From 5b31267d059d96de768a09e4c18de04f87ced3ce Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Batuhan=20Berk=20Ba=C5=9Fo=C4=9Flu?= <batuhan@basoglu.ca>
Date: Sun, 25 May 2025 23:08:38 -0400
Subject: [PATCH] Decreased k parameter for finding a proper recovery value.

---
 Grade_Calculator.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Grade_Calculator.py b/Grade_Calculator.py
index 6e2347b..ee33302 100644
--- a/Grade_Calculator.py
+++ b/Grade_Calculator.py
@@ -16,7 +16,7 @@ df = pd.DataFrame(data)
 # Recovery (%) = R_max / (1 + exp(-k * (Grade - x0)))
 # Models increasing recovery efficiency with grade using an S-curve
 R_max = 100   # Maximum theoretical recovery (%)
-k = 10        # Steepness of the logistic curve
+k = 5        # Steepness of the logistic curve
 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