Buchtel College of Arts and Sciences

Date of Last Revision

2024-06-04 07:23:41


Data Science, Statistics

Honors Course


Number of Credits


Degree Name

Bachelor of Science

Date of Expected Graduation

Spring 2024


My project uses a dataset of bankrupt and non-bankrupt companies in Taiwan from 1999 to 2009. This data was collected from the Taiwan Economic Journal. The statistical methods I used to model the data are CHAID, CART, and logistic regression. The models created are tools that can predict if a company is bankrupt, or not-bankrupt based on other data about the company. I created multiple models for each of the methods to find the best model for each method. I then analyzed the output from each method. Lastly, I determined which model was the best for this data based on the model's accuracy in predicting the bankruptcy status of companies.

Research Sponsor

Mark Fridline

First Reader

Richard Einsporn

Second Reader

Jun Ye

Honors Faculty Advisor

Nao Mimoto

Proprietary and/or Confidential Information




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