Performance of Machine Learning Models on Crime Data

In India, the crime against women is increasing at a startling rate. The National Commission for Women reported that there was a 46% rise in crimes against women in the beginning of the year 2021 as compared to 2020. This pressing issue needs to be addressed and in order to do that crime data needs to be collected so as to understand and analyze the crime rate and make predictions by using the existing information so as to take some proactive measures to reduce the rate of crime against women in future. Machine learning models become an effective mechanism to predict the rate of crime in India for a variety of crime categories by doing analysis of patterns followed in a particular crime or a category, criminal-centric areas, and the comparative study of all those categories of crime. A dataset has been created by collecting data from Kaggle and NCRB, the government website of crime data collection. Various machine learning algorithms have been applied on the data after preprocessing, and performance of all these models is evaluated and compared using various metrics.