PIAAC’s role in global food security: Evidence from machine learning-based feature selection across three major food security indicators

Sneha Roy; Jeffrey Zacharakis

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PIAAC’s role in global food security: Evidence from machine learning-based feature selection across three major food security indicators

Authors

- Sneha Roy
- North Carolina Agricultural and Technical State University
- Jeffrey Zacharakis
- Kansas State University

Abstract

The PIAAC country dataset for 36 countries is explored to understand its role in global food security, adding to its significance in sustainable development goal four, zero hunger.

Keywords: PIAAC, food security, adult, skills, sustainable development

How to Cite: Roy, S. & Zacharakis, J. (2023) “PIAAC’s role in global food security: Evidence from machine learning-based feature selection across three major food security indicators”, Adult Education Research Conference. 1(2023).