Classification

Figure 1. Categorical variable information
Categorical variable information

Given the observed data, the "null" model (that is, one without predictors) would classify all customers into the modal group, Agree. Thus, the null model would be correct 27.3% of the time.

Figure 2. Classification table
Classification table

The classification table shows the practical results of using the model. For each case, the predicted response is the response category with the highest model-predicted probability. Cases are weighted by Final Sampling Weight, 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.

The model correctly classifies 9.9% more, or 37.2% of the cases. In particular, the model does considerably better at classifying those who Agree or Strongly disagree, and slightly worse with those who Disagree.

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