title: Attributes do not match in rapidminer
body: <p>I successfully apply a neural net operator in rapidminer on a data set in which I have 3 columns and the 4th one the labelled one</p>
  
  <pre><code>column1|column2|column3|column4(labelled)
  data   |data   |data   |data  
  </code></pre>
  
  <p>, now I have a testing data in order <strong>to predict the value of labelled column</strong> based upon the <strong>column1, column2, column3,</strong> testing data looks like:</p>
  
  <pre><code>column1|column2|column3
  data   |data   |data   
  </code></pre>
  
  <p><strong>Question:</strong> is this correct?</p>
  
  <p>Using this approach, I created a model so that the process can predict value of <strong>unlabelled</strong> column:</p>
  
  <p><a href="https://i.stack.imgur.com/MFBoG.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/MFBoG.png" alt="With out splitting data"></a>  </p>
  
  <p>Then, using the solution in the below reference :</p>
  
  <p><a href="https://stackoverflow.com/questions/34151722/test-example-set-attributes-should-be-equal-to-or-superset-of-training-example-s#">Split data solution</a></p>
  
  <p>I again created a model using split data, for this I combined my data set for training and testing (<strong>now the combined data has some values for labelled column and some does not have this column value as this is the part of testing data</strong>).</p>
  
  <p><a href="https://i.stack.imgur.com/u1PMO.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/u1PMO.png" alt="With Splitting data"></a></p>
  
  <p><strong>But still I am getting this error.</strong></p>