Introduction to the scripts:
- CV_ADHD_Classification.m -- The main function
- Di_CV_Classify.m -- The function for a single CV process
- MLT_BetWitRatioRank.m -- A filter feature selection method uses the ratio of between-class sum of square to within-class sum of sqaure
- MLT_SVMRFE.m -- A wrapper feature selection method SVM-RFE
- MLT_SVMcgForClass2.m -- The function searches the best parameters for SVM with RBF kernel using grid search and cross validation
Note that you have to prepare features by yourself.
Download Link: ADHD_Classification_Code