catboost classifier for class imbalance?
For scale_pos_weight you would use negative class // positive class. in your case it would be 11 (I prefer to use whole numbers).
For class weight you would provide a tuple of the class imbalance. in your case it would be: class_weights = (1, 11)
class_weights is more flexible so you could define it for multi-class targets. for example if you have 4 classes you can set it: class_weights = (0.5,1,5,25)
and you need to use only one of the parameters. for a binary classification problem I would stick with scale_pos_weight.
I am using catboost classifier for my binary classification model where I have a highly imbalance dataset of 0 -> 115000 & 1 -> 10000.
Can someone please guide me in how to use the following parameters in catboostclassifier:
1. class_weights 
2. scale_pos_weight ? 
From the documentation, I am under the impression that I can use
Ratio of sum of negative class by sum of positive class i.e. 115000/10000=11.5 as the input for scale_pos_weight but I am not sure .
Please let me know what exact values to use for these two parameters and method to derive that value?
Thanks