In a final project in diagnosing ADHDAttention deficit hyperactivity disorder (ADHD) using Machine Learning, we obtained parameters from real patients. We used this data and got much higher success rates inwith LDA than inwith SVM and Naive Base, weBayes. We had only 100 examples in our training set. We are wondering why LDA specifically succeeded much more than the others?
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