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Maximum Bins Parameter

Source: R/step_obwoe.R
obwoe_max_bins.Rd

A quantitative tuning parameter for the maximum number of bins in step_obwoe.

Usage

obwoe_max_bins(range = c(5L, 20L), trans = NULL)

Arguments

range

A two-element integer vector specifying the minimum and maximum values for the parameter. Default is c(5L, 20L).

trans

A transformation object from the scales package, or NULL for no transformation. Default is NULL.

Value

A dials quantitative parameter object.

Details

The maximum number of bins limits algorithm complexity and helps prevent overfitting. Higher values allow more granular discretization but may capture noise rather than signal.

For credit scoring applications, max_bins is typically set between 5 and 10 to balance predictive power with interpretability. Values above 15 are rarely necessary and may indicate overfitting.

See also

step_obwoe, obwoe_min_bins

Examples

obwoe_max_bins()
#> Maximum Bins (quantitative)
#> Range: [5, 20]
obwoe_max_bins(range = c(4L, 12L))
#> Maximum Bins (quantitative)
#> Range: [4, 12]