class_cost: Cost parameter for minority class

In baguette: Efficient Model Functions for Bagging

Cost parameter for minority class

Description

Used in bag_treer().

Usage

class_cost(range = c(0, 5), 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.

Details

This parameter reflects the cost of a misclassified sample relative to a baseline cost of 1.0. For example, if the first level of an outcome factor occurred rarely, it might help if this parameter were set to values greater than 1.0. If the second level of the outcome factor is in the minority, values less than 1.0 would cause the model to emphasize the minority class more than the majority class.

Examples

class_cost()

baguette documentation built on April 4, 2025, 12:22 a.m.