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稳定性是评估分类算法的一个重要方面.本文介绍了贝叶斯分类方法以及两种度量算法稳定性的方法,实验研究了几种流行的分类算法的稳定性.研究的目的是确定树增强的朴素贝叶斯网络分类方法的稳定性.实验结果表明,树增强的朴素贝叶斯网络分类方法是稳定的.
Stability is an important aspect to evaluate the classification algorithm.This paper introduces the methods of Bayesian classification and the stability of two kinds of metric algorithms, and experimentally studies the stability of several popular classification algorithms.The purpose of this study is to determine the tree-enhanced The stability of naive Bayesian network classification method. Experimental results show that the tree-enhanced naive Bayesian network classification method is stable.