Learning to Benchmark: Determining Best Achievable Misclassification Error from Training Data

Morteza Noshad, Li Xu, Alfred Hero

We address the problem of learning to benchmark the best achievable classifier performance. In this problem the objective is to establish statistically consistent estimates of the…