Date of Submission
Academic Programs and Concentrations
Project Advisor 1
This project studies the classification variable ‘default’ in Peer to Peer lending dataset known as Lending Club. The project improved on existing work in terms of accuracy, F-1 measure, precision, recall, and root mean squared error. We explored balancing techniques such as oversampling the minority class, undersampling the majority class, and random forests with balanced bootstraps. We also analyzed and proposed new features that improve the Learner performance.
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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Bokhari, Mohammad Mubasil, "Credit Risk Analysis in Peer to Peer Lending Data set: Lending Club" (2019). Senior Projects Spring 2019. 105.
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