Question: What is the best definition for bias in your data model?

  1. Bias is when your predicted values are scattered.
  2. Bias is the gap between your predicted value and the outcome.
  3. Bias is when your data is wrong for differnet reasons.
  4. Bias is when your values are always off by the same percentage.

Answer: The correct answer of the above question is Option B:Bias is the gap between your predicted value and the outcome.