Dear Jeff,
Thanks for the rpely. I will definitely have a look at the wiki
link.
THanking you,
Yours sincerely,
AKSHAY M KULKARNI
________________________________
From: Jeff Newmiller <jdnew...@dcn.davis.ca.us>
Sent: Wednesday, April 19, 2023 8:10 PM
To: r-help@r-project.org <r-help@r-project.org>; akshay kulkarni
<akshay...@hotmail.com>; R help Mailing list <r-help@r-project.org>
Subject: Re: [R] AIc and BIC in caret...
This is a statistical question, not actually a question about R, and thus not
on topic. Using too many variables leads to models that tend to have large
errors on new data (not from your fitting sample). [1]
[1] https://en.m.wikipedia.org/wiki/Overfitting
On April 19, 2023 6:50:44 AM PDT, akshay kulkarni <akshay...@hotmail.com> wrote:
>Dear members,
> I am doing some modelling with caret package in R. I
> do suppose that the package doesn't consider AIC and BIC for model selection,
> right? They penalise the number of prameters, but I am ready to spend a
> little more time and a little more money to run the model with more number of
> parameters, but with a very less SSE.
>
>I know that AIC and BIC are not meant for non parametric ML models, but just
>want to confirm....
>
>Thanking you,
>Yours sincerely,
>AKSHAY M KULKARNI
>
> [[alternative HTML version deleted]]
>
>______________________________________________
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--
Sent from my phone. Please excuse my brevity.
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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