XGeoML-An Ensemble Framework for Explainable Geospatial Machine Learning Models
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资源简介：
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.
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Harvard University创建时间：
2024-01-01
