Alerts
Wishlist
Cart
Sign In
Categories
Current Affairs & GK
Current Affairs
Show All Current Affairs & GK
eBooks
General Aptitude
Arithmetic Aptitude
Data Interpretation
Show All General Aptitude
General Knowledge
Basic General Knowledge
General Science
Show All General Knowledge
Medical Science
Anatomy
Biochemical Engineering
Biochemistry
Biotechnology
Microbiology
Show All Medical Science
Technical
Database
Digital Electronics
Electronics
Networking
Show All Technical
Verbal and Reasoning
Logical Reasoning
Verbal Ability
Verbal Reasoning
Show All Verbal and Reasoning
›
What is a key characteristic of supervised learning?
What is a key characteristic of supervised learning?
Expand All
Collapse All
Practice Questions
1 question
Q1
What is a key characteristic of supervised learning?
No labeled data is used
It requires a training dataset with input-output pairs
It is only applicable to classification tasks
It does not involve any model training
Show Solution
Copy
Supervised learning requires a training dataset with input-output pairs to learn the mapping from inputs to outputs.
Questions & Step-by-step Solutions
1 item
Q
Q: What is a key characteristic of supervised learning?
Solution:
Supervised learning requires a training dataset with input-output pairs to learn the mapping from inputs to outputs.
Steps: 5
Show Steps
Step 1: Understand that supervised learning is a type of machine learning.
Step 2: Know that it uses a training dataset.
Step 3: Recognize that this dataset contains pairs of inputs and their corresponding outputs.
Step 4: Learn that the goal is to find a relationship or mapping between the inputs and outputs.
Step 5: Realize that once the model learns this mapping, it can predict outputs for new inputs.
Related Questions
W
What is the primary goal of supervised learning?
Question: What is the primary goal of supervised learning?Options: To find hidden patterns in dataTo..
W
Which of the following is a common evaluation metric for classification tasks?
Question: Which of the following is a common evaluation metric for classification tasks?Options: Mea..
W
Which of the following is a common evaluation metric for classification models?
Question: Which of the following is a common evaluation metric for classification models?Options: Me..
W
What is the purpose of a confusion matrix?
Question: What is the purpose of a confusion matrix?Options: To visualize the performance of a regre..
W
Which algorithm is typically used for binary classification?
Question: Which algorithm is typically used for binary classification?Options: K-Means ClusteringLin..
‹
Biology (School & UG)
Chemistry (School & UG)
Civil Engineering
Commerce & Accountancy
Computer Science & IT
Current Affairs & GK
Data Structures & Algorithms
eBooks
Electrical & Electronics Engineering
English (School)
General Aptitude
General Knowledge
General Knowledge & Current Affairs
Languages & Literature
Law & Legal Studies
Major Competitive Exams
Mathematics (School)
Mechanical Engineering
Medical Science
Physics (School & Undergraduate)
Quantitative Aptitude & Reasoning
Social Science (School)
Technical
Verbal and Reasoning
Vocational & Skill Development
›
Soulshift Feedback
×
On a scale of 0–10, how likely are you to recommend
The Soulshift Academy
?
0
1
2
3
4
5
6
7
8
9
10
Not likely
Very likely
✕
↑
