Classification

Figure 1. Classification table
Classification table

The classification table shows the practical results of using the logistic regression model. For each case, the predicted response is Yes if that case's model-predicted logit is greater than 0. Cases are weighted by finalweight, so that the classification table reports the expected model performance in the population.

  • Cells on the diagonal are correct predictions.
  • Cells off the diagonal are incorrect predictions.

Based upon the cases used to create the model, you can expect to correctly classify 85.5% of the nondefaulters in the population using this model. Likewise, you can expect to correctly classify 60.9% of the defaulters. Overall, you can expect to classify 76.5% of the cases correctly; however, because this table was constructed with the cases used to create the model, these estimates are likely to be overly optimistic.

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