One class label learning
Just starting out using Rapid Miner and I've hit a snag which I can't seem to pass.
Basically, I have a data set which contains all the members who churned in the past year.
I then have a seperate dataset which contains all current members and we want to look at whether any of these have the characteristics of the churners from previous years and predict whether they will renew or churn. However, I am currently running into a problem as I only have the one label in the first data sheet which is churned, which then throws up a one class label error.
Any help would be greatly appreciated.