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Is P-value<0.05 Enough? Two Case Studies in Classifiers Evaluation

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)

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: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Computational Intelligence Group
Depositing User: Alex Freitas
Date Deposited: 01 Feb 2019 13:05 UTC
Last Modified: 04 Feb 2020 04:11 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/72111 (The current URI for this page, for reference purposes)
Freitas, Alex A.: https://orcid.org/0000-0001-9825-4700
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