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Comments on: “A random forest guided tour”. (English) Zbl 1402.62131
Summary: This paper is a comment on the survey paper by G. Biau and E. Scornet [ibid. 25, No. 2, 197–227 (2016; Zbl 1402.62133)] about random forests. We focus on the problem of quantifying the impact of each ingredient of random forests on their performance. We show that such a quantification is possible for a simple pure forest, leading to conclusions that could apply more generally. Then, we consider “hold-out” random forests, which are a good middle point between “toy” pure forests and L. Breiman’s original random forests [Mach. Learn. 45, No. 1, 5–32 (2001; Zbl 1007.68152)].

##### MSC:
 62H30 Classification and discrimination; cluster analysis (statistical aspects) 62G08 Nonparametric regression and quantile regression 68T05 Learning and adaptive systems in artificial intelligence
R; randomForest
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##### References:
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