FAQ's
As we take a lot of training data involving a number of features, these selection techniques help to reduce the variables for making the best feature set possible.
Fisher’s Score is the most popular algorithm used for the feature selection process.
We often use filtering in the pre-processing stage and the steps involving the selection of features are not dependent on the algorithms. The selection of features is done depending on their results scores after performing various tests such as statistical tests on them.