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app.py

@@ -148,7 +148,7 @@ def batch_predict():
             try:
                 # Calculate derived features
                 current_year = 2025
-                store_age = current_year - int(item['Store_Establishment_Year'])
+                #store_age = current_year - int(item['Store_Establishment_Year'])
                 price_efficiency = float(item['Product_MRP']) * 0.1
                 
                 # Create DataFrame for prediction
@@ -158,11 +158,9 @@ def batch_predict():
                     'Product_Allocated_Area': float(item['Product_Allocated_Area']),
                     'Product_Type': str(item['Product_Type']),
                     'Product_MRP': float(item['Product_MRP']),
-                    'Store_Id': f'OUT{i+1:03d}',  # Unique store ID for batch
                     'Store_Size': str(item['Store_Size']),
                     'Store_Location_City_Type': str(item['Store_Location_City_Type']),
                     'Store_Type': str(item['Store_Type']),
-                    'Store_Age': store_age,
                     'Price_Efficiency': price_efficiency
                 }])