This project is a logistic regression model, it classifies & predicts weather or not a customer will default on their next credit card payment given credit bureau historical information, income and other attributes. It uses Scikit Learns RandomForestClassifier and compares results to a KNeighborsClassifer. The model makes use of GridSearchCV and cross validation. Evaluating models against each other using the confusion matrix and ROC Curve metrics.