Research Article
Classification of Silicon (Si) Wafer Material Defects in Semiconductor Choosers using a Deep Learning ShuffleNet-v2-CNN Model
Table 4
Comparison analysis of performances.
| Models | Accuracy | Precision | Recall | F1-Score |
| DCNN | 91.20 | 90.33 | 90.89 | 89.81 | CNN-kNN | 93.52 | 92.76 | 93.02 | 92.98 | CNN-FRCNN | 95.67 | 94.24 | 95.18 | 94.82 | CNN-Inception | 95.16 | 93.92 | 94.66 | 94.47 | Proposed | 96.93 | 95.40 | 96.26 | 95.75 |
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