Computer Vision and Image Processing
Adjusted R-squared is a statistical measure that provides an indication of how well a regression model explains the variability of the dependent variable while penalizing for the number of predictors included in the model. This adjustment is crucial for comparing models with different numbers of independent variables, as it helps to prevent overfitting and offers a more reliable evaluation of the model's performance.
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