Table 9 Comparison of the implemented individual algorithms with the ensemble one. (%).

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

Model Name

Accuracy

Precision

Recall

F1-Score

ResNet-50 Model

91.89

91.67

91.00

91.33

DenseNEt-121 Model

94.5

94.2

93.0

94.0

Xception Model

92.18

91.50

92.00

91.75

Ensemble Model

96.83

95.65

97.15

96.39

Back to article page