Functions to compute SHAP values with warnings about correlated features. High correlations between features can make SHAP values misleading because: 1. Importance can be arbitrarily split between correlated features 2. SHAP values may not reflect true causal relationships 3. Removing one correlated feature could dramatically change others' SHAP values