Hi all,
As you can see from below, the result is strange...
I would imagined that the bb result should be much higher and close to 1,
any way to improve the fit?
Any other classification methods?
Thank you!
data=data.frame(y=rep(c(0, 1), times=100), x=1:200)
aa=glm(y~x, data=data, family=binomial(link="logit"))
newdata=data.frame(x=6, y=100)
bb=predict(aa, newdata=newdata, type="response")
bb
> bb
1
0.4929125
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