macisluca/TaiwanCreditDefault2006

The aim of this paper is the analysis of which are the characteristics of an individual that most accurately predict the capability of being a solvable creditor. We used three different classification techniques, namely: logistic regression, k-nearest neighbors and support vector machines. This dataset was taken from a Taiwanese bank facing the credit card crisis of 2006 (http://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients)

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GPL-3.0

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credit-risk-modeling

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Dec 21, 2021

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Credit Risk Modeling · 240 frameworks

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