Task
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: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1857.1082, usercpu_time_millis: 24.133, usercpu_time_millis_testing: 23.947, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1850.2875, usercpu_time_millis: 24.15, usercpu_time_millis_testing: 23.955, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7635, kappa: 0.0359, kb_relative_information_score: -3833.9523, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7626, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1852.3877, usercpu_time_millis: 24.933, usercpu_time_millis_testing: 24.734, usercpu_time_millis_training: 0.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.763, kappa: 0.0339, kb_relative_information_score: -3799.1113, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7628, predictive_accuracy: 0.8293, prior_entropy: 0.6541, recall: 0.8293, relative_absolute_error: 0.9312, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1855.0232, usercpu_time_millis: 24.604, usercpu_time_millis_testing: 24.421, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.7646, kappa: 0.0412, kb_relative_information_score: -3913.2756, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.763, predictive_accuracy: 0.8287, prior_entropy: 0.6541, recall: 0.8287, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9978, scimark_benchmark: 1854.4431, usercpu_time_millis: 24.146, usercpu_time_millis_testing: 23.848, usercpu_time_millis_training: 0.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.7649, kappa: 0.0426, kb_relative_information_score: -3959.6336, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8282, prior_entropy: 0.6541, recall: 0.8282, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9988, scimark_benchmark: 1852.4707, usercpu_time_millis: 23.987, usercpu_time_millis_testing: 23.682, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1855.4813, usercpu_time_millis: 24.327, usercpu_time_millis_testing: 24.142, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1734.3333, usercpu_time_millis: 25.982, usercpu_time_millis_testing: 25.804, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7635, kappa: 0.0359, kb_relative_information_score: -3833.9523, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7626, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1737.5279, usercpu_time_millis: 26.103, usercpu_time_millis_testing: 25.922, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6424, f_measure: 0.7754, kappa: 0.0952, kb_relative_information_score: -5082.3059, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7659, predictive_accuracy: 0.8227, prior_entropy: 0.6541, recall: 0.8227, relative_absolute_error: 0.9322, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1853, usercpu_time_millis: 4.554, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 4.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.7697, kappa: 0.0613, kb_relative_information_score: -4108.5174, mean_absolute_error: 0.2652, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7949, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9466, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9704, scimark_benchmark: 1850.3603, usercpu_time_millis: 7.86, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 7.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7737, kappa: 0.0784, kb_relative_information_score: -3630.5292, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7987, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.9648, scimark_benchmark: 1779.2317, usercpu_time_millis: 48.885, usercpu_time_millis_testing: 1.786, usercpu_time_millis_training: 47.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.7566, kappa: 0.006, kb_relative_information_score: -2152.5609, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.959, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1803.564, usercpu_time_millis: 56.47, usercpu_time_millis_testing: 4.453, usercpu_time_millis_training: 52.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.7582, kappa: 0.0125, kb_relative_information_score: -1855.0891, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8242, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1773.5901, usercpu_time_millis: 57.237, usercpu_time_millis_testing: 3.454, usercpu_time_millis_training: 53.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.758, kappa: 0.0117, kb_relative_information_score: -1860.9929, mean_absolute_error: 0.2672, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8304, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1778.8094, usercpu_time_millis: 67.369, usercpu_time_millis_testing: 4.001, usercpu_time_millis_training: 63.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.7777, kappa: 0.0992, kb_relative_information_score: -4394.7593, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7802, predictive_accuracy: 0.8303, prior_entropy: 0.6541, recall: 0.8303, relative_absolute_error: 0.9372, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9785, scimark_benchmark: 1732.8983, usercpu_time_millis: 65.164, usercpu_time_millis_testing: 1.155, usercpu_time_millis_training: 64.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.778, kappa: 0.1138, kb_relative_information_score: -5813.5561, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7656, predictive_accuracy: 0.8181, prior_entropy: 0.6541, recall: 0.8181, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3797, root_relative_squared_error: 1.0145, scimark_benchmark: 1768.6952, usercpu_time_millis: 6.909, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 6.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: -1946.9857, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.825, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9551, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9665, scimark_benchmark: 1696.5957, usercpu_time_millis: 34.62, usercpu_time_millis_testing: 2.3, usercpu_time_millis_training: 32.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.7742, kappa: 0.0806, kb_relative_information_score: -3888.4082, mean_absolute_error: 0.2638, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7942, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.967, scimark_benchmark: 1855.0232, usercpu_time_millis: 51.759, usercpu_time_millis_testing: 1.358, usercpu_time_millis_training: 50.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7575, kappa: 0.0099, kb_relative_information_score: -1896.2967, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8193, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.966, scimark_benchmark: 1723.9736, usercpu_time_millis: 77.109, usercpu_time_millis_testing: 5.904, usercpu_time_millis_training: 71.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -2013.1987, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8295, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9555, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1782.1558, usercpu_time_millis: 21.814, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 20.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.7792, kappa: 0.1115, kb_relative_information_score: -5196.0295, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7722, predictive_accuracy: 0.8248, prior_entropy: 0.6541, recall: 0.8248, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.9947, scimark_benchmark: 1729.3307, usercpu_time_millis: 32.261, usercpu_time_millis_testing: 0.534, usercpu_time_millis_training: 31.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7749, kappa: 0.084, kb_relative_information_score: -3534.7509, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7923, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9351, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1846.7651, usercpu_time_millis: 83.132, usercpu_time_millis_testing: 2.761, usercpu_time_millis_training: 80.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6961, f_measure: 0.757, kappa: 0.0076, kb_relative_information_score: -2006.3689, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8213, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9669, scimark_benchmark: 1852.355, usercpu_time_millis: 27.499, usercpu_time_millis_testing: 2.247, usercpu_time_millis_training: 25.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: -1861.2772, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8234, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9662, scimark_benchmark: 1842.772, usercpu_time_millis: 26.281, usercpu_time_millis_testing: 1.228, usercpu_time_millis_training: 25.053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -2177.5366, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8166, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3624, root_relative_squared_error: 0.9683, scimark_benchmark: 1732.9633, usercpu_time_millis: 21.024, usercpu_time_millis_testing: 1.417, usercpu_time_millis_training: 19.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7685, kappa: 0.056, kb_relative_information_score: -3909.3368, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8339, prior_entropy: 0.6541, recall: 0.8339, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1851.3986, usercpu_time_millis: 104.218, usercpu_time_millis_testing: 4.935, usercpu_time_millis_training: 99.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6799, f_measure: 0.7761, kappa: 0.0891, kb_relative_information_score: -4050.5505, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7931, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.363, root_relative_squared_error: 0.97, scimark_benchmark: 1844.7668, usercpu_time_millis: 101.656, usercpu_time_millis_testing: 1.9, usercpu_time_millis_training: 99.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6735, f_measure: 0.7796, kappa: 0.1078, kb_relative_information_score: -3778.4519, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7817, predictive_accuracy: 0.8305, prior_entropy: 0.6541, recall: 0.8305, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.9777, scimark_benchmark: 1853.454, usercpu_time_millis: 104.772, usercpu_time_millis_testing: 2.469, usercpu_time_millis_training: 102.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7718, kappa: 0.0703, kb_relative_information_score: -2570.6069, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9286, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9619, scimark_benchmark: 1730.7262, usercpu_time_millis: 110.958, usercpu_time_millis_testing: 4.201, usercpu_time_millis_training: 106.757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7578, kappa: 0.0111, kb_relative_information_score: -1972.9428, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8248, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9543, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1841.7546, usercpu_time_millis: 15.969, usercpu_time_millis_testing: 0.98, usercpu_time_millis_training: 14.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: -1781.3439, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8262, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1799.4964, usercpu_time_millis: 64.827, usercpu_time_millis_testing: 3.483, usercpu_time_millis_training: 61.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7589, kappa: 0.0154, kb_relative_information_score: -1829.2407, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8298, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.952, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9658, scimark_benchmark: 1725.385, usercpu_time_millis: 37.594, usercpu_time_millis_testing: 1.815, usercpu_time_millis_training: 35.779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7712, kappa: 0.0674, kb_relative_information_score: -2932.27, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8028, predictive_accuracy: 0.835, prior_entropy: 0.6541, recall: 0.835, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9622, scimark_benchmark: 1850.3603, usercpu_time_millis: 32.028, usercpu_time_millis_testing: 1.397, usercpu_time_millis_training: 30.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7588, kappa: 0.0152, kb_relative_information_score: -1777.7036, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8312, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1853.9849, usercpu_time_millis: 86.799, usercpu_time_millis_testing: 4.931, usercpu_time_millis_training: 81.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7686, kappa: 0.0562, kb_relative_information_score: -2716.7812, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8065, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1843.1989, usercpu_time_millis: 115.887, usercpu_time_millis_testing: 6.143, usercpu_time_millis_training: 109.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6858, f_measure: 0.7693, kappa: 0.0593, kb_relative_information_score: -3945.7141, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9485, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1774.1541, usercpu_time_millis: 69.044, usercpu_time_millis_testing: 2.403, usercpu_time_millis_training: 66.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.7669, kappa: 0.049, kb_relative_information_score: -2916.0199, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9428, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9604, scimark_benchmark: 1853.454, usercpu_time_millis: 130.33, usercpu_time_millis_testing: 9.716, usercpu_time_millis_training: 120.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7576, kappa: 0.0103, kb_relative_information_score: -1935.1318, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.827, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9553, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1848.916, usercpu_time_millis: 86.68, usercpu_time_millis_testing: 7.276, usercpu_time_millis_training: 79.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.779, kappa: 0.1049, kb_relative_information_score: -3620.8064, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7825, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.9761, scimark_benchmark: 1853, usercpu_time_millis: 44.659, usercpu_time_millis_testing: 1.486, usercpu_time_millis_training: 43.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7573, kappa: 0.0091, kb_relative_information_score: -1956.4113, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8262, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1855.0232, usercpu_time_millis: 114.142, usercpu_time_millis_testing: 10.486, usercpu_time_millis_training: 103.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.7705, kappa: 0.0647, kb_relative_information_score: -3933.462, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7964, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9478, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1841.6148, usercpu_time_millis: 74.655, usercpu_time_millis_testing: 2.305, usercpu_time_millis_training: 72.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.773, kappa: 0.0753, kb_relative_information_score: -2494.9731, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7982, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9273, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.36, root_relative_squared_error: 0.9618, scimark_benchmark: 1846.3769, usercpu_time_millis: 118.669, usercpu_time_millis_testing: 4.34, usercpu_time_millis_training: 114.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.7691, kappa: 0.0585, kb_relative_information_score: -3953.136, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.795, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.949, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9656, scimark_benchmark: 1850.4852, usercpu_time_millis: 51.668, usercpu_time_millis_testing: 2, usercpu_time_millis_training: 49.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.778, kappa: 0.0992, kb_relative_information_score: -4369.4738, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7853, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.365, root_relative_squared_error: 0.9752, scimark_benchmark: 1849.3754, usercpu_time_millis: 130.611, usercpu_time_millis_testing: 1.75, usercpu_time_millis_training: 128.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.7765, kappa: 0.0912, kb_relative_information_score: -4195.5716, mean_absolute_error: 0.2637, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.791, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9414, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1853.454, usercpu_time_millis: 134.19, usercpu_time_millis_testing: 2.022, usercpu_time_millis_training: 132.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.7711, kappa: 0.067, kb_relative_information_score: -2574.107, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9306, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.9606, scimark_benchmark: 1762.6066, usercpu_time_millis: 93.666, usercpu_time_millis_testing: 3.976, usercpu_time_millis_training: 89.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7715, kappa: 0.0686, kb_relative_information_score: -3692.3928, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7981, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9431, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.965, scimark_benchmark: 1727.044, usercpu_time_millis: 78.172, usercpu_time_millis_testing: 2.164, usercpu_time_millis_training: 76.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6987, f_measure: 0.7587, kappa: 0.0146, kb_relative_information_score: -1767.0599, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8252, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9516, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9653, scimark_benchmark: 1842.5979, usercpu_time_millis: 121.68, usercpu_time_millis_testing: 6.718, usercpu_time_millis_training: 114.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7783, kappa: 0.1007, kb_relative_information_score: -3950.5188, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7855, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9319, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1851.8968, usercpu_time_millis: 54.402, usercpu_time_millis_testing: 1.052, usercpu_time_millis_training: 53.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7711, kappa: 0.0669, kb_relative_information_score: -3679.9707, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7988, predictive_accuracy: 0.8345, prior_entropy: 0.6541, recall: 0.8345, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.9639, scimark_benchmark: 1847.8034, usercpu_time_millis: 117.598, usercpu_time_millis_testing: 3.927, usercpu_time_millis_training: 113.671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6986, f_measure: 0.7591, kappa: 0.0162, kb_relative_information_score: -1749.2979, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8251, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9515, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1836.8078, usercpu_time_millis: 100.585, usercpu_time_millis_testing: 5.194, usercpu_time_millis_training: 95.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7716, kappa: 0.069, kb_relative_information_score: -3263.451, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8018, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9389, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9624, scimark_benchmark: 1723.6732, usercpu_time_millis: 64.984, usercpu_time_millis_testing: 2.757, usercpu_time_millis_training: 62.227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.7793, kappa: 0.1119, kb_relative_information_score: -4188.0942, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7722, predictive_accuracy: 0.8248, prior_entropy: 0.6541, recall: 0.8248, relative_absolute_error: 0.9267, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.989, scimark_benchmark: 1850.3603, usercpu_time_millis: 157.206, usercpu_time_millis_testing: 2.563, usercpu_time_millis_training: 154.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.7795, kappa: 0.1114, kb_relative_information_score: -4358.5722, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7743, predictive_accuracy: 0.8263, prior_entropy: 0.6541, recall: 0.8263, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.9872, scimark_benchmark: 1728.4155, usercpu_time_millis: 194.388, usercpu_time_millis_testing: 2.232, usercpu_time_millis_training: 192.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.77, kappa: 0.0619, kb_relative_information_score: -2728.7924, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8052, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.9596, scimark_benchmark: 1849.8294, usercpu_time_millis: 112.812, usercpu_time_millis_testing: 5.92, usercpu_time_millis_training: 106.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.774, kappa: 0.0798, kb_relative_information_score: -3449.6812, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1809.3789, usercpu_time_millis: 202.737, usercpu_time_millis_testing: 6.075, usercpu_time_millis_training: 196.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.7716, kappa: 0.0689, kb_relative_information_score: -2538.7853, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8348, prior_entropy: 0.6541, recall: 0.8348, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9604, scimark_benchmark: 1846.2342, usercpu_time_millis: 113.677, usercpu_time_millis_testing: 4.659, usercpu_time_millis_training: 109.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -1801.0736, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8291, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1782.5926, usercpu_time_millis: 146.039, usercpu_time_millis_testing: 9.209, usercpu_time_millis_training: 136.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.7677, kappa: 0.0523, kb_relative_information_score: -2814.8839, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.803, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9404, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9598, scimark_benchmark: 1730.1903, usercpu_time_millis: 134.425, usercpu_time_millis_testing: 9.103, usercpu_time_millis_training: 125.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.7577, kappa: 0.0106, kb_relative_information_score: -1920.8486, mean_absolute_error: 0.2675, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8326, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9549, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9663, scimark_benchmark: 1849.3754, usercpu_time_millis: 126.841, usercpu_time_millis_testing: 11.02, usercpu_time_millis_training: 115.821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7691, kappa: 0.0584, kb_relative_information_score: -3598.5288, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7968, predictive_accuracy: 0.834, prior_entropy: 0.6541, recall: 0.834, relative_absolute_error: 0.9453, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.9629, scimark_benchmark: 1727.1696, usercpu_time_millis: 224.279, usercpu_time_millis_testing: 10.648, usercpu_time_millis_training: 213.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.674, f_measure: 0.7787, kappa: 0.1034, kb_relative_information_score: -3939.7315, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7828, predictive_accuracy: 0.8311, prior_entropy: 0.6541, recall: 0.8311, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.9766, scimark_benchmark: 1834.7077, usercpu_time_millis: 149.559, usercpu_time_millis_testing: 2.452, usercpu_time_millis_training: 147.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.7571, kappa: 0.008, kb_relative_information_score: -2053.58, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8284, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1846.3111, usercpu_time_millis: 127.565, usercpu_time_millis_testing: 10.273, usercpu_time_millis_training: 117.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7738, kappa: 0.0789, kb_relative_information_score: -3621.7801, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7969, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1724.8648, usercpu_time_millis: 152.056, usercpu_time_millis_testing: 4.906, usercpu_time_millis_training: 147.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6914, f_measure: 0.7696, kappa: 0.0607, kb_relative_information_score: -3599.3557, mean_absolute_error: 0.2649, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7998, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1847.8034, usercpu_time_millis: 126.54, usercpu_time_millis_testing: 6.722, usercpu_time_millis_training: 119.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7716, kappa: 0.0694, kb_relative_information_score: -3564.2102, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7972, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1845.2522, usercpu_time_millis: 134.146, usercpu_time_millis_testing: 4.489, usercpu_time_millis_training: 129.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6812, f_measure: 0.7787, kappa: 0.1023, kb_relative_information_score: -3333.5313, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.786, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9251, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3634, root_relative_squared_error: 0.9711, scimark_benchmark: 1732.0412, usercpu_time_millis: 144.088, usercpu_time_millis_testing: 4.3, usercpu_time_millis_training: 139.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7735, kappa: 0.0773, kb_relative_information_score: -3423.8613, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7974, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1772.8274, usercpu_time_millis: 136.146, usercpu_time_millis_testing: 4.556, usercpu_time_millis_training: 131.59,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7759, kappa: 0.0881, kb_relative_information_score: -3871.5082, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7941, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9673, scimark_benchmark: 1830.0208, usercpu_time_millis: 213.461, usercpu_time_millis_testing: 4.7, usercpu_time_millis_training: 208.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6862, f_measure: 0.7753, kappa: 0.0858, kb_relative_information_score: -3747.4523, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7914, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9667, scimark_benchmark: 1725.7822, usercpu_time_millis: 186.158, usercpu_time_millis_testing: 5.309, usercpu_time_millis_training: 180.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6837, f_measure: 0.7755, kappa: 0.0873, kb_relative_information_score: -3847.1754, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7881, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9371, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.9685, scimark_benchmark: 789.663, usercpu_time_millis: 229.543, usercpu_time_millis_testing: 4.777, usercpu_time_millis_training: 224.766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.7746, kappa: 0.0826, kb_relative_information_score: -3723.8965, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7934, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.9671, scimark_benchmark: 1841.6859, usercpu_time_millis: 271.39, usercpu_time_millis_testing: 4.776, usercpu_time_millis_training: 266.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.7779, kappa: 0.0993, kb_relative_information_score: -4239.3399, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7832, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1830.9853, usercpu_time_millis: 232.031, usercpu_time_millis_testing: 3.596, usercpu_time_millis_training: 228.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7716, kappa: 0.0691, kb_relative_information_score: -3482.8348, mean_absolute_error: 0.2635, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7978, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9406, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.9629, scimark_benchmark: 1845.7061, usercpu_time_millis: 260.771, usercpu_time_millis_testing: 9.389, usercpu_time_millis_training: 251.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.769, kappa: 0.0583, kb_relative_information_score: -3853.489, mean_absolute_error: 0.2657, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9644, scimark_benchmark: 1846.4335, usercpu_time_millis: 269.687, usercpu_time_millis_testing: 10.369, usercpu_time_millis_training: 259.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.774, kappa: 0.0799, kb_relative_information_score: -3645.8463, mean_absolute_error: 0.2633, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7971, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9654, scimark_benchmark: 1851.3986, usercpu_time_millis: 278.602, usercpu_time_millis_testing: 6.015, usercpu_time_millis_training: 272.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5953, f_measure: 0.7693, kappa: 0.093, kb_relative_information_score: -5986.5547, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7517, predictive_accuracy: 0.8018, prior_entropy: 0.6541, recall: 0.8018, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.399, root_relative_squared_error: 1.0662, scimark_benchmark: 1801.6569, usercpu_time_millis: 21.92, usercpu_time_millis_testing: 21.859, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7681, kappa: 0.0581, kb_relative_information_score: -4312.5161, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8258, prior_entropy: 0.6541, recall: 0.8258, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3768, root_relative_squared_error: 1.0069, scimark_benchmark: 1733.5954, usercpu_time_millis: 24.809, usercpu_time_millis_testing: 24.628, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1851.8567, usercpu_time_millis: 23.686, usercpu_time_millis_testing: 23.515, usercpu_time_millis_training: 0.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1858.0974, usercpu_time_millis: 22.324, usercpu_time_millis_testing: 22.141, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5919, f_measure: 0.7681, kappa: 0.0964, kb_relative_information_score: -6102.98, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.751, predictive_accuracy: 0.7962, prior_entropy: 0.6541, recall: 0.7962, relative_absolute_error: 0.9126, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0811, scimark_benchmark: 1734.7321, usercpu_time_millis: 22.559, usercpu_time_millis_testing: 22.372, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.7707, kappa: 0.0898, kb_relative_information_score: -5625.5676, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7534, predictive_accuracy: 0.8085, prior_entropy: 0.6541, recall: 0.8085, relative_absolute_error: 0.9165, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3913, root_relative_squared_error: 1.0455, scimark_benchmark: 1738.3274, usercpu_time_millis: 23.011, usercpu_time_millis_testing: 22.833, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6105, f_measure: 0.7704, kappa: 0.0727, kb_relative_information_score: -4805.2503, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7583, predictive_accuracy: 0.8214, prior_entropy: 0.6541, recall: 0.8214, relative_absolute_error: 0.9216, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3814, root_relative_squared_error: 1.0191, scimark_benchmark: 1805.552, usercpu_time_millis: 23.065, usercpu_time_millis_testing: 22.884, usercpu_time_millis_training: 0.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.603, f_measure: 0.7712, kappa: 0.0849, kb_relative_information_score: -5425.9609, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.755, predictive_accuracy: 0.8139, prior_entropy: 0.6541, recall: 0.8139, relative_absolute_error: 0.9176, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3885, root_relative_squared_error: 1.038, scimark_benchmark: 1806.6761, usercpu_time_millis: 22.376, usercpu_time_millis_testing: 22.187, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1810.2622, usercpu_time_millis: 22.361, usercpu_time_millis_testing: 22.064, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.766, kappa: 0.0477, kb_relative_information_score: -4062.4378, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7617, predictive_accuracy: 0.8276, prior_entropy: 0.6541, recall: 0.8276, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3746, root_relative_squared_error: 1.001, scimark_benchmark: 1798.8036, usercpu_time_millis: 24.412, usercpu_time_millis_testing: 24.221, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6168, f_measure: 0.7681, kappa: 0.0581, kb_relative_information_score: -4312.5161, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8258, prior_entropy: 0.6541, recall: 0.8258, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3768, root_relative_squared_error: 1.0069, scimark_benchmark: 1793.0828, usercpu_time_millis: 23.862, usercpu_time_millis_testing: 23.674, usercpu_time_millis_training: 0.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.607, f_measure: 0.7709, kappa: 0.0784, kb_relative_information_score: -5046.1477, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7561, predictive_accuracy: 0.8177, prior_entropy: 0.6541, recall: 0.8177, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3843, root_relative_squared_error: 1.0269, scimark_benchmark: 1734.2259, usercpu_time_millis: 23.913, usercpu_time_millis_testing: 23.722, usercpu_time_millis_training: 0.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6189, f_measure: 0.7669, kappa: 0.0522, kb_relative_information_score: -4180.6363, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7609, predictive_accuracy: 0.8267, prior_entropy: 0.6541, recall: 0.8267, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.0037, scimark_benchmark: 1812.2451, usercpu_time_millis: 23.918, usercpu_time_millis_testing: 23.743, usercpu_time_millis_training: 0.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7461, kappa: 0.0866, kb_relative_information_score: -6135.5785, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7442, predictive_accuracy: 0.7482, prior_entropy: 0.6541, recall: 0.7482, relative_absolute_error: 0.9069, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1729, scimark_benchmark: 1787.0587, usercpu_time_millis: 21.612, usercpu_time_millis_testing: 21.418, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.625, f_measure: 0.7635, kappa: 0.0359, kb_relative_information_score: -3833.9523, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7626, predictive_accuracy: 0.8291, prior_entropy: 0.6541, recall: 0.8291, relative_absolute_error: 0.9307, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1859.1356, usercpu_time_millis: 24.546, usercpu_time_millis_testing: 24.351, usercpu_time_millis_training: 0.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.7649, kappa: 0.0426, kb_relative_information_score: -3959.6336, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7619, predictive_accuracy: 0.8282, prior_entropy: 0.6541, recall: 0.8282, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9988, scimark_benchmark: 1858.0974, usercpu_time_millis: 24.124, usercpu_time_millis_testing: 23.803, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.605, f_measure: 0.7715, kappa: 0.083, kb_relative_information_score: -5228.7048, mean_absolute_error: 0.2573, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7563, predictive_accuracy: 0.8164, prior_entropy: 0.6541, recall: 0.8164, relative_absolute_error: 0.9186, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3862, root_relative_squared_error: 1.032, scimark_benchmark: 1781.3839, usercpu_time_millis: 22.724, usercpu_time_millis_testing: 22.425, usercpu_time_millis_training: 0.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5797, f_measure: 0.746, kappa: 0.0862, kb_relative_information_score: -6230.8892, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7441, predictive_accuracy: 0.748, prior_entropy: 0.6541, recall: 0.748, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.4228, root_relative_squared_error: 1.1299, scimark_benchmark: 1782.712, usercpu_time_millis: 21.795, usercpu_time_millis_testing: 21.607, usercpu_time_millis_training: 0.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6219, f_measure: 0.7652, kappa: 0.0438, kb_relative_information_score: -4008.8858, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.761, predictive_accuracy: 0.8278, prior_entropy: 0.6541, recall: 0.8278, relative_absolute_error: 0.9288, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1811.3504, usercpu_time_millis: 24.277, usercpu_time_millis_testing: 24.091, usercpu_time_millis_training: 0.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.763, kappa: 0.0335, kb_relative_information_score: -3767.3343, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7641, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9947, scimark_benchmark: 1734.7767, usercpu_time_millis: 26.332, usercpu_time_millis_testing: 26.152, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.763, kappa: 0.0335, kb_relative_information_score: -3767.3343, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7641, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9947, scimark_benchmark: 1735.1328, usercpu_time_millis: 26.345, usercpu_time_millis_testing: 26.167, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6263, f_measure: 0.763, kappa: 0.0335, kb_relative_information_score: -3767.3343, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7641, predictive_accuracy: 0.8296, prior_entropy: 0.6541, recall: 0.8296, relative_absolute_error: 0.9316, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.9947, scimark_benchmark: 1733.3606, usercpu_time_millis: 26.285, usercpu_time_millis_testing: 26.1, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6243, f_measure: 0.7637, kappa: 0.0372, kb_relative_information_score: -3872.7147, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7621, predictive_accuracy: 0.8288, prior_entropy: 0.6541, recall: 0.8288, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1737.8652, usercpu_time_millis: 26.213, usercpu_time_millis_testing: 26.017, usercpu_time_millis_training: 0.196,

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