LFD Book Forum  

Go Back   LFD Book Forum > Course Discussions > Online LFD course > The Final

Reply
 
Thread Tools Display Modes
  #1  
Old 09-25-2015, 05:50 PM
zuodongz zuodongz is offline
Junior Member
 
Join Date: Sep 2015
Posts: 7
Default Q13-15 rbf vsm eout=0?

Q13-15 EOUT from rbf support vector machine is always 0.and this machine can never be beaten by k mean rbf .... what is the mistake i probably made?
Reply With Quote
  #2  
Old 09-25-2015, 10:08 PM
yaser's Avatar
yaser yaser is offline
Caltech
 
Join Date: Aug 2009
Location: Pasadena, California, USA
Posts: 1,476
Default Re: Q13-15 rbf vsm eout=0?

Quote:
Originally Posted by zuodongz View Post
Q13-15 EOUT from rbf support vector machine is always 0.and this machine can never be beaten by k mean rbf .... what is the mistake i probably made?
Why is E_{\rm out} always zero?

BTW, if your reply would reveal answers (or excluded answers) of a question, please start an *ANSWER* thread for that (see above announcement).
__________________
Where everyone thinks alike, no one thinks very much
Reply With Quote
  #3  
Old 09-26-2015, 04:21 PM
zuodongz zuodongz is offline
Junior Member
 
Join Date: Sep 2015
Posts: 7
Wink Re: Q13-15 rbf vsm eout=0?

Quote:
Originally Posted by yaser View Post
Why is E_{\rm out} always zero?

BTW, if your reply would reveal answers (or excluded answers) of a question, please start an *ANSWER* thread for that (see above announcement).
Hi professor
Sorry for the troubles i made... and thanks for your quick reply
The Eout I achieved from RBF kernel vector support machine is always 0. Is correct ?
you gave excellent lectures! What book would you recommend for further studying on machine learning , or machine learning in financial field?
Reply With Quote
  #4  
Old 09-26-2015, 10:06 PM
yaser's Avatar
yaser yaser is offline
Caltech
 
Join Date: Aug 2009
Location: Pasadena, California, USA
Posts: 1,476
Default Re: Q13-15 rbf vsm eout=0?

Quote:
Originally Posted by zuodongz View Post
The Eout I achieved from RBF kernel vector support machine is always 0. Is correct ?
Are you estimating E_{\rm out} based on a fresh sample of points that were not involved in training? If so, is the sample you are using big enough to estimate a small, but non-zero value?

Quote:
you gave excellent lectures! What book would you recommend for further studying on machine learning , or machine learning in financial field?
Thank you. After you are done with the course and the e-chapters on this forum, you are ready to start trying what you have learned on real data, and ready to read current papers on Machine Learning to update your techniques.
__________________
Where everyone thinks alike, no one thinks very much
Reply With Quote
  #5  
Old 09-27-2015, 03:17 PM
zuodongz zuodongz is offline
Junior Member
 
Join Date: Sep 2015
Posts: 7
Default Re: Q13-15 rbf vsm eout=0?

Quote:
Originally Posted by yaser View Post
Are you estimating E_{\rm out} based on a fresh sample of points that were not involved in training? If so, is the sample you are using big enough to estimate a small, but non-zero value?


Thank you. After you are done with the course and the e-chapters on this forum, you are ready to start trying what you have learned on real data, and ready to read current papers on Machine Learning to update your techniques.
Hi professor
The training data and testing data are totally separate. I used 100 training data to train this rbf vector support machine ,and randomly generate 100 new points for testing. (no matter how many times i randomly generate 100 points , Eout is always 0)
Reply With Quote
  #6  
Old 09-27-2015, 09:14 PM
yaser's Avatar
yaser yaser is offline
Caltech
 
Join Date: Aug 2009
Location: Pasadena, California, USA
Posts: 1,476
Default Re: Q13-15 rbf vsm eout=0?

Quote:
Originally Posted by zuodongz View Post
Hi professor
The training data and testing data are totally separate. I used 100 training data to train this rbf vector support machine ,and randomly generate 100 new points for testing. (no matter how many times i randomly generate 100 points , Eout is always 0)
Try 10,000 points for testing. Since you say that the error is zero no matter how many times you generated new 100 points, you may also want to check the seeding of the random number generator to make sure that each 100 points are really different from the previous set.

A zero out-of-sample error means that the target boundary was perfectly replicated, an illogical event when we train with only 100 points.
__________________
Where everyone thinks alike, no one thinks very much
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 07:26 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.