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SIRUS: Stable and Interpretable RUle Set for Classification

stat.ML · 2019-08-19 · conditional · novelty 7.0

SIRUS grows a random forest whose splits are limited to fixed quantiles, counts how often each rule appears across the forest, and retains only the most frequent rules to produce a stable and readable classifier.

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  • SIRUS: Stable and Interpretable RUle Set for Classification stat.ML · 2019-08-19 · conditional · none · ref 3

    SIRUS grows a random forest whose splits are limited to fixed quantiles, counts how often each rule appears across the forest, and retains only the most frequent rules to produce a stable and readable classifier.