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AdaBoost, is short for adaptive boosting. Boosting can give good results even if the base classifiers have a performance that is only slightly better than random, and hence sometimes the base classifiers are known as weak learners. Originally designed for solving classification problems, boosting can also be extended to regression.

1. mathjax 不能可以使用bold利用textbf代替

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