A machine learning approach to identifying climate change drivers in Africa’s bioenergy sector
Abstract This study employed machine learning techniques to analyze the key bioenergy sources related to climate change. By utilizing traditional cross-validation and spatial block cross-validation, significant variables were identified. Shape Additive Explanation (SHAP) analysis further revealed th...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-07-01
|
| Series: | Discover Sustainability |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43621-025-01475-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|