LFD Book Forum  

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

Reply
 
Thread Tools Display Modes
  #1  
Old 10-21-2012, 12:01 PM
tom_bryant tom_bryant is offline
Junior Member
 
Join Date: Sep 2012
Posts: 1
Default The expected validation error

The expected validation error of a classification problem should be a number, right? What is the meaning of calculating the expectation of a constant number with respect to the validation set? As far as I can see, it will be definitely be the same constant number.
Reply With Quote
  #2  
Old 10-21-2012, 01:41 PM
magdon's Avatar
magdon magdon is offline
RPI
 
Join Date: Aug 2009
Location: Troy, NY, USA.
Posts: 595
Default Re: The expected validation error

The validation error is a number that depends on the validation data. You can take the expectation of this number with respect to the validation data. That is the expected validation error.


Quote:
Originally Posted by tom_bryant View Post
The expected validation error of a classification problem should be a number, right? What is the meaning of calculating the expectation of a constant number with respect to the validation set? As far as I can see, it will be definitely be the same constant number.
__________________
Have faith in probability
Reply With Quote
Reply

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 07:30 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.