Figure3

Estimating the performance of a material in its service space via Bayesian active learning: a case study of the damping capacity of Mg alloys

Figure 3. Pearson correlation and relative influence of features. (A). Graphical representation of Pearson correlation matrix for the 24 material features. Blue and red indicate positive and negative correlations, respectively. The darker the tone and the larger the circle, the more significant the corresponding correlation. (B). Relative influence of features according to gradient boosting, which indicates the impact of features on the property. These features are preselected by Pearson filtering.

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