fig6
![Machine learning-guided design and development of metallic structural materials](https://image.oaes.cc/9eb85ff8-fb19-4e88-b878-35307a4b2836/4468.fig.6.jpg)
Figure 6. Predicting γ′ solvus temperature based on different machine learning algorithms: (A) ordinary least squares; (B) decision tree regression; (C) RF regression; (D) support vector machine regression.
Figure 6. Predicting γ′ solvus temperature based on different machine learning algorithms: (A) ordinary least squares; (B) decision tree regression; (C) RF regression; (D) support vector machine regression.
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