Mathematical Modeling
Adjusted R-squared is a statistical measure that provides an adjusted value of R-squared, accounting for the number of predictors in a regression model. It is used to assess the goodness-of-fit of a model, particularly when comparing models with different numbers of independent variables. The adjusted version penalizes the addition of irrelevant predictors, thus offering a more accurate evaluation of model performance in the context of model comparison and selection.
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