Collaborative Data Science
Stepwise regression is a statistical method used in regression analysis to select the most significant variables for inclusion in a predictive model. This technique iteratively adds or removes predictors based on specified criteria, helping to enhance model accuracy while minimizing overfitting. By focusing on the most impactful variables, stepwise regression streamlines the modeling process and improves interpretability.
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