The PCa-Logistic Regression google document file is used to determine whether a headline will indicate if the article is from a fake or real website. I have previously conducted similar classification tests using the Naive Bayes and K-Nearest Neighbour approach. In this document I have determined whether an article is real or fake by using the logistic regression algorithm. Furthermore, we will be using the Logistic regression algorithm in combination with:

 an L1 Penalty 

an L2 Penalty
no Penalty
a 100-Principal Component analysis reduction  
a 100-Principal Component analysis reduction  
 Cross Validation with:
         an L1 Penalty
         an L2 Penalty
        no Penalty

The F1, Precision, and Recall scores are shown on all tests above.

Just click run-all-cells to run the whole document, no configuration needed if the document is run in google collab.