清空筛选条件
清空筛选条件

How can I plot a confusion matrix to determine the prediction accuracy of a NAR predicted model?

2 次查看（过去 30 天）
Kartik
Kartik 2018-1-24
评论： Greg Heath 2018-1-25
I have used NAR (Nonlinear autoregressive model) to predict a time series.
Now I want to know the prediction accuracy of the neural network using a confusion matrix. How can I plot the same as I cant find any option to plot the confusion matrix in the given options. I can use plotconfusion(targets,outputs) but what would the targets and outputs be as you can refer from the figure where we have the actual time series and predicted time series.Kindly help
  3 个评论
显示 1更早的评论
Kartik
Kartik 2018-1-24
I have already calculated the mean square errors.I have sent the paper to a journal and the reviewer specifically asked for a confusion matrix for predicting the accuracy of neural network however i could not get the same thing you said. Can i get around this someway?
Greg Heath
Greg Heath 2018-1-25
Confusion matrices are appropriate for classifiers and pattern recognizers.
It appears that the reviewer is confused.
Hope this helps.
Greg

请先登录，再进行评论。

请先登录，再回答此问题。

回答（0 个）

类别

在 Help Center 和 File Exchange 中查找有关 Sequence and Numeric Feature Data Workflows 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