A simple and robust scoring technique for binary classification - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Artificial Intelligence Research Année : 2014

A simple and robust scoring technique for binary classification

Charles Gomes
  • Fonction : Auteur
  • PersonId : 964686
Hisham Nocairi
  • Fonction : Auteur
  • PersonId : 964687
Marie Thomas
  • Fonction : Auteur
  • PersonId : 964688
Jean-François Collin
  • Fonction : Auteur
  • PersonId : 919121

Résumé

A new simple scoring technique is developed in a binary supervised classification context when only a few observations are available. It consists in two steps: in the first one partial scores are obtained, one for each predictor, either categorical or continuous. Each partial score is a discrete variable with 7 values ranging from -3 to 3, based upon an empirical comparison of the distributions for each class. In a second step the partial scores are added and standardised into a global score, which allows a decision rule. This simple technique is successfully compared with classical supervised techniques for a classical benchmark and has been proved to be especially well fitted in an industrial problem.
Fichier principal
Vignette du fichier
art_2944.pdf (7.3 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01126370 , version 1 (16-03-2020)

Identifiants

Citer

Charles Gomes, Hisham Nocairi, Marie Thomas, Jean-François Collin, Gilbert Saporta. A simple and robust scoring technique for binary classification. Journal of Artificial Intelligence Research, 2014, 3 (1), pp.52-58. ⟨10.5430/air.v3n1p52⟩. ⟨hal-01126370⟩
159 Consultations
52 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More