Mathematical Probability Theory
Adjusted r-squared is a statistical measure that provides an adjusted version of the r-squared value in regression analysis, accounting for the number of predictors in the model. It is particularly useful in evaluating the goodness of fit for models with multiple independent variables, as it penalizes excessive use of predictors that do not significantly improve the model's explanatory power. This makes it a more reliable metric for comparing models, especially when one model has more predictors than another.
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