Table 2 Number of genes/mutations included in the final training dataset and testing dataset, and the actual number of resistant and susceptible mutations included in both training and test dataset.

From: Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis

Drug

Gene

Training set

Testing set

Resistant

Susceptible

Total

Resistant

Susceptible

Total

Rifampin

rpoB

40

52

92

10

12

22

Isoniazid

InhA

8

14

22

2

3

5

katG

108

92

201

27

23

50

Pyrazinamide

pncA

112

81

193

27

21

48

Fluoroquinolones

gyrA

25

33

58

6

8

14

gyrB

23

17

40

5

4

9