TNF and hematoma: SHAP ranked admission GCS and hematoma volume as the most important features, followed by TNF-α and GFAP.<h4>Conclusions</h4>A multimodal Random Forest model provided good discrimination for predicting postoperative functional outcomes in surgically treated sICH, and SHAP improved interpretability by quantifying feature contributions.