
Nearest Neighbor Algorithm
Authored by Vivek Cheroor
Computers
11th Grade
Used 7+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Nearest Neighbor algorithm is a type of __________ Learning
Supervised
Unsupervised
Reinforcement
None of these
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of the nearest neighbor algorithm in machine learning?
Feature Selection
Clustering
Classification
Dimensionality reduction
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the fundamental idea behind the simple nearest neighbor algorithm?
Clustering data points into groups
Reducing the dimensionality of the dataset
Predicting a target value based on the values of its nearest neighbors
Performing dimensionality reduction
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In the context of the simple nearest neighbor algorithm, what is the term "nearest neighbor" referring to?
The data point with the highest class probability
The data point that is closest to the centroid of the dataset
The data point that has the maximum number of features
The data point in the training set that is most similar to a given test point
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What does the "nearest neighbor" algorithm typically require to make predictions for new data points?
A dataset with labeled examples
A dataset with Un-labeled examples
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following statements about the simple nearest neighbor algorithm is true?
It works best when the dataset has more number of features.
It works best when the dataset has a small number of features.
It works best when the dataset has no features
None of these
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the parameters used in training your color detection model using Zumi?
Hue
Saturation
Brightness
All of these
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