特征选择
Learn about feature selection algorithms and explore the functions available for feature selection.
This topic introduces to sequential feature selection and provides an example that selects features sequentially using a custom criterion and the sequentialfs function.
Neighborhood component analysis (NCA) is a non-parametric method for selecting features with the goal of maximizing prediction accuracy of regression and classification algorithms.
Make a more robust and simpler model by removing predictors without compromising the predictive power of the model.
Select split-predictors for random forests using interaction test algorithm.