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Using recursive feature elimination in random forest to account for correlated variables in high dimensional data

Using recursive feature elimination in random forest to account for correlated variables in high dimensional data
  • Mã tin: 4586
  • Ngày đăng: 10/02/2023
  • Gian hàng: mangyte  
  • Khu vực: Hà nội
  • Giá: Liên hệ
Random forest (RF) is a machine-learning method that generally works well with high-dimensional problems and allows for nonlinear relationships between predictors; however, the presence of correlated predictors has been shown to impact its ability to identify strong predictors.
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Nguồn: https://tailieu.vn/doc/using-recursive-feature-elimination-in-random-forest-to-account-for-correlated-variables-in-high-dim-2613205.html
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