Training data (${\mathcal{D}}_n=\{(X_i,Y_i){\}}_{i=1}^n$)

The observations used to construct a classifier or other fitted rule. For a random fitted classifier, its conditional misclassification risk conditions on these observations and evaluates an independent test pair. Auxiliary randomization used in fitting belongs to the conditioning information as well.