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

Table 3.

Results of SVM using GLCM features.

SVM using GLCM features Precision Recall F1-score
Clean 0.48 0.16 0.24
Dirty 0.62 0.58 0.60
Thin 0.77 0.94 0.84
Thick 0.61 0.91 0.73
Macro avg. 0.62 0.65 0.60
Weighted avg. 0.62 0.65 0.61
Average accuracy 0.651