Table 2 Performance evaluation for different algorithms on different test set sizes.
Sr. no. | Test set size | Â | Ensemble DL 4 | iLBE 8 | SVM 13 | Proposed |
|---|---|---|---|---|---|---|
1 | Small set (2000–5000 epitopes) | ACC. | 78.63 | 61.91 | 63.91 | 97.2 |
Precision | 52.92 | 48.93 | 41.03 | 65.41 | ||
Recall | 52.26 | 48.32 | 40.52 | 64.6 | ||
AUC | 79.31 | 62.44 | 64.46 | 98.03 | ||
F-Measure | 52.59 | 48.62 | 40.78 | 65.01 | ||
2 | Medium set (6000–10,000 epitopes) | ACC. | 80.01 | 62.99 | 65.03 | 98.9 |
Precision | 53.85 | 49.79 | 41.75 | 66.56 | ||
Recall | 53.17 | 49.17 | 41.23 | 65.73 | ||
AUC | 80.7 | 63.54 | 65.59 | 99.75 | ||
F-Measure | 53.51 | 49.47 | 41.49 | 66.14 | ||
3 | Large set (11,000–13,000 epitopes) | ACC. | 80.11 | 63.08 | 65.12 | 99.03 |
Precision | 53.92 | 49.85 | 41.8 | 66.65 | ||
Recall | 53.24 | 49.23 | 41.28 | 65.82 | ||
AUC | 80.8 | 63.62 | 65.68 | 99.88 | ||
F-Measure | 53.58 | 49.54 | 41.54 | 66.23 | ||
4 | Very large set (14,000–16,000 epitopes) | ACC. | 80.12 | 63.08 | 65.12 | 99.04 |
Precision | 53.92 | 49.86 | 41.81 | 66.65 | ||
Recall | 53.25 | 49.24 | 41.29 | 65.82 | ||
AUC | 80.81 | 63.62 | 65.68 | 99.89 | ||
F-Measure | 53.58 | 49.54 | 41.55 | 66.24 |
