Impute Missing Values
I am handling Missing Values.
Does this sound reasonable to you? Any thoughts?
I set the parameters in the operator Impute Missing Values as follows:
order: information gain
Because I want to have the most information based imputation from the dataset. So the ones with least information gain I do first and the ones with a lot of missing at the end.
So I am most convinced to have approached the best when the uncertainty is the most.