Table 5 Results on Mini-DDSM MG dataset.
Classifiers | Accuracy (%) | Precision (%) | Recall (%) | Specificity (%) | F1-score | AUC |
|---|---|---|---|---|---|---|
XGBoost | 95.00 | 90 | 95 | 95 | 0.95 | 0.97 |
95 | 90 | 90 | 0.97 | 0.97 | ||
100 | 100 | 100 | 1.00 | 1.00 | ||
AdaBoost | 86.67 | 88 | 70 | 95 | 0.78 | 0.94 |
75 | 90 | 85 | 0.82 | 0.94 | ||
100 | 100 | 100 | 1.00 | 1.00 | ||
CatBoost | 93.33 | 86 | 95 | 92 | 0.90 | 0.97 |
94 | 85 | 97 | 0.89 | 0.97 | ||
100 | 100 | 100 | 1.00 | 1.00 |