Algorithms | FFNN | AE | XGB | ERT | LR | |||
---|---|---|---|---|---|---|---|---|
Ref. | [9] | [10] | [11] | [12] | [13] | [14] | [15] | [16] |
(a) Performance comparison using ROC-AUC | ||||||||
 Baseline | 0.912 ± 0.004 | 0.91 ± 0.005 | 0.914 ± 0.006 | 0.895 ± 0.007 | 0.885 ± 0.01 | 0.895 ± 0.005 | 0.843 ± 0.007 | 0.847 ± 0.006 |
 Ours | 0.924 ± 0.001 | 0.915 ± 0.006 | 0.923 ± 0.003 | 0.92 ± 0.004 | 0.889 ± 0.003 | 0.892 ± 0.004 | 0.881 ± 0.004 | 0.854 ± 0.007 |
(b) Performance comparison using AUPR | ||||||||
 Baseline | 0.402 ± 0.017 | 0.417 ± 0.032 | 0.408 ± 0.025 | 0.339 ± 0.026 | 0.349 ± 0.016 | 0.381 ± 0.026 | 0.24 ± 0.015 | 0.192 ± 0.011 |
 Ours | 0.434 ± 0.014 | 0.427 ± 0.025 | 0.438 ± 0.008 | 0.424 ± 0.011 | 0.371 ± 0.013 | 0.381 ± 0.016 | 0.326 ± 0.012 | 0.196 ± 0.004 |
(c) Performance comparison using F1 score | ||||||||
 Baseline | 0.359 ± 0.027 | 0.262 ± 0.045 | 0.325 ± 0.039 | 0.224 ± 0.05 | 0.227 ± 0.01 | 0.24 ± 0.019 | 0.272 ± 0.018 | 0.059 ± 0.01 |
 Ours | 0.392 ± 0.017 | 0.313 ± 0.052 | 0.296 ± 0.021 | 0.428 ± 0.028 | 0.271 ± 0.016 | 0.259 ± 0.02 | 0.263 ± 0.015 | 0.064 ± 0.013 |