摘要
当今时代背景下,人工智能算法的应用已经在各行各业如火如荼的展开,而如何较为准确的将已有数据集分类一直以来都是人工智能领域的一个重要研究方向,其具有极高的应用价值。本文首先对Adult数据集进行预处理,生成了一个更具有通用性的分类数据集;然后探究了朴素贝叶斯算法的工作原理和应用价值;最后自己实现了一个朴素贝叶斯分类器对预处理后的Adult数据集进行分类处理,并将此分类器用于预测个人的收入水平。
Under the background of the current era,the application of artificial intelligence algorithm has been in full swing in all walks of life,and how to classify the existing data sets more accurately has been an important research direction in the field of artificial intelligence,which has a very high application value.In this paper,the Adult data set is preprocessed to generate a more universal classification data set.Then the working principle and application value of naive bayesian algorithm are discussed.Finally,I implemented a naive bayesian classifier to classify the Adult data set and used it to predict an individual's income level.
作者
张源
ZHANG Yuan(University of international business and economics,Beijing 100105,China)
