Table 4 Top 15 most important variables for predicting tuberculosis screening yield (Approach 2b, CART with categorical outcome; n = 73 neighborhoods).
Importance ranking | Variable | Relative variable importance score |
|---|---|---|
1 | Percent of tuberculosis patients with a prior tuberculosis episode | 100.0 |
2 | Percent of historic tuberculosis patients that were aged 15–44 years | 62.3 |
3 | Percent of households that own a vehicle | 49.2 |
4 | Proportion of the population that is female | 32.5 |
5 | Percent of population that have completed only a primary school education | 31.4 |
6 | Percent of population that have any post-secondary school education | 28.2 |
7 | Historic tuberculosis case notification rate | 27.6 |
8 | Percent of population that worked for pay in the past week | 27.1 |
9 | Percent of households that own a refrigerator | 26.8 |
10 | Percent of residences that are in informal or non-permanent structures | 26.0 |
11 | Historic tuberculosis case notification rate for individuals 15–44 years old | 25.7 |
12 | Percent of historic tuberculosis patients that were aged < 15 years | 25.6 |
13 | Historic tuberculosis case notification rate for females | 24.8 |
14 | Historic tuberculosis case notification rate for individuals > 44 years old | 24.1 |
15 | Population density (population per km2) | 24.0 |
