I used logistic regression to get some probabilities of y, I did the following:
fit.model <- glm (y~ x1 +x2 , data = mydata, family=binomial)
pred_model<- plogis(predict(fit.model, mydata))
Now, I want to classify the probabilities using a cut off value of 0.5 to yes or no
I tried this, but doesn't work probably
class <- ifelse(pred_model>0.5, "yes" , "no" )
Any suggestions?
This should work :
class <- factor(ifelse(pred_model>0.5, "yes", "no"), c("yes", "no"))