Autism Prediction using ML Algorithms

ASD is gaining ground now more quickly than ever before. Screening testing for autistic features cost a lot of money and take a lot of time. The development of ML and AI has made it possible to predict autism relatively early. Despite the fact that several research have been conducted using various approaches, these investigations have not led to any conclusive findings about the ability to predict autism features in terms of several age factors. The objectives are to provide a web-based program or a website that can identify ASD in persons for any age. as well as to offer a useful prediction model based on ML approach. As a result of this study, using Logistic Regression, AdaBoost and Random Forest Algorithms, autism prediction model was created.