Decision-tree-for-authorship-prediction

read the final report

General workflow of project is :

1. train the classifier
2. save the classifier in text file
3. recreate the tree from text file
4. predict on test data

take a 250 paragraph from Arthur Conan Doyle or Herman Melville or Jane Austen and save in it in a .txt file and pass it as a command line argument to the lab2.py file