# KNN classifier model
knn = KNeighborsClassifier()

# K-fold (k=5)
scores = cross_val_score(knn, data, target, cv=5, scoring='accuracy')

# Results
print("Accuracy: %0.2f (+/- %0.2f)" % (scores.mean(), scores.std() * 2))