Pearson’s correlation coefficients and normalized root mean squared errors of three algorithms on CCHF data set for 100 different training and test set splits of 81 provinces for spatial and spatiotemporal modeling scenarios.

GPR was compared against RFR and BRT using a two-sided paired t-test to check whether the predictive performances are significantly different, and p-value for each comparison was also reported. If the p-value is less than 0.05, it is typeset with the color of the winning algorithm.