fig3

ABC<sub>2</sub>-type short-wave infrared photodetector materials discovered via high-throughput screening and machine learning

Figure 3. ML model training and prediction results. (A) The bandgap distribution of the 1,327 materials; (B) Test set performance (R2, MAE, MSE) for the five base ML models; (C) Fitting plot of the training and test set. prediction results for the best model, XGBR. ML: Machine learning; R2: coefficient of determination; MAE: mean absolute error; MSE: mean squared error; XGBR: extreme gradient boosting regressor.

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