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2 cards from this section. Quick, good the night before a test.
What is underfitting?
Think about what happens when a model is too simple.
Name one sign of underfitting.
Consider the model's accuracy.
What is underfitting?
Think about what it means for a model to not understand the data.
True or False: Underfitting leads to high accuracy on training data.
Reflect on the performance of a poorly learning model.
A model is created to predict housing prices but it uses only the average price of houses. Discuss whether this model could be underfitting and explain why.
Consider the factors that affect housing prices.
How would you approach re-evaluating an underfitting model to improve its performance? Provide a structured strategy.
Think about what steps you can take to identify and enhance learning.
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