Naslov
Bio-inspired wrapper-based feature selection: does the choice of metric matter?

Autori
Bajer, Dražen ; Dudjak, Mario ; Zorić, Bruno

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2022 International Conference on Smart Systems and Technologies (SST) / - Osijek : Fakultet elektrotehnike, računarstva i informacijskih tehnologija Sveučilišta Josipa Jurja Strossmayera u Osijeku, 2022, 187-194

ISBN
978-1-6654-8215-8

Skup
International Conference on Smart Systems and Technologies 2022 (SST 2022)

Mjesto i datum
Osijek, Hrvatska, 19.10.2022. - 21.10.2022

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
classification ; differential evolution ; feature selection ; performance metrics ; wrapper methods

Sažetak
Applications of bio-inspired algorithms to feature selection offering promising performance can be frequently encountered in the literature. Serving as wrappers, their application essentially boils down to the selection of a classifier and an appropriate metric for evaluating model performance. Although the choice of classifier was investigated to a viable extent, this is, however, not the case for the choice of metric and its impact on performance. Nevertheless, the utilisation of a wide variety of metrics is clearly apparent, albeit to different proportions. This raises the question of whether some metrics might be a better choice than others for bio inspired wrapper-based methods. This paper sheds some light on this matter by comparing different metrics from different perspectives, like correlation, general performance and subset sizes. Unexpected results were obtained, to say the least, apart from some minor exceptions. Generally, no single metric appears to have an edge over the others. Yet, further investigation is certainly warranted.

Izvorni jezik
Engleski

Znanstvena područja
Računarstvo

POVEZANOST RADA