that's a very serious dedication to bootstrap :)
On Wed, Mar 1, 2017 at 10:13 PM, Sebastian Raschka
wrote:
> Glad to hear that it was at least a little bit helpful :)
> (haha, Efron and Tibshirani even have a whole ~500 pg book on bootstrap if
> you have the time and patience … :) https://www.cr
Glad to hear that it was at least a little bit helpful :)
(haha, Efron and Tibshirani even have a whole ~500 pg book on bootstrap if you
have the time and patience … :)
https://www.crcpress.com/An-Introduction-to-the-Bootstrap/Efron-Tibshirani/p/book/9780412042317)
> On Mar 1, 2017, at 10:07 PM
No worries, Sebastian :) .. thank you very much for your help.. I learned a
lot of new things from your site today.. it led me to some relevant
chapters in "The Elements of Statistical Learning", which then led me to
chapter 8 page 264 about non-parametric & parametric bootstrap..
I think I will j
Hi, Raga,
> 1. Just to make sure I understand correctly, using the .632+ bootstrap
> method, the ACC_lower and ACC_upper are the lower and higher percentile of
> the ACC_h,i distribution?
phew, I am actually not sure anymore … I think it’s the percentile of the
ACC_boot distribution, similar t
Hi, Raga,
> 1. Just to make sure I understand correctly, using the .632+ bootstrap
> method, the ACC_lower and ACC_upper are the lower and higher percentile of
> the ACC_h,i distribution?
phew, I am actually not sure anymore … I think it’s the percentile of the
ACC_boot distribution, similar t
Thanks a lot, Sebastian! Very nicely written.
I have a few follow-up questions:
1. Just to make sure I understand correctly, using the .632+ bootstrap
method, the ACC_lower and ACC_upper are the lower and higher percentile of
the ACC_h,i distribution?
2. For regression algorithms, is there a recom
Hi, Raga,
I have a short section on this here
(https://sebastianraschka.com/blog/2016/model-evaluation-selection-part2.html#the-bootstrap-method-and-empirical-confidence-intervals)
if it helps.
Best,
Sebastian
> On Mar 1, 2017, at 3:07 PM, Raga Markely wrote:
>
> Hi everyone,
>
> I wonder if
