Table 5.
The origin of the highest scoring model for each of the target sequences is analyzed
| Method | Rank 1 | Rank 2 | Rank 3 | Rank 4 to 10 |
| NN-score | 82% | 10% | 3% | 5% |
| NN-all | 48% | 12% | 7% | 33% |
| NN-combined | 42% | 11% | 8% | 39% |
| NN-noscore | 26% | 15% | 10% | 50% |
| NN-model | 57% | 14% | 5% | 25% |
In the column "rank," all models which were ranked first a prediction server is shown, in "rank 2" second highest ranked etc. Even in NN-score there are some non-first ranked models that are predicted to be better than the first ranked models; these are likely due to noise in the network and the existence of several models with almost identical scores for some targets.