Table III.

Multilayer feed forward neural networks classification modeling

Classifier performances
Values prediction			Confusion matrix
Value	Recall	1-Precision		Normal	Exp	Sum
Normal	1.0000	0.0000	Normal	11	0	11
Exp	1.0000	0.0000	Exp	0	21	21
			Sum	11	21	32

Confusion matrix contains training of seventy percent of experimental and control group. Error rate is frequency of errors, Recall is sensitivity and 1-Precision is specificity rate, which shows 100 percent sensitivity and specificity.

Error rate= 0.000