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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. Can you explain it to me with an example and tell me if I have to create my own weak classifiers or I’m suppoused to use some kind of algorithm?
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:
https://user.ceng.metu.edu.tr/~tcan/ceng734_f1112/Schedule/adaboost.pdf