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Q. What does the term "overfitting" mean in machine learning?

  • (A) The model fits the training data too closely and performs poorly on new data
  • (B) The model generalizes well to new data
  • (C) The model is too simple and underperforms on the training data
  • (D) The model is perfectly accurate on all data
  • Correct Answer - Option(C)
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