Fig. 3. (a) Heat map of the Pearson correlation coefficient matrix between the selected features. (b) Importance ranking of the top 20 features. Three-dimensional (3D) spatial visualization of (c) the original data and (d) the data after feature engineering and data processing. Feature1, Feature2, and Feature3 represent the values of the corresponding three features of the dataset after dimensionality reduction. The different material sample point colors represent the Feature1 values.
