fig2

Uncertainty estimation affects predictor selection and its calibration improves materials optimization

Figure 2. The performance of different models on the three datasets. (A-C) Ni-based dataset; (D-F) Fe-based dataset; and (G-I) Ti-based dataset. SVR: Support vector regression; XGBoost: extreme gradient boosting; NN: neural network.

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