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Knowledge
Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is oversampling?
💡 Hint: Think about how we can increase representation.
Question 2
Easy
Name one disadvantage of undersampling.
💡 Hint: Consider what might get left out.
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 technique increases the number of instances in the minority class?
- Undersampling
- Oversampling
- Data Mining
💡 Hint: What adds more examples rather than taking away?
Question 2
True or False: Undersampling can risk losing valuable data.
- True
- False
💡 Hint: Think about what happens when we cut down on the data.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You are tasked with developing a machine learning model for cancer detection with highly skewed data favoring healthy patients. Explain what re-sampling technique you would apply and justify your choice.
💡 Hint: Always consider how well the model will learn minority characteristics.
Question 2
Devise an approach to balance a dataset for a credit risk assessment model with heavy gender imbalance, where men vastly outnumber women.
💡 Hint: Think about equipping the model equally with perspectives from both classes.
Challenge and get performance evaluation