confidence_factor: Parameters for possible engine parameters for C5.0
Description
These parameters are auxiliary to tree-based models that use the "C5.0"
engine. They correspond to tuning parameters that would be specified using
set_engine("C5.0", ...).
Usage
confidence_factor(range = c(-1, 0), trans = log10_trans())
no_global_pruning(values = c(TRUE, FALSE))
predictor_winnowing(values = c(TRUE, FALSE))
fuzzy_thresholding(values = c(TRUE, FALSE))
rule_bands(range = c(2L, 500L), trans = NULL)
Arguments
range
A two-element vector holding the defaults for the smallest and
largest possible values, respectively.
trans
A trans object from the scales package, such as
scales::log10_trans() or scales::reciprocal_trans(). If not provided,
the default is used which matches the units used in range. If no
transformation, NULL.
values
For no_global_pruning(), predictor_winnowing(), and
fuzzy_thresholding() either TRUE or FALSE.
Details
To use these, check ?C50::C5.0Control to see how they are used.