Freitas, Alex A., Pinto Junior, Jony A., Plastino, Alexandre, Neumann, Nadine M. (2018) Is P-value<0.05 Enough? Two Case Studies in Classifiers Evaluation. In: Annals of the National Meeting of Artificial and Computational Intelligence (ENIAC). . pp. 94-103. (doi:10.5753/eniac.2018.4407) (KAR id:72111)
PDF
Publisher pdf
Language: English |
|
Download (180kB)
Preview
|
Preview |
This file may not be suitable for users of assistive technology.
Request an accessible format
|
|
Official URL https://doi.org/10.5753/eniac.2018.4407 |
Abstract
A common tool used in the process of comparing classifiers is
However, there are many researchers attempting to obtain statistical significance through a blinding evaluating of the p-value<0.05 condition, ignoring
highlights possible problems caused by the misuse of the hypothesis test and
a better decision making. Therefore, two case studies applying Student’s
are presented.
Item Type: | Conference or workshop item (Proceeding) |
---|---|
DOI/Identification number: | 10.5753/eniac.2018.4407 |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Alex Freitas |
Date Deposited: | 01 Feb 2019 13:05 UTC |
Last Modified: | 16 Feb 2021 14:02 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/72111 (The current URI for this page, for reference purposes) |
Freitas, Alex A.: | ![]() |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):