Python sklearn.feature_selection Module

This page shows the popular functions and classes defined in the sklearn.feature_selection module. The items are ordered by their popularity in 40,000 open source Python projects. If you can not find a good example below, you can try the search function to search modules.

• 1. SelectKBest()    
  Used in 47 projects
• 2. chi2()    
  Used in 37 projects
• 3. f_classif()    
  Used in 30 projects
• 4. SelectFromModel()    
  Used in 30 projects
• 5. RFE    
  Used in 26 projects
• 6. f_regression()    
  Used in 23 projects
• 7. RFECV    
  Used in 19 projects
• 8. VarianceThreshold()    
  Used in 17 projects
• 9. SelectPercentile()    
  Used in 17 projects
• 10. mutual_info_classif()    
  Used in 8 projects
• 11. SelectFpr()    
  Used in 6 projects
• 12. SelectFdr()    
  Used in 6 projects
• 13. SelectFwe()    
  Used in 6 projects
• 14. mutual_info_regression()    
  Used in 5 projects