Table 2. PPV using different inputs features.
Features |
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16 Predictions | 0.57 | 0.67 |
16 Predictions + Separation | 0.59 | 0.68 |
16 Predictions + SS | 0.57 | 0.70 |
16 Predictions + PSSM | 0.59 | 0.70 |
16 Predictions + RSA | 0.59 | 0.71 |
16 Predictions + all features | 0.61 | 0.73 |
Impact of different feature combinations on PPV values for first and fifth layer of deep learning.