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Statistical Application Development with R and Python - Second Edition by Prabhanjan Narayanachar Tattar

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Model validation and diagnostics

In the previous chapter, we saw the utility of residual techniques. A similar technique is also required for the logistic regression model and we will develop these methods for the logistic regression model in this section.

Residual plots for the GLM

In the case of linear regression model, we had explored the role of residuals for the purpose of model validation. In the context of logistic regression, actually GLM, we have five different types of residuals for the same purpose:

  • Response residual: The difference between the actual values and the fitted values is the response residual, that is, Residual plots for the GLM, and in particular it ...

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