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Use this tag for questions related to overfitting, which is a modeling error (especially sampling error) where instead of improving model fit statistics, replicable and informative relationships among variables reduce parsimony, and worsens explanatory and predictive validity.
4
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Overfitting in Linear Regression
Overfitting happens when the model performs well on the train data but doesn't do well on the test data. This is because the best fit line by your linear regression model is not a generalized one. …