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Table 7 Q8 prediction using the ensemble model on the CB513 dataset

From: Prediction of 8-state protein secondary structures by a novel deep learning architecture

Q8 Label precision recall
  eCRRNN* CRRNN NCCNNa DCRNNa eCRRNNa CRRNN NCCNNa DCRNNa
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
  1. aindicates ensemble model
  2. Boldface numbers indicate best performance