Skip to main content
. 2022 Sep 26;11(19):5688. doi: 10.3390/jcm11195688

Table 4.

Sensitivity, specificity, and NPV by varying cut-off in Lasso, Random Forest and Gradient Boosting Machines.

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.