Table 3 The performances of different methods on test dataset II
From: Class similarity network for coding and long non-coding RNA classification
Method | Sp (%) | Sn (%) | Acc (%) | Pre | F1-score |
|---|---|---|---|---|---|
mRNN | 95.33 | 97.29 | 97.06 | 0.9938 | 0.9832 |
LncRNAnet | 97.85 | 96.71 | 96.84 | 0.9971 | 0.9819 |
RNAsamba | 94.14 | 98.82 | 98.28 | 0.9923 | 0.9902 |
LncFinder | 96.77 | 96.57 | 96.60 | 0.9957 | 0.9805 |
CPPred | 97.37 | 97.15 | 97.17 | 0.9965 | 0.9838 |
DeepCPP | 1 | 22.73 | 31.63 | 1 | 0.3704 |
Class Similarity Network | \({\underline{99.29}}\) | \({\underline{97.31}}\) | \({\underline{97.54}}\) | \({\underline{0.9990}}\) | \({\underline{0.9860}}\) |