fig4

Uncertainty estimation affects predictor selection and its calibration improves materials optimization

Figure 4. The change of scaling factor r with resampling iterations, using the Ni-based dataset as an example. (A) The SVR model; (B) The XGBoost model; (C) The NN model. SVR: Support vector regression; XGBoost: extreme gradient boosting; NN: neural network.

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