Definitions
from Wiktionary, Creative Commons Attribution/Share-Alike License.
- verb Present participle of
overfit . - noun The action of the verb
overfit
Etymologies
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Examples
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(As for Jeffrey's 1968/2008 presidential campaign parallel ... it's not a bad exercise, but in the main I think Jeffrey's "overfitting" the data too muchly.)
Archive 2007-11-01 2007
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(As for Jeffrey's 1968/2008 presidential campaign parallel ... it's not a bad exercise, but in the main I think Jeffrey's "overfitting" the data too muchly.)
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This is completely consistent with our understanding of MBH methods – a classic spurious regression of the bristlecones combined with massive "overfitting" from essentially white noise series in the calibration period, thus the breakdown of the cross-validation R2.
Rutherford et al [2005] Collation Errors « Climate Audit 2006
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The statistical issue that it turns over – and it’s something that isn’t considered anywhere in multivariate statistical literature – is what happens when you mix one “classical” univariate spurious regression with multivariate overfitting which is my model for MBH.
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As in Brown’s multivariate calibration confidence formula, which takes this kind of overfitting large amount of responses into account in the uncertainties.
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Avoiding that disaster — called overfitting — is a bit of an art; and being very good at it separates masters like BellKor from the rest of the field.
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Avoiding that disaster — called overfitting — is a bit of an art; and being very good at it separates masters like BellKor from the rest of the field.
This Psychologist Might Outsmart the Math Brains Competing for the Netflix Prize « Isegoria 2008
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Then again you can do much worse than just using normal assumptions (maybe autochecking a few heavy-tailed/one-sided/clever alternatives using some information criterion against overfitting) and churning on that. 95% of the result in 5% of the effort …
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It's nonsense; any QSAR modeler can explain in details the dangers of overfitting, extrapolation, etc, etc.
Archive 2008-08-01 Egon Willighagen 2008
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It's nonsense; any QSAR modeler can explain in details the dangers of overfitting, extrapolation, etc, etc.
"The End of Theory: The Data Deluge Makes the Scientific Method Obsolete" Egon Willighagen 2008
john commented on the word overfitting
"In statistics, overfitting is fitting a statistical model that has too many parameters. An absurd and false model may fit perfectly if the model has enough complexity by comparison to the amount of data available. Overfitting is generally recognized to be a violation of Occam's razor."
Wikipedia
August 20, 2008
seanahan commented on the word overfitting
Did you read an article yesterday about overfitting? It's enough to make a person trained in statistics cry.
August 21, 2008
ruzuzu commented on the word overfitting
"Did you by any chance mean overfishing?"
May 8, 2013