How do I combine a few weak learners into a strong classifier? I know the formula, but the problem is that in every paper about AdaBoost that I've read there are only formulas without any example. I mean - I got weak learners and their weights, so I can do what the formula tells me to do (multiply learner by its weight and add another one multiplied by its weight and another one, etc.) but how exactly do I do that? My weak learners are decision stumps. They got attribute and threshold, so what do I multiply?