Compute the cross-validation emprirical and generalization scores.
Usage
runCrossval(X, y, clf, lfolds = NULL, nfolds = 10, return.all = FALSE)
Arguments
- X:
the data matrix with variables in the rows and observations in the columns
- y:
the response vector
- clf:
the classifier parameter object
- nfolds:
the number of folds for the cross-validation
- return.all:
return all results from the crossvalidation for feature stability testing
Value
a list containing empirical, generalisation scores for each fold as well as a matrix with the mean values.
