Classifer results are way off

I recently posted a helper library designed to make classifying easier:

https://github.com/TolstoyDotCom/aiaiai

However, using the iris dataset, this is what I get (the library's output):

	For Iris-versicolor, num correct=0. Num incorrectly coded as Iris-virginica=50. Num incorrectly coded as Iris-setosa=0.
	For Iris-virginica, num correct=50. Num incorrectly coded as Iris-versicolor=0. Num incorrectly coded as Iris-setosa=0.
	For Iris-setosa, num correct=34. Num incorrectly coded as Iris-versicolor=1. Num incorrectly coded as Iris-virginica=15. 

It doesn't seem like an off-by-one error since the predicted values are 0, 1, and 2.

The ClassifierBuilder class has the code that builds the model and classifies instances, does it look like I'm doing something wrong?
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