Correct Answer: When the model performs well on training data but poorly on unseen data. Explanation: Overfitting occurs when a model learns the training data too well, including noise and specific details, making it generalize poorly to new, unseen data.
Correct Answer: When the model performs well on training data but poorly on unseen data. Explanation: Overfitting occurs when a model learns the training data too well, including noise and specific details, making it generalize poorly to new, unseen data.