Support Vector Machines and Bankruptcy Prediction

Jorge Zazueta, Jorge Zazueta-Hernández and Andrea Chavez Heredia

No 7z24k, SocArXiv from Center for Open Science

Abstract: We provide an intuitive construction of a support vector machine (SVM) and explore the motivation behind using different tools for data classification. Beginning with linear classifiers, we build intuition on the subtlety of classification in increasingly non-linear circumstances and conclude with an example of bankruptcy prediction to illustrate the effectiveness and flexibility of support vector machines.

Date: 2023-06-23
New Economics Papers: this item is included in nep-big, nep-cmp and nep-rmg
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Persistent link: https://EconPapers.repec.org/RePEc:osf:socarx:7z24k

DOI: 10.31219/osf.io/7z24k

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