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I never know exactly what they're referring to when they talk about "accuracy" in these kinds of papers: what was the precision and recall across the various ca
by lazzlazzlazz 10y ago
I never know exactly what they're referring to when they talk about "accuracy" in these kinds of papers: what was the precision and recall across the various categories (sentiments?) into which we are classifying the data?
- KennyCason 10y agoThat 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.