Testing a Binary Classifier

I have been training a binary multilayer perceptron on a database made out of roughly 3600 0 values, and 4 1 values. Afterwards, I'm testing the MLP on a test set made out of 7 0 values and 7 1 values. The little amount of 1's in my database is due to the fact that the data collection of this class is rather hard. My MLP is yielding good results, however, my question is if I can interpret these results as good, or if the distribution in classes might have an effect on this. I do not want to overhype my results, and that is why I'm checking over here!