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| Author: | Baesens, B. (et al.) |
| Title: | Using neural network rule extraction and decision tables for credit-risk evaluation |
| Journal: | Management Science
2003 : MAR, VOL. 49:3, p. 312-329 |
| Index terms: | Credit Decision tables Neural networks Risk |
| Language: | eng |
| Abstract: | A major drawback associated with the use of neural networks for decision making s their lack of explanation capability. While they can achieve a high predictive accuracy rate, the reasoning behind how they reach their decisions is not readily available. The authors present the results from analysing three real-life credit-risk data sets using neural network rule extraction techniques. |
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