Machine Learning: Random Forest with Python from Scratch - How to Classify
Interactive Video
•
Computers
•
9th - 10th Grade
•
Practice Problem
•
Hard
Wayground Content
FREE Resource
7 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of the recursive method in training a decision tree?
To initialize the decision tree
To identify and return predictions from leaf nodes
To calculate the information gain
To handle missing data
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the first step in building the decision tree?
Compiling the code
Passing the training data
Defining the leaf nodes
Calculating the accuracy
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which common error is highlighted during the implementation of the decision tree?
Infinite loops
Memory overflow
Undefined variables
Incorrect data types
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What was the cause of the 'leaf is not defined' error?
A syntax error
An incorrect function call
A typo in the code
A missing import statement
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the classify method return when it reaches a leaf node?
The node's question
The node's predictions
The node's true branch
The node's false branch
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the expected output of the classify method for the given test data?
3
1
0
2
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What future improvement is planned for the decision tree model?
Adding more training data
Implementing an accuracy method
Reducing the model size
Increasing the number of nodes
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