Abstract
Based on the PCA(principal component analysis) and logistic regression model, this essay evaluates the default Risk of the borrowers’ information in the Tianchi Financial Risk dataset. The research finds that the default rate is the main factor affecting Tianchi Financial Risk. Combining borrowers’ credit grades with factors influencing the default rate, the logistic regression analysis is conducted. It is concluded that individuals with a step above D have a high risk of default, whereas those with a grade below D have low-risk defaults.
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