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Can 10-fold cross-validation be implemented in Rapidminer Automodel?
Can 10-fold cross-validation be implemented in Rapidminer Automodel? By default, it is implementing 2-fold cross-validation. I need to do 10-fold cross-validation for a research work.
Thanking you in Advance.
Regards,
Suraj
Thanking you in Advance.
Regards,
Suraj
Tagged:
2
Answers
Actually, auto model doesn't implement any cross validation. It does 60:40 (train :test) split validation with the 40% test data divided into 7 sets and tested independently. The performance of these 7 sets of test data is aggregated.
You need to open the automodel process and manually change it to cross validation. It is doable but a bit complex as you need to shift lot of operators into cross validation and delete some. You can try it by opening the process
Varun
https://www.varunmandalapu.com/
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Hello
You can easily use cross validation operator and make your process in studio. Also you can use all algorithms that you see in Auto model. It is easier than adding cross validation to Auto model
Regards
mbs
Lindon Ventures
Data Science Consulting from Certified RapidMiner Experts
why isnt the default CV? Or can someone please post a helpful tutorial to change split validation to CV?
Edit** also this (https://community.rapidminer.com/discussion/55112/cross-validation-and-its-outputs-in-rm-studio) was a great read but was not intended for implementing Cv in auto model.
Thank in advance.
https://community.rapidminer.com/discussion/59982/is-cross-validation-automatically-implemented-in-auto-model#latest