Table 4.
Precision, recall and F1-score of combined features using SVM.
Combined features using SVM | Precision | Recall | F1-score |
---|---|---|---|
Clean | 0.90 | 0.84 | 0.87 |
Dirty | 0.87 | 0.63 | 0.73 |
Thin | 0.97 | 0.92 | 0.94 |
Thick | 0.72 | 1.00 | 0.83 |
Macro avg. | 0.86 | 0.85 | 0.84 |
Weighted avg. | 0.86 | 0.85 | 0.84 |
Accuracy avg. | 0.8455 |