For loan applications, you will use logistic regression to determine default. Cl

For loan applications, you will use logistic regression to determine default.
Click here for access to the German credit data. The German credit data contains attributes and outcomes on 1,000 loan applications. These datasets are provided for the machine learning community.
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.
You will show the code and provide a description for this project in 4–5 pages
References
UC Irvine Machine Learning Repository. (n.d.a). Statlog (German credit data) data set. https://archive.ics.uci.edu/ml/datasets/Statlog+(German+Credit+Data)
UC Irvine Machine Learning Repository. (n.d.b). Welcome to the UC Irvine machine learning repository! https://archive.ics.uci.edu/ml.

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