From: Predicting protein residue-residue contacts using random forests and deep networks
Method | Top 10 | L/10 | L/5 |
---|---|---|---|
CONSIP2 (94) | 36.73% | 38.14% | 35.97% |
RaptorX-Contact (94) | 32.45% | 29.04% | 26.58% |
DCA_cpp (88) | 32.07% | 28.15% | 24.79% |
MLiD (94) | 27.23% | 23.70% | 20.59% |
rf_full (78) | 25.00% | 21.80% | 18.98% |
IASL-COPE (91) | 24.80% | 20.70% | 19.44% |
rf_select (78) | 22.82% | 19.94% | 18.41% |
MULTICOM-NOVEL (94) | 18.44% | 17.42% | 17.43% |
svm (78) | 17.69% | 14.88% | 13.36% |
sda_Ensemble (78) | 15.13% | 13.50% | 12.56% |
sda_unbalanced (78) | 14.07% | 11.87% | 11.45% |
Pcons-net (87) | 12.53% | 12.99% | 12.82% |
PLCT (91) | 12.01% | 12.75% | 12.69% |
sda_balanced (78) | 9.04% | 7.76% | 7.50% |
raghavagps-paaint (76) | 6.05% | 7.27% | 7.16% |
FoDTcm (32) | 1.65% | 1.46% | 1.63% |