How does KNN behave under class overlap conditions?

KNN becomes probabilistic and unstable when classes overlap heavily.

In overlapping feature spaces, neighbors from multiple classes appear in the same region. KNN then depends heavily on K and local density, leading to fluctuating predictions and reduced confidence.