Question

Overfitting occurs when a machine learning model was trained with two examples with different labels.

Answer 1

Overfitting happens when a model learns the detail and noise in the training data to the extent that it negatively impacts the performance of the model on new data. This means that the noise or random fluctuations in the training data is picked up and learned as concepts by the model.