title: How to reduce root mean square error for multivariable linear regression
body: <p>I am using Linear Regression from scikit learn to predict target value for this model. But Root mean square error is 765. How can i reduce root mean square error for this model?
  <a href="https://i.stack.imgur.com/dfRAY.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/dfRAY.png" alt="enter image description here"></a></p>
  
  <pre><code>clf=LinearRegression().fit(X_train,y_train)
  mse = mean_squared_error(y_test, clf.predict(X_test))
  print("MSE: %.4f" % mse)
  rmse=np.sqrt(mse)
  print("RMSE: %.4f" % rmse)   
  </code></pre>