Inspired by Manassee-Roubini (2009), the purpose of this analysis is to investigate the set of economic and political conditions that are associated with a likely occurrence of a debt crisis.

As a classification exercise, we will examine the following classifiers: - Penalized Logistic Classifier - Decision Tree Classifier - Random Forest classifier - Boosting tree classifier - K-NN classifier with K=5

In order to tune the model's parameters and find the accuracy of my model, we will be using a k-fold cross-validation procedure for hyperparameter tuning and examining AUC scores as a measure of accuracy.

Reference

Manasse, Paolo & Roubini, Nouriel, 2009. ""Rules of thumb" for sovereign debt crises," Journal of International Economics, Elsevier, vol. 78(2), pages 192-205, July.