Table 3 Training statistics for e_inc_100k.

From: A comparative study on TB incidence and HIVTB coinfection using machine learning models on WHO global TB dataset

Variable

mean

stdn

mino

25%p

50%q

75%r

maxs

e_inc_100kg

-6.9 × 10− 17

1.0

-0.66

-0.60

-0.41

0.19

7.87

e_pop_numh

-4.8 × 10− 18

1.0

-0.25

-0.24

-0.20

-0.09

10.81

e_tbhiv_prcti

1.8 × 10− 16

1.0

-0.78

-0.68

-0.30

0.05

5.62

e_mort_100kj

1.7 × 10− 17

1.0

-0.47

-0.46

-0.39

-0.03

9.32

cfrk

4.9 × 10− 17

1.0

-1.24

-0.63

-0.33

0.43

6.35

c_newinc_100kl

9.3 × 10− 17

1.0

-0.71

-0.61

-0.33

0.16

8.22

c_cdrm

-1.2 × 10− 16

1.0

-3.95

-0.61

0.35

0.73

8.95

  1. Table shows training statistics of e_inc_100k variable using WHO TB burden dataset published in 2023.
  2. g Estimated rate of all forms of TB cases per 100,000 population, h Estimated total population number, i Estimated HIV in incident TB (percent), j Estimated mortality of TB cases (all forms) per 100,000 population, k Estimated TB case fatality ratio, l Case notification rate, per 100,000 population, m Case detection rate (all forms), percent, n Standard Deviation o minimum, p First Quartile (Q1), q Median (Q2), r Third Quartile (Q3), s maximum.
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