Research Article
Fault-Level Grading of Photovoltaic Cells Employing Lightweight Deep Learning Models
Table 4
Binary classification results of deep ANN using augmented data: (a) GLCM features and (b) LBP features.
| ā | Actual class | Healthy | Full faulty |
| (a) GLCM features | Predicted class | Healthy | 203 | 24 | Full faulty | 23 | 83 | Classwise accuracy | 89.8% | 77.6% | Overall accuracy | 85.9% |
| (b) LBP features | Predicted class | Healthy | 216 | 16 | Full faulty | 10 | 91 | Classwise accuracy | 95.6% | 85% | Overall accuracy | 92.2% |
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