Personal Credit Scoring via Logistic Regression with Elastic Net Penalty

Li, Juntao; Chang, Mingming; Tian, Pengjie; Chen, Liuyuan; Mu, Xiaoxia

doi:10.1007/978-981-32-9682-4_44

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2023

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“…However, the majority of previous research on credit system focused on static credit evaluation, which ignored the trend of passenger credit. Li et al [1] proposed the logistic regression model with elastic net penalty to conduct personal credit scoring. Support vector machine (SVM) classifiers are applied to evaluate the bank credits of the applicants [2].…”

Section: Introductionmentioning

confidence: 99%

Research on Dynamic Evaluation of Metro Passenger Credit

Zhu

Zhang

2023

E3S Web Conf.

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With the expansion of metro network, the large passenger flow in peak hours has brought great challenges to metro operation. While upgrading the security inspection, the traffic efficiency of passengers in metro stations has also been affected. Considering public security and security inspection efficiency, using the method of passenger credit rating to establish a differentiated security inspection mode has become the development direction of intelligent security inspection in the future. It is necessary to study the passenger credit evaluation system due to a lack of research on metro passenger credit scoring. However, previous research focused on static credit evaluation rather than dynamic credit evaluation. This paper introduces motivation factor, time weight and night safety reduction coefficient to conduct dynamic passenger credit evaluation.

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Section: Introductionmentioning

confidence: 99%