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. 2023 Jan 25;10:1032467. doi: 10.3389/fpubh.2022.1032467

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