Practice Comprehensive Comparative Analysis And Discussion (6.2.4) - Supervised Learning - Classification Fundamentals (Weeks 6)
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Comprehensive Comparative Analysis and Discussion

Practice - Comprehensive Comparative Analysis and Discussion

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is a hyperplane in the context of SVM?

💡 Hint: Think about visualizing a line or plane that divides classes.

Question 2 Easy

What does Gini impurity measure in a Decision Tree?

💡 Hint: Consider the likelihood of choosing a point that belongs to the wrong class.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main goal of an SVM?

To minimize the distance between classes
To maximize the margin between classes
To create a complex model

💡 Hint: Consider what the S in SVM stands for and the role of margins.

Question 2

True or False: Decision Trees can easily exhibit overfitting if no constraints are applied.

True
False

💡 Hint: Think about what overfitting means and how it relates to tree depth.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You are tasked with designing a classification model for a financial dataset that includes potential noise and outliers. Discuss which algorithms you would choose (SVM or Decision Tree) and defend your choice with at least three reasons. Consider how you might tune the model to manage overfitting.

💡 Hint: Look into problem characteristics and algorithm strengths.

Challenge 2 Hard

Critically analyze a dataset with highly overlapping classes and propose how you would visualize the decision boundaries if using both a Decision Tree and an SVM. Discuss how these boundaries might differ.

💡 Hint: Consider the geometrical aspects of decision boundaries.

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