Crime Type Prediction Using Machine Learning

Abstract

Crime is now a critical problem in today's culture, resulting in major disruptions and instabilities. It is crucial to comprehend crime patterns as a way to take preventive measures considering the rise in unlawful behavior could possibly result in gaps in society. Using free to download data on crimes from Kaggle, this research forecasts the frequency of crimes. The primary objective of this research is to determine the most common violations of law, and to figure out the times and places they typically occur. Various patterns of crime are classified using algorithms based on machine learning, such as the Random Forest classifier, with significantly greater precision rates compared to previous research.