The ensembled model fit metrics for the five participating modelling methods and for the final ensemble model for estimation of habitat suitability of the Big Four species. A total of five model algorithms were used with the threshold of < 0.75 AUC score. AUC: Area under Curve, ΔAUC: Change in Area under curve (Training – Cross Validation), PCC: Proportion Correctly Classified, TSS: True Skill Statistic.

<p>The ensembled model fit metrics for the five participating modelling methods and for the final ensemble model for estimation of habitat suitability of the Big Four species. A total of five model algorithms were used with the threshold of < 0.75 AUC score. AUC: Area under Curve, ΔAUC: Cha...

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Bibliographic Details
Main Author:	Imon Abedin (22170820) (author)
Other Authors:	Hey-Eun Kang (22170823) (author), Hemanta Saikia (22170826) (author), Won-Kyo Jung (15236423) (author), Hyun-Woo Kim (613243) (author), Shantanu Kundu (103535) (author)
Published:	2025
Subjects:	Biotechnology Ecology Infectious Diseases Computational Biology Environmental Sciences not elsewhere classified protect vulnerable regions next five decades naja naja </ may potentially increase echis carinatus </ daboia russelii </ bungarus caeruleus </ big four species suitable habitats along potentially suitable habitats present health infrastructure chitradurga etc .) counter climate change upcoming vulnerable districts envenomation risks effectively current climatic conditions climate change scenarios future climatic scenarios climate change shifting habitats health risk jamnagar etc golaghat etc socioeconomic scenarios xlink "> targeted interventions study developed south asia significantly impact risk index potential loss notable shifts notable human northeastern region local governments increased risk including assam high vulnerability healthcare data geographical distribution future needs devbhumi dwarka combat fatalities biogeographic distribution also highlighting affected country >) envenomation
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