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. 2024 Feb 28;10:e1900. doi: 10.7717/peerj-cs.1900

Table 8. Comparative classification results.

Algorithm Evaluating indicator Leaks Mouse bites Open circuits Short circuits Burrs Residual copper Average value
Algorithm in this article Accuracy Rate/% 99.43
Precision Rate/% 100 100 98.82 100 97.67 100 99.42
Recall rate/% 100 97.73 100 98.98 100 100 99.45
F1 score/% 100 98.85 99.41 99.49 98.82 100 99.43
AlexNet Accuracy Rate/% 97.16
Precision Rate/% 92.63 97.67 100 96.04 97.65 100 97.33
Recall rate/% 100 95.45 95.24 98.98 98.81 94.25 97.12
F1 score/% 96.17 96.55 97.56 97.49 98.22 97.04 97.17
VGG-16 Accuracy Rate/% 98.11
Precision Rate/% 100 98.84 98.75 96.00 95.45 100 98.17
Recall rate/% 100 96.59 94.05 97.96 100 100 98.10
F1 score/% 100 97.7 96.34 96.97 97.67 100 98.11
ResNet-50 Accuracy Rate/% 98.68
Precision Rate/% 100 96.67 100 97.00 100 98.86 98.76
Recall rate/% 100 98.86 96.43 98.98 97.62 100 98.65
F1 score/% 100 97.75 98.18 97.98 98.8 99.43 98.69