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Ashish Verma
06 May 2024 11:25 AM study24x7 study24x7

Explain the term "bias" in the context of machine learning models.

A

Bias is the error introduced by a model due to overfitting

B

Bias is the difference between predicted and actual values in the training data

C

Bias represents the tendency of a model to systematically underpredict or overpredict

D

Bias is a measure of the model's sensitivity to changes in input features

Software Developer Artificial Intelligence Computer Science
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