title: How to use MLP (Multilayer Perceptron) in R?
body: <p>I want to train my data using multilayer perceptron in R and see the evaluation result like 'auc score'. There is a package named "monmlp" in R, however I don't know how to use it correctly. </p>
  
  <p>I wrote the following code</p>
  
  <pre><code>&gt; mlp.model = monmlp.fit(x, y, hidden1=3, n.ensemble=15, monotone=1, bag=T)
  ** Ensemble 1 
  ** Bagging on
  1 0.9206784 
  ** 0.9206784 
  
  ** Ensemble 2 
  ** Bagging on
  1 0.8200886 
  ** 0.8200886 
  
  ** Ensemble 3 
  ** Bagging on
  1 0.8278868 
  ** 0.8278868
  .
  .
  .
  ** Ensemble 15 
  ** Bagging on
  1 0.8186057 
  ** 0.8186057 
  
  mlp.pred &lt;- monmlp.predict(x = x, weights = mlp.model)
  </code></pre>
  
  <p>It is ok up to now, but what is next? How can I find auc score for example?</p>
  
  <p>Thanks..</p>