title: Supervised Machine Learning algorithms
body: <p>I am trying to classify a data using <strong>Supervised machine learning</strong> algorithms.<br><br>Everything's working fine, but just for my curiosity, I tried 6 classification algorithms simultaneously on a single data set. Steps followed are as follows-<br><br></p>
  
  <blockquote>
    <p><strong>1></strong> Train all the algorithms.<br>
    <strong>2></strong> predicted the result(<strong>either 1 or 0</strong>) for all test_data individually, by all algorithms.<br>
    <strong>3></strong> If most of the algos gave <strong>0</strong>, i considered the result for that data pair to be <strong>0</strong>, similarly for result <strong>1</strong>. <br>
    <strong>4></strong> Then i found out the overall accuracy.</p>
  </blockquote>
  
  <p><br>
  I expected the <strong>overall accuracy</strong> to be higher then the individual results(By each algorithm working individually), But i got almost the average accuracy.(Average here means average of accuracies of individual algos).<br><br>
  <strong>Can anyone please help me to find the reason?</strong></p>