Best regions for predicting False Negatives (FN, i.e. no prediction of Autism whereas diagnosed Autism).

Each row is for one region, each column is for one model and one combination of datasets considered (training+validation+testing 1 sets (no comorbidity), or all these sets + testing set 2 (containing subjects with comorbidities)), each case returns the number of datasets where the region was important for predicting TN for the model considered. (CSV)