Implementation of perceptron training algorithm using the perceptron training rule to classify if an email is spam

Uses the data set found in Metsis, Androutsopoulos, Paliouras paper “Spam Filtering with Naive Bayes - Which Naive Bayes?”

Link to data set here : http://nlp.cs.aueb.gr/software.html under NaiveBayesSpamDetector

Using python 3.6+

python main.py training-set test-set

training-set is the name of the training set directory

test-set is the name of the test set directory