Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
Credit risk and corporate bankruptcy prediction has widely been studied as a binary classification problem using both advanced statistical and machine learning models. Ensembles of classifiers have demonstrated their effectiveness for various applications in finance using data sets that are often ch...
Sábháilte in:
| Príomhchruthaitheoir: | |
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| Rannpháirtithe: | , |
| Formáid: | Artículo |
| Teanga: | en_US |
| Foilsithe / Cruthaithe: |
2019
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| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.1016/j.inffus.2018.07.004 https://www.sciencedirect.com/science/article/pii/S1566253517308011 |
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