Table 3. Description of the three simple classifiers.

They are used to evaluate the behavior of metrics in Table 2 for imbalanced data.

Classifiers	Description
C1	Generates random predictions by respecting the training set’s class distribution.
C2	Always predicts the most frequent label in the training set.
C3	Generates predictions uniformly at random.