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3 Machine Learning Quiz Questions with Answers explanation, Interview
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learning, classification, ridge regression, lasso regression, linear regression*

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__Machine
learning MCQ - Set 23__

__Machine learning MCQ - Set 23__

### 1. Ridge and Lasso regression are simple techniques to ________ the complexity of the model and prevent over-fitting which may result from simple linear regression.

a) Increase

b) Decrease

c) Eliminate

d) None of the above

**Click here to view answer**

### 2. How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?

a) Ridge has larger bias, larger variance

b) Ridge has larger bias, smaller variance

### c) Ridge has smaller bias, larger variance

d) Ridge has smaller bias, smaller variance

**Click here to view answer**

3. When compared with Lasso regression, the Ridge regression works well in cases where we

a) if we have more features

b) if we have less features

c) if features have high correlation

d) if features have low correlation

**Click here to view answer**

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