Question

high bias leads to a which model

Answer 1

Answer:

A high level of bias can lead to underfitting, which occurs when the algorithm is unable to capture relevant relations between features and target outputs. ... A low bias model incorporates fewer assumptions about the target function. A linear algorithm often has high bias, which makes them learn fast...

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Answer 2

Answer

A high level of bias can lead to underfitting, which occurs when the algorithm is unable to capture relevant relations between features and target outputs. ... A low bias model incorporates fewer assumptions about the target function. A linear algorithm often has high bias, which makes them learn fast...