Split into three set, do not run test set.
1 vue (au cours des 30 derniers jours)
Afficher commentaires plus anciens
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.
0 commentaires
Réponses (1)
Madhav Thakker
le 18 Mai 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.
Hope this helps.
0 commentaires
Voir également
Catégories
En savoir plus sur Time Series dans Help Center et File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!