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Table 7 Comparison of models predicting the presence of larval habitats in Aduoyo-Miyare and Nguka

From: Modeling larval malaria vector habitat locations using landscape features and cumulative precipitation measures

Method of optimizing

AUC

Sensitivity

Specificity

PCC

Kappa

RF: TWI + DS + Soil + LULC + Precip.

0.871

0.820

0.773

0.774

0.102

RF: TWI + DS + Soil + LULC

0.827

0.659

0.936

0.930

0.268

LR: TWI + DS + Soil + Precip.

0.733

0.621

0.704

0.703

0.045

  1. Two random forest (RF) models are shown with and without Precip. (the cumulative 14-day precipitation total). The best logistic regression (LR) model is also shown. TWI, topographic wetness index; LULC, land use-land cover; DS, distance to the nearest stream; AUC, area under the receiver operating curve; PCC, percent correctly classified.
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International Journal of Health Geographics

ISSN: 1476-072X