BACKWARD ELIMINATION

refers to a form of stepwise regression in which the least important variables are systematically removed from the prediction equation. Eventually, a preset criterion is reached.

BACKWARD ELIMINATION: “Backward elimination is a statistical procedure that removes the least important variables in a step-wise manner, leaving only the most important ones.”
 

x
LinkedInRedditMessengerTelegramWhatsApp

Related terms:

  1. Backward Elimination
  2. Backward Conditioning (Backward Pairing)
  3. Elimination By Aspects
  4. Elimination Disorders
  5. Backward Association
  6. Backward Chaining
  7. Working Backward Heuristic
  8. BACKWARD SEARCH
  9. BACKWARD ASSOCIATION
  10. BACKWARD DISPLACEMENT