ICAR Research Data Repository for Knowledge Management
XGeoML-An Ensemble Framework for Explainable Geospatial Machine Learning Models
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
XGeoML-An Ensemble Framework for Explainable Geospatial Machine Learning Models
|
|
| Identifier |
https://doi.org/10.7910/DVN/BYQTJC
|
|
| Creator |
Liu, Lingbo
|
|
| Publisher |
Harvard Dataverse
|
|
| Description |
Through tests on synthetic datasets, this framework is verified to enhance the interpretability and accuracy of predictions in both geographic regression and classification by elucidating spatial variability. It significantly boosts prediction precision, offering a novel approach to understanding spatial phenomena.
|
|
| Subject |
Computer and Information Science
Earth and Environmental Sciences Social Sciences |
|
| Date |
2024-02-23
|
|
| Contributor |
Liu, Lingbo
|
|