An Asymmetric Ensemble Method for Determining the Importance of Individual Factors of a Univariate Problem

An Asymmetric Ensemble Method for Determining the Importance of Individual Factors of a Univariate Problem

This study proposes an innovative model that determines the importance of selected factors of a univariate problem. The proposed model has been developed based on the example of determining the impact of non-medical factors on the quality of inpatient treatment, but it is generally applicable to any...

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Bibliographic Details
Main Authors: Jelena Mišić, Aleksandar Kemiveš, Milan Ranđelović, Dragan Ranđelović
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Symmetry
Subjects:
binary classification algorithm
logistic regression
feature selection
ensemble method
factors for successful inpatient treatment
Online Access:https://www.mdpi.com/2073-8994/15/11/2050

Internet

https://www.mdpi.com/2073-8994/15/11/2050

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