Table 11.

Performance results for the multi-layer perceptron algorithm on each of the outer cross-validation test sets, for the male sample.

Model	MAEa (years)	Accuracy	AUCb	RMSEc (years)	Recall	Precision
1 (median)	0.95	0.33	0.83	1.29	0.91	0.48
2	1.08	0.30	0.85	1.40	073	0.35
3	0.89	0.32	0.84	1.17	0.17	1.00
4	0.91	0.33	0.83	1.23	0.83	0.59
5	1.05	0.35	0.84	1.49	0.42	0.83

^aMAE: mean absolute error.

^bAUC: area under the curve.

^cRMSE: root mean squared error.