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 the purpose of using regularization in model selection?
What is the purpose of using regularization in model selection?
Expand All
Collapse All
Practice Questions
1 question
Q1
What is the purpose of using regularization in model selection?
To increase model complexity
To prevent overfitting
To improve feature selection
To enhance data preprocessing
Show Solution
Copy
Regularization is used to prevent overfitting by adding a penalty for larger coefficients in the model.
Questions & Step-by-step Solutions
1 item
Q
Q: What is the purpose of using regularization in model selection?
Solution:
Regularization is used to prevent overfitting by adding a penalty for larger coefficients in the model.
Steps: 6
Show Steps
Step 1: Understand that when we create a model, we want it to learn from the data.
Step 2: Realize that sometimes a model can learn too much from the training data, which is called overfitting.
Step 3: Overfitting means the model performs well on training data but poorly on new, unseen data.
Step 4: Regularization is a technique used to help the model generalize better to new data.
Step 5: It does this by adding a penalty for having large coefficients (weights) in the model.
Step 6: By keeping the coefficients smaller, the model becomes simpler and less likely to overfit.
Related Questions
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 commonly used for clustering?
Question: Which algorithm is commonly used for clustering?Options: Linear RegressionK-MeansSupport V..
W
What is overfitting in machine learning?
Question: What is overfitting in machine learning?Options: When a model performs well on training da..
W
Which of the following is a characteristic of neural networks?
Question: Which of the following is a characteristic of neural networks?Options: They require struct..
‹
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
✕
↑
