I may utilize the Cp Criterion, AICp, and SBCp to aid in choosing the optimal model. All of them impose sanctions for introducing predictions.
What is subset regression model?
Best subsets regression is a model-building regression analysis that is exploratory. It compares every model that might be built using a specified set of predictors. Best subset selection is a technique that looks at all potential combinations of independent variables in order to identify the subset of independent variables (Xi) that best predicts the result (Y). Finding a small subset of predictors is the goal of best-subset selection in order for the final linear model to have the most ideal prediction accuracy.
There are Cp Criterion, AICp and SBCp that I can use to help select the best model. They all place penalties for adding predictors.
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