In this project various classifiers are been used followed by accuracy,
They are:-
(1) Logistic Regression: 95.33%
(2) Multinomial Naive Bayes: 97.60%
(3) Decision Tree Classifier: 95.81%
(4) Support Vector Machine: 97.12%
(5) Random FOrest Classifier: 97.54%
The output will be classified as a Spam or Ham.