spam-classification--matlab

  机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)

spambase
........\LDA.asv,1262,2013-11-24
........\LDA.m,1271,2013-11-24
........\naiveBayes.m,1189,2013-11-24
........\naiveBayes_gaussian.m,1619,2013-11-24
........\QDA.asv,979,2013-11-22
........\QDA.m,1305,2013-11-24
........\spambase.data,702942,1999-08-16
........\spambase.DOCUMENTATION,6429,1999-08-17
........\spambase.names,3566,1999-08-17
........\spamdetect.m,2280,2013-11-24
垃圾邮件分类报告.docx,18200,2013-12-10