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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of scaling data before using SVM?
💡 Hint: Think about how different ranges in features might influence distance.
Question 2
Easy
What does the 'C' parameter control in SVM?
💡 Hint: Consider what happens when you set 'C' to a very high value.
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 the primary goal of Support Vector Machines?
- To maximize the margin between two classes
- To minimize the average distance to each point
- To enhance visualization of data
💡 Hint: Think about the concept of distance and classification.
Question 2
True or False: Decision Trees can easily handle both numerical and categorical data without preprocessing.
- True
- False
💡 Hint: Consider what type of data a decision tree can process directly.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset with overlapping classes, explain how you would proceed with model selection and justify your choice based on the characteristics of Decision Trees and SVMs.
💡 Hint: Think about how each model reacts to noise in data.
Question 2
Design a plan to handle overfitting in a Decision Tree model. What steps would include, and what parameters would you tune?
💡 Hint: Consider what 'pruning' means in the context of a tree.
Challenge and get performance evaluation