Table 18 10-fold cross-validation performance.

From: Enhanced paddy leaf disease detection using novel dual metaheuristic loss functions in generative adversarial networks with identity block preservation for thermal image augmentation

Fold

Accuracy (%)

Precision (%)

Recall (%)

F1-score

AUC

Standard deviation

1

96.47

95.82

97.14

0.965

0.983

0.0087

2

97.23

96.58

97.89

0.972

0.987

0.0064

3

95.91

94.76

97.08

0.959

0.981

0.0092

4

96.85

96.12

97.59

0.968

0.985

0.0071

5

97.67

97.01

98.34

0.977

0.989

0.0058

6

96.34

95.69

97.01

0.963

0.982

0.0089

7

97.41

96.78

98.05

0.974

0.988

0.0062

8

96.12

95.47

96.78

0.961

0.980

0.0094

9

97.89

97.23

98.56

0.979

0.991

0.0055

10

96.58

95.91

97.26

0.966

0.984

0.0084

Mean

96.85

96.14

97.57

0.968

0.985

0.0076

Std Dev

0.674

0.627

0.591

0.0067

0.0037

0.0014

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