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

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