Matlab will provide the MSE and R^2 ( for Regression ), is at enough for your performance evaluation?

The accuracy can be calculated from the "Confusion matrix".."plotconfusion()"  is the matlab syntax ...from the confusion matrix we can calculate the accuracy, sensitivity,specificity, accuracy , PPV, NPV etc..pls follow the reference

http://www.dataschool.io/simple-guide-to-confusion-matrix-terminology/

Can you explain step by step mr  S.V Mahesh Kumar ?

Thanx

Step 1 : After training phase,feed the test feature set in  your  system (you can use fuzzy toolbox in matlab for this purpose)

step 2 : compute the confusion matrix using matlab syntax " plotconfusion"..you will get the confusion matrix values of desired vs predicted diagnosis.

step 3 :The confusion matrix contains the values of  TP, TN, FP, FN.

Step 4: Calculate the accuracy,specificity  using  the above TP, TN, FP, FN  values.

( for these calculations, you can use the tutorial attached in my previous response ).

Thanx sir, i will try it. 

If i'm confuse, may i to ask you again ? :)