Fig. 2

Receiver operating characteristic (ROC) curves for model fits. Result are shown for models predicting uRDT result (left column) and Inpatient Admission within the last year (right column) based on the environmental (top row), household (center row) and combined (bottom row) datasets. ROC curves for out-of-sample (OOS) predictions from 50 test-training splits are given (colored lines), along with the mean ROC curve (black line), and the mean OOS area under the curve (AUC). Diagonal dashed line shows the results of a random classifier. The environmental dataset best predicts OOS uRDT test results (mean OOS AUC = 0.736), while the combined dataset best predicts inpatient admission (mean OOS AUC = 0.683)