Table 7 The data distribution of all 19 descriptors in the dataset of ML models

From: Prediction of oxidation resistance of Ti-V-Cr burn resistant titanium alloy based on machine learning

Feature

Mean(wt%)

Standard deviation(wt%)

Median(wt%)

Range(Min-Max, wt%)

Ti

48.19

0.31

54.00

7.74–92.50

V

9.67

0.13

0

0–35.00

Cr

10.74

0.08

15.00

0–30.00

Al

3.48

0.03

3.00

0–13.96

Si

0.19

0.01

0

0–3.90

C

3.98 × 10−3

1.14 × 10−4

0

0–0.06

Mo

2.95

0.08

0

0–30.39

Nb

6.29

0.11

0

0–37.24

W

0.59

0.05

0

0–45.21

Ta

5.02

0.12

0

0–44.82

Zr

4.41

0.09

0

0–35.22

Hf

3.78

0.10

0

0–30.18

Co

1.23

0.05

0

0–22.42

Ni

1.52

0.06

0

0–24.32

Fe

1.45

0.05

0

0–23.14

Sn

0.41

0.01

0

0–4.80

Y

2.56 × 10−3

1.58 × 10−4

0

0–0.10

Nd

0.02

1.34 × 10−3

0

0–0.85

Temperature

767 °C

219 °C

650 °C

550–1300 °C