Table 4.

Model learning results when using only disease diagnostic data.

Age range (years)	Classifier	Parameters	Accuracy	Precision	Recall	F1 score
Up to 1	Random forest	n estimators: 16	0.703	0.639	0.703	0.660
Up to 2	Random forest	n estimators: 64	0.758	0.718	0.758	0.725
Up to 3	Random forest	n estimators: 64	0.800	0.778	0.800	0.776
Up to 4	Random forest	n estimators: 64	0.816	0.798	0.816	0.796
Up to 5	Random forest	n estimators: 64	0.818	0.787	0.818	0.796
Up to 6	Random forest	n estimators: 128	0.852	0.833	0.852	0.834
Up to 7	Random forest	n estimators: 64	0.836	0.805	0.836	0.813
Up to 8	Random forest	n estimators: 64	0.850	0.836	0.850	0.835
Up to 9	Random forest	n estimators: 128	0.854	0.837	0.854	0.838
Up to 10	Random forest	n estimators: 128	0.852	0.832	0.852	0.836
Up to 11	Random forest	n estimators: 64	0.873	0.854	0.873	0.856
Up to 12	Random forest	n estimators: 128	0.864	0.866	0.864	0.863
Up to 13	Random forest	n estimators: 64	0.922	0.929	0.922	0.914