Example and Summary of Classifiers with Spam Email Data in R

The increasing volume of unsolicited bulk e-mail (also known as spam) has generated a need for reliable anti-spam filters. Machine learning techniques are frequently employed to automatically filter those spam e-mails quite successfully (to some degree).  The dataset is from the UCI dataset repository https://archive.ics.uci.edu/ml/machine-learning-databases/spambase/) We need to build binary classifiers to classify emails as… Continue reading Example and Summary of Classifiers with Spam Email Data in R