说明：  分类算法是统计学分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美，该算法能运用到大型数据库中，且方法简单、分类准确率高、速度快。
(The classification algorithm is the statistical classification, it is a knowledge of probability and statistics classification algorithm. On many occasions, the naive Bayes classification algorithms (Naï ve Bayes, NB) can be comparable with the decision tree and neural network classification algorithm, the algorithm can be applied to large databases, and the method is simple, accurate classification rate, speed.)