Obiekt
Tytuł: Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms
Autor:
Trawiński, Bogdan ; Smętek, Magdalena ; Telec, Zbigniew ; Lasota, Tadeusz
Data wydania:
Typ zasobu:
Współtwórca:
Cordón, Oskar - ed. ; Kazienko, Przemysław - ed.
Podtytuł:
Hybrid and Ensemble Methods in Machine Learning
Tytuł publikacji grupowej:
Abstract:
In the paper we present some guidelines for the application of nonparametric statistical tests and post-hoc procedures devised to perform multiple comparisons of machine learning algorithms. We emphasize that it is necessary to distinguish between pairwise and multiple comparison tests. ; We show that the pairwise Wilcoxon test, when employed to multiple comparisons, will lead to overoptimistic conclusions. We carry out intensive normality examination employing ten different tests showing that the output of machine learning algorithms for regression problems does not satisfy normality requirements. ; We conduct experiments on nonparametric statistical tests and post-hoc procedures designed for multiple 1×N and N×N comparisons with six different neural regression algorithms over 29 benchmark regression data sets. Our investigation proves the usefulness and strength of multiple comparison statistical procedures to analyse and select machine learning algorithms.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Identyfikator zasobu:
DOI:
Strony:
Źródło:
AMCS, Volume 22, Number 4 (2012) ; kliknij tutaj, żeby przejść
Jezyk:
Prawa do dysponowania publikacją:
Biblioteka Uniwersytetu Zielonogórskiego
Kolekcje, do których przypisany jest obiekt:
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Jednostki organizacyjne > Wydział Informatyki, Elektrotechniki i Automatyki
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Typy utworów > Artykuły
- Zielonogórska Biblioteka Cyfrowa > Repozytorium > Czasopisma naukowe i serie wydawnicze UZ > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (2012)
Data ostatniej modyfikacji:
2021-10-14
Data dodania obiektu:
2021-09-15
Liczba wyświetleń treści obiektu:
176
Wszystkie dostępne wersje tego obiektu:
https://zbc.uz.zgora.pl/publication/65814
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Wyświetl opis w formacie OAI-PMH:
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| Nazwa wydania | Data |
|---|---|
| Nonparametric statistical analysis for multiple comparison of machine learning regression algorithms | 2021-10-14 |
