Python for Machine Learning - The Complete Beginners Course - Introduction to Decision Trees

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Information Technology (IT), Architecture
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University
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Hard
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5 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of a decision tree in machine learning?
To split data into smaller subsets based on parameters
To combine data into larger sets
To eliminate data redundancy
To increase data complexity
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a decision node in a decision tree?
A point where data is split into branches
A point where data is combined
A point where data is stored
A point where data is deleted
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does a decision tree algorithm determine the best feature for data segmentation?
By randomly selecting a feature
By evaluating the feature's importance
By choosing the first feature in the dataset
By selecting the feature with the least data
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the role of criteria and measurements in decision trees?
To delete unnecessary data
To make decisions on data segmentation
To store data efficiently
To visualize data
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which criterion is mentioned as a method for making decisions in decision trees?
Entropy
Variance
Standard deviation
Mean
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