Table 2. Classification Accuracy of Different Comparative Algorithms on Raman Dataset.
Algorithm | Train Acc | Test Acc | G-Mean | F-Value |
PCA | 0.5087 | 0.4958 | 0.5259 | 0.5208 |
LDA | 1.0000 | 0.9603 | 0.9599 | 0.9399 |
PLS | 0.9870 | 0.9841 | 0.9854 | 0.9755 |
PLS-LDA | 0.9870 | 0.9847 | 0.9861 | 0.9762 |
Shrinkage LDA | 0.9815 | 0.9783 | 0.9815 | 0.9669 |
LDA-PLS | 0.9935 | 0.9848 | 0.9849 | 0.9765 |
ex-LDA-PLS | 1.0000 | 0.9794 | 0.9758 | 0.9680 |