Springer Nature
Browse
12939_2019_1054_MOESM2_ESM.docx (3.55 MB)

MOESM2 of Predicting poverty. Data mining approaches to the health and demographic surveillance system in Cuatro Santos, Nicaragua

Download (3.55 MB)
journal contribution
posted on 2019-10-30, 18:14 authored by C. Källestål, E. Blandón Zelaya, R. Peña, W. Peréz, M. Contreras, L. Persson, O. Sysoev, K. Ekholm Selling
Additional file 2: Figure S2. Conditional random forest plot ranking the relative importance (x-axis) of the 10 predictors with highest relative importance (y-axis), when assets were removed as candidate predictors, with regard to their ability to explain the presence of poverty in a household (2–4 unsatisfied basic needs) in Cuatro Santos, Nicaragua.

Funding

Swedish Research Council

History