The base learner used in the ensemble technique.
Classifier chain learner takes a single-target learner and with it creates a classifier for every class variable in the data. Every time a classifier is created, the values of that class variable are added to features. The order in which the class variables are chosen is random.
If checked, the values added into features are actual values from the data. Otherwise the values predicted by the classifier are used.