title: Using prepared data for Sci-kit classification
body: <p>I am trying to use the <strong>Sci-kit learn python library</strong> to classify a bunch of urls for the presence of certain keywords matching a user profile. A user has name, email address ... and a url assigned to them. I have created a txt with the result of each profile data match on each link so it is in the format:</p>
  
  <pre><code>Name  Email  Address
    0     1      0      =&gt;Relavent
    1     1      0      =&gt;Relavent
    0     1      1      =&gt;Relavent
    0     0      0      =&gt;Not Relavent
  </code></pre>
  
  <p>Where the 0 or 1 signifies that the attribute was found on the page(each row is a webpage)
  How do i give this data to the sci-kit so it can use it to run a classifier? The examples i have seen all have data coming from a predefined sch-kit library such as digits or iris or are being generated in the format i already have. I just dont know how to use the data format i have to provide to the library</p>
  
  <p><em><strong>The above is a toy example and i have many more features than 3</em></strong></p>