Individual Project
The points for this section are distributed as follows: 10 points for the presentation and 10 points for the final report. This project will follow the style. of a three-minute thesis competition. The top 5 presenters and the top 5 reports will each receive a bonus of 1 point.
We will focus on the catalog.csv data, which can be accessed on Canvas.
|
Variable Name |
Description |
|
ID |
ID number, it has 6~9 digits. |
|
AGE |
Age,the range is from 18 to 75. |
|
INCOME |
Annual income,e.g., 63 means 63,000 one year |
|
SEX |
M: male; F: female |
|
MARRIED |
0: not married; 1: married |
|
FICO |
FICO score, the credit score developed by Fair Isaac Corporation. |
|
OWNHOME |
Number of the owned home |
Target: develop a model to predict FICO scores Requirements:
• You may fit any model for this prediction task.
• All analyses should be conducted using SAS EM.
• Model comparison is necessary to select the best model.
Presentation Guideline (3 minutes):
• Introduction: introduce the data and main purpose for this analysis.
• Preparation: explore the data and make them ready for the model fitting.
• Model: fit the model and explain your model.
• Assessment: evaluate the performance of the selected mode.
• Recording: make a recording video for your presentation and submit it through canvas. Due to time constraints, you should focus more on the sections you want to emphasize while providing a general overview of the other parts. The professor and TA will evaluate your presentation. Recordings of the top 5 presenters will be shown as examples in class.
Final Report Guideline (5 pages):
• Tables and graphs are not included in the page limit.
• All sections are same in the presentation guideline. In the report, you should give more details for your analysis.
The professor and TA will evaluate your report. The top 5 reports will be shown as examples in class.
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