Table 5. Overall model performance average in terms of AUC-ROC.
Model | AUC |
---|---|
Random Forests | 0.76 ± 0.05 |
Boosted Trees | 0.75 ± 0.04 |
Partial Least Square | 0.75 ± 0.04 |
GLMNet | 0.75 ± 0.04 |
Support Vector Machines | 0.72 ± 0.07 |
Neural Network | 0.71 ± 0.06 |
GLM | 0.71 ± 0.06 |
k-NN | 0.67 ± 0.09 |