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Classifying Cognitive Impairment Using Random Forest in R: AIBL Dataset Analysis
This project analyzes the AIBL dataset to classify participants into Healthy Controls (HC) and Non-HC (MCI or AD) using a Random Forest model in R. The process includes data preparation, feature engineering, model training, evaluation, and hyperparameter tuning using packages such as tidyverse, caret, and randomForest.