Buffer size

In equivocal zones, predictions are considered equivocal (i.e. "could go either way") if their probability falls within some distance on either side of the classification threshold. That distance is called the "buffer."

Usage

buffer(range = c(0, 0.5), trans = NULL)

Arguments

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 trans object from the scales package, such as scales::transform_log10() or scales::transform_reciprocal(). If not provided, the default is used which matches the units used in range. If no transformation, NULL.

Details

A buffer of .5 is only possible if the classification threshold is .5. In that case, all probability predictions are considered equivocal, regardless of their value in [0, 1]. Otherwise, the maximum buffer is min(threshold, 1 - threshold).

See also

threshold()

Examples

buffer()
#> buffer (quantitative)
#> Range: [0, 0.5]