Table 4 AUC value comparison of classification using various synthetic data augmentation techniques.
Data | Model | XGB | RF | KNN | TabNet |
|---|---|---|---|---|---|
COVID-19 | Original | 96.5 | 96.8 | 96.2 | 97.3 |
SMOTE | 96.2 | 96 | 95.5 | 96.5 | |
ADASYN | 95.9 | 95.8 | 95 | 96.3 | |
CTGAN | 95.5 | 95.3 | 95 | 96 | |
ADASYN + DCTGAN-ResNet (Proposed) | 97 | 96.9 | 96.5 | 98 | |
Kidney | Original | 96.3 | 96.5 | 96 | 97.5 |
SMOTE | 96.1 | 96 | 95.8 | 96.8 | |
ADASYN | 95.9 | 95.6 | 95.5 | 96.7 | |
CTGAN | 95.5 | 95.2 | 95 | 96.2 | |
ADASYN + DCTGAN-ResNet(Proposed) | 97.2 | 96.8 | 96.5 | 98 | |
Dengue | Original | 96.5 | 96.3 | 96 | 97.5 |
SMOTE | 96.2 | 96 | 95.8 | 96.8 | |
ADASYN | 95.9 | 95.7 | 95.5 | 96.7 | |
CTGAN | 95.5 | 95.2 | 95 | 96.3 | |
SMOTE + DCTGAN-ResNet(Proposed) | 97 | 96.9 | 96.5 | 98.2 |
