Task
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 145677 Supervised Classification Bioresponse 9363 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.78, kappa: 0.5562, kb_relative_information_score: 1411.6285, mean_absolute_error: 0.3265, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7808, predictive_accuracy: 0.7809, prior_entropy: 0.9948, recall: 0.7809, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7963, scimark_benchmark: 1742.3513, usercpu_time_millis: 2349.8, usercpu_time_millis_testing: 2.139, usercpu_time_millis_training: 2347.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7897, kappa: 0.5757, kb_relative_information_score: 1479.595, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.79, predictive_accuracy: 0.7902, prior_entropy: 0.9948, recall: 0.7902, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.7821, scimark_benchmark: 1734.6299, usercpu_time_millis: 3075.437, usercpu_time_millis_testing: 3.6, usercpu_time_millis_training: 3071.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8327, f_measure: 0.7548, kappa: 0.5052, kb_relative_information_score: 1323.6188, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7573, predictive_accuracy: 0.7566, prior_entropy: 0.9948, recall: 0.7566, relative_absolute_error: 0.6797, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8165, scimark_benchmark: 1858.0974, usercpu_time_millis: 4505.784, usercpu_time_millis_testing: 1.972, usercpu_time_millis_training: 4503.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8028, kappa: 0.6022, kb_relative_information_score: 1597.2987, mean_absolute_error: 0.3023, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8031, predictive_accuracy: 0.8033, prior_entropy: 0.9948, recall: 0.8033, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7598, scimark_benchmark: 1732.8075, usercpu_time_millis: 4970.743, usercpu_time_millis_testing: 3.952, usercpu_time_millis_training: 4966.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, f_measure: 0.799, kappa: 0.5946, kb_relative_information_score: 1607.6391, mean_absolute_error: 0.3005, 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: 0.6054, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7617, scimark_benchmark: 1845.7061, usercpu_time_millis: 5595.483, usercpu_time_millis_testing: 3.318, usercpu_time_millis_training: 5592.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.7679, kappa: 0.5316, kb_relative_information_score: 1285.7747, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7694, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8139, scimark_benchmark: 1706.475, usercpu_time_millis: 733.144, usercpu_time_millis_testing: 1.489, usercpu_time_millis_training: 731.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.7795, kappa: 0.5551, kb_relative_information_score: 1425.1419, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7802, predictive_accuracy: 0.7803, prior_entropy: 0.9948, recall: 0.7803, relative_absolute_error: 0.6533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.7953, scimark_benchmark: 1712.4849, usercpu_time_millis: 5449.192, usercpu_time_millis_testing: 2.457, usercpu_time_millis_training: 5446.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7805, kappa: 0.5572, kb_relative_information_score: 1411.7572, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7814, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3966, root_relative_squared_error: 0.796, scimark_benchmark: 1791.0784, usercpu_time_millis: 4349.146, usercpu_time_millis_testing: 2.2, usercpu_time_millis_training: 4346.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.806, kappa: 0.6088, kb_relative_information_score: 1598.0807, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8063, predictive_accuracy: 0.8065, prior_entropy: 0.9948, recall: 0.8065, relative_absolute_error: 0.6094, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7566, scimark_benchmark: 1848.2615, usercpu_time_millis: 4794.492, usercpu_time_millis_testing: 6.693, usercpu_time_millis_training: 4787.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8748, f_measure: 0.8052, kappa: 0.6071, kb_relative_information_score: 1675.6437, mean_absolute_error: 0.2906, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5853, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.7556, scimark_benchmark: 1833.1413, usercpu_time_millis: 4835.567, usercpu_time_millis_testing: 2.646, usercpu_time_millis_training: 4832.921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8412, f_measure: 0.7741, kappa: 0.5442, kb_relative_information_score: 1393.7493, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7745, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.661, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8045, scimark_benchmark: 1840.3077, usercpu_time_millis: 59.061, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 58.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.2036, 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: 1828.6642, usercpu_time_millis: 4.648, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 3.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8234, f_measure: 0.7545, kappa: 0.5045, kb_relative_information_score: 1072.5654, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7559, predictive_accuracy: 0.7558, prior_entropy: 0.9948, recall: 0.7558, relative_absolute_error: 0.7533, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4164, root_relative_squared_error: 0.8358, scimark_benchmark: 1828.2771, usercpu_time_millis: 248.59, usercpu_time_millis_testing: 1.806, usercpu_time_millis_training: 246.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.7809, kappa: 0.558, kb_relative_information_score: 1380.2261, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7814, prior_entropy: 0.9948, recall: 0.7814, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.799, scimark_benchmark: 1824.6719, usercpu_time_millis: 489.207, usercpu_time_millis_testing: 1.451, usercpu_time_millis_training: 487.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: 0.0752, 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: 1829.1182, usercpu_time_millis: 9.031, usercpu_time_millis_testing: 1.324, usercpu_time_millis_training: 7.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.782, kappa: 0.5601, kb_relative_information_score: 1316.5064, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7826, predictive_accuracy: 0.7827, prior_entropy: 0.9948, recall: 0.7827, relative_absolute_error: 0.686, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3974, root_relative_squared_error: 0.7977, scimark_benchmark: 1739.917, usercpu_time_millis: 1075.718, usercpu_time_millis_testing: 3.301, usercpu_time_millis_training: 1072.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8484, f_measure: 0.7819, kappa: 0.5599, kb_relative_information_score: 1405.0532, mean_absolute_error: 0.3279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7822, predictive_accuracy: 0.7825, prior_entropy: 0.9948, recall: 0.7825, relative_absolute_error: 0.6604, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3965, root_relative_squared_error: 0.7958, scimark_benchmark: 1833.1413, usercpu_time_millis: 1464.474, usercpu_time_millis_testing: 2.263, usercpu_time_millis_training: 1462.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8533, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1349.9144, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7861, predictive_accuracy: 0.7862, prior_entropy: 0.9948, recall: 0.7862, relative_absolute_error: 0.6767, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7943, scimark_benchmark: 1729.728, usercpu_time_millis: 1509.298, usercpu_time_millis_testing: 2.935, usercpu_time_millis_training: 1506.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.7189, kappa: 0.4327, kb_relative_information_score: 506.0024, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7195, predictive_accuracy: 0.7201, prior_entropy: 0.9948, recall: 0.7201, relative_absolute_error: 0.8935, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9127, scimark_benchmark: 1768.5193, usercpu_time_millis: 11.749, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 10.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3813, kb_relative_information_score: 0.0857, 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: 1796.8131, usercpu_time_millis: 7.843, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 6.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.7801, kappa: 0.5565, kb_relative_information_score: 1187.724, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.7215, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8102, scimark_benchmark: 1734.8233, usercpu_time_millis: 96.405, usercpu_time_millis_testing: 1.026, usercpu_time_millis_training: 95.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.3813, kb_relative_information_score: -0.0267, 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: 1850.6617, usercpu_time_millis: 8.723, usercpu_time_millis_testing: 1.441, usercpu_time_millis_training: 7.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3813, kb_relative_information_score: -0.146, 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: 1735.8795, usercpu_time_millis: 7.581, usercpu_time_millis_testing: 1.194, usercpu_time_millis_training: 6.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8147, f_measure: 0.7469, kappa: 0.4897, kb_relative_information_score: 1193.3812, mean_absolute_error: 0.3572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7526, predictive_accuracy: 0.7499, prior_entropy: 0.9948, recall: 0.7499, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8384, scimark_benchmark: 1828.6642, usercpu_time_millis: 615.517, usercpu_time_millis_testing: 1.299, usercpu_time_millis_training: 614.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8805, f_measure: 0.8131, kappa: 0.623, kb_relative_information_score: 1597.3933, mean_absolute_error: 0.303, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8132, predictive_accuracy: 0.8134, prior_entropy: 0.9948, recall: 0.8134, relative_absolute_error: 0.6104, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7522, scimark_benchmark: 1844.7928, usercpu_time_millis: 721.118, usercpu_time_millis_testing: 2.394, usercpu_time_millis_training: 718.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7676, kappa: 0.5311, kb_relative_information_score: 1254.1267, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7698, predictive_accuracy: 0.7691, prior_entropy: 0.9948, recall: 0.7691, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8162, scimark_benchmark: 1840.1791, usercpu_time_millis: 768.669, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 767.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8494, f_measure: 0.7832, kappa: 0.5625, kb_relative_information_score: 1303.5744, mean_absolute_error: 0.3422, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7841, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.6893, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.8006, scimark_benchmark: 1837.9356, usercpu_time_millis: 2104.797, usercpu_time_millis_testing: 3.564, usercpu_time_millis_training: 2101.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7372, kappa: 0.4719, kb_relative_information_score: 861.0048, mean_absolute_error: 0.4017, 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: 0.8091, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4362, root_relative_squared_error: 0.8755, scimark_benchmark: 1783.4338, usercpu_time_millis: 49.57, usercpu_time_millis_testing: 0.763, usercpu_time_millis_training: 48.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.7274, kappa: 0.4504, kb_relative_information_score: 654.707, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7273, predictive_accuracy: 0.7278, prior_entropy: 0.9948, recall: 0.7278, relative_absolute_error: 0.8586, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.8902, scimark_benchmark: 1832.6275, usercpu_time_millis: 75.155, usercpu_time_millis_testing: 1.703, usercpu_time_millis_training: 73.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.736, kappa: 0.4687, kb_relative_information_score: 604.7604, mean_absolute_error: 0.4326, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7363, predictive_accuracy: 0.7358, prior_entropy: 0.9948, recall: 0.7358, relative_absolute_error: 0.8714, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.8996, scimark_benchmark: 1834.0484, usercpu_time_millis: 100.996, usercpu_time_millis_testing: 1.169, usercpu_time_millis_training: 99.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3813, kb_relative_information_score: 0.0312, 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: 1762.23, usercpu_time_millis: 6.875, usercpu_time_millis_testing: 1.141, usercpu_time_millis_training: 5.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8735, f_measure: 0.8052, kappa: 0.607, kb_relative_information_score: 1463.5537, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8055, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.7684, scimark_benchmark: 1772.4134, usercpu_time_millis: 128.974, usercpu_time_millis_testing: 1.348, usercpu_time_millis_training: 127.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7753, kappa: 0.5465, kb_relative_information_score: 1384.8506, mean_absolute_error: 0.3295, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7765, predictive_accuracy: 0.7763, prior_entropy: 0.9948, recall: 0.7763, relative_absolute_error: 0.6637, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8032, scimark_benchmark: 1830.7616, usercpu_time_millis: 5562.565, usercpu_time_millis_testing: 2.365, usercpu_time_millis_training: 5560.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7951, kappa: 0.5867, kb_relative_information_score: 1519.3998, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7953, predictive_accuracy: 0.7955, prior_entropy: 0.9948, recall: 0.7955, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3867, root_relative_squared_error: 0.7762, scimark_benchmark: 1775.915, usercpu_time_millis: 5482.032, usercpu_time_millis_testing: 3.365, usercpu_time_millis_training: 5478.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8107, kappa: 0.6182, kb_relative_information_score: 1624.7066, mean_absolute_error: 0.2987, 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: 0.6018, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3751, root_relative_squared_error: 0.7529, scimark_benchmark: 1750.3692, usercpu_time_millis: 570.82, usercpu_time_millis_testing: 1.65, usercpu_time_millis_training: 569.17,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.7369, kappa: 0.4711, kb_relative_information_score: 722.6811, mean_absolute_error: 0.4186, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7378, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.8432, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4423, root_relative_squared_error: 0.8877, scimark_benchmark: 1735.0745, usercpu_time_millis: 44.345, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 43.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7523, kappa: 0.5001, kb_relative_information_score: 985.7792, mean_absolute_error: 0.3859, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7544, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4229, root_relative_squared_error: 0.8489, scimark_benchmark: 1781.5813, usercpu_time_millis: 79.928, usercpu_time_millis_testing: 0.819, usercpu_time_millis_training: 79.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.8017, kappa: 0.6, kb_relative_information_score: 1540.4461, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8021, predictive_accuracy: 0.8022, prior_entropy: 0.9948, recall: 0.8022, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1692.8849, usercpu_time_millis: 2078.906, usercpu_time_millis_testing: 4.157, usercpu_time_millis_training: 2074.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.876, f_measure: 0.8074, kappa: 0.6116, kb_relative_information_score: 1679.2583, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8076, predictive_accuracy: 0.8078, prior_entropy: 0.9948, recall: 0.8078, relative_absolute_error: 0.5844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.7541, scimark_benchmark: 1833.1413, usercpu_time_millis: 2532.712, usercpu_time_millis_testing: 1.722, usercpu_time_millis_training: 2530.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.7834, kappa: 0.563, kb_relative_information_score: 1345.8045, mean_absolute_error: 0.3362, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7844, predictive_accuracy: 0.7843, prior_entropy: 0.9948, recall: 0.7843, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7986, scimark_benchmark: 1797.051, usercpu_time_millis: 1521.367, usercpu_time_millis_testing: 2.779, usercpu_time_millis_training: 1518.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8001, kappa: 0.5968, kb_relative_information_score: 1587.4441, mean_absolute_error: 0.3033, 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: 0.611, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.7642, scimark_benchmark: 1833.1413, usercpu_time_millis: 5232.598, usercpu_time_millis_testing: 2.995, usercpu_time_millis_training: 5229.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.1789, 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: 1826.5537, usercpu_time_millis: 5.456, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 4.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3813, kb_relative_information_score: -0.0242, 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: 1832.6873, usercpu_time_millis: 8.321, usercpu_time_millis_testing: 1.302, usercpu_time_millis_training: 7.019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.7555, kappa: 0.5066, kb_relative_information_score: 1180.9, mean_absolute_error: 0.3589, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.757, predictive_accuracy: 0.7569, prior_entropy: 0.9948, recall: 0.7569, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4133, root_relative_squared_error: 0.8297, scimark_benchmark: 1847.4089, usercpu_time_millis: 189.173, usercpu_time_millis_testing: 0.832, usercpu_time_millis_training: 188.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.804, kappa: 0.6046, kb_relative_information_score: 1511.1432, mean_absolute_error: 0.3147, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8041, predictive_accuracy: 0.8043, prior_entropy: 0.9948, recall: 0.8043, relative_absolute_error: 0.6339, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.7671, scimark_benchmark: 1828.6642, usercpu_time_millis: 426.242, usercpu_time_millis_testing: 1.544, usercpu_time_millis_training: 424.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8004, kappa: 0.5975, kb_relative_information_score: 1463.588, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8007, predictive_accuracy: 0.8009, prior_entropy: 0.9948, recall: 0.8009, relative_absolute_error: 0.6469, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7747, scimark_benchmark: 1832.1735, usercpu_time_millis: 1114.59, usercpu_time_millis_testing: 3.662, usercpu_time_millis_training: 1110.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7634, kappa: 0.5224, kb_relative_information_score: 1188.4812, mean_absolute_error: 0.3579, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7646, prior_entropy: 0.9948, recall: 0.7646, relative_absolute_error: 0.7209, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4099, root_relative_squared_error: 0.8227, scimark_benchmark: 1801.0615, usercpu_time_millis: 360.918, usercpu_time_millis_testing: 1.347, usercpu_time_millis_training: 359.571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8347, f_measure: 0.767, kappa: 0.5298, kb_relative_information_score: 1226.5628, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7681, predictive_accuracy: 0.7681, prior_entropy: 0.9948, recall: 0.7681, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8171, scimark_benchmark: 1815.1886, usercpu_time_millis: 1434.749, usercpu_time_millis_testing: 2.515, usercpu_time_millis_training: 1432.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.7942, kappa: 0.5848, kb_relative_information_score: 1549.3254, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7946, predictive_accuracy: 0.7947, prior_entropy: 0.9948, recall: 0.7947, relative_absolute_error: 0.6207, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7733, scimark_benchmark: 1827.7633, usercpu_time_millis: 8120.387, usercpu_time_millis_testing: 4.526, usercpu_time_millis_training: 8115.861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.8033, kappa: 0.6033, kb_relative_information_score: 1608.9317, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8036, predictive_accuracy: 0.8038, prior_entropy: 0.9948, recall: 0.8038, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3799, root_relative_squared_error: 0.7626, scimark_benchmark: 1828.1532, usercpu_time_millis: 11177.631, usercpu_time_millis_testing: 5.459, usercpu_time_millis_training: 11172.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.8, kappa: 0.5966, kb_relative_information_score: 1576.2605, mean_absolute_error: 0.305, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8005, predictive_accuracy: 0.8006, prior_entropy: 0.9948, recall: 0.8006, relative_absolute_error: 0.6143, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.766, scimark_benchmark: 1842.3188, usercpu_time_millis: 7156.808, usercpu_time_millis_testing: 4.416, usercpu_time_millis_training: 7152.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8726, f_measure: 0.8053, kappa: 0.6073, kb_relative_information_score: 1698.4065, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.8054, predictive_accuracy: 0.8057, prior_entropy: 0.9948, recall: 0.8057, relative_absolute_error: 0.5772, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.759, scimark_benchmark: 1734.2333, usercpu_time_millis: 10626.489, usercpu_time_millis_testing: 4.037, usercpu_time_millis_training: 10622.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6698, kappa: 0.3375, kb_relative_information_score: 345.991, mean_absolute_error: 0.4612, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6814, predictive_accuracy: 0.6777, prior_entropy: 0.9948, recall: 0.6777, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.9389, scimark_benchmark: 1724.8648, usercpu_time_millis: 9.469, usercpu_time_millis_testing: 0.914, usercpu_time_millis_training: 8.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8108, f_measure: 0.7402, kappa: 0.4759, kb_relative_information_score: 832.4891, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7404, predictive_accuracy: 0.7409, prior_entropy: 0.9948, recall: 0.7409, relative_absolute_error: 0.8149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4308, root_relative_squared_error: 0.8646, scimark_benchmark: 1712.1059, usercpu_time_millis: 6.513, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 5.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3813, kb_relative_information_score: 0.0477, 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: 1819.0513, usercpu_time_millis: 5.303, usercpu_time_millis_testing: 0.736, usercpu_time_millis_training: 4.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3813, kb_relative_information_score: 0.0372, 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: 1717.6998, usercpu_time_millis: 8.946, usercpu_time_millis_testing: 1.482, usercpu_time_millis_training: 7.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.1126, 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: 1800.0035, usercpu_time_millis: 7.55, usercpu_time_millis_testing: 1.087, usercpu_time_millis_training: 6.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.6621, kappa: 0.3322, kb_relative_information_score: 285.3115, mean_absolute_error: 0.4678, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6959, predictive_accuracy: 0.6788, prior_entropy: 0.9948, recall: 0.6788, relative_absolute_error: 0.9423, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9484, scimark_benchmark: 1733.6357, usercpu_time_millis: 6.192, usercpu_time_millis_testing: 0.954, usercpu_time_millis_training: 5.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0322, 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: 1839.1431, usercpu_time_millis: 11.026, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 9.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8095, f_measure: 0.7375, kappa: 0.4724, kb_relative_information_score: 1003.1497, mean_absolute_error: 0.383, 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: 0.7716, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.8564, scimark_benchmark: 1766.7819, usercpu_time_millis: 52.404, usercpu_time_millis_testing: 0.725, usercpu_time_millis_training: 51.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3813, kb_relative_information_score: 0.0377, 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: 1846.0473, usercpu_time_millis: 8.385, usercpu_time_millis_testing: 1.252, usercpu_time_millis_training: 7.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7645, kappa: 0.5249, kb_relative_information_score: 1223.4362, mean_absolute_error: 0.3526, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7648, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.7102, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.409, root_relative_squared_error: 0.8208, scimark_benchmark: 1764.5911, usercpu_time_millis: 129.879, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 129.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.7596, kappa: 0.515, kb_relative_information_score: 1250.2635, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7609, predictive_accuracy: 0.7609, prior_entropy: 0.9948, recall: 0.7609, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8274, scimark_benchmark: 1833.6549, usercpu_time_millis: 574.334, usercpu_time_millis_testing: 1.264, usercpu_time_millis_training: 573.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7506, kappa: 0.4969, kb_relative_information_score: 1248.0368, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7542, predictive_accuracy: 0.7529, prior_entropy: 0.9948, recall: 0.7529, relative_absolute_error: 0.7033, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8298, scimark_benchmark: 1730.9949, usercpu_time_millis: 693.585, usercpu_time_millis_testing: 1.269, usercpu_time_millis_training: 692.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.7717, kappa: 0.5395, kb_relative_information_score: 1259.2419, mean_absolute_error: 0.3476, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7723, prior_entropy: 0.9948, recall: 0.7723, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4041, root_relative_squared_error: 0.8111, scimark_benchmark: 1846.2342, usercpu_time_millis: 65.26, usercpu_time_millis_testing: 0.798, usercpu_time_millis_training: 64.462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -1.1159, 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: 1.0002, 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: 4.222, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 3.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3813, kb_relative_information_score: -0.0932, 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: 1854.4431, usercpu_time_millis: 8.461, usercpu_time_millis_testing: 1.393, usercpu_time_millis_training: 7.068,

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