Table 1.

Performance of selected models in predicting attention deficit hyperactivity disorder diagnosis in the derivation and validation cohorts

	Sensitivity	Specificity	Accuracy	PPV	NPV	Kappa	Concordance
ENET-MIN all codesa
Derivation cohort	0.94	0.99	0.98	0.84	0.99	0.88	0.99
Validation cohort	0.69	0.99	0.96	0.93	0.96	0.77	0.93
ENET-MIN selected codesa
Derivation cohort	0.82	0.97	0.96	0.69	0.99	0.73	0.93
Validation cohort	0.76	0.98	0.96	0.85	0.97	0.78	0.91
Single code
Derivation cohort	0.90	0.96	0.95	0.82	0.98	0.83	0.93
Validation cohort	0.81	0.98	0.96	0.83	0.97	0.80	0.89

PPV positive predictive value, NPV negative predictive value, ENET-MIN Elastic Net model with tuning parameters minimizing cross-validation mean misclassification error

^aprior probability for models set at 0.25