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Machine Learning Practice · Quiz 2 · 4 Aug 2024 · May 2024 term

Question 16: You are working with a dataset containing 1000 samples, …

Question 16

+2 marksOne correct option

You are working with a dataset containing 1000 samples, aiming to classify them using the KNeighborsClassifier from scikit-learn. After trying an initial configuration, you observe that the model seems to be overfitting, with the following accuracies:

python
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score


# Initial Configuration
knn = KNeighborsClassifier(n_neighbors=4)
knn.fit(X_train, y_train)
train_acc = accuracy_score(y_train, knn.predict(X_train))
val_acc = accuracy_score(y_val, knn.predict(X_val))
  • Training accuracy: 98%
  • Validation accuracy: 65%

After observing such performance of the model, Which of the following values for n_neighbors would be most suitable to try next?

  1. A

    1

  2. B

    2

  3. C

    10

  4. D

    500

Show answer

Correct answer

  • C

    10

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Question 16 of 22 in the IIT Madras BS Machine Learning Practice (MLP) Quiz 2 paper sat on 4 Aug 2024, in the May 2024 term (IIT M DIPLOMA AN EXAM QDD2 4 Aug 2024). It carries 2 marks.

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