Split into three set, do not run test set.

2 visualizzazioni (ultimi 30 giorni)
Michelle H
Michelle H il 14 Mag 2021
Risposto: Madhav Thakker il 18 Mag 2021
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.

Risposte (1)

Madhav Thakker
Madhav Thakker il 18 Mag 2021
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.

Categorie

Scopri di più su Time Series in Help Center e File Exchange

Community Treasure Hunt

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

Start Hunting!

Translated by