Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests

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Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests

20 February 2024

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Papers citing "Randomization Can Reduce Both Bias and Variance: A Case Study in Random Forests"

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Title
When do Random Forests work? C. Revelas O. Boldea B. J. M. Werker 84 0 0 17 Apr 2025
Trees, Forests, Chickens, and Eggs: When and Why to Prune Trees in a Random Forest Siyu Zhou L. Mentch 63 22 0 30 Mar 2021
Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance L. Mentch Siyu Zhou 102 14 0 07 Mar 2020
Randomization as Regularization: A Degrees of Freedom Explanation for Random Forest Success L. Mentch Siyu Zhou 87 72 0 01 Nov 2019
Extended Comparisons of Best Subset Selection, Forward Stepwise Selection, and the Lasso Trevor Hastie Robert Tibshirani Ryan J. Tibshirani 135 205 0 27 Jul 2017
Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers A. Wyner Matthew A. Olson J. Bleich David Mease 156 269 0 28 Apr 2015