Table 2 Evaluation performance metrics of RF classifier model on independent dataset using various features derived from Pfeature
From: Prediction of hemolytic peptides and their hemolytic concentration
Features | Sp (%) | Sn (%) | Acc (%) | MCC | AUC |
|---|---|---|---|---|---|
AAC | 83.9 | 66.3 | 75.9 | 0.512 | 0.831 |
DPC | 87.7 | 65.1 | 77.5 | 0.547 | 0.837 |
PCP | 84.8 | 67.4 | 76.9 | 0.534 | 0.854 |
CeTD | 86.7 | 72.0 | 80.1 | 0.597 | 0.856 |
AAC + DPC | 74.9 | 85.5 | 80.6 | 0.609 | 0.875 |
AAC + DPC+CeTD | 76.2 | 78.8 | 77.5 | 0.598 | 0.841 |
AAC + DPC + PCP | 73.7 | 85.0 | 79.8 | 0.623 | 0.881 |
ALLCOMP | 74.9 | 83.9 | 80.1 | 0.610 | 0.878 |
ALLCOMP-ex SOC | 76.5 | 86.9 | 82.1 | 0.640 | 0.888 |
