Table 5.
The results of the multiclass classification category that are achieved using the LDA classifier after the two feature selection approaches.
Method | No of features | Accuracy (%) | Sensitivity | Specificity | Precision | F 1-Score |
---|---|---|---|---|---|---|
Before Feature Selection | ||||||
Pooling + Fully Connected Features (scenario III) | 315 | 90 | 0.9 | 0.95 | 0.902 | 0.901 |
After Feature Selection | ||||||
SU | 223 | 91.467 | 0.915 | 0.957 | 0.917 | 0.915 |