Pseudo-r² is a measure used to evaluate the goodness-of-fit for generalized linear models (GLMs) when traditional R² is not applicable. It serves as an alternative to R², which is typically used in linear regression, by providing a way to assess how well a model explains the variability of the data, especially in cases with non-normal distributions or binary outcomes. Pseudo-r² values help in comparing different models and determining which one better fits the observed data.
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