OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9368 runs submitted
1 likes downloaded by 9 people , 11 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

9368 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: 0.8511, f_measure: 0.774, kappa: 0.5448, kb_relative_information_score: 1624.8321, mean_absolute_error: 0.2924, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.774, predictive_accuracy: 0.7739, prior_entropy: 0.9948, recall: 0.7739, relative_absolute_error: 0.5889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7944, scimark_benchmark: 1742.6594, usercpu_time_millis: 9.166, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 8.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8036, kappa: 0.6039, kb_relative_information_score: 1696.4034, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8039, predictive_accuracy: 0.8041, prior_entropy: 0.9948, recall: 0.8041, relative_absolute_error: 0.5785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7559, scimark_benchmark: 1740.5857, usercpu_time_millis: 7019.97, usercpu_time_millis_testing: 3.448, usercpu_time_millis_training: 7016.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.7815, kappa: 0.5592, kb_relative_information_score: 1440.8187, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.782, predictive_accuracy: 0.7822, prior_entropy: 0.9948, recall: 0.7822, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.791, scimark_benchmark: 1982.551, usercpu_time_millis: 6650.059, usercpu_time_millis_testing: 2.663, usercpu_time_millis_training: 6647.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8778, f_measure: 0.8106, kappa: 0.6181, kb_relative_information_score: 1674.2912, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8108, predictive_accuracy: 0.811, prior_entropy: 0.9948, recall: 0.811, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3745, root_relative_squared_error: 0.7516, scimark_benchmark: 2060.5752, usercpu_time_millis: 4555.873, usercpu_time_millis_testing: 3.067, usercpu_time_millis_training: 4552.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.799, kappa: 0.5945, kb_relative_information_score: 1582.1314, mean_absolute_error: 0.3043, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7994, predictive_accuracy: 0.7995, prior_entropy: 0.9948, recall: 0.7995, relative_absolute_error: 0.6129, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1992.8242, usercpu_time_millis: 3999.482, usercpu_time_millis_testing: 3.059, usercpu_time_millis_training: 3996.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8607, f_measure: 0.7933, kappa: 0.5831, kb_relative_information_score: 1470.2826, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7934, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3889, root_relative_squared_error: 0.7806, scimark_benchmark: 2014.3242, usercpu_time_millis: 3916.048, usercpu_time_millis_testing: 2.843, usercpu_time_millis_training: 3913.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8437, f_measure: 0.7802, kappa: 0.5565, kb_relative_information_score: 1335.4194, mean_absolute_error: 0.3371, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7812, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4007, root_relative_squared_error: 0.8043, scimark_benchmark: 1851.4874, usercpu_time_millis: 3864.068, usercpu_time_millis_testing: 2.873, usercpu_time_millis_training: 3861.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.8026, kappa: 0.6019, kb_relative_information_score: 1615.9207, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8028, predictive_accuracy: 0.803, prior_entropy: 0.9948, recall: 0.803, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3784, root_relative_squared_error: 0.7596, scimark_benchmark: 2011.9672, usercpu_time_millis: 3580.78, usercpu_time_millis_testing: 3.101, usercpu_time_millis_training: 3577.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8745, f_measure: 0.8069, kappa: 0.6107, kb_relative_information_score: 1532.4247, mean_absolute_error: 0.3119, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.807, predictive_accuracy: 0.8073, prior_entropy: 0.9948, recall: 0.8073, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.38, root_relative_squared_error: 0.7628, scimark_benchmark: 1841.6847, usercpu_time_millis: 2848.607, usercpu_time_millis_testing: 4.94, usercpu_time_millis_training: 2843.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1560.1312, mean_absolute_error: 0.307, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8004, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6185, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.7673, scimark_benchmark: 1993.6841, usercpu_time_millis: 2837.366, usercpu_time_millis_testing: 1.907, usercpu_time_millis_training: 2835.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.7993, kappa: 0.5951, kb_relative_information_score: 1531.583, mean_absolute_error: 0.3113, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7996, predictive_accuracy: 0.7998, prior_entropy: 0.9948, recall: 0.7998, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7713, scimark_benchmark: 1834.1796, usercpu_time_millis: 2535.911, usercpu_time_millis_testing: 3.366, usercpu_time_millis_training: 2532.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.7752, kappa: 0.5464, kb_relative_information_score: 1294.9991, mean_absolute_error: 0.3427, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7766, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6903, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1838.1471, usercpu_time_millis: 2069.975, usercpu_time_millis_testing: 3.19, usercpu_time_millis_training: 2066.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7772, kappa: 0.5504, kb_relative_information_score: 1454.2993, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7778, predictive_accuracy: 0.7779, prior_entropy: 0.9948, recall: 0.7779, relative_absolute_error: 0.6448, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7933, scimark_benchmark: 1991.57, usercpu_time_millis: 1693.691, usercpu_time_millis_testing: 1.15, usercpu_time_millis_training: 1692.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7931, kappa: 0.5826, kb_relative_information_score: 1481.8613, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7935, predictive_accuracy: 0.7937, prior_entropy: 0.9948, recall: 0.7937, relative_absolute_error: 0.6406, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7797, scimark_benchmark: 1843.2539, usercpu_time_millis: 1662.111, usercpu_time_millis_testing: 2.809, usercpu_time_millis_training: 1659.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8296, f_measure: 0.7595, kappa: 0.5147, kb_relative_information_score: 1250.8937, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7618, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8227, scimark_benchmark: 1934.3485, usercpu_time_millis: 1437.645, usercpu_time_millis_testing: 1.958, usercpu_time_millis_training: 1435.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8115, kappa: 0.62, kb_relative_information_score: 1682.9778, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8116, predictive_accuracy: 0.8118, prior_entropy: 0.9948, recall: 0.8118, relative_absolute_error: 0.585, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7461, scimark_benchmark: 2057.5193, usercpu_time_millis: 1415.885, usercpu_time_millis_testing: 3.163, usercpu_time_millis_training: 1412.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 1357.1304, mean_absolute_error: 0.333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7632, predictive_accuracy: 0.7617, prior_entropy: 0.9948, recall: 0.7617, relative_absolute_error: 0.6708, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8111, scimark_benchmark: 1915.0992, usercpu_time_millis: 1312.255, usercpu_time_millis_testing: 1.151, usercpu_time_millis_training: 1311.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8262, f_measure: 0.7625, kappa: 0.5209, kb_relative_information_score: 1203.4095, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7661, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4109, root_relative_squared_error: 0.8247, scimark_benchmark: 1841.1596, usercpu_time_millis: 1091.883, usercpu_time_millis_testing: 1.825, usercpu_time_millis_training: 1090.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8241, f_measure: 0.7561, kappa: 0.5079, kb_relative_information_score: 1143.6151, mean_absolute_error: 0.3643, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7587, predictive_accuracy: 0.7579, prior_entropy: 0.9948, recall: 0.7579, relative_absolute_error: 0.7338, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8319, scimark_benchmark: 1988.1218, usercpu_time_millis: 787.073, usercpu_time_millis_testing: 1.718, usercpu_time_millis_training: 785.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.812, kappa: 0.6208, kb_relative_information_score: 1569.4701, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8121, predictive_accuracy: 0.8123, prior_entropy: 0.9948, recall: 0.8123, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7535, scimark_benchmark: 1825.6967, usercpu_time_millis: 636.181, usercpu_time_millis_testing: 3.118, usercpu_time_millis_training: 633.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8095, kappa: 0.6158, kb_relative_information_score: 1492.6191, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8098, predictive_accuracy: 0.8099, prior_entropy: 0.9948, recall: 0.8099, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7639, scimark_benchmark: 1911.3535, usercpu_time_millis: 365.058, usercpu_time_millis_testing: 2.239, usercpu_time_millis_training: 362.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 964.3379, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7819, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.879, scimark_benchmark: 1735.5816, usercpu_time_millis: 279.232, usercpu_time_millis_testing: 1.3, usercpu_time_millis_training: 277.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7783, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 890.7866, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8014, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1801.857, usercpu_time_millis: 249.961, usercpu_time_millis_testing: 1.231, usercpu_time_millis_training: 248.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.7841, kappa: 0.5643, kb_relative_information_score: 1401.4905, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7849, predictive_accuracy: 0.7849, prior_entropy: 0.9948, recall: 0.7849, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7939, scimark_benchmark: 1932.6774, usercpu_time_millis: 225.304, usercpu_time_millis_testing: 0.889, usercpu_time_millis_training: 224.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8213, f_measure: 0.756, kappa: 0.5079, kb_relative_information_score: 1163.5072, mean_absolute_error: 0.3614, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7604, predictive_accuracy: 0.7585, prior_entropy: 0.9948, recall: 0.7585, relative_absolute_error: 0.7279, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8325, scimark_benchmark: 1998.7366, usercpu_time_millis: 122.841, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 122.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7471, kappa: 0.4897, kb_relative_information_score: 850.6388, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7482, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8602, scimark_benchmark: 1948.0394, usercpu_time_millis: 28.906, usercpu_time_millis_testing: 0.67, usercpu_time_millis_training: 28.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7716, kappa: 0.5391, kb_relative_information_score: 1307.1553, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7721, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8067, scimark_benchmark: 1994.2804, usercpu_time_millis: 19.18, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 18.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.7525, kappa: 0.5007, kb_relative_information_score: 1168.8874, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7561, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.7263, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8352, scimark_benchmark: 1988.0489, usercpu_time_millis: 30.872, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 30.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4988, f_measure: 0.3813, kb_relative_information_score: 0.0671, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.9558, usercpu_time_millis: 4.613, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 3.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.137, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1828.6072, usercpu_time_millis: 7.782, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 6.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7777, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 880.2088, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.8793, scimark_benchmark: 1833.1413, usercpu_time_millis: 200.98, usercpu_time_millis_testing: 1.219, usercpu_time_millis_training: 199.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3813, kb_relative_information_score: -0.206, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.9039, usercpu_time_millis: 4.198, usercpu_time_millis_testing: 0.668, usercpu_time_millis_training: 3.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0382, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.8437, usercpu_time_millis: 7.113, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 6.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 968.6542, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7808, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8782, scimark_benchmark: 1818.852, usercpu_time_millis: 156.283, usercpu_time_millis_testing: 0.981, usercpu_time_millis_training: 155.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.851, f_measure: 0.7837, kappa: 0.5637, kb_relative_information_score: 1384.3591, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.397, root_relative_squared_error: 0.7968, scimark_benchmark: 1955.117, usercpu_time_millis: 9.985, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 9.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7582, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 927.0404, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4385, root_relative_squared_error: 0.8801, scimark_benchmark: 1837.0722, usercpu_time_millis: 15.589, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 14.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1959, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1902.2758, usercpu_time_millis: 3.995, usercpu_time_millis_testing: 0.62, usercpu_time_millis_training: 3.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1111, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1837.7222, usercpu_time_millis: 7.301, usercpu_time_millis_testing: 1.168, usercpu_time_millis_training: 6.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8124, f_measure: 0.7523, kappa: 0.5004, kb_relative_information_score: 1029.5446, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7655, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8468, scimark_benchmark: 1832.6275, usercpu_time_millis: 43.673, usercpu_time_millis_testing: 0.778, usercpu_time_millis_training: 42.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7983, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 892.3798, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8711, scimark_benchmark: 1841.2811, usercpu_time_millis: 133.972, usercpu_time_millis_testing: 1.247, usercpu_time_millis_training: 132.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.761, kappa: 0.5178, kb_relative_information_score: 1052.9757, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7628, predictive_accuracy: 0.7625, prior_entropy: 0.9948, recall: 0.7625, relative_absolute_error: 0.7586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4161, root_relative_squared_error: 0.8351, scimark_benchmark: 1951.8131, usercpu_time_millis: 111.646, usercpu_time_millis_testing: 0.929, usercpu_time_millis_training: 110.717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7369, kappa: 0.4709, kb_relative_information_score: 661.7379, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7376, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8583, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.8921, scimark_benchmark: 1914.3394, usercpu_time_millis: 60.879, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 59.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7514, kappa: 0.4984, kb_relative_information_score: 1065.566, mean_absolute_error: 0.3752, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.753, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.841, scimark_benchmark: 1844.2336, usercpu_time_millis: 151.19, usercpu_time_millis_testing: 0.939, usercpu_time_millis_training: 150.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.7498, kappa: 0.4951, kb_relative_information_score: 1025.4478, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7509, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.7667, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8467, scimark_benchmark: 1843.2259, usercpu_time_millis: 79.364, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 78.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7377, kappa: 0.4728, kb_relative_information_score: 880.4682, mean_absolute_error: 0.3992, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7387, predictive_accuracy: 0.7374, prior_entropy: 0.9948, recall: 0.7374, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.87, scimark_benchmark: 1842.3073, usercpu_time_millis: 62.4, usercpu_time_millis_testing: 0.843, usercpu_time_millis_training: 61.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, f_measure: 0.7711, kappa: 0.5382, kb_relative_information_score: 978.1934, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7712, predictive_accuracy: 0.7715, prior_entropy: 0.9948, recall: 0.7715, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8346, scimark_benchmark: 1834.6918, usercpu_time_millis: 42.097, usercpu_time_millis_testing: 2.765, usercpu_time_millis_training: 39.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0203, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1838.2468, usercpu_time_millis: 7.48, usercpu_time_millis_testing: 1.081, usercpu_time_millis_training: 6.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 938.4583, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7889, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8752, scimark_benchmark: 1835.778, usercpu_time_millis: 70.455, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 69.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.6965, kappa: 0.3878, kb_relative_information_score: 428.3778, mean_absolute_error: 0.4521, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.6993, prior_entropy: 0.9948, recall: 0.6993, relative_absolute_error: 0.9107, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9254, scimark_benchmark: 1835.6541, usercpu_time_millis: 32.403, usercpu_time_millis_testing: 1.878, usercpu_time_millis_training: 30.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0193, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1837.132, usercpu_time_millis: 7.8, usercpu_time_millis_testing: 1.401, usercpu_time_millis_training: 6.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.72, kappa: 0.435, kb_relative_information_score: 477.3597, mean_absolute_error: 0.4468, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7213, predictive_accuracy: 0.7217, prior_entropy: 0.9948, recall: 0.7217, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9171, scimark_benchmark: 1828.6642, usercpu_time_millis: 31.333, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 30.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.7527, kappa: 0.5011, kb_relative_information_score: 1277.7713, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7557, predictive_accuracy: 0.7547, prior_entropy: 0.9948, recall: 0.7547, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.8268, scimark_benchmark: 1845.9238, usercpu_time_millis: 199.19, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 198.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0706, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1843.2259, usercpu_time_millis: 8.212, usercpu_time_millis_testing: 1.365, usercpu_time_millis_training: 6.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: 0.1495, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1845.7835, usercpu_time_millis: 4.64, usercpu_time_millis_testing: 0.726, usercpu_time_millis_training: 3.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0762, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1839.2774, usercpu_time_millis: 8.265, usercpu_time_millis_testing: 1.221, usercpu_time_millis_training: 7.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7536, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 977.0977, mean_absolute_error: 0.3864, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7784, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8812, scimark_benchmark: 1841.1522, usercpu_time_millis: 302.145, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 300.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7793, kappa: 0.5547, kb_relative_information_score: 1098.2364, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7795, predictive_accuracy: 0.7798, prior_entropy: 0.9948, recall: 0.7798, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.407, root_relative_squared_error: 0.8169, scimark_benchmark: 2049.3862, usercpu_time_millis: 36.709, usercpu_time_millis_testing: 1.974, usercpu_time_millis_training: 34.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.0848, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1842.8383, usercpu_time_millis: 8.598, usercpu_time_millis_testing: 1.271, usercpu_time_millis_training: 7.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1694, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 2047.2305, usercpu_time_millis: 7.064, usercpu_time_millis_testing: 1.142, usercpu_time_millis_training: 5.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 927.1438, mean_absolute_error: 0.3931, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.436, root_relative_squared_error: 0.8751, scimark_benchmark: 1855.6669, usercpu_time_millis: 198.319, usercpu_time_millis_testing: 1.471, usercpu_time_millis_training: 196.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7991, f_measure: 0.7368, kappa: 0.4701, kb_relative_information_score: 643.4926, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.737, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8627, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8922, scimark_benchmark: 1854.9533, usercpu_time_millis: 50.115, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 48.901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 896.4237, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.8, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8705, scimark_benchmark: 1845.3146, usercpu_time_millis: 191.353, usercpu_time_millis_testing: 1.233, usercpu_time_millis_training: 190.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.751, kappa: 0.4974, kb_relative_information_score: 884.8512, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7524, predictive_accuracy: 0.7523, prior_entropy: 0.9948, recall: 0.7523, relative_absolute_error: 0.802, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.856, scimark_benchmark: 1826.2385, usercpu_time_millis: 152.621, usercpu_time_millis_testing: 2.301, usercpu_time_millis_training: 150.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.7662, kappa: 0.5281, kb_relative_information_score: 1171.7621, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7673, predictive_accuracy: 0.7673, prior_entropy: 0.9948, recall: 0.7673, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.821, scimark_benchmark: 1846.6923, usercpu_time_millis: 97.298, usercpu_time_millis_testing: 0.866, usercpu_time_millis_training: 96.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.7694, kappa: 0.5346, kb_relative_information_score: 1130.9277, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.77, predictive_accuracy: 0.7702, prior_entropy: 0.9948, recall: 0.7702, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8217, scimark_benchmark: 1857.1082, usercpu_time_millis: 39.728, usercpu_time_millis_testing: 0.743, usercpu_time_millis_training: 38.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: -0.0751, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1846.8309, usercpu_time_millis: 5.903, usercpu_time_millis_testing: 0.922, usercpu_time_millis_training: 4.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7407, kappa: 0.4771, kb_relative_information_score: 816.5963, mean_absolute_error: 0.4056, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7407, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8638, scimark_benchmark: 1833.1413, usercpu_time_millis: 16.88, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 15.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.0164, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1851.8567, usercpu_time_millis: 8.246, usercpu_time_millis_testing: 1.134, usercpu_time_millis_training: 7.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8062, f_measure: 0.7406, kappa: 0.4768, kb_relative_information_score: 715.5469, mean_absolute_error: 0.4191, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7406, predictive_accuracy: 0.7411, prior_entropy: 0.9948, recall: 0.7411, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4388, root_relative_squared_error: 0.8808, scimark_benchmark: 1835.2001, usercpu_time_millis: 29.34, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 28.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.7558, kappa: 0.5073, kb_relative_information_score: 1132.8079, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7567, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8319, scimark_benchmark: 1871.5201, usercpu_time_millis: 156.62, usercpu_time_millis_testing: 1.059, usercpu_time_millis_training: 155.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8545, f_measure: 0.7859, kappa: 0.568, kb_relative_information_score: 1417.5618, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7863, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.6567, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.7898, scimark_benchmark: 1835.2001, usercpu_time_millis: 68.663, usercpu_time_millis_testing: 0.869, usercpu_time_millis_training: 67.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8055, f_measure: 0.716, kappa: 0.4269, kb_relative_information_score: 604.7354, mean_absolute_error: 0.4319, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7178, predictive_accuracy: 0.7179, prior_entropy: 0.9948, recall: 0.7179, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.8948, scimark_benchmark: 1835.2001, usercpu_time_millis: 21.801, usercpu_time_millis_testing: 2.362, usercpu_time_millis_training: 19.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.3813, kb_relative_information_score: 0.0816, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.2676, usercpu_time_millis: 8.241, usercpu_time_millis_testing: 1.352, usercpu_time_millis_training: 6.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.7561, kappa: 0.5083, kb_relative_information_score: 1200.3743, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.83, scimark_benchmark: 1835.6541, usercpu_time_millis: 386.011, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 384.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7573, kappa: 0.5106, kb_relative_information_score: 930.7086, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7577, prior_entropy: 0.9948, recall: 0.7577, relative_absolute_error: 0.7888, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8473, scimark_benchmark: 1833.1413, usercpu_time_millis: 68.099, usercpu_time_millis_testing: 1.749, usercpu_time_millis_training: 66.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: 0.1248, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1840.3875, usercpu_time_millis: 5.11, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 4.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.7479, kappa: 0.4915, kb_relative_information_score: 837.5725, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7479, predictive_accuracy: 0.7483, prior_entropy: 0.9948, recall: 0.7483, relative_absolute_error: 0.8128, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8611, scimark_benchmark: 1848.7762, usercpu_time_millis: 80.256, usercpu_time_millis_testing: 2.387, usercpu_time_millis_training: 77.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.7579, kappa: 0.5115, kb_relative_information_score: 1241.4008, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7584, predictive_accuracy: 0.7587, prior_entropy: 0.9948, recall: 0.7587, relative_absolute_error: 0.7032, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8257, scimark_benchmark: 1838.622, usercpu_time_millis: 15.032, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 14.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.1177, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1850.9652, usercpu_time_millis: 9.677, usercpu_time_millis_testing: 1.529, usercpu_time_millis_training: 8.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.6818, kappa: 0.3594, kb_relative_information_score: 429.9549, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.688, predictive_accuracy: 0.6868, prior_entropy: 0.9948, recall: 0.6868, relative_absolute_error: 0.9102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4608, root_relative_squared_error: 0.9249, scimark_benchmark: 1834.2449, usercpu_time_millis: 5.658, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 4.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.818, f_measure: 0.7526, kappa: 0.5008, kb_relative_information_score: 1046.6174, mean_absolute_error: 0.3777, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7552, predictive_accuracy: 0.7545, prior_entropy: 0.9948, recall: 0.7545, relative_absolute_error: 0.7608, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.419, root_relative_squared_error: 0.841, scimark_benchmark: 1842.3843, usercpu_time_millis: 296.388, usercpu_time_millis_testing: 1.575, usercpu_time_millis_training: 294.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8415, f_measure: 0.7586, kappa: 0.5129, kb_relative_information_score: 931.6865, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7589, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.7892, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8417, scimark_benchmark: 1854.4951, usercpu_time_millis: 8.133, usercpu_time_millis_testing: 1.039, usercpu_time_millis_training: 7.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 914.2494, mean_absolute_error: 0.3948, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.435, root_relative_squared_error: 0.8731, scimark_benchmark: 1844.9447, usercpu_time_millis: 238.428, usercpu_time_millis_testing: 1.54, usercpu_time_millis_training: 236.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.7374, kappa: 0.4718, kb_relative_information_score: 704.9888, mean_absolute_error: 0.4207, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.738, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8475, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.8886, scimark_benchmark: 1834.6918, usercpu_time_millis: 53.339, usercpu_time_millis_testing: 0.83, usercpu_time_millis_training: 52.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7702, kappa: 0.5368, kb_relative_information_score: 1417.2451, mean_absolute_error: 0.3238, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7702, predictive_accuracy: 0.7705, prior_entropy: 0.9948, recall: 0.7705, relative_absolute_error: 0.6523, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.404, root_relative_squared_error: 0.8109, scimark_benchmark: 1840.6556, usercpu_time_millis: 28.484, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 27.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.7815, kappa: 0.5594, kb_relative_information_score: 1081.2335, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7816, predictive_accuracy: 0.7819, prior_entropy: 0.9948, recall: 0.7819, relative_absolute_error: 0.7509, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8193, scimark_benchmark: 1846.3057, usercpu_time_millis: 64.076, usercpu_time_millis_testing: 2.434, usercpu_time_millis_training: 61.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7906, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: 864.0217, mean_absolute_error: 0.4013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7385, predictive_accuracy: 0.7371, prior_entropy: 0.9948, recall: 0.7371, relative_absolute_error: 0.8083, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8755, scimark_benchmark: 1854.0399, usercpu_time_millis: 87.754, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 86.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3813, kb_relative_information_score: 0.0277, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1840.7988, usercpu_time_millis: 5.301, usercpu_time_millis_testing: 0.791, usercpu_time_millis_training: 4.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: -0.8053, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1844.9447, usercpu_time_millis: 4.234, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 3.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, f_measure: 0.7603, kappa: 0.5163, kb_relative_information_score: 1229.9293, mean_absolute_error: 0.3519, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7614, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.7089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4095, root_relative_squared_error: 0.8219, scimark_benchmark: 1842.3073, usercpu_time_millis: 191.28, usercpu_time_millis_testing: 0.826, usercpu_time_millis_training: 190.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7607, kappa: 0.517, kb_relative_information_score: 1471.01, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7621, predictive_accuracy: 0.7619, prior_entropy: 0.9948, recall: 0.7619, relative_absolute_error: 0.6357, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8096, scimark_benchmark: 1832.1735, usercpu_time_millis: 91.853, usercpu_time_millis_testing: 0.77, usercpu_time_millis_training: 91.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7562, kappa: 0.5082, kb_relative_information_score: 958.7568, mean_absolute_error: 0.3883, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7565, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.7821, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8443, scimark_benchmark: 1837.7149, usercpu_time_millis: 52.378, usercpu_time_millis_testing: 1.353, usercpu_time_millis_training: 51.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 948.8613, mean_absolute_error: 0.3903, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7383, predictive_accuracy: 0.7369, prior_entropy: 0.9948, recall: 0.7369, relative_absolute_error: 0.7861, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4364, root_relative_squared_error: 0.876, scimark_benchmark: 1836.6789, usercpu_time_millis: 290.658, usercpu_time_millis_testing: 1.363, usercpu_time_millis_training: 289.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0421, mean_absolute_error: 0.4964, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1852.9988, usercpu_time_millis: 7.841, usercpu_time_millis_testing: 1.362, usercpu_time_millis_training: 6.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: -0.8345, mean_absolute_error: 0.4965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.294, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4982, root_relative_squared_error: 1, scimark_benchmark: 1856.7433, usercpu_time_millis: 4.329, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 3.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7595, kappa: 0.5148, kb_relative_information_score: 1371.1524, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7624, predictive_accuracy: 0.7614, prior_entropy: 0.9948, recall: 0.7614, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4038, root_relative_squared_error: 0.8106, scimark_benchmark: 1839.2774, usercpu_time_millis: 173.931, usercpu_time_millis_testing: 0.797, usercpu_time_millis_training: 173.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7931, f_measure: 0.736, kappa: 0.4688, kb_relative_information_score: 663.4916, mean_absolute_error: 0.4257, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7364, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8575, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4445, root_relative_squared_error: 0.8921, scimark_benchmark: 1853.3841, usercpu_time_millis: 24.137, usercpu_time_millis_testing: 0.685, usercpu_time_millis_training: 23.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.7524, kappa: 0.5004, kb_relative_information_score: 1110.3612, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7536, predictive_accuracy: 0.7537, prior_entropy: 0.9948, recall: 0.7537, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8392, scimark_benchmark: 1857.1082, usercpu_time_millis: 199.929, usercpu_time_millis_testing: 0.961, usercpu_time_millis_training: 198.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7348, kappa: 0.4653, kb_relative_information_score: 611.7892, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7348, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.8969, scimark_benchmark: 1854.9533, usercpu_time_millis: 99.933, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 97.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8188, f_measure: 0.7433, kappa: 0.4823, kb_relative_information_score: 838.003, mean_absolute_error: 0.4033, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7433, predictive_accuracy: 0.7438, prior_entropy: 0.9948, recall: 0.7438, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.8613, scimark_benchmark: 1855.4813, usercpu_time_millis: 66.634, usercpu_time_millis_testing: 2.542, usercpu_time_millis_training: 64.092,

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