Step 1: Evaluate how well the observations are classified
Examine the proportion of observations correctly placed in their true groups to evaluate how well your observations are classified.
Step 2: Examine the misclassified observations
Compare the groups that the observations were put into (the predicted group) with the group that was indicated in the grouping column of the worksheet (the true group). If the predicted group does not match the true group, the observation is misclassified. Look for patterns that reveal how observations are most likely to be misclassified.
If you used cross-validation for the analysis, compare the cross-validated (X-val) predicted groups with the true groups.