Feature selection methods are usually classified into three groups: filters. wrappers and embedded methods. The second important criterion of their classification is an individual or multivariate approach to evaluation of the feature relevance. The chessboard problem is an illustrative example. https://fitnessgravesyardes.shop/product-category/pulse-receiver-set/