From: A Bayesian method for comparing and combining binary classifiers in the absence of a gold standard
Sensitivity | Specificity | ||||||
---|---|---|---|---|---|---|---|
2K-bit code | Combination | Mean | Median | SD | Mean | Median | SD |
1 | All results are negative | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 0.000 |
2 | C1∧C2 | 0.626 | 0.633 | 0.162 | 0.991 | 0.994 | 0.010 |
3 | ¬C1∧C2 | 0.116 | 0.101 | 0.088 | 0.938 | 0.947 | 0.047 |
4 | C 2 | 0.742 | 0.760 | 0.152 | 0.928 | 0.939 | 0.054 |
5 | C1∧¬C2 | 0.214 | 0.201 | 0.127 | 0.879 | 0.885 | 0.072 |
6†| C 1 | 0.840 | 0.859 | 0.119 | 0.870 | 0.875 | 0.078 |
7 | (¬C1∧C2)∨(C1∧¬C2) | 0.330 | 0.340 | 0.124 | 0.817 | 0.821 | 0.079 |
8‡ | C1∨C2 | 0.957 | 0.974 | 0.050 | 0.808 | 0.813 | 0.087 |
9 | ¬(C1∨C2) | 0.043 | 0.026 | 0.050 | 0.192 | 0.187 | 0.087 |
10 | (C1∧C2)∨¬(C1∨C2) | 0.670 | 0.660 | 0.124 | 0.183 | 0.179 | 0.079 |
11 | ¬C1 | 0.160 | 0.141 | 0.119 | 0.130 | 0.125 | 0.078 |
12 | ¬C1∨C2 | 0.786 | 0.799 | 0.127 | 0.121 | 0.115 | 0.072 |
13 | ¬C2 | 0.258 | 0.240 | 0.152 | 0.072 | 0.061 | 0.054 |
14 | C1∨¬C2 | 0.884 | 0.899 | 0.088 | 0.062 | 0.053 | 0.047 |
15 | ¬(C1∧C2) | 0.374 | 0.367 | 0.162 | 0.009 | 0.006 | 0.010 |
16 | All results are positive | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 |