Test |
p
KS
|
R
1
|
R
5
| Sensitivity | Specificity | AUC |
|---|
NEAT |
0.399
| 1.33 |
1.14
|
69 %
|
94 %
|
0.920
|
NEA | 0.001 | 0 |
0.87
|
68 %
|
96 %
|
0.918
|
LP | 0 | 2.13 | 1.51 |
68 %
| 92 % | 0.908 |
LA |
0.255
| 1.60 | 1.17 | 60 % |
94 %
| 0.897 |
LA+S |
0.409
| 1.87 | 1.17 | 63 % |
94 %
| 0.913 |
NP | 0.037 |
1.24
| 1.28 | 58 % |
94 %
| 0.884 |
- The best results for each indicator are in bold. p
KS denotes the p-value of the Kolmogorov-Smirnov test for uniform distribution, AUC is an abbreviation for “area under the ROC curve”. The distribution of p-values under H
0 is evidently not uniform for NEA and LP. NEAT shows the highest values of sensitivity and AUC, and its specificity is close to the target value (95 %)
