Using Soft Voting Framework to Evaluate Adolescent Delinquency Using Machine Learning

A machine-learning-based soft voting framework is used to create an automated system that grades and assesses adolescent criminality.

21 oct 2022.

Adolescent delinquency (or juvenile delinquency) is the act of engaging in illegal behavior by a minor below the age of majority. Studies show that the chances of developing a deviant character increase significantly during adolescence. Determining deviant youth and providing appropriate medical counseling is a sensible thing to do. Human evaluation of adolescent behaviors is subjective due to a lack of qualified clinicians. A machine-learning-based automated system that can assess and grade delinquency in teens at an early age is needed.