The Altair Community is migrating to a new platform to provide a better experience for you. In preparation for the migration, the Altair Community is on read-only mode from October 28 - November 6, 2024. Technical support via cases will continue to work as is. For any urgent requests from Students/Faculty members, please submit the form linked here
Leave-one-out Cross-validation
CaptainChaos
Member Posts: 17 
Contributor II
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
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
Tagged:
0
Answers
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.