One-nearest-neighbour classifier
= One-nearest-neighbour classifier
{title2=$\widehat C_n^{1{\rm nn}}(x)=Y_{I_n(x)}$}
= 1-nearest neighbour classifier
{synonym}
The <classifier> that assigns the query the label of its closest training feature, using <feature-measurable nearest-neighbour tie-breaking>. Its <misclassification risk> need not converge to <Bayes risk>, even with infinitely many <independent and identically distributed random variables> as <training data>.