How do we find validation error of linear regression and elastic-net using Scikit-learn and python?
<p>When do we use test set and validation set while calculating errors?
 I have linear regression and elastic-net models working. I am new to Machine learning with Scikit-learn and Python.</p>

<p><strong>I am trying to solve this problem.</strong>
<a href="http://i.stack.imgur.com/HsQ0F.png" rel="nofollow">Data Set: UCI Machine Learning Forest Fire data</a></p>

<p>You can use the test set when you build the model by use the method of minimizing the errors.After you build the model, you can calculate the actual error by using the validation set and then use the error to correct the parameter.I hope this can help you.</p>

python machine-learning scikit-learn linear-regression