Table 8.
Classification Performance Results.
| Training Algorithm | * Performance | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| ACC (%) | REC (%) | SPE (%) | PPV (%) | GM (%) | Training Time (s) (TnT) | Test Time (s) (TT) | Epochs | MSE | |
| Levenberg-Marquardt Algorithm (LMA) | 94.816 (±5.00) |
92.221 (±7.50) |
96.11 (±3.75) |
92.221 (±7.50) |
94.126 (±5.00) |
1.167 (±1.40) |
0.228 (±0.18) |
5.50 (±0.85) |
0.082 (±0.22) |
| Scaled Conjugate Gradient Algorithm (SCGA) | 88.52 (±4.08) |
82.78 (±6.11) |
91.39 (±3.06) |
82.78 (±6.11) |
86.96 (±4.67) |
0.409 (±0.06) |
0.062 (±0.01) |
60.2 (±17.65) |
0.003 (±3.3 × 10−3) |
| Resilient Back-propagation Algorithm (RPA) | 90.74 (±3.15) |
86.11 (±4.72) |
93.06 (±2.36) |
86.11 (±4.72) |
89.51 (±4.72) |
0.307 (±0.04) |
0.055 (±27.54) |
31.000 (±12.41) |
0.003 (±0.01) |
* Mean (± Standard Deviation).