Common feature selection methods

conclusion Filtering methods are faster but coarser. Packaging and embedding methods are more precise and more suitable for adjustment to algorithms, but they are computationally intensive and take longer to run. When there is a large amount of data, differential filtering and mutual information methods are preferred before other feature ...

Posted on Sun, 03 Oct 2021 13:10:42 -0400 by FireyIce01