• Murugan R
• Senbagamalar L

In current situation the growth of Autism Spectrum Disorder (ASD) is increasing day by day. Previously to detect ASD screening test took place but they ended up expensive and time consuming. Thus, using AI and ML technologies we can predict the disorder. There are number of studies carried out with different algorithms, dataset and other categories. But they haven’t given effective result. Therefore, we have used three different algorithms i.e., Random Forest, SVM and Adaboost. They are compared between each other and the best of the three is been implemented and taken into consideration for an effective result.

Autism Spectrum Disorder, Machine Learning, Adaboost, Random Forest, Support Vector Machine

"PREDICTION OF AUTISM SPECTRUM DISORDER USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 2, page no.c950-c959, February-2022, Available :http://www.jetir.org/papers/JETIR2202213.pdf

"PREDICTION OF AUTISM SPECTRUM DISORDER USING MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 2, page no. ppc950-c959, February-2022, Available at : http://www.jetir.org/papers/JETIR2202213.pdf