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.

authors

• Zazueta Gutiérrez Jorge

publication date

• 2023-01-01

published in

• SocArXiv  Journal

keywords

• bankruptcy; support vector machines; classifier, prediction

Digital Object Identifier (DOI)

• 10.31219/osf.io/7z24k

PubMed ID

start page

end page

volume

issue