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 |
2 | C1∧C2∧C3 | 0.311 | 0.307 | 0.094 | 1.000 | 1.000 | 0.000 |
4 | C2∧C3 | 0.394 | 0.384 | 0.096 | 0.999 | 0.999 | 0.001 |
6 | C1∧C3 | 0.553 | 0.544 | 0.108 | 0.997 | 0.997 | 0.001 |
18 | C1∧C2 | 0.436 | 0.433 | 0.101 | 0.998 | 0.998 | 0.001 |
24 | At least two classifiers | 0.762 | 0.772 | 0.089 | 0.994 | 0.995 | 0.003 |
64 | C2∨C3 | 0.867 | 0.870 | 0.058 | 0.932 | 0.933 | 0.021 |
96†| C1∨C3 | 0.934 | 0.939 | 0.037 | 0.894 | 0.895 | 0.025 |
120 | C1∨C2 | 0.900 | 0.910 | 0.053 | 0.904 | 0.907 | 0.025 |
128‡ | C1∨C2∨C3 | 0.969 | 0.975 | 0.021 | 0.868 | 0.869 | 0.029 |