## NPTEL Data Analytics with Python Week 12 Assignment Answers 2024

1. Which clustering algorithm works well when the shape of the clusters is hyper-spherical?

- K means
- Agglomerative Hierarchical clustering
- Divisive Hierarchical clustering
- All of the above

Answer :-

2. In decision tree, an internal node represents –

- A test on an attribute
- An outcome of the test
- Entire sample population
- Holds a class label

Answer :-

3. Choose the correct statement about the CART model

- CART is an unsupersived learning technique
- CART is a supervised learning technique
- CART adopts a greedy approach
- Both b. and c.

Answer :-

4. Which library is used to built the decision tree model-

- Decision tree classifier
- DecisionTreeClassifier
- Decision_Tree_Classifier
- Decision_tree_model

Answer :-

5. State True or False: Gini Index enforces the resulting tree to have multiway splits

- True
- False

Answer :-

6. Chance nodes are represented by **_**_______

- Disks
- Squares
- Circles
- Triangles

Answer :-

7. _______is the measure of uncertainty of a random variable, it characterizes the impurity of an arbitrary collection of examples.

- Information Gain
- Gini Index
- Entropy
- None of the above

Answer :-

8. End Nodes are represented by *____________*

- Disks
- Squares
- Circles
- Triangles

Answer :-

9. Decision tree learners may create biased trees if some classes dominate. What’s the solution of it?

- Balance the dataset prior to fitting
- Imbalance the dataset prior to fitting
- Balance the dataset after fitting
- None of the above

Answer :-

10. Suppose, your target variable is the price of a house using Decision Tree. What type of tree do you need to predict the target variable?

- Classification tree
- Regression Tree
- Clustering tree
- Dimensionality reduction tree

Answer :-