STAC: a web platform for the comparison of algorithms using statistical tests

TítuloSTAC: a web platform for the comparison of algorithms using statistical tests
AutoresIsmael Rodríguez-Fdez, Adrián Canosa, Manuel Mucientes and Alberto Bugarín
TipoComunicación para congreso
Fonte 2015 IEEE International Conference on Fuzzy Systems, Estambul (Turquía), IEEE, pp. 1-8 , 2015.
RankRanked A in CORE
ISBN978-1-4673-7428-6
ISSN1098-7584
DOI10.1109/FUZZ-IEEE.2015.7337889
AbstractOne of the most suited techniques for comparing results obtained from computational intelligence algorithms is the statistical hypothesis testing. This method can be used to contrast if the difference between the algorithm with the best results and other algorithms is actually significant. In this paper, we present STAC (Statistical Tests for Algorithms Comparison), a new platform for statistical analysis to verify the results obtained from computational intelligence algorithms. STAC consists of three different layers for performing statistical tests: a Python library, a set of web services and a web client. We show several use cases, in which both non-expert and expert users interact with the web client and use the web services in different programming languages.
Palabras chaveStatistical analysis, soft computing sofware