LFD Book Forum  

Go Back   LFD Book Forum > Book Feedback - Learning From Data > Chapter 4 - Overfitting

 
 
Thread Tools Display Modes
Prev Previous Post   Next Post Next
  #1  
Old 02-07-2015, 12:33 PM
zhenlanwang zhenlanwang is offline
Junior Member
 
Join Date: Jan 2015
Posts: 1
Default question about cross validation

First of all, I would like to thank you for setting up this website for reader like myself.

For "normal" validation, the aim is to estimate out of sample error for a given hypothesis, which depends on D-train.

For cross validation, the aim seems to have changed to estimate out of sample error for averaged hypothesis each trained with N-1 data points. Essentially, the estimates is about the expectation of out of sample error over all N-1 training set.

My question is how to resolve the inconsistency? Thank you.

Zhenlan,
Reply With Quote
 

Thread Tools
Display Modes

Posting Rules
You may not post new threads
You may not post replies
You may not post attachments
You may not edit your posts

BB code is On
Smilies are On
[IMG] code is On
HTML code is Off

Forum Jump


All times are GMT -7. The time now is 04:18 PM.


Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2019, Jelsoft Enterprises Ltd.
The contents of this forum are to be used ONLY by readers of the Learning From Data book by Yaser S. Abu-Mostafa, Malik Magdon-Ismail, and Hsuan-Tien Lin, and participants in the Learning From Data MOOC by Yaser S. Abu-Mostafa. No part of these contents is to be communicated or made accessible to ANY other person or entity.