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Statistical knowledge-guided multi-classification machine learning modeling scheme for landslide susceptibility levels
DOI:10.1016/j.enggeo.2025.108458.png)
Abstract
En 中文
• A multi-class modeling scheme addressing info loss in binary models is proposed. • A landslide hit optimization index for assessment of mapping results is designed. • The multi-class modeling outperforms binary modeling in the mapping results. • Explanatory analysis results are highly compatible with the local geologic surveys.
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