In what order can i use replace missing value and normalization?
Hello!
I'm trying to build a classification model with RF and I have a data set with many missing values. I tried to use RF without replacing missing values but the performance is not good. For this, I'd like to replace missing values with average. What is the better order to insert the operator? Before or after Normalization (z score) of data?
Thanks

Thanks

0
Best Answer
-
ceaperez Member Posts: 455
Unicorn
Hi @a_polito,
Please check this thread:
"[SOLVED] Normalise before or after Replace Missing Values?" — RapidMiner Community
Best1