Introduction to Natural Language Processing, End Term

January 2025 term, 13 Apr 2025, Set QDF3

Learning mode

Question 1

+3−0Single correct

Why might accuracy be a misleading metric for evaluating POS tagging systems in cases of class imbalance?

A.
Because accuracy does not account for the number of true negatives.
B.
Because accuracy gives equal weight to all classes, even if some tags are much rarer than others.
C.
Because accuracy only measures the precision of the system, ignoring recall.
D.
Because accuracy is not affected by the number of false positives and false negatives.

Introduction to Natural Language Processing, End Term

January 2025 term, 13 Apr 2025, Set QDF3

Learning mode

+3−0Single correct

Why might accuracy be a misleading metric for evaluating POS tagging systems in cases of class imbalance?

A.
Because accuracy does not account for the number of true negatives.
B.
Because accuracy gives equal weight to all classes, even if some tags are much rarer than others.
C.
Because accuracy only measures the precision of the system, ignoring recall.
D.
Because accuracy is not affected by the number of false positives and false negatives.

Report a problem