To predict if an insurance policy holder would be interested to buy a vehicle insurance as well. The aim of this project is to leverage the machine learning algorithms such as Logistic Regression and Random Forest to create a predictive model using statistically significant variables from the given data set. Model accuracy will be assessed using different techniques such as ROC (Receiver operating characteristic), AUC (Area under the ROC curve) and Confusion Matrix