Python TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
<p>Hi I have a kNN implementation in Python and I am getting some syntax errors given below. The code is given later in the post.</p>

<pre><code>Traceback (most recent call last):
  File "C:\Users\user\Desktop\knn test\knn.py", line 76, in &lt;module&gt;
     main()
   File "C:\Users\user\Desktop\knn test\knn.py", line 63, in main
    print ("Train set: ") + repr(len(trainingSet))
 TypeError: unsupported operand type(s) for +: 'NoneType' and 'str'
</code></pre>

<p>I am running Python 3. Can anyone tell me what to edit in the code so the I get the correct outputs?     </p>

<pre><code>import csv
import random
import math
import operator

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])


def euclideanDistance(instance1, instance2, length):
    distance = 0
    for x in range(length):
        distance += pow((instance1[x] - instance2[x]), 2)
    return math.sqrt(distance)

def getNeighbors(trainingSet, testInstance, k):
    distances = []
    length = len(testInstance)-1
    for x in range(len(trainingSet)):
        dist = euclideanDistance(testInstance, trainingSet[x], length)
        distances.append((trainingSet[x], dist))
    distances.sort(key=operator.itemgetter(1))
    neighbors = []
    for x in range(k):
        neighbors.append(distances[x][0])
    return neighbors

def getResponse(neighbors):
    classVotes = {}
    for x in range(len(neighbors)):
        response = neighbors[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, predictions):
    correct = 0
    for x in range(len(testSet)):
        if testSet[x][-1] == predictions[x]:
            correct += 1
    return (correct/float(len(testSet))) * 100.0

def main():
    # prepare data
    trainingSet=[]
    testSet=[]
    split = 0.67
    loadDataset('C:/Users/user/Desktop/knn test/text.txt', split, trainingSet, testSet)
    print ("Train set: ") + repr(len(trainingSet))
    print ("Test set: ") + repr(len(testSet))
    # generate predictions
    predictions=[]
    k = 3
    for x in range(len(testSet)):
        neighbors = getNeighbors(trainingSet, testSet[x], k)
        result = getResponse(neighbors)
        predictions.append(result)
        print('&gt; predicted=' + repr(result) + ', actual=' + repr(testSet[x][-1]))
    accuracy = getAccuracy(testSet, predictions)
    print('Accuracy: ' + repr(accuracy) + '%')

main()
</code></pre>