Community & Support
Learn
Marketplace
Discussions
Categories
Discussions
- General
- Platform
- Academic
- Partner
- Regional
User Groups
Documentation
Events
Altair Exchange
- Share or Download Projects
Resources
Employee Resources
- This tab can be seen by employees only. Please do not share these resources externally.
Groups
- Join a User Group
Support

Altair RISE

A program to recognize and reward our most engaged community members

Nominate Yourself Now!

Home
Discussions
Community Q&A

Leave-one-out Cross-validation

Hi Guys,
I just want to know if anybody has some experience with the "Leave-one-out Cross-validation" and could tell me which operator to use or how to build it up otherwise ???. Here is a link to the topic on wikipedia:
http://en.wikipedia.org/wiki/Cross-validation_(statistics)#Leave-one-out_cross-validation

Thanks for the help in advance
Robert

Find more posts tagged with

AI Studio

Cross Validation

Accepted answers

All comments

haddock

Hi there,

The existing X-Validation operator has 'leave one out' as an option, it is just a special case where X= the number of examples, and the test set length =1.

Good luck.

Quick Links

All Categories
Recent Discussions
Activity
Unanswered
日本語 (Japanese)
한국어(Korean)
Groups