Top scoring pair classifiers: asymptotics and applications
type: Dataset
description: The original top scoring pair (TSP) classifier was proposed by Geman et al. (2004) for binary classification of diseases based on genetic profiles. We show the consistency of two versions of the TSP classifier and their two cross-validated counterparts relative to two different risks: the classical misclassification risk and an asymmetric version of this risk which gives more weight to the rarer class. A numerical study illustrates our results and sheds further light on the different TSP classification procedures.
issued: 2026-05-14T16:45:38.387476
language: en
modified: 2026-05-14T16:45:38.387481
contact point: Organization
  fn: CCSD
keyword: classification
keyword: cross-validation
keyword: infoeu-reposemanticspreprint
keyword: mathmath-stmathematics-mathstatistics-mathst
keyword: preprints-working-papers-
keyword: statthstatistics-statstatistics-theory-statth
keyword: top-scoring-pair-classifier
landing page: https://hal.science/hal-00784869

Top scoring pair classifiers: asymptotics and applications
type: Distribution
format: HTML
issued: 2026-05-14T16:45:38.391012
modified: 2026-05-14T16:45:38.366747
access URL: https://hal.science/hal-00784869

test_moissonnage_selune
type: Agent