kb_relative_information_score: 3475.4074, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7753, predictive_accuracy: 0.8161, prior_entropy: 0.6541, recall: 0.8161, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.388, root_relative_squared_error: 1.0369, scimark_benchmark: 1243.9381, usercpu_time_millis: 5677.234, usercpu_time_millis_testing: 101.858, usercpu_time_millis_training: 5575.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6403, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3383.8872, mean_absolute_error: 0.2713, 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: 0.9684, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9826, scimark_benchmark: 1292.1245, usercpu_time_millis: 1093.794, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1093.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.172, 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: 1289.5478, usercpu_time_millis: 418.476, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 418.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.7554, kappa: 0.0013, kb_relative_information_score: -3633.0289, mean_absolute_error: 0.2763, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8039, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.37, root_relative_squared_error: 0.9886, scimark_benchmark: 1265.1466, usercpu_time_millis: 361.695, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 361.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3310.3549, 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: 0.9817, scimark_benchmark: 1260.855, usercpu_time_millis: 1041.939, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 1041.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7163, f_measure: 0.7791, kappa: 0.1012, kb_relative_information_score: -667.1751, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8067, predictive_accuracy: 0.837, prior_entropy: 0.6541, recall: 0.837, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.9494, scimark_benchmark: 1269.2808, usercpu_time_millis: 2099.716, usercpu_time_millis_testing: 47.391, usercpu_time_millis_training: 2052.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7871, kappa: 0.146, kb_relative_information_score: 3104.4328, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7832, predictive_accuracy: 0.8285, prior_entropy: 0.6541, recall: 0.8285, relative_absolute_error: 0.7905, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9832, scimark_benchmark: 1275.76, usercpu_time_millis: 8194.199, usercpu_time_millis_testing: 169.519, usercpu_time_millis_training: 8024.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5806, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -8174.2726, mean_absolute_error: 0.2943, 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: 1.0505, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.9974, scimark_benchmark: 1292.139, usercpu_time_millis: 80.092, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 79.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6394, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3374.8971, mean_absolute_error: 0.2713, 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: 0.9684, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.9827, scimark_benchmark: 1262.9691, usercpu_time_millis: 667.807, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 667.741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3427.525, 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: 1265.6048, usercpu_time_millis: 272.422, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 272.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7888, kappa: 0.1477, kb_relative_information_score: -493.6479, mean_absolute_error: 0.2454, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7954, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.8761, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1251.1711, usercpu_time_millis: 4335.869, usercpu_time_millis_testing: 101.398, usercpu_time_millis_training: 4234.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3472.1236, mean_absolute_error: 0.2708, 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: 0.9669, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1266.9389, usercpu_time_millis: 359.365, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 359.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3393.561, 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: 1289.287, usercpu_time_millis: 937.645, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 937.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6129, f_measure: 0.7551, kb_relative_information_score: -11617.731, mean_absolute_error: 0.305, 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: 1.0888, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9982, scimark_benchmark: 1292.7693, usercpu_time_millis: 168.797, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 167.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -3341.609, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8129, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9841, scimark_benchmark: 1276.5833, usercpu_time_millis: 700.615, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 700.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.7636, kappa: 0.035, kb_relative_information_score: -1534.4798, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8066, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9229, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.9572, scimark_benchmark: 1267.1503, usercpu_time_millis: 590.231, usercpu_time_millis_testing: 9.917, usercpu_time_millis_training: 580.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.9767, 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: 1270.8923, usercpu_time_millis: 578.462, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 578.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7551, kappa: -0.0001, kb_relative_information_score: -2375.6399, mean_absolute_error: 0.2683, 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: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.364, root_relative_squared_error: 0.9728, scimark_benchmark: 1290.6598, usercpu_time_millis: 856.841, usercpu_time_millis_testing: 15.096, usercpu_time_millis_training: 841.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -3093.2415, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9669, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1260.7633, usercpu_time_millis: 845.051, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 844.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7574, kappa: 0.0096, kb_relative_information_score: -2259.7637, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8163, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9677, scimark_benchmark: 1265.6554, usercpu_time_millis: 1009.547, usercpu_time_millis_testing: 13.587, usercpu_time_millis_training: 995.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6431, f_measure: 0.774, kappa: 0.1488, kb_relative_information_score: 57.4369, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7632, predictive_accuracy: 0.7884, prior_entropy: 0.6541, recall: 0.7884, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4191, root_relative_squared_error: 1.1198, scimark_benchmark: 1232.859, usercpu_time_millis: 3466.644, usercpu_time_millis_testing: 67.23, usercpu_time_millis_training: 3399.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6449, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -2878.9635, mean_absolute_error: 0.2712, 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: 0.9682, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9823, scimark_benchmark: 1286.893, usercpu_time_millis: 457.598, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 457.536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3376.4053, 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: 1290.5402, usercpu_time_millis: 19.357, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 19.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3387.1508, 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: 1282.1363, usercpu_time_millis: 1105.646, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 1105.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -3318.0836, mean_absolute_error: 0.272, 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: 0.971, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1272.1509, usercpu_time_millis: 430.301, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 430.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3339.7171, 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: 0.9817, scimark_benchmark: 1258.4391, usercpu_time_millis: 580.666, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 580.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.7572, kappa: 0.0084, kb_relative_information_score: -2068.4622, mean_absolute_error: 0.2736, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8143, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9768, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3691, root_relative_squared_error: 0.9861, scimark_benchmark: 1291.1806, usercpu_time_millis: 562.602, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 562.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -3320.1197, mean_absolute_error: 0.272, 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: 0.9711, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9836, scimark_benchmark: 1281.9923, usercpu_time_millis: 646.747, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 646.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6416, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3458.712, 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: 1251.9102, usercpu_time_millis: 533.707, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 533.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.7851, kappa: 0.1297, kb_relative_information_score: -796.5523, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.796, predictive_accuracy: 0.8352, prior_entropy: 0.6541, recall: 0.8352, relative_absolute_error: 0.8886, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.9553, scimark_benchmark: 1269.6674, usercpu_time_millis: 3224.867, usercpu_time_millis_testing: 62.134, usercpu_time_millis_training: 3162.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.7551, kb_relative_information_score: -8580.4034, mean_absolute_error: 0.2973, 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: 1.0614, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.9843, scimark_benchmark: 1266.3917, usercpu_time_millis: 180.669, usercpu_time_millis_testing: 3.233, usercpu_time_millis_training: 177.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: -2254.272, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9666, scimark_benchmark: 1254.9835, usercpu_time_millis: 1257.846, usercpu_time_millis_testing: 18.065, usercpu_time_millis_training: 1239.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.1944, 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: 1258.8785, usercpu_time_millis: 74.888, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 74.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2598.5467, mean_absolute_error: 0.2718, 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: 0.9703, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.9829, scimark_benchmark: 1272.962, usercpu_time_millis: 458.275, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 458.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3385.3154, 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: 1270.353, usercpu_time_millis: 604.673, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 604.596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.645, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3475.712, 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: 1261.5415, usercpu_time_millis: 1062.17, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1062.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7856, kappa: 0.1663, kb_relative_information_score: -924.4945, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7731, predictive_accuracy: 0.8109, prior_entropy: 0.6541, recall: 0.8109, relative_absolute_error: 0.8494, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3817, root_relative_squared_error: 1.02, scimark_benchmark: 1251.3682, usercpu_time_millis: 3262.569, usercpu_time_millis_testing: 62.494, usercpu_time_millis_training: 3200.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3456.3557, 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: 0.9821, scimark_benchmark: 1262.5177, usercpu_time_millis: 58.674, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 58.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3516.2051, 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: 1262.1222, usercpu_time_millis: 1092.021, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 1091.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.7551, kb_relative_information_score: -4820.7167, mean_absolute_error: 0.2897, 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: 1.0342, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3716, root_relative_squared_error: 0.9929, scimark_benchmark: 1252.7366, usercpu_time_millis: 710.038, usercpu_time_millis_testing: 5.917, usercpu_time_millis_training: 704.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3499.0855, mean_absolute_error: 0.2705, 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: 0.9658, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.9818, scimark_benchmark: 1272.5073, usercpu_time_millis: 843.422, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 843.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6444, f_measure: 0.7579, kappa: 0.0113, kb_relative_information_score: -2921.1098, 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: 0.9684, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.9822, scimark_benchmark: 1283.8256, usercpu_time_millis: 478.707, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 478.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.7553, kappa: 0.0006, kb_relative_information_score: -3614.4338, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7926, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9874, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3703, root_relative_squared_error: 0.9894, scimark_benchmark: 1261.4458, usercpu_time_millis: 157.584, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 157.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.7727, kappa: 0.147, kb_relative_information_score: -593.7304, mean_absolute_error: 0.2309, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7624, predictive_accuracy: 0.7862, prior_entropy: 0.6541, recall: 0.7862, relative_absolute_error: 0.8242, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.124, scimark_benchmark: 1259.7854, usercpu_time_millis: 5125.834, usercpu_time_millis_testing: 109.409, usercpu_time_millis_training: 5016.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.7863, kappa: 0.1345, kb_relative_information_score: -457.9575, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.799, predictive_accuracy: 0.8362, prior_entropy: 0.6541, recall: 0.8362, relative_absolute_error: 0.8849, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.9552, scimark_benchmark: 1272.1595, usercpu_time_millis: 623.495, usercpu_time_millis_testing: 9.911, usercpu_time_millis_training: 613.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6447, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3486.5183, 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: 1280.4069, usercpu_time_millis: 141.238, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 141.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.7864, kappa: 0.1659, kb_relative_information_score: -1225.5053, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7742, predictive_accuracy: 0.8134, prior_entropy: 0.6541, recall: 0.8134, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3796, root_relative_squared_error: 1.0144, scimark_benchmark: 1256.3374, usercpu_time_millis: 2639.714, usercpu_time_millis_testing: 56.907, usercpu_time_millis_training: 2582.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6001, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -3978.4174, mean_absolute_error: 0.2791, 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: 0.9963, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3711, root_relative_squared_error: 0.9917, scimark_benchmark: 1267.7675, usercpu_time_millis: 163.567, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 163.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.7797, kappa: 0.1038, kb_relative_information_score: -672.1574, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.806, predictive_accuracy: 0.837, prior_entropy: 0.6541, recall: 0.837, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.9497, scimark_benchmark: 1278.7775, usercpu_time_millis: 3172.725, usercpu_time_millis_testing: 78.882, usercpu_time_millis_training: 3093.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6464, f_measure: 0.7551, kb_relative_information_score: -2604.0767, mean_absolute_error: 0.2784, 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: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.9847, scimark_benchmark: 1251.1839, usercpu_time_millis: 253.347, usercpu_time_millis_testing: 1.917, usercpu_time_millis_training: 251.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, f_measure: 0.7551, kb_relative_information_score: -4163.59, mean_absolute_error: 0.2809, 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: 1.0026, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.366, root_relative_squared_error: 0.9781, scimark_benchmark: 1264.9391, usercpu_time_millis: 2001.783, usercpu_time_millis_testing: 30.603, usercpu_time_millis_training: 1971.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.7569, kappa: 0.0071, kb_relative_information_score: -2933.7162, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8194, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9861, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.988, scimark_benchmark: 1275.4037, usercpu_time_millis: 729.331, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 729.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3392.1311, 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: 1235.7183, usercpu_time_millis: 597.439, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 597.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3321.7744, mean_absolute_error: 0.2717, 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: 0.97, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1246.729, usercpu_time_millis: 449.989, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 449.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3394.2033, 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: 1251.4024, usercpu_time_millis: 510.745, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 510.683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.7824, kappa: 0.1405, kb_relative_information_score: -2433.492, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7697, predictive_accuracy: 0.8153, prior_entropy: 0.6541, recall: 0.8153, relative_absolute_error: 0.8881, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3765, root_relative_squared_error: 1.006, scimark_benchmark: 1244.4929, usercpu_time_millis: 4135.316, usercpu_time_millis_testing: 59.282, usercpu_time_millis_training: 4076.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7703, kappa: 0.0638, kb_relative_information_score: -1588.4905, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1272.6145, usercpu_time_millis: 437.314, usercpu_time_millis_testing: 5.725, usercpu_time_millis_training: 431.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7148, f_measure: 0.7803, kappa: 0.1067, kb_relative_information_score: -809.7315, mean_absolute_error: 0.2518, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8053, predictive_accuracy: 0.837, prior_entropy: 0.6541, recall: 0.837, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.9505, scimark_benchmark: 1246.6815, usercpu_time_millis: 4601.905, usercpu_time_millis_testing: 81.703, usercpu_time_millis_training: 4520.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.7575, kappa: 0.0099, kb_relative_information_score: -11806.141, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8037, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 1.0889, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9764, scimark_benchmark: 1276.6335, usercpu_time_millis: 1069.203, usercpu_time_millis_testing: 15.717, usercpu_time_millis_training: 1053.486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7578, kappa: 0.011, kb_relative_information_score: -3079.3241, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8186, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1273.1823, usercpu_time_millis: 1037.441, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 1037.376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7111, f_measure: 0.7748, kappa: 0.0827, kb_relative_information_score: -1147.4852, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8049, predictive_accuracy: 0.8359, prior_entropy: 0.6541, recall: 0.8359, relative_absolute_error: 0.9092, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.9535, scimark_benchmark: 1277.4759, usercpu_time_millis: 651.359, usercpu_time_millis_testing: 10.984, usercpu_time_millis_training: 640.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.7551, kb_relative_information_score: -2703.0051, mean_absolute_error: 0.2729, 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: 0.9742, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1255.7855, usercpu_time_millis: 1355.336, usercpu_time_millis_testing: 12.911, usercpu_time_millis_training: 1342.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7562, kappa: 0.0045, kb_relative_information_score: -20840.6781, mean_absolute_error: 0.3296, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.831, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 1.1765, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3757, root_relative_squared_error: 1.0038, scimark_benchmark: 1267.3117, usercpu_time_millis: 373.468, usercpu_time_millis_testing: 5.762, usercpu_time_millis_training: 367.706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.7577, kappa: 0.0105, kb_relative_information_score: -3316.251, mean_absolute_error: 0.272, 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: 0.971, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9835, scimark_benchmark: 1249.5563, usercpu_time_millis: 308.276, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 308.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6279, f_measure: 0.7565, kappa: 0.0058, kb_relative_information_score: -3443.764, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8195, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9783, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3689, root_relative_squared_error: 0.9858, scimark_benchmark: 1278.3462, usercpu_time_millis: 673.018, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 672.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.7756, kappa: 0.0856, kb_relative_information_score: -517.6932, mean_absolute_error: 0.2524, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8115, predictive_accuracy: 0.8368, prior_entropy: 0.6541, recall: 0.8368, relative_absolute_error: 0.901, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3555, root_relative_squared_error: 0.9498, scimark_benchmark: 1253.7851, usercpu_time_millis: 350.532, usercpu_time_millis_testing: 7.409, usercpu_time_millis_training: 343.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.7667, kappa: 0.048, kb_relative_information_score: -1923.4747, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8103, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9368, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.9562, scimark_benchmark: 1271.7048, usercpu_time_millis: 1992.31, usercpu_time_millis_testing: 32.62, usercpu_time_millis_training: 1959.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5785, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: -9419.6483, mean_absolute_error: 0.2981, 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: 1.0642, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.999, scimark_benchmark: 1247.8916, usercpu_time_millis: 42.392, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 42.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3389.8093, 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: 1253.1655, usercpu_time_millis: 655.442, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 655.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3399.4899, 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: 1255.0313, usercpu_time_millis: 985.131, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 985.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2583.9142, mean_absolute_error: 0.2718, 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: 1251.2687, usercpu_time_millis: 983.192, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 983.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3304.46, 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: 0.9817, scimark_benchmark: 1255.835, usercpu_time_millis: 232.371, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 232.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.7551, kb_relative_information_score: -2567.3924, mean_absolute_error: 0.2679, 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: 0.9562, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.972, scimark_benchmark: 1257.4493, usercpu_time_millis: 787.352, usercpu_time_millis_testing: 12.375, usercpu_time_millis_training: 774.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6441, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -2521.1412, 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: 0.9707, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.983, scimark_benchmark: 1252.3713, usercpu_time_millis: 911.048, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 910.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3378.6588, 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: 1269.9394, usercpu_time_millis: 250.869, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 250.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.7572, kappa: 0.0086, kb_relative_information_score: -2461.6611, mean_absolute_error: 0.2741, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.822, 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: 0.3688, root_relative_squared_error: 0.9854, scimark_benchmark: 1279.5371, usercpu_time_millis: 699.966, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 699.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3429.8407, mean_absolute_error: 0.2708, 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: 0.9666, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9819, scimark_benchmark: 1277.3218, usercpu_time_millis: 113.931, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 113.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6452, f_measure: 0.7579, kappa: 0.0114, kb_relative_information_score: -3378.9006, 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: 1276.2041, usercpu_time_millis: 876.491, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 876.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.7558, kappa: 0.0027, kb_relative_information_score: -3563.8751, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8106, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9839, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.9878, scimark_benchmark: 1277.4664, usercpu_time_millis: 421.867, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 421.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6406, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -3350.2474, mean_absolute_error: 0.2713, 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: 0.9685, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3677, root_relative_squared_error: 0.9825, scimark_benchmark: 1259.6804, usercpu_time_millis: 87.913, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 87.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7737, kappa: 0.078, kb_relative_information_score: -1058.7738, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8063, predictive_accuracy: 0.8358, prior_entropy: 0.6541, recall: 0.8358, relative_absolute_error: 0.9097, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.9523, scimark_benchmark: 1274.5359, usercpu_time_millis: 2756.502, usercpu_time_millis_testing: 46.527, usercpu_time_millis_training: 2709.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6374, f_measure: 0.7577, kappa: 0.0108, kb_relative_information_score: -3314.6457, mean_absolute_error: 0.2718, 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: 0.9704, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.368, root_relative_squared_error: 0.9833, scimark_benchmark: 1244.5655, usercpu_time_millis: 179.806, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 179.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.636, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -3327.6291, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8165, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9717, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.9837, scimark_benchmark: 1245.6298, usercpu_time_millis: 1092.366, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1092.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6575, f_measure: 0.7551, kb_relative_information_score: -2115.246, mean_absolute_error: 0.2782, 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: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9876, scimark_benchmark: 1254.4177, usercpu_time_millis: 367.742, usercpu_time_millis_testing: 3.753, usercpu_time_millis_training: 363.989,

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