Table 13 Long range accuracy evaluation 4 with 50% less training data. Average long range accuracy values at δ = 2 resolution for the top 10, top L/10, and top L/5 contact predictions from various predictors (with our methods listed in bold font) evaluated on CASP11 targets and sorted by Top 10 accuracy scores. These models use half of the number of examples (data points) for training
From: Predicting protein residue-residue contacts using random forests and deep networks
Method | Top 10 | L/10 | L/5 |
|---|---|---|---|
CONSIP2 (94) | 71.71% | 70.18% | 67.30% |
RaptorX-Contact (94) | 61.60% | 56.80% | 55.63% |
MLiD (94) | 53.51% | 49.98% | 46.99% |
rf_full (78) | 52.31% | 52.50% | 51.59% |
rf_select (78) | 50.64% | 49.73% | 47.36% |
svm (78) | 50.00% | 47.24% | 46.26% |
DCA _cpp(88) | 47.07% | 44.10% | 40.82% |
IASL-COPE (91) | 37.58% | 34.87% | 33.70% |
MULTICOM-NOVEL (94) | 27.97% | 27.25% | 27.12% |
raghavagps-paaint (76) | 26.50% | 26.37% | 26.68% |
Pcons-net (87) | 17.72% | 18.41% | 18.93% |
FoDTcm (32) | 17.71% | 17.45% | 18.10% |
PLCT (91) | 16.87% | 17.24% | 17.08% |