Data Analytics with Python Nptel Week 12 Assignment Answers
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Data Analytics with Python Nptel Week 12 Quiz Answers (Jan-Apr 2025)
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1. Which clustering algorithm works well when the shape of the clusters is hyper-spherical?
a) K means
b) Agglomerative Hierarchical clustering
c) Divisive Hierarchical clustering
d) All of the above
2. In decision tree, an internal node represents –
a) A test on an attribute
b) An outcome of the test
c) Entire sample population
d) Holds a class label
3. Choose the correct statement about the CART model –
a) CART is an unsupervised learning technique
b) CART is a supervised learning technique
c) CART adopts a greedy approach
d) Both b. & c.
4. Which library is used to build the decision tree model?
a) Decision tree classifier
b) DecisionTreeClassifier
c) Decision_Tree_Classifier
d) Decision_tree_model
5. State True or False: Gini Index enforces the resulting tree to have multiway splits
a) True
b) False
6. Chance nodes are represented by ___________
a) Disks
b) Squares
c) Circles
d) Triangles
7. _______ is the measure of uncertainty of a random variable, it characterizes the impurity of an arbitrary collection of examples.
a) Information Gain
b) Gini index
c) Entropy
d) None of the above
8. End Nodes are represented by ________
a) Disks
b) Squares
c) Circles
d) Triangles
9. Decision tree learners may create biased trees if some classes dominate. What’s the solution of it?
a) Balance the dataset prior to fitting
b) Imbalance the dataset prior to fitting
c) Balance the dataset after fitting
d) None of the above
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?
a) Classification tree
b) Regression tree
c) Clustering tree
d) Dimensionality reduction tree
For answers to additional Nptel courses, please refer to this link: NPTEL Assignment
Data Analytics with Python Nptel Week 12 Quiz Answers (Jan-Apr 2025)