confidence_factor | R Documentation |
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", ...)
.
confidence_factor(range = c(-1, 0), trans = transform_log10())
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)
range |
A two-element vector holding the defaults for the smallest and largest possible values, respectively. If a transformation is specified, these values should be in the transformed units. |
trans |
A |
values |
For |
To use these, check ?C50::C5.0Control
to see how they are used.
confidence_factor()
no_global_pruning()
predictor_winnowing()
fuzzy_thresholding()
rule_bands()
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.