feat: Updated mape calculation

app.py

@@ -459,10 +459,14 @@ elif page == "🕵️ Análisis de Cliente":
                     actual = datos_2024['ventas_reales']
                     predicted = datos_2024['ventas_predichas']
 
+                    def calculate_mape(y_true, y_pred):
+                        mask = y_true != 0
+                        return np.mean(np.abs((y_true[mask] - y_pred[mask]) / y_true[mask])) * 100
+
                     mae = mean_absolute_error(actual, predicted)
                     mse = mean_squared_error(actual, predicted)
                     rmse = np.sqrt(mse)
-                    mape = np.mean(np.abs((actual - predicted) / actual)) * 100
+                    mape = calculate_mape(actual, predicted)
                     smape = np.mean(2 * np.abs(actual - predicted) / (np.abs(actual) + np.abs(predicted))) * 100
 
                     # Display metrics