CMPS242 Final Project - A Comparison of Naive Bayes and Boosting

My final project was to implement and compare a number of Naive Bayes and boosting algorithms. For this task I chose to implement two Naive Bayes algorithms that are able to make use of binary attributes, the multivariate Naive Bayes and the multinomial Naive Bayes with binary attributes. For the boosting side of the algorithms I chose to implement AdaBoost, and its close bother AdaBoost*. Both of these algorithms were chosen for their simplicity yet amazingly accurate results; in fact, the IEEE International Conference on Data Mining (ICDM) listed both AdaBoost and Naive Bayes as top ten algorithms in data mining [3].