Study and Research on Autism Spectrum Disorder using Supervised Machine Learning Techniques

Machine learning is embedded in our life so deeply it is used around the world by various organizations and in various fields,mostly the healthcare industry it brought a drastic difference in the industry .Autism Spectrum Disorder is affecting the people unknowingly well we are predicting the ASD on advance on bases of different aspects mainly the way the people interact/communicate with others ,the way the do there tasks,The way they react to things ,it is very essential to detect ASD in early stage so that we can control it from being worse.In this study we used child,Adult,Adolescent data set and we used Logistic Regression ,KNN,Random Forest,SVMand Naive Bayes to predict weather the person is having ASD .To know the accurate accuracy of the above algorithm we have used 20 percent data for testing and remaining for training the algorithms .As the outcome the Logistic Regression got 95.0% and KNN ended up with 84.72% for optimal k value and Random Forest and SVM,Naive Bayes got 96.36% and 86.36%,95.15%