This Project is Dataquest's Monthly Challenge for the month of October, 2016.
In this challenge, we are to explore using past loan data from Lending Club to build models that can predict if a loan will be paid off on time or not.
We are looking at the problem from the conservative investor's standpoint -- we are more interested in a low False Positive Rate(FPR) than a high True Positive Rate(TPR)
Construct a machine learning model that achieves a TPR greater than 50% while maintaining a FPR less than 7%.