fig13

A new framework for predicting tensile stress of natural rubber based on data augmentation and molecular dynamics simulation data

Figure 13. Visualization of the comparison and analysis between predicted values from five regression algorithms and the true values in the test set. The corresponding algorithms are as follows: (A) GBR; (B) SVR; (C) LASSO; (D) ANN; and (E) BRR. GBR: Gradient Boosting Regression; SVR: Support Vector Regression; LASSO: Least Absolute Shrinkage and Selection Operator; ANN: Artificial Neural Networks; BRR: Bayesian Ridge Regression.

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

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/