If different types of errors are associated with different costs a weighted error function might be more appropriate than the standard.
weighted_error_rate(x)Cost matrix or factor response vector.
An error function.
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).