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Hello, you can use the preprocessing.py script in the repo to create a k-fold cross validation train set and test set along with the labels. This makes use of the BOLD signal values provided in the google drive. demo.txt in the repo contains the subject id along with the gender as a binary label.
Hi:
I want to learn how to use final processed BOLD you provided
" https://drive.google.com/file/d/1c4UYvp089KwqAllAHdHMHGjq8y5x882D/view " to run this paper code.
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