On Mon, 16 Feb 2015, Rodica Coderie via R-help wrote:
Hello,
I've created a ctree model called fit using 15 input variables for a factor
predicted variable Response (YES/NO).
When I run the following :
table(predict(fit2), training_data$response)
I get the following result:
NO YES
NO 48694 480
YES 0 0
It appears that the NO responses are predicted with 100% accuracy and
the YES response are predicted with 0% accuracy.
Why is this happening? It's because of my data or it's something in
ctree algorithm?
Your data has less than 1% of YES observations and I would guess that the
tree cannot separate these in a way such that majority voting gives a YES
prediction. You might consider a different cutoff (other than 50%) or
downsampling the NO observations.
Thanks!
Rodica
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