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You can create a validation base; i.e. a set of character images from your dataset with the label (like image of an "A" with the label A). Labelizing 100 images won't take long.
You run these images through the classifier, and you check how many correct results do you get. It will give the precision of the classifier. You can change the parameters (like K) to see how does it behave.
If you can't improve the results, you might have to use a different training set or another classification algorithm.
