Data Principles week 5 part 1

Data Principles week 5 part 1

12th Grade

100 Qs

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Data Principles week 5 part 1

Data Principles week 5 part 1

Assessment

Passage

English

12th Grade

Easy

Created by

Đức Trần

Used 4+ times

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100 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of learning is used by Decision Trees?

Unsupervised Learning

Reinforcement Learning

Supervised Learning

Semi-supervised Learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a processing data type for Decision Trees?

Discrete

Continuous

Binary

Categorical

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the goal of a Decision Tree?

To calculate probabilities

To predict/classify the result based on the given criteria

To cluster data into groups

To find association rules

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is NOT a splitting rule used in Decision Trees?

Entropy

Gain Ratio

Chi-Square Test

Mean Squared Error

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a Terminal Node (Leaf) in a Decision Tree?

The node where further splitting is possible

The node that contains the highest entropy

The node that represents the final outcome of a decision path

The node that is used to start the tree construction

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a pruning technique in Decision Trees?

Predicting Error Rate

K-Means Clustering

Support Vector Machines

Linear Regression

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

According to the decision tree, if the outlook is 'Sunny' and it is 'Windy', what is the decision for outdoor exercise?

A) Yes

B) No

C) Maybe

D) The decision tree does not specify

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