Figure 5From: Development and validation of a classification approach for extracting severity automatically from electronic health records CAESAR error rates. Error rates for CAESAR’s random forest classified are depicted with severe denoted by the green line, mild denoted by the red line and out-of-bag (OOB) error denoted by the black line. CAESAR achieved a sensitivity = 91.67 and specificity = 77.78 indicating that it was able to discriminate between severe and mild phenotypes. CAESAR was able to detect mild phenotypes better than severe phenotypes.Back to article page