def getBayesAccuracy(splitRatio=0.9):
featureset = []
for text in getSpamContent():
featureset.append((featuresForText(text), SPAM))
for text in getHamContent():
featureset.append((featuresForText(text), NOSPAM))
shuffle(featureset)
trainset, devset = splitByRatio(featureset, splitRatio)
classifier = NaiveBayesClassifier.train(trainset)
print classifier.show_most_informative_features(10)
return nltk_classify.accuracy(classifier, devset)
def testGetSpamContent(self):
content = getSpamContent()
self.assertEqual(len(content), 1732)
self.assertTrue(content[234])