Email-author-prediction

Given the contents of an email predict whether the email's author is Chris(Label 0) or Sara(Label 1).

Five classifier algorithms are used for predictions:

1. Naive Bayes Classifier
2. Support Vector Machines (SVM) Classifier
3. Decision Tree Classifier
4. AdaBoost
5. Random forest

Algorithm	Training time(s)	Prediction time(s)	Accuracy
Naive Bayes Classifier	1.745	0.188	0.973265073948
Support Vector Machines Classifier	129.289	12.482	0.990898748578
Decision Tree Classifier	16.955	0.032	0.976678043231
AdaBoost Classifier	96.273	0.342	0.956200227531
Random Forest Classifier	21.025	0.146	0.997155858931

Random Forest Classifier performs best in predicting email author as Chris or Sara with an accuracy of 0.997 or 99.7%.