chore(README): don't tell them about accuracy, let them try it themselves
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		@@ -39,7 +39,7 @@ See other examples:
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# Simplest case of a neural network
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stack exec example-xor
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# Naive Bayes document classifier, using Reuters dataset, achieves ~62% accuracy
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# Naive Bayes document classifier, using Reuters dataset
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# using Porter stemming, stopword elimination and a few custom techniques.
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# The dataset is imbalanced which causes the classifier to be biased towards some classes (earn, acq, ...)
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# to workaround the imbalanced dataset problem, there is a --top-ten option which classifies only top 10 popular
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