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In a scenario where a machine learning model consistently predicts values that are far from the true values, how might bias be contributing to this

In a scenario where a machine learning model consistently predicts values that are far from the true values, how might bias be contributing to this issue?
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Bias has no impact on prediction errors.
igh bias may cause the model to be too complex
High bias suggests that the model is overfitting the data
High bias indicates that the model is underfitting the data

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