For models with two values of the dependent attribute, these counts are false positives and negatives.

The Confusion Matrix Report is useful for validating classification models.

Nuggets creates the report when it validates a model. It shows the dependent attribute values predicted for each actual value of the dependent attribute. Thus you can see the correct and incorrect counts of the predictions. Hence the name "Confusion matrix"

The diagonal elements are the counts of the correct predictions and the off-diagonal elements the incorrect predictions.

The report is placed by Nuggets in the model folder as a CSV file.  It can be opened with a spreadsheet program such as Excel.