📊 Data Science
Q. What does the term "overfitting" refer to in the context of model evaluation and validation?
  • (A) The model fits the training data perfectly
  • (B) The model has too few parameters
  • (C) The model generalizes well to new data
  • (D) The model has low bias and high variance
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✅ Correct Answer: (A) The model fits the training data perfectly

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