weighted_error_rate: Weighted error rate
In emil: Evaluation of Modeling without Information Leakage

Description Usage Arguments Details Value Author(s)

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

1	weighted_error_rate(x)

`x`	Cost matrix or factor response vector.

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).

An error function.

Christofer Bäcklin

emil documentation built on Aug. 1, 2018, 1:03 a.m.