That is a good question. Typically accuracy for something like this is "what percentage of the test data does the model accurately predict". In this example, th

That is a good question. Typically accuracy for something like this is "what percentage of the test data does the model accurately predict". In this example, the model is not punished for "not rating" text, and that is captured in the "percent rated" column. This example only demonstrates two classes of sentiment, positive & negative. The main purpose is to demonstrate techniques to gain improvements over traditional/common Bayesian methods.