fig6

Automated machine learning structure-composition-property relationships of perovskite materials for energy conversion and storage

Figure 6. (A) Indicators of Pearson correlation coefficients for distinct descriptors with varying sequence numbers and stability. The horizontal axis displays the sequence number for the descriptors while the vertical axis is a reference to the relative Pearson correlation coefficient. (B) Indicators of Pearson correlation coefficients for the selected 50 distinct descriptors with varying sequence numbers and stability. The horizontal axis displays the sequence number for the descriptors while the vertical axis is a reference to the relative Pearson correlation coefficient. (C) Pearson correlation map for the selected 50 descriptors and the stability. The color bar on the right represents the correlation coefficient. (D) R2 values of GBR models are used to evaluate machine learning algorithms. There are values of descriptors on the horizontal axis, and R2 values for GBR models on the vertical axis.

Energy Materials
ISSN 2770-5900 (Online)
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