An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia

An Explainable Framework Integrating Local Biplots and Gaussian Processes for Unemployment Rate Prediction in Colombia

Addressing unemployment is essential for formulating effective public policies. In particular, socioeconomic and monetary variables serve as essential indicators for anticipating labor market trends, given their strong influence on employment dynamics and economic stability. However, effective unemp...

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Bibliographic Details
Main Authors: Diego Armando Pérez-Rosero, Diego Alejandro Manrique-Cabezas, Jennifer Carolina Triana-Martinez, Andrés Marino Álvarez-Meza, German Castellanos-Dominguez
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Computation
Subjects:
explainability
unemployment rate
regression
local biplot
UMAP
Gaussian Processes
Online Access:https://www.mdpi.com/2079-3197/13/5/116
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