How to handle error on Example Set label value in Random Forest

Srp2023

Hello I am developing model using Radom Forest. I am very new to this. The error I have says "The learning scheme random forest does not have sufficient capabilities for handling an example set with only one label value."
I do have only one label value though there are 7 other attributes in my 6000 example data set. I believe this is allowed. What could be the error.

jwpfau

Hi,

the problem is that all your examples have the same label value, i.e. "yes". 
A regular Random Forest can't handle that, there are some approaches of generating artificial outliers beforehand.

I.e. in Désir, C., Bernard, S., Petitjean, C., Heutte, L. (2012). A New Random Forest Method for One-Class Classification. In: , et al. Structural, Syntactic, and Statistical Pattern Recognition. SSPR /SPR 2012. Lecture Notes in Computer Science, vol 7626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34166-3_31

You could try a one-class SVM instead or try to get data that contains outliers.

Greetings,
Jonas