Evaluation of Discriminant Function Classification Performance
If fi(x) is multivariate normal with mean μ and covariance Ʃ, we can easily calculate these rates. When the parameter is not known a number of error rates may be defined. The function T (R, F) defines the error rates. The first argument is the presumed distribution of the observation that will be classified.
Authors
- P. N. Opara
Institutions
- Imo State Polytechnic Omuma (NG)
Publication Details
- Journal
- INTERNATIONAL JOURNAL OF APPLIED SCIENCE AND MATHEMATICAL THEORY
- Published
- 2026-11-06
- DOI
- https://doi.org/10.56201/ijasmt.vol.12.no10.2026pg38.43
- Primary Topic
- Statistical Methods and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00