Data Science and Artificial Intelligence
GATE DA concept:naive-bayes-classifier PYQs
Build your understanding with focused practice from past exam papers.
How to practice concept:naive-bayes-classifier
Attempt a question, record the concept and assumptions, then check the available answer. Rework mistakes after revising the relevant concepts. Topic tags can overlap; review the question context.
Questions 1–2 of 2. Imported answers require independent review unless marked reviewed.
Question 35
Open questiondaNAT1 markNeeds review
The naive Bayes classifier is used to solve a two-class classification problem with class-labels
. Suppose the prior probabilities are
and
. Assuming a discrete feature space with
for a specific feature vector
. The probability of misclassifying
is __________
(Round off to two decimal places)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 answerQuestion 20
Open questionDAMCQ1 markNeeds review
Given a dataset with
binary-valued attributes (where
) for a two-class classification task, the number of parameters to be estimated for learning a naïve Bayes classifier isYour 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 answer