Table 3.

Proposed model’s performance of each class across different data splits.

Class	Precision (mean ± std)	Recall (mean ± std)	F1-score (mean ± std)
Blast	0.995 ± 0.002	0.993 ± 0.004	0.994 ± 0.003
Hispa	0.997 ± 0.005	0.993 ± 0.002	0.995 ± 0.004
Tungro	1.000 ± 0.004	0.992 ± 0.002	0.996 ± 0.002
White_stem_borer	0.992 ± 0.003	0.995 ± 0.002	0.993 ± 0.003
Brown_spot	0.975 ± 0.002	0.987 ± 0.002	0.981 ± 0.003
Lear_roller	0.993 ± 0.002	0.987 ± 0.003	0.990 ± 0.001
Downy_mildew	0.994 ± 0.001	0.994 ± 0.003	0.994 ± 0.003
Yellow_stem_borer	0.989 ± 0.004	0.987 ± 0.002	0.988 ± 0.002
Bacterial_leaf_blight	0.989 ± 0.003	0.994 ± 0.003	0.992 ± 0.001
Black_stem_borer	0.986 ± 0.004	0.991 ± 0.002	0.989 ± 0.005
Bacterial_leaf_streak	0.986 ± 0.001	0.989 ± 0.002	0.988 ± 0.005
Bacterial_panicle_blight	0.997 ± 0.005	0.991 ± 0.002	0.991 ± 0.004