Which of the following statements about regularization is not correct?

Machine Learning - Quiz(MCQ)

Using too large a value of lambda can cause your hypothesis to overfit the data

Using too large a value of lambda can cause your hypothesis to underfit the data.

Using a very large value of lambda cannot hurt the performance of your hypothesis.

None of the above

Correct Answer : Option (D) : None of the above

Explanation : A large value results in a large regularization penalty and therefore, a strong preference for simpler models, which can underfit the data.

Recently Updated in Machine Learning Questions

Machine Learning has various function representation, which of the following is not numerical functions?

Case-based

Neural Network

Linear Regression

Support Vector Machines

Correct Answer : Option (A) : Case-based

The prior goal of unsupervised learning model is to determine the ________ .

Discuss

Regression task

Data patterns

Classification task

Correct Answer : Option (C) : Data patterns

Which of the following will be true about k in K-Nearest Neighbor in terms of Bias?

When you decrease the k the bias will be increases

When you increase the k the bias will be increases

Both (A) and (B)

None of the Above

Correct Answer : Option (B) : When you increase the k the bias will be increases

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