Figure 1
From: Novel risk genes for systemic lupus erythematosus predicted by random forest classification
Prediction accuracy. Prediction accuracy measured by the area under the curve (AUC) using genotype data from the Immunochip. All data from 1,160 SLE patients and 2,711 controls were used for the prediction of SLE disease status by random forests (RF) and using a risk score based on the single SNP association analysis. The random forest classification was also applied to the subgroup of the SLE patients diagnosed with lupus nephritis (n = 274) together with all control samples.
