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Identification of representative trees in random forests based on a new tree-based distance measure

2022-05-15

Abstract excerpt

In life sciences random forests are often used to train predictive models. However, gaining any explanatory insight into the mechanics leading to a specific outcome is rather complex, which impedes the implementation of random forests into clinical practice. By simplifying a complex ensemble of decision trees to a single most representative tree, it is assumed to be possible to observe common tree structures, the...

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Literature Corpus work
f91f285b-1583-5f42-970c-17896dac28a0
DOI
10.1101/2022.05.15.492004
Open publication

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Identification of representative trees in random forests based on a new tree-based distance measureDOI 10.1101/2022.05.15.492004
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