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Table 2 Times taken in minutes to train the models on each dataset and generate the prediction maps

From: Comparison of new computational methods for spatial modelling of malaria

  

Dataset

Kenya: Observation

Africa: Observation

Africa: Simulated observation

Africa: simulated uniform

Model

INLA

0.34

69.11

11.49

7.05

 

GPBoost

0.99

11.27813

6.56

13.85

 

SpRF

0.44

24.54

24.64

27.6

 

FRK

0.35

3.28

3.41

3.09

  1. The Kenya: Observations column corresponds to the maps in Fig. 4. The Africa: Observations, Africa: Simulated observations, and Africa: Simulated uniform columns correspond to columns (i), (ii), and (iii) of Fig. 6 respectively. Note that different machines were used to run the models for the Kenya and Africa datasets
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Malaria Journal

ISSN: 1475-2875

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