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: 0.7079, f_measure: 0.7687, kappa: 0.0562, kb_relative_information_score: -1531.1214, mean_absolute_error: 0.2585, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8137, predictive_accuracy: 0.8353, prior_entropy: 0.6541, recall: 0.8353, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.9552, scimark_benchmark: 1227.0289, usercpu_time_millis: 1438.699, usercpu_time_millis_testing: 35.348, usercpu_time_millis_training: 1403.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: -703.9779, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7791, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9901, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1298.2924, usercpu_time_millis: 15694.374, usercpu_time_millis_testing: 48.639, usercpu_time_millis_training: 15645.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.7586, kappa: 0.0143, kb_relative_information_score: 150.2164, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8145, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3724, root_relative_squared_error: 0.995, scimark_benchmark: 1295.7732, usercpu_time_millis: 3902.995, usercpu_time_millis_testing: 23.373, usercpu_time_millis_training: 3879.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 111.7574, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1282.3677, usercpu_time_millis: 4469.083, usercpu_time_millis_testing: 10.561, usercpu_time_millis_training: 4458.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5359, f_measure: 0.7559, kappa: 0.0031, kb_relative_information_score: 87.382, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8286, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1280.338, usercpu_time_millis: 2054.489, usercpu_time_millis_testing: 14.16, usercpu_time_millis_training: 2040.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5849, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 138.2668, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1278.3247, usercpu_time_millis: 10326.327, usercpu_time_millis_testing: 10.85, usercpu_time_millis_training: 10315.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5454, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 86.5948, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1293.9901, usercpu_time_millis: 2854.09, usercpu_time_millis_testing: 13.146, usercpu_time_millis_training: 2840.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5855, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 119.0072, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1309.5123, usercpu_time_millis: 5033.121, usercpu_time_millis_testing: 10.507, usercpu_time_millis_training: 5022.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5848, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: 116.4171, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8137, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1306.1378, usercpu_time_millis: 4209.591, usercpu_time_millis_testing: 10.407, usercpu_time_millis_training: 4199.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5676, f_measure: 0.7562, kappa: 0.0045, kb_relative_information_score: -928.4356, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7845, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.9969, scimark_benchmark: 1275.6871, usercpu_time_millis: 14760.249, usercpu_time_millis_testing: 38.748, usercpu_time_millis_training: 14721.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5966, f_measure: 0.7574, kappa: 0.0095, kb_relative_information_score: 150.2719, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8121, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1306.8914, usercpu_time_millis: 2191.669, usercpu_time_millis_testing: 11.06, usercpu_time_millis_training: 2180.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.0419, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1299.4427, usercpu_time_millis: 2276.862, usercpu_time_millis_testing: 12.333, usercpu_time_millis_training: 2264.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5647, f_measure: 0.7581, kappa: 0.0125, kb_relative_information_score: -787.354, mean_absolute_error: 0.2772, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7896, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9897, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9956, scimark_benchmark: 1307.4046, usercpu_time_millis: 16201.134, usercpu_time_millis_testing: 53.506, usercpu_time_millis_training: 16147.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: 86.6952, mean_absolute_error: 0.2796, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8265, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9991, scimark_benchmark: 1292.3166, usercpu_time_millis: 2606.605, usercpu_time_millis_testing: 12.996, usercpu_time_millis_training: 2593.609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5905, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: 127.6478, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1292.0608, usercpu_time_millis: 7924.954, usercpu_time_millis_testing: 10.237, usercpu_time_millis_training: 7914.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5904, f_measure: 0.7571, kappa: 0.0084, kb_relative_information_score: 114.3935, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.812, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1302.4269, usercpu_time_millis: 3778.122, usercpu_time_millis_testing: 10.778, usercpu_time_millis_training: 3767.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5774, f_measure: 0.7574, kappa: 0.0094, kb_relative_information_score: 169.0941, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8101, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.997, scimark_benchmark: 1275.1359, usercpu_time_millis: 5944.931, usercpu_time_millis_testing: 25.791, usercpu_time_millis_training: 5919.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.7567, kappa: 0.0066, kb_relative_information_score: -1362.1951, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8043, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9875, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9957, scimark_benchmark: 1293.9181, usercpu_time_millis: 3752.697, usercpu_time_millis_testing: 25.406, usercpu_time_millis_training: 3727.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.3634, mean_absolute_error: 0.28, 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: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1297.0827, usercpu_time_millis: 7439.928, usercpu_time_millis_testing: 13.16, usercpu_time_millis_training: 7426.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.7557, kappa: 0.0026, kb_relative_information_score: 76.5525, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.824, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3739, root_relative_squared_error: 0.9992, scimark_benchmark: 1277.3892, usercpu_time_millis: 8991.953, usercpu_time_millis_testing: 11.603, usercpu_time_millis_training: 8980.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.7576, kappa: 0.0104, kb_relative_information_score: -13.1391, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7929, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9928, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1282.4355, usercpu_time_millis: 6990.103, usercpu_time_millis_testing: 27.816, usercpu_time_millis_training: 6962.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5426, f_measure: 0.7572, kappa: 0.0087, kb_relative_information_score: -1051.0654, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8074, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9912, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1279.4335, usercpu_time_millis: 6502.642, usercpu_time_millis_testing: 31.363, usercpu_time_millis_training: 6471.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5517, f_measure: 0.7583, kappa: 0.0131, kb_relative_information_score: -147.4646, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8146, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9953, scimark_benchmark: 1286.0208, usercpu_time_millis: 4368.62, usercpu_time_millis_testing: 24.299, usercpu_time_millis_training: 4344.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.564, f_measure: 0.7562, kappa: 0.0046, kb_relative_information_score: -600.6159, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7513, predictive_accuracy: 0.831, prior_entropy: 0.6541, recall: 0.831, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9967, scimark_benchmark: 1300.5125, usercpu_time_millis: 17720.164, usercpu_time_millis_testing: 49.584, usercpu_time_millis_training: 17670.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5973, f_measure: 0.7571, kappa: 0.0084, kb_relative_information_score: 122.1171, mean_absolute_error: 0.2784, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.812, predictive_accuracy: 0.8321, prior_entropy: 0.6541, recall: 0.8321, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1295.9984, usercpu_time_millis: 3112.806, usercpu_time_millis_testing: 11.355, usercpu_time_millis_training: 3101.451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5978, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: 131.344, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1280.5467, usercpu_time_millis: 2204.531, usercpu_time_millis_testing: 10.906, usercpu_time_millis_training: 2193.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5843, f_measure: 0.7572, kappa: 0.0088, kb_relative_information_score: 137.0947, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8201, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9965, scimark_benchmark: 1302.7888, usercpu_time_millis: 12734.07, usercpu_time_millis_testing: 10.569, usercpu_time_millis_training: 12723.501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5663, f_measure: 0.7579, kappa: 0.0116, kb_relative_information_score: -752.8852, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7886, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.9958, scimark_benchmark: 1268.6155, usercpu_time_millis: 15169.178, usercpu_time_millis_testing: 50.738, usercpu_time_millis_training: 15118.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.7566, kappa: 0.0063, kb_relative_information_score: -702.0774, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7775, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9973, scimark_benchmark: 1312.2912, usercpu_time_millis: 7320.348, usercpu_time_millis_testing: 26.633, usercpu_time_millis_training: 7293.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.7573, kappa: 0.009, kb_relative_information_score: 114.0589, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8125, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9964, scimark_benchmark: 1304.3419, usercpu_time_millis: 6140.919, usercpu_time_millis_testing: 10.593, usercpu_time_millis_training: 6130.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.7591, kappa: 0.0164, kb_relative_information_score: -185.3501, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8081, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9876, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.9944, scimark_benchmark: 1312.1158, usercpu_time_millis: 4145.872, usercpu_time_millis_testing: 25.877, usercpu_time_millis_training: 4119.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5912, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: 106.3387, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.815, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1313.5646, usercpu_time_millis: 2999.963, usercpu_time_millis_testing: 11.236, usercpu_time_millis_training: 2988.727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: 29.0339, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1275.7064, usercpu_time_millis: 15102.043, usercpu_time_millis_testing: 13.727, usercpu_time_millis_training: 15088.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5998, f_measure: 0.7576, kappa: 0.0104, kb_relative_information_score: 111.9571, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8133, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1314.4384, usercpu_time_millis: 2841.329, usercpu_time_millis_testing: 10.294, usercpu_time_millis_training: 2831.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5432, f_measure: 0.7583, kappa: 0.013, kb_relative_information_score: -1399.4911, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8171, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9954, scimark_benchmark: 1307.7762, usercpu_time_millis: 3658.891, usercpu_time_millis_testing: 24.613, usercpu_time_millis_training: 3634.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5917, f_measure: 0.7577, kappa: 0.0107, kb_relative_information_score: 133.4234, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.816, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3727, root_relative_squared_error: 0.996, scimark_benchmark: 1311.2503, usercpu_time_millis: 2399.777, usercpu_time_millis_testing: 11.226, usercpu_time_millis_training: 2388.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5909, f_measure: 0.7567, kappa: 0.0065, kb_relative_information_score: 155.5288, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8083, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9972, scimark_benchmark: 1267.4596, usercpu_time_millis: 7178.444, usercpu_time_millis_testing: 25.925, usercpu_time_millis_training: 7152.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.7582, kappa: 0.0126, kb_relative_information_score: 139.3401, mean_absolute_error: 0.2673, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8133, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1304.775, usercpu_time_millis: 3715.66, usercpu_time_millis_testing: 24.748, usercpu_time_millis_training: 3690.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5915, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: 119.2997, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.815, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9961, scimark_benchmark: 1283.6216, usercpu_time_millis: 3097.117, usercpu_time_millis_testing: 11.842, usercpu_time_millis_training: 3085.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.7552, kappa: 0.0004, kb_relative_information_score: 21.788, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8038, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1311.3301, usercpu_time_millis: 4006.678, usercpu_time_millis_testing: 12.855, usercpu_time_millis_training: 3993.823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.7576, kappa: 0.0101, kb_relative_information_score: 112.0885, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8178, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9963, scimark_benchmark: 1297.5748, usercpu_time_millis: 5440.769, usercpu_time_millis_testing: 11.321, usercpu_time_millis_training: 5429.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.7575, kappa: 0.0097, kb_relative_information_score: 127.1976, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8208, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.9963, scimark_benchmark: 1266.6497, usercpu_time_millis: 8256.785, usercpu_time_millis_testing: 11.008, usercpu_time_millis_training: 8245.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.7715, kappa: 0.0687, kb_relative_information_score: -2553.477, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9621, scimark_benchmark: 1220.107, usercpu_time_millis: 4638.09, usercpu_time_millis_testing: 47.1, usercpu_time_millis_training: 4590.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -1772.0734, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8283, predictive_accuracy: 0.8324, prior_entropy: 0.6541, recall: 0.8324, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9661, scimark_benchmark: 1237.1286, usercpu_time_millis: 1821.601, usercpu_time_millis_testing: 104.766, usercpu_time_millis_training: 1716.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7648, kappa: 0.0401, kb_relative_information_score: -1962.2012, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8336, prior_entropy: 0.6541, recall: 0.8336, relative_absolute_error: 0.9314, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3592, root_relative_squared_error: 0.9599, scimark_benchmark: 1260.2844, usercpu_time_millis: 4724.384, usercpu_time_millis_testing: 125.194, usercpu_time_millis_training: 4599.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7588, kappa: 0.0153, kb_relative_information_score: -2438.4607, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7945, predictive_accuracy: 0.8322, prior_entropy: 0.6541, recall: 0.8322, relative_absolute_error: 0.9364, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.965, scimark_benchmark: 1250.4023, usercpu_time_millis: 2234.054, usercpu_time_millis_testing: 59.745, usercpu_time_millis_training: 2174.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.7575, kappa: 0.01, kb_relative_information_score: 104.5487, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8137, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.9962, scimark_benchmark: 1313.1601, usercpu_time_millis: 4587.145, usercpu_time_millis_testing: 10.413, usercpu_time_millis_training: 4576.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5617, f_measure: 0.7575, kappa: 0.0098, kb_relative_information_score: -906.1078, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7899, predictive_accuracy: 0.8319, prior_entropy: 0.6541, recall: 0.8319, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.9955, scimark_benchmark: 1301.1002, usercpu_time_millis: 11489.676, usercpu_time_millis_testing: 45.121, usercpu_time_millis_training: 11444.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.7581, kappa: 0.0121, kb_relative_information_score: 57.3159, mean_absolute_error: 0.2782, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.804, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.373, root_relative_squared_error: 0.9966, scimark_benchmark: 1311.8417, usercpu_time_millis: 5316.143, usercpu_time_millis_testing: 25.259, usercpu_time_millis_training: 5290.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7558, kappa: 0.0028, kb_relative_information_score: -2467.192, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7791, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9481, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.9679, scimark_benchmark: 1245.2143, usercpu_time_millis: 1339.493, usercpu_time_millis_testing: 74.606, usercpu_time_millis_training: 1264.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7726, kappa: 0.0736, kb_relative_information_score: -2929.9075, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8349, prior_entropy: 0.6541, recall: 0.8349, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9626, scimark_benchmark: 1231.0451, usercpu_time_millis: 2231.897, usercpu_time_millis_testing: 36.908, usercpu_time_millis_training: 2194.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7704, kappa: 0.0641, kb_relative_information_score: -2323.694, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7989, predictive_accuracy: 0.8344, prior_entropy: 0.6541, recall: 0.8344, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.9632, scimark_benchmark: 1265.5815, usercpu_time_millis: 535.876, usercpu_time_millis_testing: 5.008, usercpu_time_millis_training: 530.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7557, kappa: 0.0022, kb_relative_information_score: -2395.0807, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7799, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9444, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1253.0261, usercpu_time_millis: 1965.888, usercpu_time_millis_testing: 69.463, usercpu_time_millis_training: 1896.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2647.5344, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9578, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.9721, scimark_benchmark: 1257.3044, usercpu_time_millis: 163.247, usercpu_time_millis_testing: 9.573, usercpu_time_millis_training: 153.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7637, kappa: 0.0355, kb_relative_information_score: -2858.1054, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7944, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9378, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1259.7682, usercpu_time_millis: 2430.398, usercpu_time_millis_testing: 71.144, usercpu_time_millis_training: 2359.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.7599, kappa: 0.0198, kb_relative_information_score: -2422.9505, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7991, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9358, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9651, scimark_benchmark: 1261.2095, usercpu_time_millis: 2671.277, usercpu_time_millis_testing: 70.487, usercpu_time_millis_training: 2600.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6992, f_measure: 0.758, kappa: 0.0118, kb_relative_information_score: -1758.724, mean_absolute_error: 0.2666, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8245, predictive_accuracy: 0.8325, prior_entropy: 0.6541, recall: 0.8325, relative_absolute_error: 0.9518, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3614, root_relative_squared_error: 0.9657, scimark_benchmark: 1241.8295, usercpu_time_millis: 1176.083, usercpu_time_millis_testing: 78.299, usercpu_time_millis_training: 1097.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.7704, kappa: 0.0638, kb_relative_information_score: -2470.3019, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8017, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9265, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9603, scimark_benchmark: 1249.5967, usercpu_time_millis: 2830.726, usercpu_time_millis_testing: 58.498, usercpu_time_millis_training: 2772.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7589, kappa: 0.0158, kb_relative_information_score: -2447.2046, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7965, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.9661, scimark_benchmark: 1225.4243, usercpu_time_millis: 2480.485, usercpu_time_millis_testing: 66.397, usercpu_time_millis_training: 2414.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6866, f_measure: 0.7592, kappa: 0.0169, kb_relative_information_score: -2542.9944, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.808, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9464, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.968, scimark_benchmark: 1251.084, usercpu_time_millis: 1179.678, usercpu_time_millis_testing: 69.446, usercpu_time_millis_training: 1110.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.7588, kappa: 0.0151, kb_relative_information_score: -1742.0267, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8326, 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: 1257.8538, usercpu_time_millis: 783.567, usercpu_time_millis_testing: 37.385, usercpu_time_millis_training: 746.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.7668, kappa: 0.0488, kb_relative_information_score: -2432.4449, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8023, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.9617, scimark_benchmark: 1263.2327, usercpu_time_millis: 2293.279, usercpu_time_millis_testing: 63.7, usercpu_time_millis_training: 2229.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.7588, kappa: 0.0152, kb_relative_information_score: -2679.0585, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.769, predictive_accuracy: 0.8312, prior_entropy: 0.6541, recall: 0.8312, relative_absolute_error: 0.9402, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9695, scimark_benchmark: 1256.8602, usercpu_time_millis: 2038.834, usercpu_time_millis_testing: 40.464, usercpu_time_millis_training: 1998.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.7559, kappa: 0.0032, kb_relative_information_score: -1766.2556, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8096, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1264.0304, usercpu_time_millis: 1573.397, usercpu_time_millis_testing: 80.194, usercpu_time_millis_training: 1493.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6871, f_measure: 0.7737, kappa: 0.0784, kb_relative_information_score: -3703.7639, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.794, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3612, root_relative_squared_error: 0.9652, scimark_benchmark: 1243.3309, usercpu_time_millis: 1674.297, usercpu_time_millis_testing: 32.063, usercpu_time_millis_training: 1642.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.7692, kappa: 0.0588, kb_relative_information_score: -3485.8068, mean_absolute_error: 0.2641, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1226.3973, usercpu_time_millis: 3180.6, usercpu_time_millis_testing: 73.53, usercpu_time_millis_training: 3107.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.7614, kappa: 0.0261, kb_relative_information_score: -2403.6405, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7999, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9318, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9635, scimark_benchmark: 1231.886, usercpu_time_millis: 4878.11, usercpu_time_millis_testing: 74.4, usercpu_time_millis_training: 4803.71,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7551, kb_relative_information_score: -1934.4818, mean_absolute_error: 0.2685, 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: 0.9585, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3631, root_relative_squared_error: 0.9702, scimark_benchmark: 1227.564, usercpu_time_millis: 637.028, usercpu_time_millis_testing: 42.642, usercpu_time_millis_training: 594.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7677, kappa: 0.0524, kb_relative_information_score: -2538.4817, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7975, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9304, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.9623, scimark_benchmark: 1223.2143, usercpu_time_millis: 410.36, usercpu_time_millis_testing: 7.712, usercpu_time_millis_training: 402.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6923, f_measure: 0.76, kappa: 0.02, kb_relative_information_score: -2423.7126, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7995, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9357, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.965, scimark_benchmark: 1206.9471, usercpu_time_millis: 2444.099, usercpu_time_millis_testing: 64.052, usercpu_time_millis_training: 2380.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6833, f_measure: 0.7769, kappa: 0.0933, kb_relative_information_score: -3615.4684, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7887, predictive_accuracy: 0.8332, prior_entropy: 0.6541, recall: 0.8332, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.9693, scimark_benchmark: 1240.6241, usercpu_time_millis: 894.471, usercpu_time_millis_testing: 14.982, usercpu_time_millis_training: 879.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6933, f_measure: 0.7604, kappa: 0.0219, kb_relative_information_score: -2367.3812, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7976, predictive_accuracy: 0.8326, prior_entropy: 0.6541, recall: 0.8326, relative_absolute_error: 0.9338, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9642, scimark_benchmark: 1244.4937, usercpu_time_millis: 3707.977, usercpu_time_millis_testing: 84.465, usercpu_time_millis_training: 3623.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.7582, kappa: 0.0128, kb_relative_information_score: -2540.5987, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7839, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9377, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.9669, scimark_benchmark: 1258.9664, usercpu_time_millis: 1622.984, usercpu_time_millis_testing: 37.649, usercpu_time_millis_training: 1585.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7599, kappa: 0.0196, kb_relative_information_score: -2455.0006, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7913, predictive_accuracy: 0.8323, prior_entropy: 0.6541, recall: 0.8323, relative_absolute_error: 0.9345, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.361, root_relative_squared_error: 0.9647, scimark_benchmark: 1259.975, usercpu_time_millis: 4786.652, usercpu_time_millis_testing: 98.037, usercpu_time_millis_training: 4688.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.7551, kb_relative_information_score: -1930.4984, mean_absolute_error: 0.2687, 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: 0.9591, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3632, root_relative_squared_error: 0.9706, scimark_benchmark: 1251.8979, usercpu_time_millis: 1245.294, usercpu_time_millis_testing: 74.355, usercpu_time_millis_training: 1170.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.7552, kappa: 0.0002, kb_relative_information_score: 15.2595, mean_absolute_error: 0.28, 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: 0.9996, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9999, scimark_benchmark: 1279.3868, usercpu_time_millis: 9214.534, usercpu_time_millis_testing: 12.053, usercpu_time_millis_training: 9202.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5535, f_measure: 0.7595, kappa: 0.0181, kb_relative_information_score: -561.0548, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8069, predictive_accuracy: 0.8327, prior_entropy: 0.6541, recall: 0.8327, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.372, root_relative_squared_error: 0.9939, scimark_benchmark: 1295.7865, usercpu_time_millis: 3876.96, usercpu_time_millis_testing: 22.952, usercpu_time_millis_training: 3854.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7729, kappa: 0.0747, kb_relative_information_score: -2483.8249, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7979, predictive_accuracy: 0.8346, prior_entropy: 0.6541, recall: 0.8346, relative_absolute_error: 0.9202, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3608, root_relative_squared_error: 0.9641, scimark_benchmark: 1289.8755, usercpu_time_millis: 5976.681, usercpu_time_millis_testing: 56.139, usercpu_time_millis_training: 5920.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.7687, kappa: 0.057, kb_relative_information_score: -2485.9345, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7957, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.9293, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1257.3256, usercpu_time_millis: 963.15, usercpu_time_millis_testing: 12.402, usercpu_time_millis_training: 950.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7661, kappa: 0.0458, kb_relative_information_score: -2550.4892, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8001, predictive_accuracy: 0.8338, prior_entropy: 0.6541, recall: 0.8338, relative_absolute_error: 0.935, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.9615, scimark_benchmark: 1236.6474, usercpu_time_millis: 871.457, usercpu_time_millis_testing: 34.224, usercpu_time_millis_training: 837.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6857, f_measure: 0.7699, kappa: 0.0618, kb_relative_information_score: -2674.7038, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7967, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9269, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1252.4892, usercpu_time_millis: 153.371, usercpu_time_millis_testing: 2.295, usercpu_time_millis_training: 151.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.7605, kappa: 0.0223, kb_relative_information_score: -2184.6641, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8157, predictive_accuracy: 0.8331, prior_entropy: 0.6541, recall: 0.8331, relative_absolute_error: 0.9385, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.9625, scimark_benchmark: 1257.9763, usercpu_time_millis: 1345.227, usercpu_time_millis_testing: 61.655, usercpu_time_millis_training: 1283.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.7559, kappa: 0.0034, kb_relative_information_score: -1921.4513, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8121, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9558, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1258.7929, usercpu_time_millis: 662.826, usercpu_time_millis_testing: 49.279, usercpu_time_millis_training: 613.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7551, kb_relative_information_score: -2037.8436, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9637, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.973, scimark_benchmark: 1251.3357, usercpu_time_millis: 257.029, usercpu_time_millis_testing: 21.425, usercpu_time_millis_training: 235.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.767, kappa: 0.0493, kb_relative_information_score: -2173.1469, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8029, predictive_accuracy: 0.8341, prior_entropy: 0.6541, recall: 0.8341, relative_absolute_error: 0.9303, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1227.7398, usercpu_time_millis: 875.925, usercpu_time_millis_testing: 30.494, usercpu_time_millis_training: 845.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6999, f_measure: 0.7606, kappa: 0.0226, kb_relative_information_score: -2045.6591, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.81, predictive_accuracy: 0.833, prior_entropy: 0.6541, recall: 0.833, relative_absolute_error: 0.9347, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.9613, scimark_benchmark: 1252.2446, usercpu_time_millis: 1708.311, usercpu_time_millis_testing: 49.204, usercpu_time_millis_training: 1659.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.7697, kappa: 0.0609, kb_relative_information_score: -2998.3901, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7986, predictive_accuracy: 0.8342, prior_entropy: 0.6541, recall: 0.8342, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.963, scimark_benchmark: 1296.3669, usercpu_time_millis: 5563.35, usercpu_time_millis_testing: 92.155, usercpu_time_millis_training: 5471.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.7688, kappa: 0.0571, kb_relative_information_score: -2122.8226, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.805, predictive_accuracy: 0.8347, prior_entropy: 0.6541, recall: 0.8347, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.9588, scimark_benchmark: 1234.2962, usercpu_time_millis: 874.198, usercpu_time_millis_testing: 28.08, usercpu_time_millis_training: 846.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6909, f_measure: 0.7558, kappa: 0.003, kb_relative_information_score: -2386.7127, mean_absolute_error: 0.2642, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7789, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.9664, scimark_benchmark: 1227.4609, usercpu_time_millis: 1211.97, usercpu_time_millis_testing: 43.767, usercpu_time_millis_training: 1168.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.7551, kappa: -0.0002, kb_relative_information_score: -2022.1599, mean_absolute_error: 0.2686, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.6915, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.9694, scimark_benchmark: 1254.0921, usercpu_time_millis: 855.966, usercpu_time_millis_testing: 63.262, usercpu_time_millis_training: 792.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7612, kappa: 0.0252, kb_relative_information_score: -2490.2056, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8016, predictive_accuracy: 0.8329, prior_entropy: 0.6541, recall: 0.8329, relative_absolute_error: 0.9367, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.9655, scimark_benchmark: 1288.1311, usercpu_time_millis: 2712.177, usercpu_time_millis_testing: 70.451, usercpu_time_millis_training: 2641.726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.758, kappa: 0.0119, kb_relative_information_score: -2441.5281, mean_absolute_error: 0.2626, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7903, predictive_accuracy: 0.832, prior_entropy: 0.6541, recall: 0.832, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3615, root_relative_squared_error: 0.9659, scimark_benchmark: 1295.7739, usercpu_time_millis: 2050.932, usercpu_time_millis_testing: 49.728, usercpu_time_millis_training: 2001.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.687, f_measure: 0.7585, kappa: 0.0141, kb_relative_information_score: -2591.6273, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7798, predictive_accuracy: 0.8317, prior_entropy: 0.6541, recall: 0.8317, relative_absolute_error: 0.9382, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1279.5995, usercpu_time_millis: 3894.181, usercpu_time_millis_testing: 85.399, usercpu_time_millis_training: 3808.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7594, kappa: 0.018, kb_relative_information_score: -2617.9713, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7753, predictive_accuracy: 0.8315, prior_entropy: 0.6541, recall: 0.8315, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.362, root_relative_squared_error: 0.9672, scimark_benchmark: 1267.5486, usercpu_time_millis: 3806.695, usercpu_time_millis_testing: 73.891, usercpu_time_millis_training: 3732.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7682, kappa: 0.0549, kb_relative_information_score: -3164.4213, mean_absolute_error: 0.2631, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7958, predictive_accuracy: 0.8337, prior_entropy: 0.6541, recall: 0.8337, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.9636, scimark_benchmark: 1288.7382, usercpu_time_millis: 3094.268, usercpu_time_millis_testing: 72.64, usercpu_time_millis_training: 3021.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7592, kappa: 0.0171, kb_relative_information_score: -2651.4507, mean_absolute_error: 0.2623, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7738, predictive_accuracy: 0.8314, prior_entropy: 0.6541, recall: 0.8314, relative_absolute_error: 0.9365, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3621, root_relative_squared_error: 0.9675, scimark_benchmark: 1276.5309, usercpu_time_millis: 2508.762, usercpu_time_millis_testing: 45.318, usercpu_time_millis_training: 2463.444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7564, kappa: 0.0055, kb_relative_information_score: -3089.0673, mean_absolute_error: 0.2689, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7892, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9599, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.9747, scimark_benchmark: 1247.239, usercpu_time_millis: 14.108, usercpu_time_millis_testing: 0.868, usercpu_time_millis_training: 13.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.7568, kappa: 0.0068, kb_relative_information_score: -533.757, mean_absolute_error: 0.2783, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.7918, predictive_accuracy: 0.8318, prior_entropy: 0.6541, recall: 0.8318, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3732, root_relative_squared_error: 0.9971, scimark_benchmark: 1295.6144, usercpu_time_millis: 17313.248, usercpu_time_millis_testing: 33.393, usercpu_time_millis_training: 17279.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.769, kappa: 0.0579, kb_relative_information_score: -2203.9747, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8005, predictive_accuracy: 0.8343, prior_entropy: 0.6541, recall: 0.8343, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3594, root_relative_squared_error: 0.9604, scimark_benchmark: 1242.8759, usercpu_time_millis: 1247.165, usercpu_time_millis_testing: 20.553, usercpu_time_millis_training: 1226.612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5204, f_measure: 0.7553, kappa: 0.0007, kb_relative_information_score: 25.1131, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.2801, number_of_instances: 39948, precision: 0.8179, predictive_accuracy: 0.8316, prior_entropy: 0.6541, recall: 0.8316, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.3742, root_mean_squared_error: 0.3742, root_relative_squared_error: 0.9998, scimark_benchmark: 1230.5033, usercpu_time_millis: 4988.998, usercpu_time_millis_testing: 13.265, usercpu_time_millis_training: 4975.733,

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