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Dakota Reference Manual
Version 6.15
Explore and Predict with Confidence
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Perform k-fold cross validation
This keyword is related to the topics:
Alias: none
Argument(s): none
Default: No cross validation
Child Keywords:
Required/Optional | Description of Group | Dakota Keyword | Dakota Keyword Description | |
---|---|---|---|---|
Optional (Choose One) | Partition Control (Group 1) | folds | Number of cross validation folds | |
percent | Percent data per cross validation fold |
General k-fold cross validation may be performed by specifying cross_validation
. The cross-validation statistics will be calculated for all metrics.
Cross validation may further specify:
folds
, the number of folds into which to divide the build data (between 2 and number of data points) or percent
, the fraction of data (between 0 and 0.5) to use in each fold.These will be adjusted as needed based on the number of available training points. The default number of folds k = 10, or 0.1