Machine Learning - Similarity Based Learning Quiz

Machine Learning - Similarity Based Learning Quiz

Professional Development

10 Qs

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Machine Learning - Similarity Based Learning Quiz

Machine Learning - Similarity Based Learning Quiz

Assessment

Quiz

Education

Professional Development

Practice Problem

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Ms C

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10 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

1. What type of learning algorithm is K-Nearest Neighbors (K-NN)?

Unsupervised Learning

Supervised Learning

Reinforcement Learning

Deep Learning

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is K-NN referred to as a lazy learning algorithm?

Because it does not use training data

Because it builds the model during the training phase

Because it stores training data and delays processing until prediction

Because it learns from mistakes

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which distance metric is most commonly used in K-NN?

Hamming Distance

Euclidean Distance

Cosine Similarity

Manhattan Distance

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is a drawback of similarity-based learning?

Requires large memory to store data

Requires pre-training of data

Cannot classify new data

Builds abstract models

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

In weighted K-NN, how are the weights assigned to neighbors?

Randomly

Based on class frequency

Inversely proportional to distance

Based on their order

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is an instance-based learning algorithm?

Decision Trees

Support Vector Machines

K-Nearest Neighbors

Naive Bayes

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main idea behind Weighted K-Nearest Neighbors (K-NN)?

All neighbors have equal voting power

The nearest neighbor alone decides the class

Neighbors contribute based on their distance from the query point

Only labeled data is used

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