/Predicting-risky-loans

The objective of the project is to demonstrate a model which can identify risky bank loans i.e., the one's likely to default. In doing so, I have implemented decision tree algorithm and applied boosting to further make the code more accurate.

Primary LanguageR

Predicting risky loans

Identifying bank loans that are likely to default.

     1. Introduction

  The current project demonstrates the use of decision tree algorithm C5.0 in differentiating risky bank loans from non risky ones.

      2. Data Source

      URL: https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data)
      
      Source: Professor Dr. Hans Hofmann 
              Institut f"ur Statistik und "Okonometrie 
              Universit"at Hamburg 
              FB Wirtschaftswissenschaften 
              Von-Melle-Park 5 
              2000 Hamburg 13