Blended Features Classification of Leaf-Based Cucumber Disease Using Image Processing Techniques

Table 3

Result for experiment 1.

Classifier	Performance evaluation
	Accuracy (%)	Specificity (%)	Sensitivity (%)	Precision (%)	FNR (%)	FPR
Fine KNN	94.30	82.5	82.5	83.30	5.7	0.011
Subspace KNN	94.30	82.5	82.5	82.50	7.2	0.011
Bagged trees	94.00	96.0	96.0	79.80	6.0	0.013
Weighted KNN	93.80	80.1	80.1	80.83	6.2	0.013
SVM cubic	91.90	65.5	91.6	94.40	8.1	0.031
Quadratic SVM	76.70	68.9	72.0	81.80	23.3	0.055
Fine tree	82.00	78.0	78.0	83.20	18.0	0.040
Boosted trees	66.20	56.0	56.0	72.40	33.8	0.071
Cosine KNN	68.70	60.0	60.0	64.80	31.3	0.071
Medium tree	59.40	49.4	49.4	57.80	59.4	0.093

Bold shows the highest values in terms of accuracy.