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Bayesian Linear Regression Quiz

Authored by HARINI B

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Bayesian Linear Regression Quiz
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8 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Ridge regression, the loss function minimized is:Which term defines uncertainty in predictions in Bayesian Linear Regression?

Bias

Posterior variance

Loss

Covariance matrix of X

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Ridge regression, when λ = 0, the solution is equivalent to:

Bayesian regression

Logistic regression

Least squares regression

Lasso regression

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which component is updated using Bayes' Rule in Bayesian Linear Regression?

Regularization term

Prior

Posterior

Cost function

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Bayesian Linear Regression helps prevent overfitting by:

Removing features

Shrinking weights

Averaging over posterior distribution

Maximizing likelihood only

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which matrix operation is involved in both Ridge and Bayesian Regression solutions?

Inversion of the design matrix

QR decomposition

Determinant of covariance

SVD of the prior

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In Bayesian Linear Regression, what does the prior represent?

Prediction distribution

Belief before seeing the data

Output space

Loss function

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which parameter in Bayesian Linear Regression defines confidence in the prior?

Noise variance

λ

Prior covariance

Output mean

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