Table 4. Average performance measures for different network computed using correlation reconstructions for thresholds 0 (REL), 0.4 and 0.8 with standard deviations in parentheses.
Measures | ||||||
AUPR | 0.26(0.06) | 0.19(0.07) | 0.05(0.02) | 0.24(0.06) | 0.20(0.06) | 0.06(0.01) |
AUROC | 0.74(0.02) | 0.61(0.04) | 0.51(0.01) | 0.70(0.04) | 0.61(0.03) | 0.51(0.00) |
Pr1Rec | 0.73(0.30) | 0.73(0.30) | 0.38(0.43) | 0.84(0.36) | 0.84(0.36) | 0.84(0.36) |
Pr10Rec | 0.67(0.18) | 0.67(0.17) | 0.05(0.01) | 0.73(0.15) | 0.73(0.15) | 0.05(0.01) |
Pr50Rec | 0.16(0.04) | 0.06(0.01) | 0.04(0.01) | 0.11(0.03) | 0.06(0.01) | 0.04(0.01) |
Pr80Rec | 0.06(0.00) | 0.04(0.01) | 0.04(0.01) | 0.05(0.01) | 0.04(0.01) | 0.04(0.01) |
AUPR score | 45.53 | 30.75 | 2.30 | 39.12 | 32.02 | 3.24 |
AUROC score | 17.75 | 5.63 | 0.45 | 13.48 | 5.84 | 0.52 |
Overall score | 31.64 | 18.19 | 1.38 | 26.30 | 18.93 | 1.88 |
Pr1Rec, Pr10Rec, Pr50Rec, Pr80Rec represent precision at 1%, 10%, 50%, and 80% recall when all (100) and only half of the perturbations (50) are considered.