German Credit Default - Logistic Regression
The German credit data contains attributes and outcomes on 1,000 loan applications. Lending that results in default is very costly and for this dataset, you will use logistic regression for determining the probability of default: . Use duration, amount, installment, and age in this analysis, along with loan history, purpose, and rent. . You need to use random selection for 900 cases to train the program, and then the other 100 cases will be used for testing. Test the program, and describe your results.