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...
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| Format: | Artículo |
| Sprache: | en_US |
| Veröffentlicht: |
2019
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| Online Zugang: | https://doi.org/10.1016/j.inffus.2018.07.004 https://www.sciencedirect.com/science/article/pii/S1566253517308011 |
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