Figure 2 | Scientific Reports

Figure 2

From: Improving deep learning model performance under parametric constraints for materials informatics applications

Figure 2

Impact of input representation on the accuracy of BRNet. The x-axis shows the dataset size on a log scale, and the y-axis shows the percentage change in MAE of the model trained using composition-based elemental fraction as input w.r.t. the model trained using composition-based physical attributes as input (calculated as ((MAE\(_{EF}\)/MAE\(_{PA})-1\)) \(\times\) 100\(\%\)).

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