Research Article
Predicting Mycobacterium tuberculosis Complex Clades Using Knowledge-Based Bayesian Networks
Table 5
Posterior probability of each rule given class for CDC-Sublineage dataset. Blanks indicate 0.
| | Class | | Haarlem | LAM | S | X | India | Manila | Vietnam |
| Rule | | | | | | | | Haarlem | 0.707 | | | | 0.015 | | | LAM | | 1.000 | | | | | | S | | | 1.000 | | 0.015 | 0.005 | 0.033 | X | | | | 1.000 | 0.015 | | 0.017 | India | | | | | 0.970 | 0.022 | 0.017 | Manila | | | | | | 0.735 | | Vietnam | | | | | | | 0.283 | No rule | 0.297 | | | | 0.015 | 0.243 | 0.700 |
|
|