Beginner
Artificial Intelligence & Machine Learning
Q3 / 100
What is overfitting in machine learning?
Correct! Well done.
Incorrect.
The correct answer is B) When a model learns the training data too specifically, including noise, performing poorly on new unseen data
B
Correct Answer
When a model learns the training data too specifically, including noise, performing poorly on new unseen data
Explanation
Overfitting: high training accuracy, low test accuracy. The model memorizes training examples rather than learning generalizable patterns. Prevented by regularization, dropout, cross-validation, more data, or simpler models.
Progress
3/100