GATE DA · 2025 · da
Question 22: Machine Learning
Give it a try, then reveal the answer to check your work.
Question 22
daMCQ1 markNeeds review
Consider designing a linear classifier
on a dataset
,
. Recall that the sign function outputs +1 if the argument is positive, and −1 if the argument is non-positive. The parameters
and
are updated as per the following training algorithm:
whenever
. In other words, whenever the classifier wrongly predicts a sample
from the dataset,
gets updated to
, and likewise
gets updated to
. Consider the case
. ThenYour answerChoose one option.
Log in to check the answer
You can attempt this question now. Sign in to view the answer key, explanations and discussion.Log in to check answerEXPLORE & PRACTISE
Paper and topic context
See where this question comes from and choose what to practise next.
2025da
GATE DA 2025 · Paper 1
Data Science and Artificial Intelligence · Original paper archive
- Section
- Section da
- Question type
- Multiple choice (MCQ)
- Marks
- 1 mark
Practise related topics
Explore more previous year questions using this question’s imported topic tags.
data science
GATE DA previous year questions
artificial intelligence
GATE DA previous year questions
computing
GATE DA previous year questions
machine learning
GATE DA previous year questions
Comments
Ask a question, share your approach, or help someone understand.
Log in to view the discussion
You’re not logged in. Log in or create an account to see discussions and add comments.