Summary of model performance metrics and features for dengue incidence prediction three months in advance for the baseline model, the ensemble model, and the five individual models included in the ensemble, aggregated across the Mekong Delta Region districts, 2012-2016. Lower CRPS indicates better accuracy, while bias closer to zero suggests closer alignment with observed values, and lower diffuseness reflects more precise predictions. Weight is the weight each of the five individual models contributed to the ensemble.
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https://figshare.com/articles/dataset/Summary_of_model_performance_metrics_and_features_for_dengue_incidence_prediction_three_months_in_advance_for_the_baseline_model_the_ensemble_model_and_the_five_individual_models_included_in_the_ensemble_aggregated_across_the_Mekong_Delta_R/30238993
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Summary of model performance metrics and features for dengue incidence prediction three months in advance for the baseline model, the ensemble model, and the five individual models included in the ensemble, aggregated across the Mekong Delta Region districts, 2012-2016. Lower CRPS indicates better accuracy, while bias closer to zero suggests closer alignment with observed values, and lower diffuseness reflects more precise predictions. Weight is the weight each of the five individual models contributed to the ensemble.
创建时间：
2025-09-29
