absolute numbers for errors are wrong

Hi @amohammadi,

As already pointed in the mailing-list (https://groups.google.com/forum/#!topic/bob-devel/RXsX2kgjs1M), the numbers of misclassified and total examples are wrong. Here's an illustration:

==============  ===============  ================
..              Development      Evaluation
==============  ===============  ================
APCER (attack)  7.7%             13.1%
APCER           7.7%             13.1%
BPCER           1.0%             9.7%
ACER            4.3%             11.4%
FTA             0.7%             0.6%
FPR             7.7% (451/1321)  13.1% (749/1571)
FNR             1.0% (13/5880)   9.7% (153/5729)
HTER            4.3%             11.4%
FAR             7.6%             13.0%
FRR             1.7%             10.3%
PRECISION       0.7              0.7
RECALL          1.0              0.9
F1_SCORE        0.8              0.8

When you look at FPR on Evaluation set for instance, 749/1571 * 100 = 47.1, which is different from 13.1%. Actually, the total number of examples have been swapped, since 749/5729 * 100 = 13.1 and 153/1571 * 100 = 9.7