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Hi. I was just wondering, every time we practice. Is the split of the training set and the test set fixed? Why is it that the accuracy of my experiments is the same number of folds every time?
The text was updated successfully, but these errors were encountered:
In the experiments, I used k-fold cross-validation. For each fold, I have train/test splits.
For example, if I have 20 subjects and running 2o-fold CV, the train set for fold 0 will be subjects 1->19, while the test will be subject 0. For fold 1, the test will be subject 1 and the others will be used for training, and so on.
Hi. I was just wondering, every time we practice. Is the split of the training set and the test set fixed? Why is it that the accuracy of my experiments is the same number of folds every time?
The text was updated successfully, but these errors were encountered: