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ML2 PDFs Trees

Authored by jaime bustamante

Science

12th Grade

Used 3+ times

ML2 PDFs Trees
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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main characteristic of decision trees?

They are very complex and difficult to understand

They are not suitable for discovering hidden patterns

They are easy to understand and implement

They are only used for regression analysis

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the measure of how impure or heterogeneous groups are after a split?

Impurity

Node

Split value

Loss

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the maximum depth of a decision tree related to?

The measure of how impure or heterogeneous groups are after a split

The maximum length between the root node to a leaf

The minimum number of observations that must be present in a partition to be split in a node

The minimum number of observations that must be contained in a leaf

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of pruning in decision trees?

To increase overfitting

To reduce the number of branches and overfitting

To decrease the variance in the estimator

To make the tree more complex

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

When is it good to use decision trees?

When looking for predictions and explainability

When the classes are imbalanced

When a lot of data preprocessing is needed

When looking for predictions but not explainability

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the type of decision trees in terms of machine learning?

For clustering

Only for regression

For both regression and classification

Only for classification

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the measure of how mixed the data is within a partition?

Impurity

Loss

Split value

Node

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