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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the primary objective of Support Vector Machines?
π‘ Hint: Think about how SVMs handle classification.
Question 2
Easy
Define Gini impurity.
π‘ Hint: Consider it a measure of class certainty.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is a hyperplane in the context of SVM?
π‘ Hint: Think about the role of a hyperplane in classification.
Question 2
True or False: Soft margin SVMs require perfect separation of classes.
π‘ Hint: Consider how soft margin handles data differently.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset with overlapping classes, determine whether a hard margin or soft margin SVM would yield better results. Justify your choice.
π‘ Hint: Consider the implications of misclassifications in relation to class overlap.
Question 2
Explain the trade-offs involved when pruning a Decision Tree. How does it impact model performance?
π‘ Hint: Focus on the balance between detail and generalization of the model.
Challenge and get performance evaluation