Table 1. Summary of model building for all methods tested.
Model | SNP Dataset | Input SNPs | Model Length* | Accuracy | Sensitivity | Specificity | AUC |
---|---|---|---|---|---|---|---|
BSWiMS | Top100 | 100 | 32 | 0.686 | 0.626 | 0.734 | 0.680 |
T1k | 1,106 | 55 | 0.699 | 0.609 | 0.770 | 0.690 | |
GALGO | Top100 | 100 | 49 | 0.720 | 0.616 | 0.800 | 0.708 |
T1k | 1,106 | 42 | 0.726 | 0.626 | 0.806 | 0.716 | |
LASSO | Top100 | 100 | 71 | 0.766 | 0.663 | 0.825 | 0.744 |
T1k | 1,106 | 433 | 0.801 | 0.798 | 0.804 | 0.801 |
*The number of features included in the generated model.