Express the error rate of my binary classifier

Do not use ClassificationError as it only works for multiclass labels. Using the standard arithmetic and logical operators you can express this as

err = (label != (prediction > 0.5))
...
evaluationNodes = (err)  

where we assume here that prediction is an estimate of the probability of the positive class given the input.