Prediction of Attention Deficit Hyperactivity Disorder (ADHD) using machine learning Techniques based on classification of EEG signal

The k nearest neighbor classifier is able to predict attention deficit hyperactivity disorder with high accuracy and it is far better than Naïve Bayes (52%) and logistic regression (66 %).