Hello!
I'm trying to make a performance check for my regression model.
Unfortunatelly, when I run "prediction"
pred = prediction(pred, data$acceptance)
I get an error
Error: 'predictions' contains NA.
My data had a lot of NAs and I did not want to remove all of them to keep a good sampling size.
And everything was fine with all the analisys and regression.
But now at one of the final steps I'm stuck
Is there any other one to complete prediction with missing data?
Or shall I start over again?
To remove all NAs from data
To perform regression
To do predictions?
I tried to do it like that:
data.tmp <- data
pred <- predict(model, data.tmp, na.action=na.pass, type="response")
data.tmp <- data.tmp %>% filter(!is.na(pred))
But then when I run
pred = prediction(pred, data.tmp$acceptance)
I get the same error
Error: 'predictions' contains NA.
Thank you!