fig5

Linking processing parameters with melt pool properties of multiple nickel-based superalloys via high-dimensional Gaussian process regression

Figure 5. Parity plot indicating the prediction performance of GPOneStep on the test set, for different train- test ratios: (A) 80%:20%; (B) 60%:40%; (C) 40%:60%; and (D) 20%:80%. The predicted melt pool depth (Linking processing parameters with melt pool properties of multiple nickel-based superalloys via high-dimensional Gaussian process regression) is reported on the Y-axis and the true melt pool depth (δ) is on the X-axis. The red circles indicate the GP mean and the blue bars are the ±2σ bands.

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