(Python) Creating a Naive Bayes and Decision Tree model for the diagnosis of child Autism Spectrum Disorder
In this project, we conduct experiments based on 'Austism-Child-Data.arff' - a dataset concerning the diagnosis of childhood Autistic Spectrum Disorder Screening (ASDS).
Using the individual characteristics available in the AQ-Child-10 Questerionnaire, our aim is to utilize both the Naïve Bayes algorithm and the Decision Tree classifier to build predictive models for detection of ASD cases in children.