Crime Analysis and Prediction using Machine Learning Algorithms
M. Darshan, Shankaraiah Shankaraiah · 2022 IEEE 2nd Mysore Sub Section International Conference (MysuruCon) · 2022
Analysis of crime is an organized approach in identifying and assessing criminal patterns and trends. Crime and infringement are hazards to law and are expected to be in order. Accuracy in crime foresee tendency can provide assistance to increase the modern security by algorithmically. We have to visit many places regularly for our daily activities in our everyday lives. This paper has been done to predict which state has the highest crime rate using the machine learning techniques namely K-means, Naive Bayes, and Linear Regression. This study will provide assistance with most agreeable techniques of machine learning classification for the prediction of crime rates and its analysis. The algorithm which shows the best among these three in terms of efficiency and accuracy as considering the best algorithm for crime prediction and its analysis. This will recognize crime prone area and help public to become aware of the crime zones and find their safe route to the destination.