evalMode

<p>This function is not invoked directly by the user but is used for its effects in the pruning procedure. See Galimberti <em>et al.</em> (2012) for further details.</p>

Recursive partitioning methods to build
classification trees for ordinal responses within the CART
framework. Trees are grown using the Generalized Gini
impurity function, where the misclassification costs are given
by the absolute or squared differences in scores assigned to
the categories of the response. Pruning is based on the total
misclassification rate or on the total misclassification cost.

Giuliano Galimberti

evalMode: Pruning a classification tree using the total misclassification rate

Description

Arguments

References

See Also