How to design for predicting new dataset after modeling a random forest?
I've made a random forest model using train set, test set, random forest, apply model, and performance operators. And now I want to predict empty labels with new dataset('read excel(3) above). How can I get to?
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Hi @byounghyo,
You can score a new dataset like that :
In attached file, the process.
One more tip : If you are new with RapidMiner, you can go to this link and see pedagogic videos about this software :
https://academy.rapidminer.com/
Hope this will help you,
Regards,
Lionel
You can score a new dataset like that :
In attached file, the process.
One more tip : If you are new with RapidMiner, you can go to this link and see pedagogic videos about this software :
https://academy.rapidminer.com/
Hope this will help you,
Regards,
Lionel
You can score a new dataset like that :
In attached file, the process.
One more tip : If you are new with RapidMiner, you can go to this link and see pedagogic videos about this software :
https://academy.rapidminer.com/
Hope this will help you,
Regards,
Lionel