Overfitting

Word OVERFITTING
Character 11
Hyphenation N/A
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Definitions and meanings of "Overfitting"

What do we mean by overfitting?

Here you will find one or more explanations in English for the word overfitting. Define overfitting, overfitting synonyms, overfitting pronunciation, overfitting translation, English dictionary definition of overfitting.

In statistics and machine learning, overfitting occurs when a statistical model describes random error or noise instead of the underlying relationship. Also can be used to describe the excessively small sized clothing worn by large or obese persons. Urban Dictionary

Synonyms and Antonyms for Overfitting

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The word "overfitting" in example sentences

(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.) ❋ Unknown (2007)

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. ❋ Unknown (2006)

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. ❋ Unknown (2006)

As in Brown’s multivariate calibration confidence formula, which takes this kind of overfitting large amount of responses into account in the uncertainties. ❋ Unknown (2006)

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. ❋ Unknown (2008)

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 … ❋ Unknown (2008)

It's nonsense; any QSAR modeler can explain in details the dangers of overfitting, extrapolation, etc, etc. ❋ Egon Willighagen (2008)

If we move away from 50-100 molecules in our QSAR training, but use 10k of chemically alike molecules, then our modeling approaches (if capable of handling the matrices) would have a much, much smaller chance for overfitting, extrapolation (there is much, much more interpolation now), etc. ❋ Egon Willighagen (2008)

RE: #439 – Data snooping and overfitting are explicit goals of those who do these things. steven mosher ❋ Unknown (2007)

A lot of the mathematics discussed here is over my head, but IMHO, the climate models are nothing more than a classical example of overfitting by careful selection of parameters. ❋ Unknown (2007)

I am sure you can argue to the cows come home that the REG reconstruction ar2 has be inflated due to overfitting, but you cannot say that about IBC. ❋ Unknown (2007)

Weighting by calculating regression coefficients seems ripe for overfitting. ❋ Unknown (2007)

The order would be constrained to a realizable result if and only if the reduction of scale could be contained somehow correctly in the “forcing” of the illposed boundary of the non-physical, which could not by defintion be determined a priori, but with a nonphysical constraint must be post facto and will tend to suffer overfitting as one tries to determine the magnitude assuming one has the order of magnitude correct. ❋ Unknown (2007)

I observed the overfitting problems in a post here ❋ Unknown (2007)

That [sumo wrestler's] [pants] are overfitting. ❋ Blackcamel (2014)

Cross Reference for Overfitting

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What does overfitting mean?

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