MLF End Term: 3 September 2023, Set QPE1-S1 (May 2023 term)

Question 1

+2 marksOne or more correct options

Which of the following statements accurately describes the key difference between classification and regression models?

Select all that apply.

A
In classification, the output variable is continuous and real-valued, while in regression, it is categorical.
B
Regression models are used for predicting probabilities, whereas classification models focus on predicting absolute values.
C
Classification models aim to find decision boundaries to separate data into classes, while regression models seek to predict a numeric value.
D
In regression, the commonly used loss function is mean squared error, while in classification, 0 -1 loss is typically employed.

Question 2

+2 marksNumerical answer

Based on the above data, answer the given subquestions.

Question 3

+1 markNumerical answer

Based on the above data, answer the given subquestions.

14 more questions in this paper

Sign in with Google — it is free — to see every question with its answer and explanation, practise it in learning mode, or take it as a timed mock test.

More on the MLF End Term 3 Sept 2023 Set QPE1-S1 paper

The IIT Madras BS Machine Learning Foundations (MLF) End Term paper sat on 3 Sept 2023, in the May 2023 term, set QPE1-S1: 17 questions for 50 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.

Feature	MLF End Term 3 Sept 2023 Set QPE1-S1 at a glance
Term	May 2023 term
Subject	Machine Learning Foundations
Course code	BSCS2004
Questions	17
Marks	50
Duration	180 min
MSQ	7
Numerical	6
MCQ	4
Official paper	IIT M DEGREE ET1 EXAM QPE1 S2 03 Sep
Negative marking	No negative marking.
Updated	25 Sept 2026

Other sets that day

Set QPE1-S2