基于数据挖掘的SPECTF heart数据集分类验证研究

摘要

With the development of society,the level of human life becomes higher and higher every day,and a variety of diseases follow such as,heart disease.This paper studies and tests the accuracy of the diagnosis of new cardiac diagnostic apparatus.To improve the diagnostic accuracy for patients of heart disease,the related data knowledge and libsvm and python software are used to accurately classify and verify the data in the heart SPECTF data set in UCI database.%随着社会的发展,人类生活水平不断攀升,随之增加的还有各种各样的疾病,心脏病对现代人来说,已经是司空见惯.研究并检测新的心脏诊断仪器对患者诊断结果的准确率.以提高诊断的准确率,为心脏病的诊断带来福音.通过利用数据挖掘的相关知识,使用libsvm和python软件主要对UCI数据库中的SPECTF heart数据集进行数据分类和精确度验证.