Table 6.
Summary of the performance of each algorithm using CGH microarray data for the Sakai sequenced strain. The sensitivity, specificity, and M-score generated from each of the cut-off algorithms from the CGH data were summarized for comparison
| Algorithm | M-Score | Sensitivity | Specificity |
| Naive Cut-off (0.20) | 99.48 | 99.66 | 97.13 |
| MKD*** | 99.39 | 99.45 | 98.80 |
| Mixture Model (trimodal) | 99.39 | 99.44 | 98.80 |
| Porwollik | 99.13 | 99.07 | 98.76 |
| GACK** EPP = 0 | 98.85 | 98.78 | 99.76 |
| GENCOM* | 98.43 | 98.34 | 99.52 |
* Institute of Food Research method (GENCOM)
** Genotyping Analysis by Charlie Kim method (GACK)
*** Minimum Kernel Density method (MKD)