fig3

Discovering polyimides and their composites with targeted mechanical properties through explainable machine learning

Figure 3. Predictive performance of the best model for each mechanical property across the PI-H and PI-F datasets: (A) ε for the PI-H dataset using RFR; (B) σ for the PI-H dataset using the GBR; (C) Et for the PI-H dataset using GBR; (D) ε for the PI-F dataset using GBR; (E) σ for the PI-F dataset using GBR; (F) Et for the PI-F dataset using GBR. RFR: Random forest regression; GBR: gradient boosting regression.

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