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In what order can i use replace missing value and normalization?

a_polito

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

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Accepted answers

Caperez

Hi @a_polito,

Please check this thread:
"[SOLVED] Normalise before or after Replace Missing Values?" — RapidMiner Community

Best

All comments

Caperez

Hi @a_polito,

Please check this thread:
"[SOLVED] Normalise before or after Replace Missing Values?" — RapidMiner Community

Best