Table 2.
Logistic regression | ERM Model 1: y = E + ε | ERM Model 2: y = E + EXE + ε (top 25 pairs of interaction for EXE) |
|
---|---|---|---|
AUC | 0.86±0.00 | 0.86±0.00 | 0.86±0.01 |
Accuracy | 0.78±0.01 | 0.78±0.01 | 0.79±0.01 |
Sensitivity | 0.85±0.01 | 0.84±0.02 | 0.85±0.02 |
Specificity | 0.62±0.05 | 0.64±0.05 | 0.65±0.02 |