Team name: Don't mess with Texas. Analyst presentation. Developed a model using housing loan database by Home Mortgage Disclosure Act (HMDA). Overview of Basic Methodology: Predict the likelihood of a person getting a loan from FPC. Model: Logistic regression and Decision Tree. Dependent variable: “Approved”, if the loan application was approved or not. Scope: 662,997 total observations for year 2010 extracted from the housing loan database that was assembled by federal agencies pursuant to the Home Mortgage Disclosure Act (HMDA). After thoroughly cleaning the data, the model had 550,336 observations. Sampling: Small set: 10% of the data. Holdout set: 25% of the data.