MCQ Buddy
Search here...
Home MCQ Feed Add Question Programming Portal English Portal Login
  1. Home
  2. Engineering
  3. Machine Learning (ML)
  4. Question

M

Mr. Dubey • 52.70K Points
Coach

Q. The soft margin SVM is more preferred than the hard-margin SVM when-

(A) the data is linearly seperable
(B) the data is noisy and contains overlapping points
(C) the data is not noisy and linearly seperable
(D) the data is noisy and linearly seperable
  • Correct Answer - Option(B)
  • Views: 413
  • Filed under category Machine Learning (ML)
Share

No solution found for this question.
Add Solution and get +2 points.

You must be Logged in to update hint/solution

Discusssion

Login to discuss.

Be the first to start discuss.

Related MCQs

Q. Consider the example of a fire- hose. If the water comes out of the hose five seconds after the hydrant is turned on. Once the water starts flowing, i

Q. dual of (p V q)٨ r is..

Q. '.zfill(5))

Q. python source code file has an extension of

Q. The selling price of a house depends on many factors. For example, it depends on the number of bedrooms, number of kitchen, number of bathrooms, the y

Q. Which of the following system calls does not return control to the calling point, on termination?

Q. Functional departmentalization groups’ jobs by which of the following?

Q. Which one of the following is not attributes of file?

Q. Which is the stages of law of variable proportions?

Q. ……………….. contains information that defines valid values that are stored in a column or data type.


Question analytics

Share

Embed

WhatsApp

Facebook

Telegram

Share in MCQ Buddy Groups

Share
Embed
Important Links
  • Browse All Categories
  • Subjects
  • Exams
  • Mock Test
  • Advance Search
  • Quiz
  • Duo Test
  • English Topics
Explore More Portals
  • Hindi
  • State wise Portals
  • MCQ Buddy Lab
  • Engineering
  • Programming Portal
  • MB Shorts
  • NCERT Portal
  • Faculties Portal
  • Groups
  • Q & A
  • Spaces
  • Satya Sanatan
  • Keycrypt
Who we are?

We are nothing if we are alone. But we have a huge community of students who are helping you getting good study stuff free.

More Links
  • Download App
  • Advertise with us
  • Contact us
  • Youtube
  • Terms & Conditions
  • Refund Policy
  • Privacy Policy

Since 2020 - 2025 | Proudly Made with ♥ in India

Hosted on Hostinger