说明：  朴素贝叶斯模型是一组非常快速和简单的分类算法，通常适用于非常高维的数据...，
(Naive Bayes models are a group of extremely fast and simple classification algorithms that are often suitable for very high-dimensional datasets. Because they are so fast and have so few tunable parameters, they end up being very useful as a quick-and-dirty baseline for a classification problem.)