NPTEL Introduction to Machine Learning Week 6 Assignment Answers 2025

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NPTEL Introduction to Machine Learning Week 6 Assignment Answers 2025

1. Statement: Decision Tree is an unsupervised learning algorithm.
Reason: The splitting criterion use only the features of the data to calculate their respective measures

  • Statement is True. Reason is True.
  • Statement is True. Reason is False
  • Statement is False. Reason is True
  • Statement is False. Reason is False
Answer :- For Answers Click Here

2. Increasing the pruning strength in a decision tree by reducing the maximum depth:

  • Will always result in improved validation accuracy.
  • Will lead to more overfitting
  • Might lead to underfitting if set too aggressively
  • Will have no impact on the tree’s performance.
  • Will eliminate the need for validation data.
Answer :-

3. What is a common indicator of overfitting in a decision tree?

  • The training accuracy is high while the validation accuracy is low.
  • The tree is shallow.
  • The tree has only a few leaf nodes.
  • The tree’s depth matches the number of attributes in the dataset.
  • The tree’s predictions are consistently biased.
Answer :-

4. Consider the following statements:
Statement 1: Decision Trees are linear non-parametric models.
Statement 2: A decision tree may be used to explain the complex function learned by a neural network.

  • Both the statements are True.
  • Statement 1 is True, but Statement 2 is False.
  • Statement 1 is False, but Statement 2 is True.
  • Both the statements are False.
Answer :-

5. Entropy for a 50-50 split between two classes is:

  • 0
  • 0.5
  • 1
  • None of the above
Answer :-

6. Consider a dataset with only one attribute(categorical). Suppose, there are 10 unordered values in this attribute, how many possible combinations are needed to find the best split-point for building the decision tree classifier?

  • 1024
  • 511
  • 1023
  • 512
Answer :-

7. Consider the following dataset:

What is the initial entropy of Malignant?

  • 0.543
  • 0.9798
  • 0.8732
  • 1
Answer :-

8. For the same dataset, what is the info gain of Vaccination?

  • 0.4763
  • 0.2102
  • 0.1134
  • 0.9355
Answer :- For Answers Click Here

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