Computer Science for IGCSE & O level - Automated And Emerging Technologies (Section 7 - No. 22)
In the context of a machine learning model, what is overfitting?
When a model fails to learn from the data.
When a model learns the training data too well and doesn't generalize.
When a model is too simple to make accurate predictions.
When a model uses the correct amount of data.
Explanation
Overfitting happens when the model fits the training data very closely, including noise, which leads to poor performance on new data.