Update dupes calculation in predict_dupes function to multiply ownership product by 10, refining the accuracy of duplicate predictions based on ownership metrics and Contest_Size.

global_func/predict_dupes.py

@@ -527,7 +527,7 @@ def predict_dupes(portfolio, maps_dict, site_var, type_var, Contest_Size, streng
                 print(portfolio[['Own', 'own_product', 'own_average', 'own_sum', 'avg_own_rank']].head(10))
                 
                 # Calculate dupes formula
-                portfolio['dupes_calc'] = ((portfolio['own_product'] * 100) * portfolio['avg_own_rank']) * Contest_Size + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 50) - ((50000 - portfolio['salary']) / 50)
+                portfolio['dupes_calc'] = ((portfolio['own_product'] * 10) * portfolio['avg_own_rank']) * Contest_Size + ((portfolio['salary'] - (50000 - portfolio['Own'])) / 50) - ((50000 - portfolio['salary']) / 50)
                 portfolio['dupes_calc'] = portfolio['dupes_calc'] * dupes_multiplier * (portfolio['Own'] / (100 + (Contest_Size / 1000)))
 
                 # Round and handle negative values