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Peer-to-peer loan acceptance and default prediction with artificial intelligence
Logistic regression (LR) and support vector machine algorithms, together with linear and nonlinear deep neural networks (DNNs), are applied to lending data in order to replicate lender acceptance of loans and predict the likelihood of default of issued loans. A two-phase model is proposed; the first...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7353984/ https://www.ncbi.nlm.nih.gov/pubmed/32742678 http://dx.doi.org/10.1098/rsos.191649 |