LFD Book Forum

LFD Book Forum (http://book.caltech.edu/bookforum/index.php)
-   Homework 8 (http://book.caltech.edu/bookforum/forumdisplay.php?f=137)
-   -   *ANSWER* hw8 q7 (http://book.caltech.edu/bookforum/showthread.php?t=4355)

a.sanyal902 06-19-2013 01:47 PM

*ANSWER* hw8 q7
 
I've tried several runs in this question. Howver, I still get the lowest cross-validation error for C=0.1, rather than 0.001. Their errors are pretty close though. I did 100 runs for each of the C's and then took an average value of the errors.
I'd like to know what everyone else has done in the question and whether they got results similar to mine. Would it make a difference if I compared the errors after 1 run with each of the C's and then, finally selected the C which gets selected most often?

P.S I randomized the seed of svm-train.c, as suggested here.

Degutis 11-19-2018 12:53 AM

Re: *ANSWER* hw8 q7
 
Hello,

What is the answer? I've tried various methods and nothing works. I started the course on Class Central and there are no algorithms available for Homework 8.

Renee Degutis

Degutis 11-19-2018 12:56 AM

Re: *ANSWER* hw8 q7
 
Quote:

Originally Posted by a.sanyal902 (Post 11158)
I've tried several runs in this question. Howver, I still get the lowest cross-validation error for C=0.1, rather than 0.001. Their errors are pretty close though. I did 100 runs for each of the C's and then took an average value of the errors.
I'd like to know what everyone else has done in the question and whether they got results similar to mine. Would it make a difference if I compared the errors after 1 run with each of the C's and then, finally selected the C which gets selected most often?

P.S I randomized the seed of svm-train.c, as suggested here.

I tried to compare the errors after 1 run and nothing worked. Perhaps, you have found the solution already. Would appreciate any ideas.


All times are GMT -7. The time now is 02:47 PM.

Powered by vBulletin® Version 3.8.3
Copyright ©2000 - 2020, 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.