TABLE 10. Comparison of Models Performance on Imbalanced Datasets.
Reference | Model | Datasize | Data ratio | Accuracy |
---|---|---|---|---|
Brunese et al. [42] | VGG16 | 6505 | 3003: 3520 ≈ 1: 1.17 | 99% |
Apostolopoulos & Mpesiana [36] | CNN | 1428 | 224: 1208 ≈ 1: 5.4 | 98% |
Ozturk et al. [37] | DarkNet | 1750 | 250: 1500=1: 6 | 98% |
Khan et al. [38] | Xception | 1251 | 284: 967 ≈ 1: 3.4 | 89.6% |
Lee et al. [67] | VGG-16 | 1821 | 607: 1214=1: 2 | 95.9% |
Shelke et al. [68] | DenseNet-VGG16 | 2271 | 500: 1771 ≈ 1: 3.54 | 95% |
Best model from Study Two with 95% CI | VGG 16 InceptionResNetV2 MobileNetV2 VGG 19 | 1845 | 262: 1583≈1:6.04 | 97.6%–99.7% |
97.6%–99.7% | ||||
97.6%–99.7% | ||||
95.2%–98.6% |