A probabilistic segmentation and entropy-rank correlation-based feature selection approach for the recognition of fruit diseases

EURASIP Journal on Image and Video Processing

Table 12 Proposed classification results on all selected diseases

Classification results of all selected disease
Classification method	Performance measures
	FPR	Sen (%)	Prec (%)	FNR (%)	Accuracy (%)
DT	0.041	87.31	87.30	12.6	87.4
QDA	0.038	88.22	88.92	11.5	88.5
Q SVM	0.022	92.90	93.37	6.9	93.1
F-KNN	0.013	95.00	94.82	5.2	94.8
W-KNN	0.010	95.52	95.42	4.6	95.4
EBT	0.020	93.55	94.00	6.3	93.7
ESDA	0.009	95.92	96.07	4.0	96.0
M-Class SVM	0.002	97.05	97.60	2.3	97.7