Table 2. Classification results for Raman prediction of the two groups using a principal component analysis-linear discriminant analysis (PCA-LDA) algorithm, where 80% and 20% of the total data set were used for the training and test groups, respectively. The spectra were analyzed by linear discriminant analysis (LDA) using the first eight principal components.
| Calculated class |
|||
|---|---|---|---|
| Control (N) |
Plasma-treated (P) |
||
| Experimental class | Control (N) | 8.369 | 0.131 |
| Plasma-treated (P) | 1.631 | 9.869 | |
| Sensitivity (%) | 86.6 | ||
| Specificity (%) | 98.6 | ||
| Accuracy (%) | 91.2 | ||
| Error (%) | 8.8 | ||