Table 6 The range and statistical information of all features in the ML models

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

Feature

Range

Alloy composition(wt%)

Ti(7.74–92.50), V(0–35), Cr(0–30), Al(0–13.96), Si(0–3.9), C(0–0.06), Mo(0–30.39), Nb(0–37.24), W(0–45.21), Ta(0–44.82), Zr(0–35.22), Hf(0–30.18), Co(0–22.42), Ni(0–24.32), Fe(0–23.14), Sn(0–4.8), Y(0–0.1), Nd(0–0.85)

Temperature(°C)

550–1300

Oxidation time(h)

1.5–1000

Target

lnkp(−18.13–4.61)

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