Autistic Spectrum Disorder Screening: Prediction with Machine Learning Models

Autistic Spectrum Disorder (ASD) is a developmental disorder that can be observed in all age groups. This paper uses ASD screening dataset for analysis and prediction of probable cases in adults, children and adolescents. The dataset for each of the age groups are analyzed and inferences are drawn from them. Machine learning algorithms like Artificial Neural Networks (ANN), Random Forest, Logistic Regression, Decision Tree and Support Vector Machines (SVM) are used for prediction and comparison.