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Adjusted R-squared

Adjusted R² is a corrected version of the coefficient of determination that accounts for the number of predictors in a regression model. Introduced by Henri Theil in 1961, it addresses the fundamental limitation of standard R²: the tendency to increase whenever any predictor is added, regardless of whether that predictor contributes meaningfully to explaining the target variable.

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Adjusted Coefficient of Determination

Taksonoomiline meetodikirje · mcdm / model-evaluation

Theil, H. (1961). Economic Forecasts and Policy. Amsterdam: North-Holland Publishing Company. · URL
Ezekiel, M. (1930). Methods of Correlation Analysis. New York: John Wiley & Sons. · URL
Judge, G. G., Griffiths, W. E., Hill, R. C., Lütkepohl, H., & Lee, T. C. (1985). The Theory and Practice of Econometrics. New York: John Wiley & Sons. · ISBN 978-0471050773

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Same method familyAkaike Information Criterionmachine-suggested · Relational suggestion, not evidence.Same method familyBayesian Information Criterionmachine-suggested · Relational suggestion, not evidence.Same method familyMean Squared Errormachine-suggested · Relational suggestion, not evidence.Taxonomic bucketR-squaredmachine-suggested · Relational suggestion, not evidence.Same method familyRoot Mean Squared Errormachine-suggested · Relational suggestion, not evidence.