What is overfitting in machine learning?

Quiz Options

• When a model is too simple to capture the data's structure
• When a model learns the training data too well, including noise and outliers, and performs poorly on new data
• When a model takes too long to train
• When a model fails to converge

Explanation & Context

Overfitting occurs when a machine learning model memorizes the training data, leading to high accuracy on the training set but poor generalization to unseen data.