This flexibility can, in theory, enable them to over-fit the training data more than a single model would, but in practice, some ensemble techniques (especially bagging) tend to reduce problems related to over-fitting of the training data.
理论上，这种灵活性使他们能够比单一模型更多地过拟合训练数据，但在实践中，一些集成算法（如Bagging算法）倾向于减少对训练数据过拟合相关的问题。