In machine learning, bias refers to the assumptions a model uses to simplify learning. Lower bias is often preferred in supervised learning because these assumptions can limit performance.


In machine learning, bias refers to the assumptions a model uses to simplify learning. Lower bias is often preferred in supervised learning because these assumptions can limit performance.