Machine Learning Random Forest with Python from Scratch - Leaf and Decision Node

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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 function of a leaf node in a decision tree?
To split data into two branches
To make predictions based on class counts
To initialize the tree structure
To ask a question for further branching
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does a decision node differ from a leaf node?
It does not make predictions
It is the endpoint of a tree
It creates two branches based on a question
It is used to initialize the tree
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What components are necessary to build a decision tree?
Only leaf nodes
Only decision nodes
A combination of leaf nodes and decision nodes
None of the above
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What will the build tree method return once implemented?
A list of all nodes
A pointer to the root of the tree
The number of leaf nodes
The number of decision nodes
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the next step after defining the leaf and decision node classes?
Writing more helper functions
Testing the tree with data
Implementing the build tree method
Creating additional node types
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