Fig. 8: Trade-off between model overfitting and extrapolability observed in this study. | npj Materials Degradation

Fig. 8: Trade-off between model overfitting and extrapolability observed in this study.

From: Unveiling the effect of composition on nuclear waste immobilization glasses’ durability by nonparametric machine learning

Fig. 8

Variation of the prediction deviation (i.e., the RMSE difference between the training and test sets) at different VHT alteration rates, based on the (a) non-overfitted and (b) slight-overfitted GPR models. The interpolation and extrapolation ranges are roughly divided according to the data distribution in the VHT dataset. Note that * represents the unit of the scaled VHT alteration rate, i.e., g/(m2·d).

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