Machine Learning Ensemble Modelling for Predicting Unemployment Duration

Machine Learning Ensemble Modelling for Predicting Unemployment Duration

Predictions of the unemployment duration of the economically active population play a crucial assisting role for policymakers and employment agencies in the well-organised allocation of resources (tied to solving problems of the unemployed, whether on the labour supply or demand side) and providing...

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Bibliographic Details
Main Authors: Barbora Gabrikova, Lucia Svabova, Katarina Kramarova
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Applied Sciences
Subjects:
unemployment
ensemble modelling
CRISP-DM
data-mining
unemployment duration prediction
Online Access:https://www.mdpi.com/2076-3417/13/18/10146

Internet

https://www.mdpi.com/2076-3417/13/18/10146

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