Explain the bias–variance trade-off

Q: Explain the bias–variance trade-off

This is a Machine Learning interview question from Amazon for Machine Learning Engineer roles. View the full question and solution on PracHub.

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Question

Explain the bias–variance trade-off in supervised learning.

In your answer, cover:

What bias and variance mean in the context of a prediction model.
How total expected error can be decomposed into bias, variance, and irreducible noise.
How model complexity affects bias and variance (underfitting vs. overfitting).
How you would use this concept in practice when choosing or tuning models.

Explain the bias–variance trade-off

Solution

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