FORECASTING FUTURE CRIME: A PREDICTIVE MODEL FOR CRIME RATE USING MACHINE LEARNING

The findings reveal that the predictive model based on the random forests algorithm delivers the highest accuracy for predicting crime rates, highlighting the potential of machine learning techniques as a valuable tool to aid law enforcement agencies and policymakers in making informed decisions to prevent and reduce crime rates.