Figure4

Simple formula learned via machine learning for creep rupture life prediction of high-temperature titanium alloys

Figure 4. Extrapolation performance of the MLR models with nine features on the seven data divisions. (A) RT $$ > $$ 100 h; (B) RT $$ > $$ 150 h; (C) RT $$ > $$ 200 h; (D) RT $$ > $$ 300 h; (E) RT $$ > $$ 400 h; (F) RT $$ > $$ 700 h; and (G) RT $$ > $$ 1, 000 h. MLR: Multiple linear regression; RT: creep rupture life.

Journal of Materials Informatics
ISSN 2770-372X (Online)
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