Table 8 Performance result of the Ensemble model for the test dataset (%).

From: Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN)

Class

Accuracy

Precision

Recall

F1-Score

Healthy

97.50

96.20

98.00

97.09

Phyllody

95.80

94.50

96.20

95.30

Bacterial Blight

96.00

97.10

94.70

95.90

Overall

96.83

95.65

97.15

96.39

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