Altair RISE
A program to recognize and reward our most engaged community members
Nominate Yourself Now!
Home
Discussions
Community Q&A
Akaike Information Criterion
MuehliMan
Hi all,
if it possible to calculate the Akaike Information Criterion or even better the Schwarz Infoprmation Criterion by some Performance Operators?
I would like to use it for the Optimize Selection subprocess.
Best,
Markus
Find more posts tagged with
AI Studio
Accepted answers
All comments
land
Hi,
the AIC isn't available in RapidMiner and that has a reason: AIC is only a heuristic to estimate a test error based upon the training error. It is much more valid to estimate this test error by applying a cross-validation.
If you want to add such an criterion, how would you calculate the number of parameters a model like the SVM or KNN has? I don't know if this is always determined.
Greetings,
Sebastian
Quick Links
All Categories
Recent Discussions
Activity
Unanswered
日本語 (Japanese)
한국어(Korean)
Groups