You are designing a K-NN classifier for a 2-class problem . Which of the following is the best practice for choosing k and initializing the classifier in Python?

Question

You are designing a K-NN classifier for a  2-class problem . Which of the following is the  best practice  for choosing  k  and initializing the classifier in Python?

Answer

Choose k randomly; 
 from sklearn.linear_model import LogisticRegression 
 model = LogisticRegression()

Answer

Choose an odd k to reduce tie votes; 
 from sklearn.neighbors import KNeighborsClassifier 
 model = KNeighborsClassifier(n_neighbors=5)

Answer

Choose k as a multiple of number of classes; 
 from sklearn.svm import SVC 
 model = SVC()

Answer

Choose an even k to balance votes; 
 from sklearn.neighbors import KNeighborsClassifier 
 model = KNeighborsClassifier(n_neighbors=4)

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You are designing a K-NN classifier for a 2-class problem . Which of the follow...

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