This function saves information about the Random Forest for Efficiency Analysis Trees model.
RFEAT_object(
data,
x,
y,
rownames,
numStop,
m,
s_mtry,
na.rm,
forest,
error,
OOB
)A RFEAT object.
data.frame or matrix containing the variables in the model.
Column input indexes in data.
Column output indexes in data.
string. Data rownames.
Minimun number of observations in a node for a split to be attempted.
Number of trees to be built.
Select number of inputs in each split.
"Breiman": in / 3
"DEA1": (t.obs / 2) - out
"DEA2": (t.obs / 3) - out
"DEA3": t.obs - 2 * out
"DEA4": min(t.obs / out, (t.obs / 3) - out)
logical. If TRUE, NA rows are omitted.
list containing the individual Efficiency Analysis Trees.
Error in Random Forest for Efficiency Analysis Trees.
list containing the observations with which each tree has been trained.