Update weighted ownership calculation in predict_dupes.py: adjust the multiplication factor for ownership values and change the return value to a larger scale, enhancing the accuracy of percentage representation in ownership metrics.

global_func/predict_dupes.py

@@ -29,13 +29,13 @@ def calculate_weighted_ownership(row_ownerships):
     avg_of_means = sum(value_means) / len(row_ownerships)
     
     # Multiply by count of values
-    weighted = avg_of_means * len(row_ownerships)
+    weighted = avg_of_means * (len(row_ownerships) * 1)
     
     # Subtract (max - min)
     weighted = weighted - (row_ownerships.max() - row_ownerships.min())
     
     # Convert back to percentage form to match input format
-    return weighted * 100
+    return weighted * 10000
 
 def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, strength_var, sport_var):
     if strength_var == 'Weak':