gistfile1.txt

For a binary classification with two outputs, eihter [1,0] or [0,1], 
and the Evalution object, the following outputs are generated ...

The following confusion matrix:
                  Predicted Class
                       0     1 Total
Actual Class     0  1500     2  1502
                 1    68   131   199
             Total  1568   133
             
And the following counts:
    TP     FP     FN     TN 
  1631     70     70   1631 
  
--> TP == TN == (confusionTP + confusionTN) and FN == FP == (confusionFP + confusionFN)