Table 5.
Optimal number of PCs and resulting overall classification accuracy for ten PCA-BNN secondary classifiers
| NN unit | Optimal number of PCs | OCA (%) |
|---|---|---|
| PCA-BNN1:(2:4:2)-NOR/CYST | 2 | 100 |
| PCA-BNN2:(2:4:2)-NOR/HEM | 2 | 100 |
| PCA-BNN3:(6:4:2) -NOR/HCC | 6 | 98.7 |
| PCA-BNN4:(5:4:2)- NOR/MET | 5 | 96.4 |
| PCA-BNN5:(2:4:2)-CYST/HEM | 2 | 100 |
| PCA-BNN6:(2:4:2)-CYST/HCC | 2 | 98.4 |
| PCA-BNN7:(2:4:2)-CYST/MET | 2 | 95.7 |
| PCA-BNN8:(2:4:2)- HEM/HCC | 2 | 98.5 |
| PCA-BNN9:(3:4:2)-HEM/MET | 3 | 92.0 |
| PCA-BNN10:(2:4:5)–HCC/MET | 3 | 97.6 |