TABLE 4.

Performance metrics of the final risk model applied to the replication cohort. Sensitivity = number predicted to have disease, as a proportion of those with actual disease; Specificity = number predicted to have no disease, as a proportion of those with no actual disease; Precision = number with actual disease, as a proportion of those predicted to have disease; Misclassification/error rate = number of false positive and false negatives, as a proportion of the grand total; Accuracy = number of true positives and true negatives, as a proportion of the grand total; F1 score = harmonic mean of precision and sensitivity [possible range 0.0–1.0]; AUC = area under the curve, an overall measure of model performance [possible range 0.5–1.0].

	Value	95% Confidence Interval	P-Value
Sensitivity	0.786	0.723, 0.842	<< 0.0001
Specificity	0.724	0.706, 0.741	<< 0.0001
Precision	0.179	0.154, 0.206	<< 0.0001
Error Rate	0.272	0.255, 0.289	<< 0.0001
Accuracy	0.728	0.711, 0.745	<< 0.0001
F1 score	0.291	0.256, 0.326	<< 0.0001
AUC	0.755	0.725, 0.785	<< 0.0001