title: Why testing error rate increases at high values of K in KNN algorithm?
body: <p>I am getting the error rates like this up to 20 values what might be the reason for this ?
   k_values: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20]
  Error [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0020000000000000018, 0.0020000000000000018, 0.0020000000000000018, 0.0020000000000000018,0.0020000000000000018, 0.0020000000000000018, 0.006000000000000005, 0.0040000000000000036, 0.008000000000000007,0.006000000000000005, 0.010000000000000009, 0.008000000000000007, 0.014000000000000012, 0.01200000000000001] 
  these are my testing error rates</p>
  
  <p>I want to know the reason why the error rate increases with increase in k values?</p>