NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 2 Answers:– Hello students in this article we are going to share NPTEL Introduction To Machine Learning – IITKGP assignment week 2 answers. All the Answers provided below to help the students as a reference, You must submit your assignment at your own knowledge.
Below you can find NPTEL INTRODUCTION TO MACHINE LEARNING IIT KGP Assignment 2 Answers
| Assignment No. | Answers |
|---|---|
| Introduction To Machine Learning – IITKGP Assignment 1 | Click Here |
| Introduction To Machine Learning – IITKGP Assignment 2 | Click Here |
| Introduction To Machine Learning – IITKGP Assignment 3 | Click Here |
| Introduction To Machine Learning – IITKGP Assignment 4 | Click Here |
| Introduction To Machine Learning – IITKGP Assignment 5 | Click Here |
| Introduction To Machine Learning – IITKGP Assignment 6 | Click Here |
| Introduction To Machine Learning – IITKGP Assignment 7 | Click Here |
| Introduction To Machine Learning – IITKGP Assignment 8 | Click Here |
NPTEL Introduction To Machine Learning IITKGP ASSIGNMENT 2 Answers 2022 :-
1. In a binary classification problem, out of 30 data points 12 belong to class I and 18 belong to class II. What is the entropy of the data set?
A. 0.97
B 0
C. 1
D. 0.67
Answer:- c
2. Decision trees can be used for the problems where
A. the attributes are categorical.
B. the attributes are numeric valued.
C. the attributes are discrete valued.
D. In all the above cases.
Answer:- d
3. Which of the following is false?
A. Variance is the error of the trained classifier with respect to the best classifier in the concept class.
B. Variance depends on the training set size.
C. Variance increases with more training data.
D. Variance increases with more complicated classifiers.
Answer:- c
4. In linear regression, our hypothesis is h (x) = 6+ 0x, the training data is given in the table. A
What is the value of J(0) when 6 = (1,1).
A. 0
B. 1
C. 2
D. 0.5
Answer:- Not Sure about answer now will update on telegram channel before deadline
Next Week Assignment Answers
5. The value of information gain in the following decision tree is:
A. 0.380
B. 0.620
C. 0.190
D. 0.477
Answer:- a
6. What is true for Stochastic Gradient Descent?
A. In every iteration, model parameters are updated for multiple training samples
B. In every iteration, model parameters are updated for one training sample
C. In every iteration, model parameters are updated for all training samples
D. None of the above
Answer:- b
7. The entropy of the entire dataset is
A. 0.5
B. 1
C. 0
D. 0.1
Answer:-
8. Which attribute will be the root of the decision tree?
A. Green
B. Legs
C. Height
D. Smelly
Answer:- b
9. In Linear Regression the output is:
A. Discrete
B. Continuous and always lies in a finite range
C. Continuous
D. May be discrete or continuous
Answer:- c
10. Identify whether the following statement is true or false? Overfitting is more likely when the set of training data is small
A. True
B. False
Answer:- a
For Internship:- Click Here
Disclaimer: We do not claim 100% surety of answers, these answers are based on our sole knowledge, and by posting these answers we are just trying to help students, so we urge do your assignment on your own.
if you have any suggestions then comment below or contact us at [email protected]
If you found this article Interesting and helpful, don’t forget to share it with your friends to get this information.
