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. 2018 Aug 3;19:293. doi: 10.1186/s12859-018-2280-5

Table 7.

Q8 prediction using the ensemble model on the CB513 dataset

Q8 Label	precision				recall
	eCRRNN*	CRRNN	NCCNN^a	DCRNN^a	eCRRNN^a	CRRNN	NCCNN^a	DCRNN^a
H	0.872	0.860	0.846	0.832	0.935	0.926	0.936	0.933
B	0.582	0.466	0.786	0.554	0.078	0.081	0.047	0.026
E	0.804	0.797	0.776	0.753	0.867	0.831	0.837	0.828
G	0.554	0.466	0.528	0.429	0.398	0.371	0.29	0.252
I	0	0	0	0	0	0	0	0
T	0.603	0.556	0.591	0.559	0.586	0.555	0.542	0.522
S	0.563	0.494	0.621	0.518	0.352	0.332	0.237	0.249
L	0.626	0.603	0.570	0.573	0.697	0.658	0.707	0.652

^aindicates ensemble model

Boldface numbers indicate best performance