What is the concept of 'overfitting' in machine learning?

Quiz Options

• A model that performs poorly on both training and test data
• A model that learns the training data too well, including noise and outliers, leading to poor generalization on new data
• A model that is too simple to capture the underlying patterns
• A model that trains extremely quickly

Explanation & Context

Overfitting occurs when a machine learning model becomes too complex and captures noise in the training data, resulting in diminished performance on unseen data.