Table 4.
LASSO | |||
---|---|---|---|
Cut-Off | Sensitivity | Specificity | NPV |
0.05 | 0.96 | 0.29 | 0.98 |
0.10 | 0.91 | 0.51 | 0.98 |
0.15 | 0.84 | 0.68 | 0.97 |
0.20 | 0.76 | 0.80 | 0.96 |
0.50 | 0.29 | 0.98 | 0.91 |
Random Forest | |||
Cut-Off | Sensitivity | Specificity | NPV |
0.05 | 0.92 | 0.48 | 0.98 |
0.10 | 0.86 | 0.69 | 0.97 |
0.15 | 0.80 | 0.79 | 0.96 |
0.20 | 0.73 | 0.85 | 0.96 |
0.50 | 0.41 | 0.97 | 0.92 |
Gradient Boosting Machines | |||
Cut-Off | Sensitivity | Specificity | NPV |
0.05 | 0.90 | 0.59 | 0.98 |
0.10 | 0.81 | 0.77 | 0.97 |
0.15 | 0.74 | 0.85 | 0.96 |
0.20 | 0.67 | 0.89 | 0.95 |
0.50 | 0.41 | 0.97 | 0.92 |
Metrics with cut-off probabilities above 0.50 are not listed as the sensitivity drops to a very low level. NPV: Negative Predictive Value.