Compute performance measures from neural network

2022 6 8
1 个回答
回答已采纳
更新时间：2022 6 9
14 次查看（30 天）

0 个投票

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);

请先登录，再回答此问题。

 采纳的回答

KSSV
KSSV 2022-6-8
编辑：KSSV 2022-6-8

1 个投票

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
显示 2更早的评论 隐藏 2更早的评论

KSSV
KSSV 2022-6-8
Yes....it is. T is the target.
KSSV
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
Elysi Cochin
Elysi Cochin 2022-6-9
I saw coefficient of correlation and coefficient of determination, so got a doubt, which the regression function computes. Thank you Sir for clearing

请先登录，再进行评论。

更多回答（0 个）

类别

在 帮助中心 和 File Exchange 中查找有关 Pattern Recognition 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by