crossval
Cross-validate discriminant analysis classifier
Description
returns a cross-validated (partitioned) discriminant analysis classifier
(cvmodel
= crossval(mdl
)cvmodel
) from a trained discriminant analysis classifier
(mdl
). By default, crossval
uses
10-fold cross validation on the training data to create cvmodel
.
specifies additional options using one or more name-value arguments. For example, you can
specify the fraction of data for holdout validation, and the number of folds to use in the
cross-validated model.cvmodel
= crossval(mdl
,Name=Value
)
Examples
Input Arguments
Tips
Alternative Functionality
You can create a cross-validation classifier directly from the data, instead of creating a
discriminant analysis classifier followed by a cross-validation classifier. To do so, include
one of these options in fitcdiscr
: CrossVal
,
CVPartition
, Holdout
, KFold
, or
Leaveout
.
Version History
Introduced in R2011b
See Also
Functions
fitcdiscr
|crossval
|kfoldEdge
|kfoldfun
|kfoldLoss
|kfoldMargin
|kfoldPredict