I am trying to implement an application that uses AdaBoost algorithm. I know that AdaBoost uses set of weak classifiers, but I don\'t know what these weak classifiers are. C
When I used AdaBoost, my weak classifiers were basically thresholds for each data attribute. Those thresholds need to have a performance of more than 50%, if not it would be totally random.
Here is a good presentation about Adaboost and how to calculate those weak classifiers: http://www.cse.cuhk.edu.hk/~lyu/seminar/07spring/Hongbo.ppt