Transmission risk of Oropouche fever across the Americas

Table 1 Performance metrics of hypervolumes in the environmental space

Environmental predictors	Model calibration region	Mean performance in E (SD)		Total volume
Environmental predictors	Model calibration region	OC-SVM	Convex hulls	OC-SVM	Convex hulls
PCs prop. = 95%	Centroid based buffer	0.70 (0.12)	0.54 (0.17)	80.25	87.16
PCs prop. = 95%	South America	0.68 (0.11)	0.56 (0.18)	50.55	61.04
PCs prop. = 96%	Americas	0.76 (0.15)	0.45 (0.19)	20.04	15.32
Climates	Centroid based buffer	0.74 (0.11)	0.44 (0.17)	8,426,855	10,131,022
Climates	South America	0.74 (0.13)	0.48 (0.20)	8,444,272	10,131,022
Climates	Americas	0.72 (0.13)	0.51 (0.18)	8,507,409	10,131,022

Performance metrics for one-class support vector machines (OC-SVM) and convex hulls hypervolumes were measured in the environmental (E) space using three different model calibration regions and two categories of environmental predictors. Best performing model in bold. SD Standard deviation, PCs Principal components, Prop. Cumulative proportion of the three principal components used for model calibration

ISSN: 2049-9957