nltk.PositiveNaiveBayesClassifier.most_informative_features¶

PositiveNaiveBayesClassifier.most_informative_features(n=100)¶

Return a list of the ‘most informative’ features used by this classifier. For the purpose of this function, the informativeness of a feature (fname,fval) is equal to the highest value of P(fname=fval|label), for any label, divided by the lowest value of P(fname=fval|label), for any label:

max[ P(fname=fval|label1) / P(fname=fval|label2) ]