Classification Table

Figure 1. Classification table
Classification table

The classification table shows the practical results of using the multinomial logistic regression model.

For each case, the predicted response category is chosen by selecting the category with the highest model-predicted probability.

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

Of the cases used to create the model, 118 of the 231 people who chose the breakfast bar are classified correctly.

251 of the 310 people who chose oatmeal are classified correctly.

127 of the 339 people who chose cereal are classified correctly.

Overall, 56.4% of the cases are classified correctly.

Figure 2. Case processing summary
Case processing summary

This compares favorably to the "null", or intercept-only model, which classifies all cases as the modal category. According to the case processing summary, the modal category is Cereal, with 38.5% of the cases. Thus, the null model classifies correctly 38.5% of the time.

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