I should decide on the contamination value while using the Isolation Forests algorithm (I am using the sklearn implementation). Otherwise, sklearn's default is 0.1.
I am worried if I decide for this parameter with experimenting on my current dataset, it will differ by time as I would be receiving new data points very soon.
How can I know that this parameter better than any other, just by experimenting it with outlier removal?
Thanks.