Adaboost是一种迭代算法，其核心思想是针对同一个训练集训练不同的分类器(弱分类器)，然后把这些弱分类器集合起来，构成一个更强的最终分类器(强分类器)。-Adaboost is an iterative algorithm, its core idea is different classifications for the same training set (weak classifiers), then these weak classifiers together to form a stronger final classifier (strong classifier).