Question

In supervised learning, how are the classes determined?

a.

By using unsupervised clustering algorithms

b.

Before examining the data

c.

Based on the frequency of occurrence in the data

d.

By applying a similarity metric

Posted under Big Data Computing

Answer: (b).Before examining the data Explanation:In supervised learning, the classes are determined before examining the data, and the algorithm learns to map examples into these predefined classes.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. In supervised learning, how are the classes determined?

Add Comment

Similar Questions

Discover Related MCQs

Q. What is one of the basic tasks in supervised learning?

View solution

Q. What distinguishes unsupervised learning from supervised learning?

View solution

Q. What is a common goal of unsupervised learning?

View solution

Q. Why is machine learning well-suited for handling Big Data?

View solution

Q. What types of tasks are strengths of machine learning algorithms in the context of Big Data?

View solution

Q. What is the primary purpose of decision tree learning?

View solution

Q. How are decision tree algorithms like ID3 and C4.5 used in the learning process?

View solution

Q. What measures are used to determine the selection of attributes for splitting in decision trees?

View solution

Q. What happens when an instance is incorrectly classified in the decision tree learning process?

View solution

Q. What is one of the improved versions of the ID3 decision tree algorithm?

View solution

Q. What does the "rxDTree" function in Revolution R* Enterprise 6.1 software provide for decision tree learning?

View solution

Q. How does data parallelism work in the context of Big Data decision trees?

View solution

Q. What is the potential drawback of using the "rxDTree" function for decision tree construction?

View solution

Q. What are decision trees converted into to improve readability?

View solution

Q. What is one way to obtain a more readable representation of a decision tree?

View solution

Q. What is the covering approach in rule induction?

View solution

Q. What is the main difference between clustering and classification?

View solution

Q. How are clusters defined in clustering?

View solution

Q. Which metric is commonly used to calculate distances in the k-means clustering algorithm?

View solution

Q. What is the challenge associated with the k-means algorithm?

View solution

View All MCQs on Big Data Computing

Suggested Topics

Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Internet of Things (IoT)

Discover how devices communicate with each other in the smart world with our IoT...

Computer Graphics

Step into the visual side of computing with our Computer Graphics MCQs. Cover topics...

DBMS

Get a firm grasp on database systems with our DBMS MCQs. Explore relational...

Web Technologies

Master the building blocks of the web with our Web Technologies MCQs. From HTML and...

PHP

Venture into server-side scripting with our PHP MCQs. Cover everything from syntax...

Cyber Security

Understand the fundamentals of safeguarding digital assets with our Cyber Security...

Python

Dive into one of the most popular languages with our Python MCQs. Understand...

HTML

Start your journey in web development with our HTML MCQs. Learn the building blocks...

Data Structures and Algorithms

Journey through the fundamentals of Data Structures and Algorithms with our extensive...