Toddler ASD Classification Using Machine Learning Techniques

At present era, Autism Spectrum Disorder (ASD) has become one of the severe neurologically developed disorders throughout world and early recognition can substantially get rid this problem. The proposed work is based on analysis unbalanced ASD toddler dataset from UCI data repository. in paper performed three stages. In first stage, original preprocessed through converting categorical attributes to numeric values by process frequency encoding followed standardization attributes. second dimension input reduced using Principal component (PCA). end, classification Toddler different machine learning models two stages viz. training parameter ? k-fold cross validation (k=10). experimentation yields very high performance comparison with other state-of-art approaches.