Comparative study of support vector machines and random forests machine learning algorithms on credit operation

Volume: 51, Issue: 12, Pages: 2492 - 2500
Published: May 12, 2020
Abstract
Summary Corporate insolvency has significant adverse effects on an economy. With the number of multinationals increasing rapidly, corporate bankruptcy can severely disrupt the global financial environment. However, multinationals do not fail instantaneously; objective strategies combined with a rigorous analysis of both qualitative and quantifiable data can go a long way in identifying an organization's financial risks. Recent advancements in...
Paper Details
Title
Comparative study of support vector machines and random forests machine learning algorithms on credit operation
Published Date
May 12, 2020
Volume
51
Issue
12
Pages
2492 - 2500
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