bn.kcv.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 classbn.fit, the Bayesian network
fitted from the training set.loss: the value of the loss function.If the loss function rquires 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
thekiterations of the cross-validation.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 classbn(a fixed network structure).