我所有关联规则的提升值均为1。我在做什么不正确?

我正在执行关联规则,并且所有支持置信度Coververage和lift的输出均为1。我做错了什么?

数据集:https://github.com/Tesla-Republic/cosmetic/blob/master/Cosmetics.csv

Cosmetics_df <- read_csv("attached_file")
head(Cosmetics_df)
Cosmetics_df <- Cosmetics_df[,c(-1)]
summary(Cosmetics_df)
Cosmetics_trans <- as(Cosmetics_df,"transactions")
inspect(Cosmetics_trans)
rule1 <- apriori(Cosmetics_trans,parameter = list(supp = 0.2,conf = 0.5,target = "rules"))

inspect(head(sort(rule1,by = "lift",decreasing = T),5))

这是输出:

    lhs    rhs                 support confidence coverage lift count
[1] {}  => {Bag=[0,1]}         1       1          1        1    1000 
[2] {}  => {Blush=[0,1]}       1       1          1        1    1000 
[3] {}  => {Nail Polish=[0,1]} 1       1          1        1    1000 
[4] {}  => {brushes=[0,1]}     1       1          1        1    1000 
[5] {}  => {Concealer=[0,1]}   1       1          1        1    1000 
iCMS 回答:我所有关联规则的提升值均为1。我在做什么不正确?

暂时没有好的解决方案,如果你有好的解决方案,请发邮件至:iooj@foxmail.com
本文链接:https://www.f2er.com/1652989.html

大家都在问