Table 7.
Comparison between Precision, Recall, F1, and Accuracy of experiments with SMOT for dataset 2.
| ML Classifiers | Class | Precision | Recall | F1-Score | Accuracy |
|---|---|---|---|---|---|
| DT | Normal | 98.66 % | 99.77 % | 99.21 % | 98.66 % |
| Ulcer | 98.73 % | 92.86 % | 95.71 % | ||
| Average | 98.70 % | 96.32 % | 97.46 % | ||
| KNN | Normal | 99.25 % | 90.27 % | 94.55 % | 91.25 % |
| Ulcer | 65.32 % | 96.43 % | 77.88 % | ||
| Average | 82.29 % | 93.35 % | 86.22 % | ||
| LR | Normal | 99.55 % | 100.00 % | 99.77 % | 99.61 % |
| Ulcer | 100.00 % | 97.62 % | 98.80 % | ||
| Average | 99.77 % | 98.81 % | 99.28 % | ||
| NB | Normal | 94.87 % | 75.34 % | 83.98 % | 75.85 % |
| Ulcer | 37.71 % | 78.57 % | 50.97 % | ||
| Average | 66.29 % | 76.96 % | 67.48 % | ||
| RF | Normal | 98.66 % | 100.00 % | 99.33 % | 98.85 % |
| Ulcer | 100.00 % | 92.86 % | 96.30 % | ||
| Average | 99.33 % | 96.43 % | 97.81 % | ||
| SVM | Normal | 99.31 % | 97.51 % | 98.40 % | 97.33 % |
| Ulcer | 88.04 % | 96.43 % | 92.05 % | ||
| Average | 93.68 % | 96.97 % | 95.22 % |