Table 4.

Confusion matrix for ripeness grading identification for different classifiers.

Fruit	Classifier	TP %	FP %	FN %	TN %	Accu. %
Golden Apple	Naive Bayes	73.66	6.67	26.33	93.33	83.50
	Linear Discriminant Analysis	73.00	8.67	27.00	91.33	82.17
	Decision Tree	76.33	12.33	23.67	87.67	82.00
	Nearest Neighbor	81.33	13.33	18.67	86.67	84.00
	Nearest Neighbor k = 5	80.00	13.67	20.00	86.33	83.17
	SVM	68.00	2.00	32.00	98.00	83.00
Banana	Naive Bayes	90.00	4.00	10.00	96.00	93.00
	Linear Discriminant Analysis	90.50	5.00	9.50	95.00	92.75
	Decision Tree	84.50	3.50	15.50	96.50	90.50
	Nearest Neighbor	87.00	13.00	13.00	87.00	87.00
	Nearest Neighbor k = 5	87.00	3.00	13.00	97.00	92.00
	SVM	90.50	5.50	9.50	94.50	92.50
Red apple	Naive Bayes	73.33	46.67	26.67	53.33	63.33
	Linear Discriminant Analysis	86.67	40.00	13.33	60.00	73.33
	Decision Tree	63.33	40.00	36.37	60.00	61.67
	Nearest Neighbor	60.00	66.67	40.00	33.33	46.67
	Nearest Neighbor k = 5	80.00	36.67	20.00	63.33	71.67
	SVM	96.67	90.00	3.3	10.00	53.33
	QDA	86.67	26.67	13.33	73.33	80.00