Pregled bibliografske jedinice broj: 793931
How to Improve Interpretability of the Logistic Regression Model
How to Improve Interpretability of the Logistic Regression Model // Proceedings of the 13th International Symposium on Operational Research / L. Zadnik Stirn, J. Žerovnik, M. Kljajić Borštar and S. Drobne (ur.).
Bled: Slovensko društvo informatika, 2015. str. 279-284 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 793931 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
How to Improve Interpretability of the Logistic Regression Model
Autori
Bilandžić, Ana ; Jeger, Marina ; Šarlija, Nataša
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 13th International Symposium on Operational Research
/ L. Zadnik Stirn, J. Žerovnik, M. Kljajić Borštar and S. Drobne - Bled : Slovensko društvo informatika, 2015, 279-284
ISBN
978-961-6165-45-7
Skup
The 13th International Symposium on Operational Research
Mjesto i datum
Bled, Slovenija, 23.09.2015. - 25.09.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
factor analysis ; logistic regression ; interpretability ; growth prediction model
Sažetak
Developing and interpreting a prediction model can be quite a difficult task especially when dealing with highly correlated variables. The aim of this paper is to demonstrate the application of factor analysis for the purpose of increasing overall interpretability of the logistic regression model. The results show that by conducting factor analysis prior to building regression model researchers can overcome some model interpretability issues, such as misalignment with theoretical background, and create a model that is easier to understand, explain and apply in real-life business situations.
Izvorni jezik
Engleski
POVEZANOST RADA
Projekti:
HRZZ-IP-2013-11-3933 - Razvoj i upotreba modela za procjenu potencijala za rast za mala i srednja poduzeća u Hrvatskoj (CROSMEGROWTH) (Šarlija, Nataša, HRZZ - 2013-11) ( CroRIS)
