Hi, I have a dataset with too few churn iterations (0.9 are non-churners) so I want to split the dataset into train and test set but I would like to have higher percentage of churner in the train test. I tried to use the split recipe but I can't manage to get what I want (either I get the same representation or churners in the train set or a I get only churners)
Thanks for the advice ! I finally found an option to rebalance the sample before training the model. However, I don't know how much percents of churner I have in my data sample. Is there a way to know it ? To know if I need to retrain my model or not.