Email-author-classifier

Predicts the author of an email as Chris (label 0) or Sara (label 1) on the basis of contents of the email. The dataset is tested on different classification algorithms:

1. Naive Bayes Classifier (0.9732 accuracy)
2. Support Vector Machines (SVM) Classifier (0.991 accuracy)
3. Decision Tree Classifier (0.979)

SVM classifier performs best in predicting email author as Chris or Sara with an accuracy of 0.991 or 99.1%.