29.8 - Overfitting and Underfitting
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Practice Questions
Test your understanding with targeted questions
Define overfitting in your own words.
💡 Hint: Think about the model's performance on new data.
What is underfitting?
💡 Hint: Consider what might happen if the model cannot learn from the training data.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What term describes a model that learns too much from training data, leading to poor performance on new data?
💡 Hint: Think about how well the model performs on unseen data.
True or False: Underfitting occurs when a model is too complex.
💡 Hint: Remember what happens when a model cannot learn from the data.
1 more question available
Challenge Problems
Push your limits with advanced challenges
A company has a machine learning model that performs exceptionally well during training but fails to accurately predict new products. What might be the cause, and what steps can be taken to address this?
💡 Hint: Consider how complexities might affect the model's adaptability.
Your team is building a predictive model that consistently underperforms. What approaches would you explore to improve its predictive accuracy?
💡 Hint: Think about model adaptability and the quality of training data.
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