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 overfitting in the context of supervised learning?
What is overfitting in the context of supervised learning?
Expand All
Collapse All
Practice Questions
1 question
Q1
What is overfitting in the context of supervised learning?
The model performs well on training data but poorly on unseen data
The model is too simple to capture the underlying trend
The model has too few features
The model is trained on too little data
Show Solution
Copy
Overfitting occurs when a model performs well on training data but poorly on unseen data due to excessive complexity.
Questions & Step-by-step Solutions
1 item
Q
Q: What is overfitting in the context of supervised learning?
Solution:
Overfitting occurs when a model performs well on training data but poorly on unseen data due to excessive complexity.
Steps: 5
Show Steps
Step 1: Understand that supervised learning involves training a model on a set of data with known outcomes.
Step 2: Recognize that the goal is for the model to learn patterns from this training data.
Step 3: Realize that overfitting happens when the model learns the training data too well, including noise and outliers.
Step 4: Notice that a model that is overfitted will perform excellently on the training data but poorly on new, unseen data.
Step 5: Understand that this is because the model is too complex and has memorized the training data instead of generalizing from it.
Related Questions
I
In which scenario would you use reinforcement learning?
Question: In which scenario would you use reinforcement learning?Options: When you have labeled data..
W
What is the main function of an activation function in a neural network?
Question: What is the main function of an activation function in a neural network?Options: To initia..
W
Which of the following is an example of unsupervised learning?
Question: Which of the following is an example of unsupervised learning?Options: Image classificatio..
W
What does the term 'feature engineering' refer to?
Question: What does the term \'feature engineering\' refer to?Options: The process of selecting a mo..
W
Which neural network architecture is primarily used for image recognition tasks?
Question: Which neural network architecture is primarily used for image recognition tasks?Options: R..
‹
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
✕
↑
