Table 5.
Measure | H | L R F | L R R | g P S A | g P S W | g P S WT | g P S MWS |
---|---|---|---|---|---|---|---|
Sensitivity | 1 | 0.20, 0.70 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.10 | 0.00, 0.20 |
2 | 0.50, 0.90 | 0.00, 0.30 | 0.00, 0.30 | 0.00, 0.20 | 0.00, 0.20 | 0.00, 0.20 | |
3 | 0.80, 1.00 | 0.10, 0.40 | 0.10, 0.40 | 0.00, 0.30 | 0.00, 0.30 | 0.00, 0.30 | |
4 | 0.90, 1.00 | 0.20, 0.50 | 0.20, 0.50 | 0.00, 0.30 | 0.00, 0.40 | 0.00, 0.40 | |
Specificity | 1 | 0.57, 0.82 | 0.95, 1.00 | 0.95, 1.00 | 0.92, 1.00 | 0.92, 1.00 | 0.90, 0.97 |
2 | 0.57, 0.80 | 0.98, 1.00 | 0.98, 1.00 | 0.92, 1.00 | 0.95, 1.00 | 0.90, 1.00 | |
3 | 0.57, 0.82 | 0.97, 1.00 | 0.97, 1.00 | 0.95, 1.00 | 0.95, 1.00 | 0.92, 1.00 | |
4 | 0.55, 0.80 | 1.00, 1.00 | 1.00, 1.00 | 0.95, 1.00 | 0.97, 1.00 | 0.95, 1.00 | |
PPV | 1 | 0.11, 0.41 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 0.50 |
2 | 0.27, 0.53 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | |
3 | 0.33, 0.56 | 0.75, 1.00 | 0.75, 1.00 | 0.00, 1.00 | 0.00, 1.00 | 0.00, 1.00 | |
4 | 0.36, 0.56 | 1.00, 1.00 | 1.00, 1.00 | 0.00, 1.00 | 0.33, 1.00 | 0.00, 1.00 | |
NPV | 1 | 0.76, 0.90 | 0.79, 0.83 | 0.79, 0.83 | 0.79, 0.83 | 0.79, 0.82 | 0.78, 0.83 |
2 | 0.84, 0.97 | 0.80, 0.85 | 0.80, 0.85 | 0.79, 0.83 | 0.79, 0.83 | 0.79, 0.83 | |
3 | 0.92, 1.00 | 0.81, 0.87 | 0.82, 0.87 | 0.79, 0.85 | 0.80, 0.85 | 0.79, 0.85 | |
4 | 0.96, 1.00 | 0.83, 0.89 | 0.83, 0.89 | 0.80, 0.85 | 0.80, 0.87 | 0.79, 0.87 |
H = factor by which the outlier distributions were shifted; PPV = positive predictive value; NPV = negative predictive value