📊 Data Science
Q. What does the term "bias" refer to in model evaluation and validation?
  • (A) The model's flexibility
  • (B) The difference between predicted and actual values
  • (C) The model's ability to generalize to new data
  • (D) The model's ability to fit the training data
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✅ Correct Answer: (B) The difference between predicted and actual values

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