diff --git a/Grade_Calculator.py b/Grade_Calculator.py
index 6e2347b..954231a 100644
--- a/Grade_Calculator.py
+++ b/Grade_Calculator.py
@@ -21,7 +21,7 @@ x_0 = 0.8     # Grade at which recovery rate reaches ~50% of R_max
 
 df["Recovery (%)"] = (R_max / (1 + np.exp(-k * (df["Weighted Grade (%)"] - x_0)))) / 100
 
-# === Processing Cost Estimation (Linear Regression Model) ===
+# === Processing Cost Estimation (Regression from Real Cost Model) ===
 # Processing Cost ($/t) = A + B * Grade
 # Reflects increasing cost with higher grade due to more intensive processing
 A = 12    # Fixed base processing cost ($/t)