Updated the comments.

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Batuhan Berk Başoğlu 2025-05-23 11:10:19 -04:00
parent 2bc2e6d201
commit b25718ae15
Signed by: batuhan-basoglu
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@ -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)