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Table 8 Classification performance for coffee leaf by applying tenfold validation using proposed algorithm with selected features

From: Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves

Feature selection methods

Classifiers

Serial num. of features

Total no of features

Accuracy (%)

SFS

SVM

24

1–19, 21–25

98.5

KNN

22

1–6, 8–11, 13–21, 23–25

97.2

D-Tree

24

1–23, 24

96.5

SBS

SVM

24

1–19, 21–25

98.6

KNN

24

1–21, 23–25

97.6

D-Tree

24

1–23, 25

96.2

Relief-F

SVM

10

2, 4, 10, 11, 17–21, 25

97.1

KNN

95.9

D-Tree

96.8