Any Discrimination Rule Can Have an Arbitrarily Bad Probability of Error for Finite Sample Size

  • Authors:
  • Luc Devroye

  • Affiliations:
  • School of Computer Science, McGill University, Montreal, P.Q., Canada.

  • Venue:
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Year:
  • 1982

Quantified Score

Hi-index 0.14

Visualization

Abstract

Consider the basic discrimination problem based on a sample of size n drawn from the distribution of (X, Y) on the Borel sets of Rdx {O, 1}. If 0