Abstract
In this, we are identify whether a person is having Autistic Spectrum Disorder (ASD) or not, based on screening data of patients. ASD is a neuro development condition where it is link with high cost. If we detect the disorder in early stage and diagnosis then reduced the cost. In existing method, the waiting time for reports and results is very high and its not that much accurate. Todays, information era and technological world, it is required more effective methods to produce the accurate results. In this way, a period effective and available ASD screening is fast approaching to help others and educate people whether they should seek after a formal clinical analysis. In order to early detection of Autistic spectrum disorder is required the most effective machine learning model. In this we apply different statistical and machine learning model to find out disorder. The fast development in the number of ASD problems overall requires datasets identified with conduct characteristics. In this, we collected datasets from with effective people who suffering from disorder and clinical screenings.
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