What do all these numbers mean? The important numbers to focus on here are the numbers next to the "Correctly Classified Instances" (59.1 percent) and the "Incorrectly Classified Instances" (40.9 percent). Other important numbers are in the "ROC Area" column, in the first row (the 0.616); I'll explain this number later, but keep it in mind. Finally, in the "Confusion Matrix," it shows you the number of false positives and false negatives. The false positives are 516, and the false negatives are 710 in this matrix.