12.4.C - Data Leakage
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Practice Questions
Test your understanding with targeted questions
What is data leakage?
💡 Hint: Think about how test data might influence training performance.
Name one common cause of data leakage.
💡 Hint: Consider preprocessing steps.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is data leakage?
💡 Hint: Consider the impact of using test data in the training set.
True or False: Data leakage can result in a model that works well on training data but poorly in actual application.
💡 Hint: Think about the difference between training and real-world scenarios.
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Challenge Problems
Push your limits with advanced challenges
Suppose you have processed a dataset where features were scaled using the entire dataset before splitting. Discuss how this can affect the model's performance during real-world application.
💡 Hint: Think about the implications when the model encounters new data.
Construct a data processing pipeline that incorporates checks for data leakage. Discuss how each step can mitigate potential leakage issues.
💡 Hint: Consider the sequence and relationships between each step in data processing.
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