The goal of this project is to build a model to predict loan default.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

The goal of this project is to build a model to predict loan default. Proceed the following process:

1. Download the following dataset onto the directory "9.4 under "My SAS File" under "Documents" in the "C" drive of your computer.

2. Run the SAS Enterprise Miner and open the dataset, which must be located in the "Sasuser Library".

3. Edit variable as you see in the attached snapshot. Make sure that the "LOAN_DEFAULT" variable is the target variable and change the Role to Target and the Level to Binary

4. Explore the dataset via a StatExplore node or a Graph Explore node.

5. Partition Data into Subsamples by maintaining the default of data set allocation of a Data Partition node.

6. Replace missing values via Imputation.

7. Manage outliers.

8. Transform the variables by selecting Best for the Interval Inputs and selecting Dummy Indicators for the Class Inputs.

9. Conduct Logistic, DMINE, Partial Least Squares, and Least Angle Regression analyses.

10. Select the best model and report every result with screenshots.

 

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