Customer Loan Risk Prediction Based on Decision Tree
Conference: ICMLCA 2021 - 2nd International Conference on Machine Learning and Computer Application
12/17/2021 - 12/19/2021 at Shenyang, China
Proceedings: ICMLCA 2021
Pages: 5Language: englishTyp: PDF
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Authors:
Wang, Hong; Liu, Bingqi (School of Information Science and Engineering, Shenyang Ligong University, Shenyang, Liaoning, China)
Abstract:
This paper proposes a customer risk prediction model based on machine learning. takes Firstly, it preprocesses the load data; then make dimensionality reduced for multiple features through linear analysis and correlation analysis, finally, model according to the analysis of the features. The classification method in this paper adopts decision tree modeling and sklearn machine learning technology of Python is used to predict customer loan risk.