Figure7

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

Figure 7. Comparing the SISSO and MLR-based formulae to the "mean" formula (based on three features) on different testing datasets. (A) MSE and (B) MAE. SISSO: Sure independence screening and sparsifying operator; MLR: multiple linear regression; MSE: mean squared error; MAE: mean absolute error.

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