emil (version 1.1-6)

weighted.error.rate: Weighted error rate

Description

If different types of errors are associated with different costs a weighted error function might be more appropriate than the standard.

Usage

weighted.error.rate(x)

Arguments

x

Cost matrix or factor response vector.

Value

• An error function.

Details

This function is not in itself an error function, but used to generate error functions. Either supply a predefined cost matrix or a response vector for a classification problem to define it automatically.

The automatically generated cost matrix will generate an error of 0 if all predictions are correct, 1 if all predictions are incorrect and 0.5 if all predictions are the same (regardless of class, i.e. if one class is smaller it will be given a higher misclassification cost).