Abstract: Given different personal, economic attributes of a person, classify whether he/she is credit card defalulter or not.
Dataset: Credit Card Defaults of Clients
Implemented Decision Tree Algorithm from scratch to classify defaulters. The attributes were of different categories: numerical, boolean, categorical. Each one requires a different kind of split in the decision tree.
Compared the results with the standard decision tree library of scikit-learn.