Classifying newspapers into different categories, following Skikit Learn tutorial: https://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html
categories = ['alt.atheism', 'soc.religion.christian',
'comp.graphics', 'sci.med']
Trained using tf-idf, where tf-idf was trained via count vectorizer
vectorizer => transformer => classifier Arguments are:
- tf-idf
- count vectorizer
- Multinomial Bayes
Accuracy = 83.5%
Accuracy = 91.0%