6.4.2 - The Trade-off
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Practice Questions
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Define underfitting in the context of machine learning.
💡 Hint: Think about the model's ability to learn from data.
What is overfitting?
💡 Hint: Consider the consequences of a model that remembers training data.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is a characteristic of underfitting?
💡 Hint: Remember the outcomes associated with simplicity.
True or False? Overfitting leads to high performance on unseen data.
💡 Hint: Think about the model's capability beyond training data.
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Challenge Problems
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You have developed a model that predicts house prices based on several features, but it is overfitting. Describe steps you can take to improve it without losing its predictive capabilities.
💡 Hint: Think about how complexity affects model performance.
Your recommendation system shows great precision but fails to recommend diverse options to users. What could be a sign of overfitting, and suggest a remedy?
💡 Hint: Consider methods that ensure variety in outputs.
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