Table 10 Predicted values by XGB.

From: Predictive modeling of asthma drug properties using machine learning and topological indices in a MATLAB based QSPR study

Drugs

BP

VP

EV

FP

MR

C

LogP

Pol

MV

MW

a

750.4

2.5

114.7

407.6

173.6

890.9

7.7

68.8

460.7

586.18

b

573.7

3.5

98.6

314.8

94.0

763.9

1.6

37.3

273.5

358.43

c

571.7

3.5

98.5

313.6

100.1

754.0

1.9

39.6

291.5

374.47

d

568.2

3.5

98.0

297.5

100.1

804.9

1.8

39.6

296.1

392.46

e

419.1

1.0

70.9

165.2

63.1

205.0

0.4

25.0

192.3

225.28

f

433.5

1.0

72.6

159.5

67.8

226.9

0.01

26.9

207.6

239.31

g

454.0

1.0

71.4

228.3

43.0

266.9

− 0.16

17.0

122.9

180.16

h

407.7

1.9

72.3

200.3

38.3

148.0

− 0.14

15.2

126.0

163.19

i

646.6

1.3

100.1

344.8

128.7

466.0

2.97

50.9

387.4

486.42

j

640.5

1.9

99.4

341.2

132.4

657.9

5.24

52.4

394.7

461.55

k

413.8

1.0

66.7

204.0

84.6

255.9

5.08

33.6

238.9

376.13

l

600.2

3.8

102.4

316.8

105.0

804.9

2.04

41.5

302.6

408.92

m

664.9

4.5

111.8

210.0

144.4

1099.9

6.12

57.2

436.9

540.69