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Question: (Closed) Accuracy prediction for regression
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gravatar for ashamscsoft
3.6 years ago by
ashamscsoft • 20
ashamscsoft • 20 wrote:

I have a doubt in accuracy prediction for regression. I'm new to regression, so please help me? Suppose if I have correlation coefficient as 0.97 and root mean square error as 0.0003. How to calculate accuracy for this?
regression • 793 views
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modified 3.6 years ago by Nicolas Rosewick ♦ 9.3k • written 3.6 years ago by ashamscsoft • 20

Hello ashamscsoft!

We believe that this post does not fit the main topic of this site.

Not a bioinformatics question.

For this reason we have closed your question. This allows us to keep the site focused on the topics that the community can help with.

If you disagree please tell us why in a reply below, we'll be happy to talk about it.

Cheers!

ADD REPLY • link written 3.6 years ago by Michael Dondrup ♦ 48k
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gravatar for Nicolas Rosewick
3.6 years ago by
Nicolas Rosewick ♦ 9.3k
Belgium, Brussels
Nicolas Rosewick ♦ 9.3k wrote:

As Jean-Karim suggests you should do cross-validation. In R you can use the CVlm function from DAAG package : http://math.furman.edu/~dcs/courses/math47/R/library/DAAG/html/CVlm.html

Anyway your post should be on the crossValidated (stats stack exchange) as it's not a bioinformatic question : https://stats.stackexchange.com/
ADD COMMENT • link written 3.6 years ago by Nicolas Rosewick ♦ 9.3k
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gravatar for Jean-Karim Heriche
3.6 years ago by
Jean-Karim Heriche ♦ 24k
EMBL Heidelberg, Germany
Jean-Karim Heriche ♦ 24k wrote:

These coefficients are only a measure of how well your model fits the data. They say nothing about the prediction accuracy. A common approach to measure accuracy of predictions is to use crossvalidation.
ADD COMMENT • link written 3.6 years ago by Jean-Karim Heriche ♦ 24k

Can u explain in detail? By using cross-validation how to calculate accuracy for regression.

ADD REPLY • link written 3.6 years ago by ashamscsoft • 20

In crossvalidation, you build your model on part of the training data and measure the accuracy on the remaining training data. You repeat the process several times and average the results. There are different ways of splitting the training data. See the wikipedia article.

ADD REPLY • link written 3.6 years ago by Jean-Karim Heriche ♦ 24k
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