I know that decision stumps are used as basic classifiers in boosting, but what other basic classifiers can be used? Can we use any classifier? SVMs are pretty accurate, and boosting, well, boosts the algorithm. So why not use SVMs as the basic binary classifier and boost the hell out of it with AdaBoost? What’s stopping us?

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PS: If this is a beginner question, tell me to delete it.