A Rule Extraction Technique Applied to Ensembles of Neural Networks, Random Forests, and Gradient-Boosted Trees
In machine learning, ensembles of models based on Multi-Layer Perceptrons (MLPs) or decision trees are considered successful models. However, explaining their responses is a complex problem that requires the creation of new methods of interpretation. A natural way to explain the classifications of t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Algorithms |
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| Online Access: | https://www.mdpi.com/1999-4893/14/12/339 |