View source: R/fftrees_apply.R
fftrees_apply | R Documentation |
fftrees_apply
applies a fast-and-frugal tree (FFT, as an FFTrees
object)
to a dataset (of type mydata
) and generates corresponding accuracy statistics
(on cue levels and for trees).
fftrees_apply
is called internally by the main FFTrees
function
(with mydata = "train"
and — if test data exists — mydata = "test"
).
Alternatively, fftrees_apply
is called when predicting outcomes for new data
by predict.FFTrees
.
fftrees_apply(x, mydata = NULL, newdata = NULL, fin_NA_pred = "majority")
x |
An object with FFT definitions which are to be applied to current data (as an |
mydata |
The type of data to which the FFT should be applied (as character, either |
newdata |
New data to which an FFT should be applied (as a data frame). |
fin_NA_pred |
What outcome should be predicted if the final node in a tree has a cue value of
Default: |
A modified FFTrees
object (with lists in x$trees
containing information on FFT decisions and statistics).
FFTrees
for creating FFTs from and applying them to data.
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