sirus 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 Standard Articles 1 Publication describing the Software, including 1 Publication in zbMATH Year SIRUS: stable and interpretable RUle set for classification. Zbl 1458.62126Bénard, Clément; Biau, Gérard; Da Veiga, Sébastien; Scornet, Erwan 2021 all top 5 Cited by 7 Authors 1 Bénard, Clément 1 Biau, Gérard 1 Carrizosa, Emilio 1 da Veiga, Sébastien 1 Molero-Río, Cristina 1 Romero Morales, Dolores 1 Scornet, Erwan Cited in 2 Serials 1 Top 1 Electronic Journal of Statistics Cited in 2 Fields 1 Statistics (62-XX) 1 Operations research, mathematical programming (90-XX) Citations by Year