The Hosmer-Lemeshow test is a statistical test used to assess the goodness of fit for logistic regression models. It evaluates whether the observed event rates match the expected event rates across different subgroups of data, providing insights into how well the model predicts outcomes. This test is particularly important in model diagnostics as it helps identify potential problems with the model's performance.
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