fig4

Machine learning-assisted prediction, screen, and interpretation of porous carbon materials for high-performance supercapacitors

Figure 4. Modeling the performance of N, O co-doped PCMs for single-target prediction using (A) LR, (B) RF, (C) XGBoost, and (D) LGBM. PCMs: Porous carbon materials; LR: linear regression; RF: random forest; LGBM: light gradient boosting machine.

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