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

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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