Separate error rates with respect to the false negative and false positive cases are computed to take into account the
A)asymmetric costs in misclassification.
B)symmetric weights of these two cases.
C)distortions due to outliers.
D)effect of sampling error.

Question

Quizplus · Accepted Answer

Separate error rates with respect to false negative and false positive cases are computed to take into account the asymmetric costs in misclassification. False negative and false positive errors have different consequences and costs, and therefore it is important to consider them separately.

Separate Error Rates with Respect to the False Negative and False