Fig. 1From: Predicting cognitive dysfunction and regional hubs using Braak staging amyloid-beta biomarkers and machine learningSVR model predicts MMSE with DVRs as feature variables. A tenfold CV was applied to the DVR and MMSE data sets. Grid Search CV is used for determining the optimum c, ϵ, and γ values in each fold. The SVR model used these values to fit train data and predict test set MMSE outcomes. The process is repeated for all tenfold data combinationsBack to article page