Table 3.

Diagnoses prediction metrics Precision@, Recall@, and AUC-ROC computed over the four dataset configurations using a Feed-Forward network

Dataset	P@1	P@2	P@3	R@10	R@20	R@30	AUC-ROC
A (0.7 & α)	0.732	0.671	0.624	0.382	0.563	0.677	0.901
B (0.7 & β)	0.742	0.679	0.631	0.387	0.570	0.683	0.905
C (0.9 & α)	0.729	0.672	0.627	0.385	0.567	0.681	0.903
D (0.9 & β)	0.750	0.688	0.638	0.392	0.576	0.689	0.911

Highest marks in boldface