Analysis of Credit Default Prediction Based on Logistic Regression, Random Forest and KNN Model
Yutong Wen
Abstract:Addressing the prevalent issue of limited access to loans for individuals with inadequate or non-existent credit histories is imperative to foster financial inclusion and safeguard vulnerable populations from unscrupulous lenders. With the help of unique characteristics, this research seeks to improve financial accessibility for the unbanked population by creating a safe and satisfying financing environment. The paper uses an imbalanced dataset that was gathered from Kaggle to examine how machine learning tech… Show more
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