Analyzing the impact of socioeconomic indicators on gender inequality in Sri Lanka: A machine learning-based approach.
This study conducts a comprehensive analysis of gender inequality in Sri Lanka, focusing on the relationship between key socioeconomic factors and the Gender Inequality Index (GII) from 1990 to 2022. By applying machine learning techniques, including Decision Trees and Ensemble methods, the study in...
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Main Authors: | Sherin Kularathne, Amanda Perera, Namal Rathnayake, Upaka Rathnayake, Yukinobu Hoshino |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2024-01-01
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Series: | PLoS ONE |
Online Access: | https://doi.org/10.1371/journal.pone.0312395 |
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