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Oct 3, 2019 in Artificial Intelligence

Q: What is Bias–Variance tradeoff?

1 Answer

Oct 4, 2019
Bias error is used to measure how much on an average the predicted values vary from the actual values. In case a high-bias error occurs, we have an under-performing model.

Variance is used to measure how the predictions made on the same observation differ from each other. A high-variance model will overfit the dataset and perform badly on any observation.
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