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. 2021 Aug 3;11:15756. doi: 10.1038/s41598-021-95240-y

Table 7.

Model performance evaluation(Class names are indicated by their initials).

Measures 101HS HY22 HY25 LN13 LH11 LH9 QH6 TF3 YH2 YH4 YH5 ZN108 Average
MODEL: AlexNet
Accuracy(%) 98.5 96.1 98.8 96.4 99.4 98.8 99.4 99.4 96.4 97.0 95.3 97.0 97.7
Precision(%) 100 80.8 90.3 75.8 92.9 92.9 93.8 96.7 82.1 79.4 68.6 95.5 87.4
Recall(%) 82.8 72.4 96.6 86.2 92.9 92.9 100 96.7 76.7 90.0 82.8 70.0 86.7
F1-Score(%) 90.6 76.4 93.3 80.7 92.9 92.9 96.8 96.7 79.3 84.4 75.0 80.8 86.7
MODEL: VGG16
Accuracy(%) 98.5 95.8 99.1 97.0 100 98.5 97.9 99.1 98.5 96.1 97.3 98.8 98.1
Precision(%) 100 70.3 93.3 88.0 100 100 82.9 100 100 69.8 88.5 96.4 90.8
Recall(%) 82.8 89.7 96.6 75.9 100 82.1 96.7 90.0 83.3 100 79.3 90.0 88.9
F1-Score(%) 90.6 78.8 94.9 81.5 100 90.2 89.3 94.7 90.9 82.2 83.6 93.1 89.2
MODEL: GoogLeNet
Accuracy(%) 99.4 97.6 98.5 97.3 99.7 98.5 98.5 97.6 95.0 97.9 95.5 97.0 97.7
Precision(%) 100 83.9 96.2 88.5 93.3 96.0 85.7 92.3 66.7 89.7 69.4 95.5 88.1
Recall(%) 93.1 89.7 86.2 79.3 100 85.7 100 80.0 86.7 86.7 86.2 70.0 87.0
F1-Score(%) 96.4 86.7 90.9 83.6 96.5 90.6 92.3 85.7 75.4 88.2 76.9 80.8 87.0
MODEL: ResNet18
Accuracy(%) 99.7 98.5 99.7 98.8 100 100 99.7 99.1 99.1 99.4 96.7 96.7 99.0
Precision(%) 100 87.5 100 96.3 100 100 96.8 93.5 93.5 96.7 78.1 88.0 94.2
Recall(%) 96.6 96.6 96.6 89.7 100 100 100 96.7 96.7 96.7 86.2 73.3 94.1
F1-Score(%) 98.3 91.8 98.3 92.9 100 100 98.4 95.1 95.1 96.7 82.0 80.0 94.1
MODEL: ResNet50
Accuracy(%) 99.1 97.6 99.1 98.8 99.7 99.7 99.7 100 100 99.4 97.9 98.2 99.1
Precision(%) 96.4 81.8 96.4 100 93.3 100 96.8 100 100 96.7 86.7 90.0 94.8
Recall(%) 93.1 93.1 93.1 86.2 100 96.4 100 100 100 96.7 89.7 90.0 94.9
F1-Score(%) 94.7 87.1 94.7 92.6 96.5 98.2 98.4 100 100 96.7 88.2 90.0 94.8
MODEL: SqueezeNet
Accuracy(%) 99.4 96.1 98.8 96.7 99.1 98.8 98.8 98.8 96.1 97.0 95.5 96.7 97.7
Precision(%) 100 78.6 90.3 87.5 82.4 87.5 88.2 96.4 77.4 81.3 70.6 100 86.7
Recall(%) 93.1 75.9 96.6 72.4 100 100 100 90.0 80.0 86.7 82.8 63.3 86.7
F1-Score(%) 96.4 77.2 93.3 79.2 90.4 93.3 93.7 93.1 78.7 83.9 76.2 77.5 86.1
MODEL: DenseNet201
Accuracy(%) 99.7 99.4 99.4 100 100 99.1 99.7 99.4 100 99.7 97.6 98.2 99.4
Precision(%) 100 96.6 96.6 100 100 96.3 96.8 100 100 96.8 81.8 92.9 96.5
Recall(%) 96.6 96.6 96.6 100 100 92.9 100 93.3 100 100 93.1 86.7 96.3
F1-Score(%) 98.3 96.6 96.6 100 100 94.6 98.4 96.5 100 98.4 87.1 89.7 96.4
MODEL: MobileNetv2
Accuracy(%) 98.5 97.0 98.8 96.7 99.7 99.7 99.1 99.1 98.2 98.8 96.1 97.9 98.3
Precision(%) 100 88.0 90.3 75.0 93.3 100 96.6 96.6 96.2 96.4 70.0 92.6 91.3
Recall(%) 82.8 75.9 96.6 93.1 100 96.4 93.3 93.3 83.3 90.0 96.6 83.3 90.4
F1-Score(%) 90.6 81.5 93.3 83.1 96.5 98.2 94.9 94.9 89.3 93.1 81.2 87.7 90.4
MODEL: our model
Accuracy(%) 100 99.7 99.1 99.7 100 99.7 99.7 100 100 99.4 98.2 98.5 99.5
Precision(%) 100 100 96.4 96.7 100 100 96.8 100 100 93.8 89.7 93.1 97.2
Recall(%) 100 96.6 93.1 100 100 96.4 100 100 100 100 89.7 90.0 97.2
F1-Score(%) 100 98.3 94.7 98.3 100 98.2 98.4 100 100 96.8 89.7 91.5 97.2