Update app.py

app.py

@@ -52,7 +52,7 @@ model.fit(X_train, y_train)
 y_pred = model.predict(X_test)
 
 # Evaluating the model
-#mse = mean_squared_error(y_test, y_pred)
+
 r2 = r2_score(y_test, y_pred)
 
 print(f"Mean Squared Error: {mse}")