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.
Kuncheva, Ludmila I.; Hoare, Zoë S.J.; and Cockcroft, Peter D.
"Selection Of Independent Binary Features Using Probabilities: An Example From Veterinary Medicine,"
Journal of Modern Applied Statistical Methods:
2, Article 18.
Available at: http://digitalcommons.wayne.edu/jmasm/vol4/iss2/18