swMATH ID: 36843
Software Authors: Clement Benard, Marvin N. Wright
Description: R package sirus: Stable and Interpretable RUle Set. A regression and classification algorithm based on random forests, which takes the form of a short list of rules. SIRUS combines the simplicity of decision trees with a predictivity close to random forests. The core aggregation principle of random forests is kept, but instead of aggregating predictions, SIRUS aggregates the forest structure: the most frequent nodes of the forest are selected to form a stable rule ensemble model. The algorithm is fully described in the following articles: Benard C., Biau G., da Veiga S., Scornet E. (2019) <arXiv:1908.06852> for classification, and Benard C., Biau G., da Veiga S., Scornet E. (2020) <arXiv:2004.14841> for regression. This R package is a fork from the project ranger (<https://github.com/imbs-hl/ranger>).
Homepage: https://cran.r-project.org/web/packages/sirus/index.html
Source Code:  https://github.com/cran/sirus
Dependencies: R
Related Software: UCI-ml; C4.5; rpart; ORL; MurTree; IPBoost; MeLIME; HHCART; GOSDT; obliqueRF; SpatialML; shap; iml; XGBoost; AdaBoost-SAMME; evtree; AdaBoost.MH; CRIO; arulesCBA; nodeHarvest
Cited in: 2 Documents

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