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Explain what low bias and low variance indicate
Question: In a supervised learning setting, what does it suggest when a classifier has both low bias and low variance?
Sample answer: A classifier with low bias and low variance is generally in a strong position. This combination suggests the model is performing well and is likely to generalize effectively.
Key points:
- Low bias and low variance together indicate that the classifier is doing well.
- This combination is a sign of strong overall performance.
Rubric: The response must state that the classifier is performing well and that low bias and low variance correspond to strong performance.
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