Compute performance measures from neural network
1 次查看(过去 30 天)
显示 更早的评论
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);
0 个评论
采纳的回答
KSSV
2022-6-8
编辑:KSSV
2022-6-8
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);
4 个评论
KSSV
2022-6-9
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
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Modeling and Prediction with NARX and Time-Delay Networks 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!