Compute performance measures from neural network

How to compute

Coefficient of Determination - R^2

Root Mean Squared Error - RMSE

Mean Absolute Percentage Error - MAPE

from

net = train(net,X,T);
Y = net(X);

Answer 1

[KSSV]

net = train(net,X,T);
Yp = net(X);   % predicted from Net and Let Yt be your true value 
R = regression(Yp,Yt) ;   % Regression
RMSE = sqrt(mean((Yt - Yp).^2));   % RMSE
% MAPE
pre_MAPE = abs((yp-Yt)./Yt);
MAPE = mean(pre_MAPE);

[Elysi Cochin]

Is Yt and T the same?

[KSSV]

Yes....it is. T is the target.

[KSSV]

Off course, yes. Why you got such a doubt?

Yesterday what I gave is a regression (R). For R square: refer: https://in.mathworks.com/help/matlab/data_analysis/linear-regression.html

[Elysi Cochin]

I saw coefficient of correlation and coefficient of determination, so got a doubt, which the regression function computes. Thank you Sir for clearing