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.

		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%