title: Machine Learning-Classifying web page as address and no-address by content
body: <p>Currently I am using azure machine learning .I train my ML with sets of data of two types they are nothing but web page content with address and without address</p>
  
  <p><strong><em>TRAINING INPUT:</em></strong></p>
  
  <pre><code>i.e)
  this is a address no 24/5    address
  this is no address    no-address 
  </code></pre>
  
  <p>I am using two-class bayesian classification to classify them should i use any other method </p>
  
  <p><strong><em>GIVEN INPUT:</em></strong></p>
  
  <pre><code>i.e)
  This a address 12/4 
  </code></pre>
  
  <p><strong><em>OBTAINED OUTPUT:</em></strong></p>
  
  <pre><code>i.e)
  content    score    probability
  This a address 12/4    no-address    0.54
  </code></pre>
  
  <p><strong><em>EXPECTED OUTPUT:</em></strong></p>
  
  <pre><code>i.e)
  content    score    probability
  This a address 12/4    address    with higher probability 
  </code></pre>
  
  <p>My experiment looks like :</p>
  
  <p><img src="https://i.stack.imgur.com/exzqV.png" alt="enter image description here"></p>