 Solution

The one-nearest-neighbour classification boundary consists of the portions of the Voronoi diagram separating cells whose observed labels differ. For these nine grid points it forms diagonal and vertical or horizontal perpendicular-bisector segments around the three triangular observations. Every training point is its own nearest neighbour, so, absent a distance tie convention that excludes the query itself, its training error is zero.