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.