August 18, 2022 at 11:06 pm
Hi all,
It is really a big doubt.
First I made a base model and then I did a dimensionality reduction process. After that I made a model with reduction features.
Then, I was planning to do a hyperparameter tuning.
Question is what values i could use in the tuning process like 100% of the data or feature selection data?
The second Question is after completing the tuning processā¦.we have to create the model right, which date is valid to use in the model? (100% or feature selection data)
Final Question, for the classification process we normally do a SMOTE right? the smote data is valid to use for all models or nor (if not, for which is valid to use)
thankĀ you!!!!
August 19, 2022 at 11:10 pm
Thanks for posting your issue and hopefully someone will answer soon.
This is an automated bump to increase visibility of your question.
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