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. 2023 Oct 16;14:1211617. doi: 10.3389/fpls.2023.1211617

Table 3.

Evaluation index scores of each algorithm model in the binary classification of healthy leaf and diseased leaf.

algorithm models leaf precision recall f1 - score support accuracy
SavGol+SVM diseased 0.987 0.993 0.99 153 0.983
healthy 0.96 0.923 0.941 26
SavGol+RF diseased 0.987 0.993 0.99 153 0.983
healthy 0.96 0.923 0.941 26
MSC+SVM diseased 0.987 0.987 0.99 153 0.983
healthy 0.926 0.962 0.943 26
MSC+RF diseased 0.974 0.993 0.984 153 0.972
healthy 0.957 0.846 0.898 26
SNV+SVM diseased 0.987 0.993 0.99 153 0.983
healthy 0.96 0.923 0.941 26
SNV+RF diseased 0.981 0.993 0.987 153 0.978
healthy 0.958 0.885 0.92 26