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 👁️ Show Answer 💬 Discuss 🔗 Share ⚡Menu ✅ Correct Answer: (C) The model is too simple and underperforms on the training data