12.4.D - Imbalanced Datasets
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Practice Questions
Test your understanding with targeted questions
What is an imbalanced dataset?
💡 Hint: Think about how many instances you have of each class.
Name one metric used for evaluating imbalanced datasets.
💡 Hint: Consider metrics that focus on positives.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is a key metric in evaluating imbalanced datasets?
💡 Hint: Think about metrics that account for both false positives and negatives.
True or False: Accuracy is always a reliable metric for model evaluation.
💡 Hint: Consider situations where one class vastly outnumbers another.
1 more question available
Challenge Problems
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Given a dataset with two classes, A (90% samples) and B (10% samples), how would you evaluate a model trained on this data? What metrics would you focus on and why?
💡 Hint: Consider the implications of performance metrics when classes are imbalanced.
Explain how you would implement SMOTE in a practical case and discuss its potential pitfalls.
💡 Hint: Think about balancing quantities and avoiding mimicking too closely.
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