Ensemble Machine Learning for Thickness‐Dependent Bandgap Prediction in Perovskite Solar Cell Thin Films
Feature attribution via SHAP, MDI, and permutation importance (PI) consistently identifies perovskite thickness, the engineered effective absorbance term (BG × Thickness × PCE), and the Br/I halide mixing ratio as the dominant predictors.