Temat: predictive ability - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: ON THE SELECTED METHODS FOR EVALUATING CLASSIFICATION MODELS
Autorzy:: Misztal, Małgorzata
Powiązania:: https://bibliotekanauki.pl/articles/655797.pdf
Data publikacji:: 2014
Wydawca:: Uniwersytet Łódzki. Wydawnictwo Uniwersytetu Łódzkiego
Tematy:: classifier performance
predictive ability
ROC curve
reclassification
decision curve
Opis:: Traditional measures for assessing the performance of classification models for binary outcomes are the ROC curve and the area under the ROC curve (AUC). Reclassification tables (Cook, 2008), net reclassification improvement (NRI) and integrated discrimination improvement (IDI) (Pencina et al., 2008) or decision – analytic measures with decision curve analysis (Vickers & Elkin, 2006) have been recently proposed for evaluating the predictive ability of classifiers. This paper analyzes the measures mentioned above with some credit taking application.
Źródło:: Acta Universitatis Lodziensis. Folia Oeconomica; 2014, 3, 302
0208-6018
2353-7663
Pojawia się w:: Acta Universitatis Lodziensis. Folia Oeconomica
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Machine tool ability representation: a review
Autorzy:: Sadasivam, L.
Archenti, A.
Sandberg, U.
Powiązania:: https://bibliotekanauki.pl/articles/99804.pdf
Data publikacji:: 2018
Wydawca:: Wrocławska Rada Federacji Stowarzyszeń Naukowo-Technicznych
Tematy:: machine tool
ability
health
predictive maintenance
accuracy
Opis:: Smart manufacturing and predictive maintenance are current trends in the manufacturing industry. However, the holistic understanding of the machine tool health condition in terms of accuracy, functions, process and availability is still unclear. This uncertainty renders the development of models and the data acquisition related to machine tool health condition ineffective. This paper proposes the term machine tool ability as an interconnection between the accuracy, functions, the process and the availability to overcome the lack of the holistic understanding of the machine tool. This will facilitate the further development of qualitative or quantitative methods as well as models. The research highlights the challenges and gaps to understand the machine tool ability.
Źródło:: Journal of Machine Engineering; 2018, 18, 2; 5-16
1895-7595
2391-8071
Pojawia się w:: Journal of Machine Engineering
Dostawca treści:: Biblioteka Nauki

Artykuł

Informacja