During this project I analyzed a dataset related to car purchases using a decision tree model. The goal of my project is to predict whether a user will purchase a car based on financial and age features. My dataset contains 5 columns including UserID, Gender, Age, AnnualSalery, and Purchased. I was able to train my decision tree model to get 90% of validation accuracy and 90.14% training accuracy.
Connect and innovate with an elite information systems program
