| AUC of 5-fold nested cross-validation | Average AUC |
---|---|---|
Model with 16 features | 0.719, 0.539, 0.587, 0.768, 0.748 | 0.672 |
Model with 13 features | 0.750, 0.725, 0.533, 0.707, 0.747 | 0.692 |
Model with 11 features | 0.750, 0.725, 0.533, 0.798, 0.747 | 0.709 |
Model with 10 features | 0.750, 0.758, 0.533, 0.788, 0.747 | 0.715 |
Model with 9 features | 0.739, 0.725, 0.546,0.778, 0.808 | 0.719 |