Design and Implementation of Crime Prediction Using Machine Learning Algorithm

A common approach to reducing crime in a city is to encourage citizen-police cooperation. In the United States and around the world, Twitter is a popular social media platform used by millions of people. Predictive analytics based on Twitter can aid decision support systems. All messages are tagged in real time with their location and time of transmission, which is completely free. Machine learning techniques were used to create an intelligent method of effective criminal detection. In order to find the most accurate classifier, six different classification methods were devised. The learning model parameters of the classifier had to be carefully chosen in order to accurately predict the model's performance. The SVM (2.697) and XG-Boost (2.561) performed better than the other six classifiers in the overall log loss test.