Artificial Intelligence & Machine Learning
What is the function or purpose of Overfitting?
- A. A subset of machine learning that uses neural networks with many layers to model complex patterns.
- B. A modeling error where a model learns the training data too well, including noise, and performs poorly on new data. ✓
- C. A supervised learning task that predicts a continuous numerical value.
- D. An optimization algorithm used to minimize a model's error by iteratively adjusting its parameters.
Correct answer
B. A modeling error where a model learns the training data too well, including noise, and performs poorly on new data.
Explanation
Overfitting refers to a modeling error where a model learns the training data too well, including noise, and performs poorly on new data.