Experiments on Spam Detection with Boosting, Svm and Naive Bayes

For this project, I implement 3 popular text classification algorithms on spam detection, namely AdaBoost, Support Vector Machines and Naive Bayes. The performance are evaluated on some testing datasets. All experiments are done in Matlab. The experimental result is, all 3 algorithms have a satisfactory performance on spam detection. In term of accuracy, Adaboost has the best error bound. On the other hand Naive Bayes and SVM are superior on training and classification speed. In term of overall performance, Naive Bayes is an ideal algorithm for spam detection.