I am evaluating the performance of my deep learning model. My model is using an early stopping technic and I would like to do 5-fold cross-validation. Would below be the correct performance evaluation?
training, test split for 4:1 and split the training set into a training, validation set 4:1. Eventually, the train, validation, and test splits are 16:4:5
Do above for 5 times with changing the test set fold.
[ fold 0 ][ fold 1 ][ fold 2 ][ fold 3 ][ fold 4 ]
[ train ][ test ]
# sub folds
[sub 0][sub 1][sub 2][sub 3][sub 4] <-- split training set into training, validation sets
[ train ][valid ][ test ]
I had checked link_01, link_02, link_03, and link_04 but couldn't find exact solution,
