Resampling, linear model selection, moving beyond linearity

Resampling, linear model selection, moving beyond linearity

University

10 Qs

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Resampling, linear model selection, moving beyond linearity

Resampling, linear model selection, moving beyond linearity

Assessment

Quiz

Information Technology (IT)

University

Hard

Created by

Dmitrij Celov

Used 1+ times

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

20 sec • 1 pt

Media Image

A Leave-one-out cross-validation is a particular case of K-fold cross-validation

True

False

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

The predictors identified by the k step of best subset selection are the subset of the k+1 step of best subset selection

True

False

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which proportion of observations is on average not a part of a finite bootstrap sample

1/4

1/3

(1-1/n)^n

1/e

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which model would have the smallest training residual sum of squares at the k step?

Best subset selection

Forward stepwise selection

Forward stagewise selection

Backward stepwise selection

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

The LASSO relative to least squares is

More flexible and improves prediction if bias increase < variance decrease

More flexible and improves prediction if variance increase < bias decrease

Less flexible and improves prediction if bias increase < variance decrease

Less flexible and improves prediction if variance increase < bias decrease

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

The form of the prior beliefs area of the ridge regression is

Diamond

Triangle

Square

Circle

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Media Image

Which of the following are some of the regularization methods?

Ridge regression

LASSO

Least squares

All mentioned

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