This function saves information about the Efficiency Analysis Trees model.
EAT_object(
data,
x,
y,
rownames,
numStop,
fold,
max.depth,
max.leaves,
na.rm,
tree
)An EAT object.
data.frame or matrix containing the variables in the model.
Column input indexes in data.
Column output indexes in data.
string. Data rownames.
Minimum number of observations in a node for a split to be attempted.
Set of number of folds in which the dataset to apply cross-validation during the pruning is divided.
Maximum number of leaf nodes.
Depth of the tree.
logical. If TRUE, NA rows are omitted. If FALSE, an error occurs in case of NA rows.
list containing the nodes of the Efficiency Analysis Trees pruned model.