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Nearest Neighbor Algorithm

Authored by Vivek Cheroor

Computers

11th Grade

Used 7+ times

Nearest Neighbor Algorithm
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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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