title: How to get training accuracy in svmlight with cross validation
body: <p>I want to run cross validation on my training set using SVMlight. It seems that the option for this is -x 1 (although I'm not sure how many folds it implements...). The output is:</p>
  
  <pre><code>XiAlpha-estimate of the error: error&lt;=31.76% (rho=1.00,depth=0)
  XiAlpha-estimate of the recall: recall=&gt;68.24% (rho=1.00,depth=0)
  XiAlpha-estimate of the precision: precision=&gt;69.02% (rho=1.00,depth=0)
  Number of kernel evaluations: 56733
  Computing leave-one-out **lots of gibberish here**
  Retrain on full problem..............done.
  Leave-one-out estimate of the error: error=12.46%
  Leave-one-out estimate of the recall: recall=86.39%
  Leave-one-out estimate of the precision: precision=88.82%
  Actual leave-one-outs computed:  412 (rho=1.00)
  Runtime for leave-one-out in cpu-seconds: 0.84
  </code></pre>
  
  <p>How can I get the accuracy? From the <code>estimate of the error</code>?</p>
  
  <p>Thank you!</p>