Data Science and Artificial Intelligence
GATE DA Machine Learning PYQs
Build your understanding with focused practice from past exam papers.
Questions 11–20 of 28. Imported answers require independent review unless marked reviewed.
Question 30
Open questiondaMSQ1 markNeeds review
Let
and
be two sets of objects. Let
be a measure of dissimilarity between two objects
and
. Consider the following definitions of dissimilarity between
and
.
Which of the following statements is/are correct?
Your answerSelect all correct options. You can choose more than one.
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Given data
of the form
, we fit a model
using linear least-squares regression. The optimal value of
is __________
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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 __________
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Open questiondaMCQ2 marksNeeds review
Consider the neural network shown in the figure with
inputs:
weights:
output:
denotes the ReLU function,
.

Given
which one of the following is correct?Your answerChoose one option.
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Open questiondaMSQ2 marksNeeds review
Which of the following statements is/are correct about the rectified linear unit (ReLU) activation function defined as
, where
?Your answerSelect all correct options. You can choose more than one.
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Open questiondaMSQ2 marksNeeds review
Consider designing a linear binary classifier
,
on the following training data:Class-1:
, Class-2:
Hard-margin support vector machine (SVM) formulation is solved to obtain
and
. Which of the following options is/are correct?Your answerSelect all correct options. You can choose more than one.
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Open questiondaMSQ2 marksNeeds review
Consider a two-class problem in
with class labels
and
. Let
and
be the means of the two classes. Given test sample
, a classifier calculates the squared Euclidean distance (denoted by
) between
and the means of the two classes and assigns the class label that the sample
is closest to. That is, the classifier computes
and assigns the label
to
if
, and
otherwise. Which of the following statements is/are correct?Your answerSelect all correct options. You can choose more than one.
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Open questiondaNAT2 marksNeeds review
Let
be a dataset of
observations where each
. It is given that
. The covariance matrix computed from
has eigenvalues
,
. Let
be the direction of maximum variance with
.The value of
(Answer in integer)
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Open questionDAMCQ1 markNeeds review
Consider the dataset with six datapoints:
, where
,
,
,
,
,
and the labels are given by
, and
. A hard margin linear support vector machine is trained on the above dataset. Which ONE of the following sets is a possible set of support vectors?Your answerChoose one option.
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Open questionDAMCQ1 markNeeds review
Match the items in Column 1 with the items in Column 2 in the following table:
Column 1: (p) Principal Component Analysis; (q) Naïve Bayes Classification; (r) Logistic Regression.
Column 2: (i) Discriminative Model; (ii) Dimensionality Reduction; (iii) Generative Model
Your answerChoose one option.
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