# What are the important Factors for Feature Selection in Classification Problems? [closed]

While doing a classification I have to choose from the ocean of choices at every step like model selection, performance criteria selection and all. But the important two things I get confused most of the times are. 1. Model Selection 2. Feature Selection.

Can someone tell me that what is the criteria to select and important rules for feature selection?

For example We remove the multi-colinear variables that are highly co related. Which selection technique is better than the other. For example Chi_Square, ANOVA, Variance Threshold. Which one to use and when?

What are the basic rules of thumb if there are any?

• Try searching this site for "feature selection", it's a very wide topic – Itamar Mushkin Dec 11 '19 at 9:54