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Hi, I'm experimenting with my own CNN for age recognition and I'm wondering whether it is normal to get very different validation accuracy values for the different folds?
For example, I get:
Fold 0 as test set: 55%
Fold 1 as test set: 38%
Fold 2 as test set: 50%
Fold 3 as test set: 44%
Fold 4 as test set: 47%
Is it normal to get such unbalanced results? Or could it be a bug in my data loading code since I'm not using any of your code so far.
Thanks a lot!
The text was updated successfully, but these errors were encountered:
Thank you for your interest in our work. The accuracy on fold 1 seems a bit strange, but other than than it's seem reasonable. Here are the results I reached on the different folds:
Fold 0 as test set: 54%
Fold 1 as test set: 44%
Fold 2 as test set: 54%
Fold 3 as test set: 46%
Fold 4 as test set: 49%
Hi, I'm experimenting with my own CNN for age recognition and I'm wondering whether it is normal to get very different validation accuracy values for the different folds?
For example, I get:
Fold 0 as test set: 55%
Fold 1 as test set: 38%
Fold 2 as test set: 50%
Fold 3 as test set: 44%
Fold 4 as test set: 47%
Is it normal to get such unbalanced results? Or could it be a bug in my data loading code since I'm not using any of your code so far.
Thanks a lot!
The text was updated successfully, but these errors were encountered: