| L/5 (Precision) | L/2 (Precision) | L (Precision) | MSE | Pearson coefficient |
---|
Experiment 1 | 0.699 | 0.580 | 0.446 | 1.151 | 0.979 |
Experiment 2 | 0.687 | 0.558 | 0.430 | 1.282 | 0.978 |
- MSE: average mean square error between predicted distances and true distances; Pearson coefficient: the Pearson’s correlation between predicted distance and true distance
- Experiment 1: real-value distance prediction by training real-value distance prediction and multi-class distance prediction simultaneously
- Experiment 2: real-value distance prediction by training real-value distance prediction alone. The two experiments used the same input features PLM and the same model architecture PLM_Net