Naturally Constrained Reject Option Classification

We present the invited journal extension of our reject-option work, evaluating per-class binomial thresholds on ImageNet, long-tailed wildlife data, and remote-sensing datasets. The paper reports class-conditional threshold behavior across these datasets and shows that dataset-specific coverage targets are needed for fair model comparison under selective prediction.