Description: Juvenile crime prediction refers to predictive modeling focused on forecasting crime rates among youth. This approach utilizes data analysis techniques and statistical algorithms to identify patterns and trends in juvenile delinquent behavior. By collecting and analyzing historical data, such as crime rates, demographics, socioeconomic factors, and family backgrounds, the aim is to anticipate the likelihood that an individual or group of youth will commit crimes in the future. The relevance of this practice lies in its potential to inform public policy, improve early intervention, and optimize resource allocation in the juvenile justice system. Additionally, it allows authorities and community organizations to develop more effective prevention programs targeted at at-risk populations. In a context where juvenile crime can have a significant impact on society, juvenile crime prediction becomes a valuable tool for promoting safety and social well-being.
