Practice - Re-sampling
Practice Questions
Test your understanding with targeted questions
What is oversampling?
💡 Hint: Think about how we can increase representation.
Name one disadvantage of undersampling.
💡 Hint: Consider what might get left out.
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What technique increases the number of instances in the minority class?
💡 Hint: What adds more examples rather than taking away?
True or False: Undersampling can risk losing valuable data.
💡 Hint: Think about what happens when we cut down on the data.
2 more questions available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.