These training criteria have yielded excellent results for various tasks.
real world tasks are evaluated by task-specific evaluation measures, including non-linear measures such as Fscore, while all of the above criteria achieve optimization based on the linear combination of average accuracies, or error rates, rather than a given task-specific evaluation measure.