Quiz Space

Machine Learning Techniques · End Term · 24 Dec 2023 · September 2023 term · Set FDB1

MLT End Term 24 Dec 2023 — Question 13

Question 13

+5 marksNumerical answer

Based on the above data, answer the given subquestions.

Show answer

Correct answer: 5.38 (accepted within ±0.06)

Question 13 of 18 in the IIT Madras BS Machine Learning Techniques (MLT) End Term paper sat on 24 Dec 2023, in the September 2023 term (IIT M DEGREE FN EXAM FDB1 24 Dec 2023). It carries 5 marks.

More questions from this paper

  1. Q1Figure question
  2. Q2Common Data: A team was given a dataset X \in \mathbb{R}^{d \times n} where d denotes the number of features and n deno…
  3. Q3Common Data: A team was given a dataset X \in \mathbb{R}^{d \times n} where d denotes the number of features and n deno…
  4. Q4(Enter your answer correctly to two decimal places)
  5. Q5We wish to fit a GMM with K = 2 for a dataset having 4 points. At the beginning of the t^{th} time step of the EM algor…
  6. Q6Consider a training set {X, y}, where X \in \mathbb{R}^{d \times n} and the target y \in \mathbb{R}^n. Suppose a team d…
  7. Q7Consider a Ridge Regression scenario where the feature vector \mathbf{x} is given by \mathbf{x} = [x_1, x_2, x_3, x_4],…
  8. Q8Figure question
  9. Q9Figure question
  10. Q10Consider the following 2D dataset with points in \mathbb{R}^2: | x_1 | x_2 | y | |---|---|---| | 1 | 2 | -1 | | 2 | 3 |…
  11. Q11Consider a logistic regression model that has been trained for a binary classification problem on a dataset in \mathbb{…
  12. Q12What is the equation of the decision boundary? Select all options that are correct.
  13. Q14Consider a soft-margin Support Vector Machine (SVM) for a binary classification problem with a dataset in a two-dimensi…
  14. Q15Which of the following statements are correct?
  15. Q16We have trained four models in the same dataset with different hyperparameters. In the following table, we have recorde…
  16. Q17Figure question
  17. Q18Figure question