Table 3

Sensitivities and specificities of the swine flu classifier combinations
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 C1C2 0.626 0.633 0.162 0.991 0.994 0.010
3 ¬C1C2 0.116 0.101 0.088 0.938 0.947 0.047
4 C2 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 C1 0.840 0.859 0.119 0.870 0.875 0.078
7 C1C2)∨(C1∧¬C2) 0.330 0.340 0.124 0.817 0.821 0.079
8 C1C2 0.957 0.974 0.050 0.808 0.813 0.087
9 ¬(C1C2) 0.043 0.026 0.050 0.192 0.187 0.087
10 (C1C2)∨¬(C1C2) 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 ¬C1C2 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 ¬(C1C2) 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

SD: Standard Deviation.

Optimal combination using ranking criteria 1, 2 and 3.

Optimal combination using ranking criterion 4.

Keith et al.

Keith et al. BMC Bioinformatics 2012 13:179   doi:10.1186/1471-2105-13-179

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