Practice Module Objectives (for Week 6) (2) - Supervised Learning - Classification Fundamentals (Weeks 6)
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Module Objectives (for Week 6)

Practice - Module Objectives (for Week 6)

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary objective of Support Vector Machines?

💡 Hint: Think about how SVMs handle classification.

Question 2 Easy

Define Gini impurity.

💡 Hint: Consider it a measure of class certainty.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is a hyperplane in the context of SVM?

A type of neural network
A decision boundary that separates classes
A measure of class uncertainty

💡 Hint: Think about the role of a hyperplane in classification.

Question 2

True or False: Soft margin SVMs require perfect separation of classes.

True
False

💡 Hint: Consider how soft margin handles data differently.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset with overlapping classes, determine whether a hard margin or soft margin SVM would yield better results. Justify your choice.

💡 Hint: Consider the implications of misclassifications in relation to class overlap.

Challenge 2 Hard

Explain the trade-offs involved when pruning a Decision Tree. How does it impact model performance?

💡 Hint: Focus on the balance between detail and generalization of the model.

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Reference links

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