Question 1
Which of the following metrics is the ERM primarily designed to maximize by design?
Accuracy
F1 score
Precision
Log loss
The IIT Madras BS Algorithms for Data Science (Algorithms for Data Science) End Term paper sat on 21 Dec 2025, in the September 2025 term: 19 questions for 40 marks in 180 minutes. Every question is below with its answer. Take it as a timed mock test to be marked, or read it through first.
Which of the following metrics is the ERM primarily designed to maximize by design?
Accuracy
F1 score
Precision
Log loss
Correct answer
Accuracy
Correct answers
Correct answers
Correct answers
Correct answer: 1
Correct answer: 16
Correct answer: 6
Correct answer: 0.25 (accepted within ±0.01)
Correct answer: 4
Correct answer: 0.06 (accepted within ±0.03)
Correct answer: 5
Correct answer: 7
Based on the above data, answer the given subquestions.
Generalization error
Estimation error
Approximation error
Bayes error
Correct answer
Generalization error
Based on the above data, answer the given subquestions.
Which of the following is true?
Correct answer
Based on the above data, answer the given subquestions.
Correct answers
Based on the above data, answer the given subquestions.
Correct answer: 0.375 (accepted within ±0.005)
Based on the above data, answer the given subquestions.
Find the absolute value of the approximation error.
Correct answer: 0
Based on the above data, answer the given subquestions.
Correct answer: 0.69 (accepted within ±0.01)
Based on the above data, answer the given subquestions.
Correct answer: 0.385 (accepted within ±0.065)