SIRUS: stable and interpretable RUle set for classification (Q2219234)
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scientific article
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | SIRUS: stable and interpretable RUle set for classification |
scientific article |
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SIRUS: stable and interpretable RUle set for classification (English)
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19 January 2021
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A new regression rule algorithm called SIRUS is proposed. The main idea of this algorithm is to extract rules from random forests. It is proved that the proposed method enjoys the asymptotic stability. The efficency of the proposed method is illustrated on two popular benchmark datasets.
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classification
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interpretability
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rules
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stability
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random forests
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