title: PYTHON kNN algorithm error why does it giving syntax error
body: <p>not executing compiling</p>
  
  <p>on pycharm it is not working compilation error</p>
  
  <pre><code>import csv
  with open(r'C:\Users\Dell\Desktop\iris-data.csv') as csvfile:
      lines=csv.reader(csvfile)
      for row in lines:
          print(','.join(row))
  
  import csv
  import random
  def loadDataset(filename, split, trainingSet=[], testSet=[]):
      with open(filename, 'r') as csvfile:
          lines = csv.reader(csvfile)
          dataset = list(lines)
          for x in range(len(dataset) - 1):
              for y in range(4):
                  dataset[x][y] = float(dataset[x][y])
              if random.random() &lt; split:
                  trainingSet.append(dataset[x])
              else:
                  testSet.append(dataset[x])
  
  trainingSet=[]
  testSet=[]
  loadDataset(r'C:\Users\Dell\Desktop\iris-data.csv',0.66,trainingSet,testSet)
  print('Train: ' + repr(len(trainingSet)))
  print('Test: ' + repr(len(testSet)))
  
  import math
  def euclideanDistance(instance1,instance2,length):
      distance=0
      for x in range(length):
          distance+=pow((instance1[x]-instance2[x]),2)
      return math.sqrt(distance)
  
  '''data1=[2,2,2,'a']
  data2=[4,4,4,'b']
  distance=euclideanDistance(data1,data2,3)
  print('Distance:'+repr(distance))'''
  
  import operator
  def getNeighbours(trainingSet,testInstance,k):
      distance=[]
      length=len(testInstance)-1
      for x in range(len(trainingSet)):
          dist=euclideanDistance(testInstance,trainingSet[x],length)
          distance.append((trainingSet[x],dist))
      distance.sort(key=operator.itemgetter(1))
      neighbours=[]
      for x in range(k):
          neighbours.append(distance[x][0])
      return neighbours
  
  '''trainSet=[[2,2,2,'a'],[4,4,4,'b']]
  testInstance=[5,5,5]
  k=1
  neighbours=getNeighbours(trainSet,testInstance,1)
  print(neighbours)'''
  
  import operator
  def getResponse(neighbours):
      classVotes={}
      for x in range(len(neighbours)):
          response=neighbours[x][-1]
          if response in classVotes:
              classVotes[response]+=1
          else:
              classVotes[response]=1
      sortedVotes=sorted(classVotes.iteritems(),key=operator.itemgetter(1),reverse=True)
      return sortedVotes[0][0]
  
  def getAccuracy(testSet,prediction):
      correct=0
      for x in range(len(testSet)):
          if testSet[x][-1] is prediction[x]:
              correct+=1
      return(correct/float(len(testSet)))*100.0
  
  '''testSet=[[1,1,1,'a'],[2,2,2,'a'],[3,3,3,'b']]
  predictions=['a','a','a']
  accuracy=getAccuracy(testSet,predictions)
  print(accuracy)'''
  
  def main():
      trainingSet=[]
      testSet=[]
      split = 0.67
      loadDataset(r'C:\Users\Dell\Desktop\iris-data.csv', split, trainingSet, testSet)
      print 'Train set: ' + repr(len(trainingSet))
      print 'Test set: ' + repr(len(testSet))
      predictions=[]
      k = 3
      for x in range(len(testSet)):
          neighbours = getNeighbours(trainingSet, testSet[x], k)
          result = getResponse(neighbours)
          predictions.append(result)
          print('&gt; predicted=' + repr(result) + ', actual=' + repr(testSet[x][-1]))
      accuracy = getAccuracy(testSet, predictions)
      print ('Accuracy: ', accuracy)
  main()
  </code></pre>
  
  <blockquote>
    <p>File "C:/Users/Dell/PycharmProjects/regression/knnalgorithm.py", line 87
        print 'Train set: ' + repr(len(trainingSet))
                          ^
    SyntaxError: invalid syntax</p>
    
    <p>File "C:/Users/Dell/PycharmProjects/regression/knnalgorithm.py", line 87
        print 'Train set: ' + repr(len(trainingSet))
                          ^
    SyntaxError: invalid syntax</p>
  </blockquote>