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.