Split into three set, do not run test set.

3 次查看（过去 30 天）
Michelle H
Michelle H 2021-5-14
回答： Madhav Thakker 2021-5-18
Hello.
I was wondering, in a NN, i understand you can split the dataset using for example divederand or divideblock. But how do you "save" the test set from running when training ? Also i understand you can divde and hold out part of the dataset with for example c = cvpartition(n,'Holdout',p), but this only divides into two parts training and test set. I am new to ML, so this is all a bit confusing still i hope this makes sense to you. Also what is the difference between cross validation and holding out one part of the dataset?
Regards Michelle.

请先登录，再回答此问题。

回答（1 个）

Madhav Thakker
Madhav Thakker 2021-5-18
Hi Michelle,
The cvpartition(group,'KFold',k) function with k=n creates a random partition for leave-one-out cross-validation on n observations.
To know more about this, have a look at https://in.mathworks.com/discovery/cross-validation.html.
Hope this helps.

类别

在 Help Center 和 File Exchange 中查找有关 Classification 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