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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the main purpose of Support Vector Machines?
💡 Hint: Think about classification tasks and decision boundaries.
Question 2
Easy
Name a measure of impurity used in Decision Trees.
💡 Hint: These measures help evaluate how mixed the classes are.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a hyperplane in the context of SVMs?
- A margin separator
- A type of kernel
- A misclassified point
💡 Hint: Think about how classes are divided.
Question 2
True or False: Soft margin SVM allows for some misclassifications during classification.
- True
- False
💡 Hint: Consider the rigidity of hard margin SVM.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a classification problem using both SVM and Decision Tree. Which one would you prefer for this scenario and why?
💡 Hint: Think about the context of the application and audience.
Question 2
Given a dataset with some noise and overlapping classes, describe how you would tune your SVM model’s parameters. Explain what to adjust and why.
💡 Hint: Contemplate the nature of the dataset's distribution.
Challenge and get performance evaluation