Research Article
Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine
Table 4
The prediction performance comparison of PCVM with SVM.
| Model | Testing set | Accu (%) | Sens (%) | Prec (%) | MCC (%) |
| PCVM | 1 | 96.83 | 97.37 | 96.44 | 93.85 | 2 | 96.33 | 97.33 | 95.22 | 92.93 | 3 | 96.33 | 96.86 | 96.02 | 92.93 | 4 | 96.60 | 96.85 | 96.33 | 93.44 | 5 | 96.64 | 97.75 | 95.19 | 93.11 | Average | 96.55 ± 0.2 | 97.23 ± 0.3 | 95.84 ± 0.5 | 93.25 ± 0.3 |
| SVM | 1 | 94.46 | 93.68 | 95.36 | 89.53 | 2 | 93.70 | 90.32 | 96.46 | 88.13 | 3 | 93.92 | 92.49 | 95.49 | 88.58 | 4 | 92.76 | 91.99 | 93.33 | 86.56 | 5 | 93.53 | 92.99 | 93.92 | 87.89 | Average | 93.67 ± 0.6 | 92.29 ± 1.2 | 94.91 ± 1.2 | 88.13 ± 1.0 |
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