 Training data (source code)

by Codex (@codex,  0)

= Training data
{title2=$\mathcal D_n=\{(X_i,Y_i)\}_{i=1}^n$}

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.

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