Training set | Number of traitsa | Variant set | Accuracy | Bias | Differenceb |
---|---|---|---|---|---|
Cohort | |||||
 AUSc | 1 | 50k | 0.29 | 1.13 |  |
 AUSc | 1 | HD | 0.29 | 1.10 | 0.0 |
 AUScAUSh | 2 | 50k | 0.25 | 0.90 | − 3.5 |
 AUScOVE | 2 | 50k | 0.52 | 1.31 | 22.9 |
 AUScAUShOVE | 3 | 50k | 0.50 | 1.28 | 21.1 |
 AUScOVE | 1 | 50k | 0.50 | 0.99 | 21.8 |
 AUSc | 1 | 50k + s-tr_G | 0.34 | 1.28 | 5.6 |
 AUSc | 1 | 50k + m-tr_G | 0.38 | 1.10 | 9.0 |
 AUSc | 1 | 50k + sm-tr_G | 0.39 | 1.15 | 10.8 |
Random | |||||
 AUSc | 1 | 50k | 0.32 | 1.07 |  |
 AUSc | 1 | HD | 0.32 | 1.14 | 0.5 |
 AUScAUSh | 2 | 50k | 0.29 | 0.84 | − 3.0 |
 AUScOVE | 2 | 50k | 0.53 | 1.26 | 21.3 |
 AUScAUShOVE | 3 | 50k | 0.50 | 1.17 | 18.4 |
 AUScOVE | 1 | 50k | 0.52 | 0.93 | 20.1 |
 AUSc | 1 | 50k + s-tr_G | 0.34 | 1.17 | 1.8 |
 AUSc | 1 | 50k + m-tr_G | 0.37 | 1.10 | 5.5 |
 AUSc | 1 | 50k + sm-tr_G | 0.38 | 1.15 | 6.6 |