Python for Machine Learning - The Complete Beginners Course - K-Nearest Neighbors Algorithm
Interactive Video
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Information Technology (IT), Architecture
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University
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Practice Problem
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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 focus when comparing two classes in the context of this video?
The color of the data points
The similarity between the classes
The size of the data points
The distance between the classes
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How does the Kehne classifier determine the category for a new data point?
By the size of the data point
By the number of neighbors in each category
By the distance from the origin
By the color of the data point
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the example given, to which category is the new data point assigned?
Both A and B
Neither A nor B
Category A
Category B
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the Euclidean distance used for in this context?
To measure the similarity between categories
To assign a category to a data point
To calculate the distance between two points
To determine the color of a data point
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the result of calculating the Euclidean distance between two points?
The size of the points
The category of the points
The nearest neighbor
The color of the points
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