---
type: learning
area: learning
status: learning
date: 2026-05-03
created: 2026-05-03
updated: 1980-01-01
tags:
  - learning
---
ike we can split training set into K folds (in this example we suppose k = 10)
We train our model on 9 folds and  for the tenth one we train our model on it for vaidation and we use the same hyperparameters on all folds
![[Pasted image 20250302121909.webp]]
Or we can use the whole dataset on the whole process