## What is Information Criteria (AIC, BIC)?

Information Criteria is a more modern selection measure. Measures such as AIC and BIC, attempt to balance fit and complexity

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Measures of error (MSE, MAE, RMSE), or a measure of the overall variability in the model, can also be used as a goodness of fit criteria

R-squared is the classic evaluation metric in linear regression, or more precisely if there are multiple predictors, adjusted R-squared.

Global F test is the most high-level model significance measure, which simply reports if any component of the model is significant.