The structure of an object of S3 class bn.kcv or bn.kcv.list.
An object of class bn.kcv.list is a list whose elements are objects
of class bn.kcv.
An object of class bn.kcv is a list whose elements correspond to the
iterations of a k-fold cross-validation. Each element contains the following
objects:
test: an integer vector, the indexes of the observations
used as a test set.
fitted: an object of class bn.fit, the Bayesian network
fitted from the training set.
loss: the value of the loss function.
If the loss function requires to predict values from the test sets, each element also contains:
predicted: a factor or a numeric vector, the predicted values
for the target node in the test set.
observed: a factor or a numeric vector, the observed values
for the target node in the test set.
In addition, an object of class bn.kcv has the following attributes:
loss: a character string, the label of the loss function.
mean: the mean of the values of the loss function computed in
the k iterations of the cross-validation, which is printed as the
"expected loss" or averaged to compute the "average loss over the runs".
bn: either a character string (the label of the learning
algorithm to be applied to the training data in each iteration) or an
object of class bn (a fixed network structure).