Temporal and spatial evaluation of XGBoost model predictions across Thai provinces (2007–2022).

<p>The heatmap visualizes prediction accuracy across training (2007–2017) and testing (2018–2022) periods, with colors indicating prediction outcomes: correct predictions (blue), false positives/overprediction (pink, high-risk predicted for low-risk years), and false negatives/underprediction...

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書誌詳細
第一著者:	Pikkanet Suttirat (13567965) (author)
その他の著者:	Sudarat Chadsuthi (3738406) (author), Charin Modchang (3738409) (author), Joacim Rocklöv (296647) (author)
出版事項:	2025
主題:	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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Temporal and spatial evaluation of XGBoost model predictions across Thai provinces (2007–2022).

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