Table 7.
Precision, recall, F1-score of combined features using KNN.
Precision | Recall | F1-score | |
---|---|---|---|
Clean | 0.90 | 0.95 | 0.92 |
Dirty | 0.98 | 0.88 | 0.93 |
Thin | 0.97 | 0.93 | 0.95 |
Thick | 0.92 | 1.00 | 0.96 |
Macro avg. | 0.94 | 0.94 | 0.94 |
Weighted avg. | 0.94 | 0.94 | 0.94 |
Accuracy avg. | 0.939 |