Saving version of database where data is divided 58-42 nonpolitical to political tweets.

This data ratio got the best performance with the Bernoulli Naive Bayes algorithm, which got 87% precision and 88% recall.
Deleted extra 20,000 political tweets from database, for a ratio of 72% nonpolitical to 28% political tweets.

Logistic regression gets 65% precision, 91% recall on this dataset when class weight is "auto." Otherwise, Bernoulli and LR perform about the same on this ratio of data. Underpredicts political tweets in my small sample.