SHAP analysis of the Baseline CSD Model. (a) Global feature importance, ranked by mean absolute SHAP value. (b) Global SHAP summary plot for all test instances. (c) and (d) respectively compare the feature attributions for False Negative (FN) and False Positive (FP) misclassifications. The analysis reveals distinct failure modes: FPs are primarily driven by high values of features like R_d and k_t, characteristic of cloud enhancement, whereas FNs are associated with moderately attenuated irradiance, highlighting the model's difficulty with ambiguous sky conditions.