Decision Tree / ensemble methods review

Decision Tree / ensemble methods review

Professional Development

11 Qs

quiz-placeholder

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Decision Tree / ensemble methods review

Decision Tree / ensemble methods review

Assessment

Quiz

Other

Professional Development

Medium

Created by

Yazeid Alqahtani

Used 112+ times

FREE Resource

11 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

Media Image

What is a Decision Tree?

Flow-Chart

Structure in which internal node represents test on an attribute, each branch represents outcome of test and each leaf node represents class label

Flow-Chart & Structure in which internal node represents test on a feature, each branch represents outcome of test and each leaf node represents class label

None of the mentioned

2.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Decision Trees can be used for regression Tasks

True

False

3.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Decision tree usually underfit the data

True

False

4.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Decision trees are example of model with high variance.

True

False

5.

MULTIPLE CHOICE QUESTION

1 min • 1 pt

in a decision tree, If the number of levels is too low i.e. the depth of the tree is too low, the model tends to overfit.

True

False

6.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

decision tree is computationally cheap for predictions but training the tree can be computationally expensive

True

False

7.

MULTIPLE CHOICE QUESTION

45 sec • 1 pt

Ensemble methods are meta-algorithms that combine several machine learning techniques into one predictive model

True

False

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