Variables/Features used to identify leptospirosis risk from XGBoost and their description.

<p>Variables/Features used to identify leptospirosis risk from XGBoost and their description.</p>

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Bibliographic Details
Main Author:	Pikkanet Suttirat (13567965) (author)
Other Authors:	Sudarat Chadsuthi (3738406) (author), Charin Modchang (3738409) (author), Joacim Rocklöv (296647) (author)
Published:	2025
Subjects:	Ecology Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified shapley additive explanation median incidence rate 878 &# 8211 861 &# 8211 2020 &# 8211 low risk based specific climatic variables model &# 8217 predicting leptospirosis risk model performance declined leptospirosis risk predictive performance integrating climatic testing periods targeted interventions study develops study demonstrates strongest predictors provincial level potential underreporting machine learning household size driving outbreaks complex mix complex interplay classify provinces agricultural features
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