Selection Of Independent Binary Features Using Probabilities: An Example From Veterinary Medicine

Authors

Ludmila I. Kuncheva, University of Wales, Bangor, UKFollow
Zoë S.J. Hoare, University of Wales, Bangor, UKFollow
Peter D. Cockcroft, University of Cambridge, UKFollow

Abstract

Supervised classification into c mutually exclusive classes based on n binary features is considered. The only information available is an n×c table with probabilities. Knowing that the best d features are not the d best, simulations were run for 4 feature selection methods and an application to diagnosing BSE in cattle and Scrapie in sheep is presented.

DOI

10.22237/jmasm/1130804220