Glossary entry (derived from question below)
English term or phrase:
over-fitted
Latvian translation:
pārspīlēti/pārmērīgi pielāgots
Added to glossary by
vita z
Mar 23, 2014 10:46
10 yrs ago
English term
Latvia
Professional attitude, SDL Trados
Native in: Latvian 
Works in: English to Latvian, French to Latvian, Latvian to English
over-fitted
English to Latvian
Science
Mathematics & Statistics
Context:
If too many variables or factors are used, an over-fitted solution may be obtained.
If too many variables or factors are used, an over-fitted solution may be obtained.
Proposed translations
(Latvian)
| 3 | pārspīlēti/pārmērīgi pielāgots |
vita z
|
Change log
Apr 1, 2014 11:22: vita z Created KOG entry
Proposed translations
35 mins
Selected
pārspīlēti/pārmērīgi pielāgots
Overfitting = pārspīlēta/pārmērīga pielāgošana
estudijas.lu.lv/mod/resource/view.php?id=119419
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Note added at 43 mins (2014-03-23 11:30:16 GMT)
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Definition of 'Overfitting'
A modeling error which occurs when a function is too closely fit to a limited set of data points. Overfitting the model generally takes the form of making an overly complex model to explain idiosyncrasies in the data under study. In reality, the data being studied often has some degree of error or random noise within it. Thus attempting to make the model conform too closely to slightly inaccurate data can infect the model with substantial errors and reduce its predictive power.
http://www.investopedia.com/terms/o/overfitting.asp
estudijas.lu.lv/mod/resource/view.php?id=119419
--------------------------------------------------
Note added at 43 mins (2014-03-23 11:30:16 GMT)
--------------------------------------------------
Definition of 'Overfitting'
A modeling error which occurs when a function is too closely fit to a limited set of data points. Overfitting the model generally takes the form of making an overly complex model to explain idiosyncrasies in the data under study. In reality, the data being studied often has some degree of error or random noise within it. Thus attempting to make the model conform too closely to slightly inaccurate data can infect the model with substantial errors and reduce its predictive power.
http://www.investopedia.com/terms/o/overfitting.asp
Note from asker:
| Paldies par palīdzību, Inga! |
4 KudoZ points awarded for this answer.
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